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O R I G I N A L A R T I C L E
Locus of control as a moderator of the effects of COVID-19
perceptions on job insecurity, psychosocial, organisational, and job
outcomes for MENA region hospitality employees
Ali B. Mahmoud1,2
| William D. Reisel1
| Leonora Fuxman1
| Dieu Hack-Polay3,4
1
St. John’s University, New York, New
York, USA
2
University of Wales Trinity Saint David,
London, UK
3
Crandall University, Moncton, Canada
4
University of Lincoln, Lincoln, UK
Correspondence
Ali B. Mahmoud, St. John’s University, New
York, NY, USA.
Email: elguitarrista@live.com;
mahmouda@stjohns.edu
We develop and test an integrated model to understand how individual differences
based on internal or external locus of control influence the effects of COVID-19
perceptions on job insecurity, anxiety, alienation, job satisfaction, customer orien-
tation, organisational citizenship behaviour (OCB), and turnover intention among
customer service employees within hospitality organisations in the Middle East
and North African (MENA) region. The investigation utilises variance-based
structural equation modelling to evaluate a sample of 847 subject responses. We
found that externally controlled employees are more likely to develop negative
emotions resulting from pandemic-triggered job insecurity as well as poorer cus-
tomer orientation and engagement in OCB due to worsened job satisfaction than
those internally controlled. Wholistically, COVID-19 perceptions tend to indi-
rectly hit externally controlled employees’ anxiety, customer orientation, and
OCB more intensely than those with internal locus of control.
K E Y W O R D S
COVID-19, customer orientation, hospitality industry, job insecurity, job satisfaction, locus of control,
MENA region, organisational citizenship behaviour, psychosocial factors, turnover intention
INTRODUCTION
The unprecedented COVID-19 pandemic has affected
nearly all aspects of daily life, introducing panic and fear
across the globe, subjecting healthcare systems to massive
caseloads and the simultaneous need to innovate treat-
ments to contain the deadly virus (Ibrahim et al., 2020).
Consequently, this pandemic represents a critical chal-
lenge for many business leaders, entrepreneurs, and
employees across nearly all industries and nations
(Donthu & Gustafsson, 2020). In addition, COVID-19
has imposed disruptions to the very nature of hospitality
services, turning many hotels and lodging services into
isolation centres for quarantined tourists who are vulner-
able to COVID-19 infection (Rutynskyi &
Kushniruk, 2020).
In response to the pandemic, hospitality industry
practices shifted quickly to provide physical distancing
(Khoa et al., 2020). Furthermore, a growing number of
businesses in this sector (e.g., hotels and airlines) have
deployed robots with disinfecting ultraviolet light
(Glusac, 2020), which has further accelerated machine
displacement over tasks customarily handled by humans
since the birth of the fourth industrial revolution
(Mahmoud, 2021). In this regard, the drive to replace
humans with robots is accelerating as firms struggle to
avoid workplace infections of COVID-19 and to remain
viable by cutting costs (Mahmoud, 2021), causing a per-
manent loss of at least 42% of the jobs (Semuels, 2020).
Therefore, as service robots acquire strategic importance
for service delivery systems within hospitality businesses
(Choi et al., 2019), this is built at the expense of human
capital (Mahmoud, 2021), producing adverse effects on
the psychological and well-being aspects (e.g., anxiety) as
well as job attitudes (e.g., job insecurity and job satisfac-
tion) and organisational outcomes (e.g., organisational
citizenship behaviours, customer orientation, and turn-
over intentions) (Mahmoud et al., 2021) in the hospitality
sector.
Our research focuses on how threats caused by
COVID-19 can lead to surges in job insecurity and poor
psychosocial responses among employees
(Hamouche, 2020). Thus, we anticipate that, as a func-
tion of COVID-19, there will be a deterioration of job
attitudes and organisational behaviours in the workplace
(Mahmoud et al., 2020). While this research does not
DOI: 10.1111/emre.12494
European Management Review. 2021;1–20. wileyonlinelibrary.com/journal/emre © 2021 European Academy of Management 1
address customer-related effects, we can surmise that hos-
pitality workers will serve their clients less well, leading
to a decrease in client satisfaction levels (Mahmoud
et al., 2021). It follows that service deficits can have the
ultimate effect of undermining the strategic flexibility of
business competitive advantage (Sverke et al., 2019). Our
contribution focuses on evaluating evidence about how
the broad effects of COVID-19 perceptions are related to
job insecurity, anxiety, alienation, job satisfaction, cus-
tomer orientation, organisational citizenship behaviours,
and turnover intentions amongst customer service
employees working in hospitality organisations. The
direct implications of our research apply to the MENA
region. However, we also expect the implications to gen-
eralise to other regional contexts given the common use
of contract and foreign labour in hospitality and other
industries. The pertinence of the findings for European
management is significant for the reason that many of
the large hotel chains in the MENA regions originate
from Europe, for example, Accor, Best Western Premier,
and the IHG group. Our findings furnish data that could
inform the preparation and management strategy of the
thousands of European executives sent every year to the
MENA as expatriate managers. This makes MENA hos-
pitality a sizeable employer of European labour force.
The research also has relevance for European manage-
ment, given the high mobility of both labour and hospi-
tality tourists between the two regions. In fact, many
customers of MENA hospitality firms are European
tourists, particularly from European countries pertaining
to the Mediterranean geographical sphere, for example,
Italy, Portugal, Spain, and Greece. At the same time,
much of the workforce in Southern European hospitality
industry have MENA national backgrounds
(Hopfinger & Scharfenort, 2020).
Additionally, we evaluate the role of employee self-
efficacy perceptions through locus of control
(Rotter, 1966) to establish whether subjects with internal
locus of control may be less likely to experience adverse
effects from COVID-19 perceptions in our hypothesised
model (Parent-Lamarche & Marchand, 2019). We
expect employees with external locus of control to expe-
rience more negative effects related to COVID-19 per-
ception. Thus, this study evaluates whether an
employee’s locus of control can influence the hypo-
thesised relationships and seeks to offer guidance for
management.
The MENA region has been under economic strain
and regional geopolitical conflicts and tensions for many
years. Compounding these economic challenges is the
ongoing COVID-19 crisis (OECD, 2020). No prior crisis
in modern history has caused as much destruction and
damage to the hospitality sector as COVID-19 has
(Sonmez et al., 2020).
This investigation’s geographic location is significant,
given that many MENA economies, besides the oil indus-
try, largely rely on the tourism industry, particularly
visitors from Europe (Luciani, 2017; Hopfinger &
Scharfenort, 2020). Moreover, the sector has been deeply
affected by the continuing COVID-19 crisis (Baum
et al., 2020). Nevertheless, little research has been under-
taken to understand these issues and how the response of
workers may be moderated by employee locus of control.
This research fills the knowledge gap in this area. Fur-
thermore, the intent is to offer guidance so local man-
agers and European expatriate executives can devise
policies to reduce the negative impact of COVID-19 on
hospitality workers.
The rest of this article is organised into three main
sections. The first section examines the literature that
addresses the precarity of jobs and psychosocial issues
affecting employees in the hospitality sector. This first
section also provides some background to the COVID-19
pandemic and forwards the hypotheses. The second
section presents the methods, including participant
recruitment, data collection, and analysis methods. The
third section discusses the study findings in relation to the
extant literature. The article finally draws conclusions
that summarise the key findings, offers practical implica-
tions, discusses the research limitations, and suggests
directions for future investigations.
LITERATURE REVIEW AND
THEORETICAL FRAMEWORK
Locus of control
The enormity of the threat posed by COVID-19 to
employees prompted us to contemplate if there might be
any mitigating factors based on individual differences,
and we sought to explore if certain individuals could
better navigate the shifting terrain and personal
response to the pandemic. To account for this and to
see if specific dispositional orientations might moderate
the model’s results, we focused on the idea of perceived
control over external events, given that COVID-19 rep-
resents a macro factor that will undoubtedly trigger
thinking about how to counteract its potential adverse
effects. Thus, we selected locus of control as a potential
explanatory disposition to understand how employees
might react when they view the world as either con-
trolled by external or internal factors. Rotter (1966) ter-
med this ‘locus of control’, which holds that employees
will differ on the extent to which they view rewards,
punishments, or other events in their lives as caused by
their own actions or by factors beyond their control.
Individuals with an orientation to internal locus of con-
trol are likely to view themselves as more able to man-
age external situations based on their ability,
experience, or self-efficacy. Conversely, we might pre-
dict that the model effects would be more pronounced if
the individual’s orientation was external locus of control
(Keim et al., 2014). A meta-analysis of locus of control
2 MAHMOUD ET AL.
at work found that locus of control positively predicts
job satisfaction and work performance (Ng et al., 2006).
Job insecurity research beginning with suppositions
from Greenhalgh and Rosenblatt (1984) has also
highlighted the moderating effect of internal locus of
control on job insecurity.
Moreover, meta-analytic studies such as that con-
ducted by Cheng et al. (2013) have shown that locus of
control moderates psychosocial reactions. Additionally,
hospitality workers occupy positions that give them little
autonomy over their work activities due to the routinised
nature of the work and often excessively controlling
supervision. Our expectation, therefore, is that locus of
control internals will have more muted psychosocial reac-
tions than externals. We take this dispositional perspec-
tive into the formulation of each of our model’s
subsequent hypotheses.
The hospitality industry tests positive: COVID-
19 perceptions and job insecurity
Hospitality sector workers have precarious employment
not only because they are frontline and at risk of
exposure, but they also face obsolescence due to
employers quickly introducing labour saving tools and
robotics (Rydzik & Kissoon, 2021). In the case of
workers in the sector, compensation, working condi-
tions, and employer support have not traditionally
been generous. Such support has been even more
scarce for flexible workers (Abendroth & den
Dulk, 2011). A similar lack of organisational interest
in work–life balance seems to exist generally in emerg-
ing economies, including the MENA region, where
hospitality workers are commonly exposed to pro-
longed or irregular hours of work with little or no
social protection (Salvador & Cossani, 2020). The con-
sequences of such flexibility for working conditions are
harmful as they engender widespread ‘mental over-
charge’ and lead to stress and associated pathologies
(Guerrero, 2003). In emerging economies, more gener-
ally, workers seem to accept working conditions
imposed upon them by employers as inevitable
(Akanji, 2012), particularly with the lack of institu-
tional and social safety nets to reduce job insecurity
and exploitation. Even in the West, including Europe
(see Ayudhya et al., 2017; Hobson et al., 2011), the
capabilities approach (Sen, 1999 [1985]) offers a theo-
retical basis for the adverse ramifications that global
crisis (e.g., pandemics) can have on work–life balance
(Ayudhya et al., 2017).
Because of the COVID-19 pandemic, the global
hospitality industry lost an estimated 100 million jobs
(Statista, 2020). Therefore, COVID-19 has exacerbated
job insecurity perceptions in the hospitality sector by
introducing more anxiety as redundancies have become
a feature of the pandemic economy (Pierce
et al., 2020). We, therefore, formulate the following
hypothesis:
H1 Locus of control moderates the positive
relationship between COVID-19 perceptions
and job insecurity, such that this relationship
is stronger for external than for internal locus
of control.
Job insecurity and psychosocial factors
There is extensive literature examining the relationship
between job insecurity and associated psychosocial corre-
lates such as anxiety and alienation. See, for example,
meta-analysis and research (Cheng & Chan, 2008;
Mahmoud et al., 2020). Numerous theoretical explana-
tions suggest why job insecurity (concern about losing
one’s job) causes negative psychosocial responses. Most
prominent is the conservation of resources stress theory
(Hobfoll, 1989) and psychological contract breach
(Rousseau, 1995). The conservation of resources stress
model (Hobfoll, 1989) suggests that the perception of
having a job at risk (job insecurity) is debilitating emo-
tionally as it strains the employee’s personal ability to
counteract the threat of job loss largely because there are
so many unknowns outside of one’s personal control,
thus negatively affecting one’s psychosocial well-being. A
second theoretical underpinning of the relationship is the
informal psychological contract between employees and
employers. This is an exchange-based explanation of
attachment to work in which employee performance is
rewarded with implicit guarantees of job security and
material and non-material rewards (Rousseau, 1995). A
threat to one’s job represents a substantial breach of the
psychological contract and is detrimental to an
employee’s livelihood, connection to meaningful work,
social aspects of work, and indirect problems outside of
work with family and social relations.
The hospitality industry, we anticipate, is an appro-
priate context to study these relationships. Employees in
this industry perform critical roles that determine cus-
tomer satisfaction; hence they contribute to firm competi-
tive advantage and profitability. However, hospitality
workers occupy one of the most unstable positions in the
labour market owing to their lack of contractual or union
safeguards, and they must perform demanding jobs with
risks to physical and mental well-being due to low job
security, variable, and long hours (Kearsey, 2020). That
instability has been postulated as an immersive reality in
the hospitality industry (Ncube & Oni, 2020). Moreover,
the industry has been characterised as a high strain sector
not only due to the precariousness of roles but also
because workers have limited autonomy to adapt, hence
causing further negative implications for well-being
(Ariza-Montes et al., 2018). The inherently stressful
nature of hospitality work has now the added burden of
EMPLOYEES’ LOCUS OF CONTROL IN PANDEMIC TIME 3
reporting to the front lines, where exposure to COVID-
19 is an additional source of stress and health risk.
Empirical evidence offered by Faragher et al. (2013)
meta-analysis indicates that work facets such as job satis-
faction are strongly affected by anxiety and other mental
health issues. The associations are considerably larger
than effects among any other aspects of mental well-
being. For theoretical and empirical reasons, job insecu-
rity presents a facet of work–life that is particularly
threatening to employees’ mental health, and our expec-
tation is that job insecurity will be strongly associated
with adverse psychosocial outcomes (Sora et al., 2013).
Expectancy theory, moreover, suggests that workers will
compare previous work conditions with current develop-
ments (e.g., Feather & Rauter, 2004; Guarnaccia
et al., 2016; Hünefeld et al., 2019; Urbanaviciute
et al., 2015; Vujiči
c et al., 2014). Hence, we hypo-
thesise that:
H2 Locus of control moderates the positive
relationship between job insecurity and anxi-
ety such that this relationship is stronger for
externals than for internals.
H3 Locus of control moderates the positive
relationship between job insecurity and alien-
ation such that this relationship is stronger for
externals than for internals.
H4 Locus of control moderates the positive
relationship between anxiety and alienation
such that this relationship is stronger for
externals than for internals.
Psychosocial factors and job satisfaction
Imagining what it is like to have a job that makes an indi-
vidual anxious and alienated is to fathom the extraordi-
nary challenge of performing well while not knowing if
one has a job in the future. From an attitudinal stand-
point, the literature has shown how an individual’s emo-
tional states negatively influence job satisfaction, one of
the most important employee attachment attitudes to
their employers (Cheng  Chan, 2008; Mahmoud
et al., 2020). In a meta-analysis of 500 studies associating
health and job satisfaction, Faragher et al. (2013) con-
cluded there is a solid relationship between job satisfac-
tion and both mental and physical health. Furthermore,
Greenhalgh and Rosenblatt’s seminal theory article on
job insecurity (Greenhalgh  Rosenblatt, 1984) noted
that job insecurity has long been recognised in the man-
agement literature as a negative predictor of employee
satisfaction. In this paper, we regard job satisfaction as a
global attitude towards the job and define it as the fulfil-
ment or satisfying emotional state that results from the
positive appraisal of job experiences on the part of the
employee (Chang et al., 2010).
Hospitality industry employees, as noted earlier, face
strains and demands that are endemic and difficult to
avoid. The work is characterised by limited job security,
physical risk, and limited control or autonomy while
offering almost no significant work–life balance benefits
(Kusluvan et al., 2010). Based on theoretical reasons and
empirical evidence (e.g., Ayudhya et al., 2017; Cheng 
Chan, 2008; Kusluvan et al., 2010; Mahmoud
et al., 2020), we anticipate that psychosocial factors will
negatively predict job satisfaction. For both stress-based
reasons and those of psychological contract breach,
employees with negative psychosocial reactions to job
insecurity are likely to have lower levels of job satisfac-
tion, hence:
H5 Locus of control moderates the negative
relationship between anxiety and job satisfac-
tion such that this relationship is stronger for
externals than for internals.
H6 Locus of control moderates the negative
relationship between alienation and job satis-
faction such that this relationship is stronger
for externals than for internals.
Job satisfaction and customer orientation
The hospitality industry is dependent on employees who
understand and serve customers properly. Given the crisis
circumstances prompted by the COVID-19 pandemic, we
have reasoned and cited evidence that the negative
impact on global economies and the labour markets have
been profound. In this context, the prospect of greater
individual job insecurity is likely to negatively affect sev-
eral work dimensions, including employee job satisfac-
tion. Moreover, the erosion of employee attachment to
their firm should further predict negative performance
effects such as reduced customer orientation. Earlier
research that examined the effects of job insecurity on
customer orientation (Reisel et al., 2005) found negative
relationships for key account management behaviours:
Job insecure employees performed worse on customer
performance, effectiveness with customers, adaptability
to changing competitive conditions, and corporate esprit
de corps. In addition, Mahmoud et al. (2020) found a
strong positive association between overall motivation
and customer orientation amongst customer service
workers.
Moreover, Brown et al.’s (2002) study emphasised the
importance of direct service providers being oriented to
deliver high-quality service. Finally, in a hospitality set-
ting, Choi and Joung (2017) found that job satisfaction
exerts a positive and direct impact on customer orienta-
tion. With this evidence and our previously hypothesised
4 MAHMOUD ET AL.
expectations, we anticipate that job satisfaction will be
positively related to customer orientation; thus, we hypo-
thesise the following:
H7 Locus of control moderates the positive
relationship between job satisfaction and cus-
tomer orientation such that this relationship is
stronger for internals than for externals.
Job satisfaction and organisational citizenship
behaviour
Building on prior empirical research that has found posi-
tive effects of job satisfaction on organisational citizen-
ship behaviour, we expect a similar pattern in the
hospitality industry context in MENA countries
(Mahmoud et al., 2020). Specifically, organisational citi-
zenship behaviours are critical employee behaviours that
contribute to the overall firm performance in the service
industry because they represent extra roles, not techni-
cally required job tasks. Though organisational citizen-
ship behaviours are not directly rewarded via a
compensation system, they are recognised to contribute
to the organisation’s effective functioning (Organ, 1988).
Moreover, Social Exchange Theory (Organ, 1988) sug-
gests that job satisfaction contributes to organisational
effectiveness by enhancing employees’ engagement in
organisational citizenship behaviours. Further, previous
research has evidenced the positive effects of job satisfac-
tion on organisational citizenship behaviours amongst
hospitality employees (e.g., Araslı  Baradarani, 2014);
hence, we propose:
H8 Locus of control moderates the positive
relationship between job satisfaction and
organisational citizenship behaviour such that
this relationship is stronger for internals than
for externals.
Job satisfaction and turnover intentions
Mindful of the hospitality industry as the context of the
present investigation, the notion that a broad global pan-
demic has introduced crisis levels of disorder into global
economic, labour, political, and health systems, we can
easily imagine that this constellation of impacts is greatly
affecting attachment attitudes such as job satisfaction.
Not only have we seen this play out in terms of raw job
losses around the world, but undoubtedly this presages
the substantial increase of job insecurity across larger
classes of employees. Supported by both well-established
theories (e.g., social exchange) as well as many empirical
investigations (e.g., Hellman, 1997), job satisfaction
among employees in the hospitality industry is a signifi-
cant indicator of intention to remain with the firm (Amin
et al., 2017) and we expect that the validity of this rela-
tionship will persist and be more empirically evidenced
amongst hospitality workers during the current pan-
demic. Hence our hypothesis is:
H9 Locus of control moderates the negative
relationship between job satisfaction and
turnover intentions such that this relationship
is stronger for internals than for externals.
Figure 1 depicts the theoretical model,
which illustrates hypotheses H1 through H9.
MATERIALS AND METHODS
The current study investigated the hospitality sector’s
customer service workforce in the MENA, a 20-country
region covering the Middle East and North Africa. A
surveyor team took on the data collection process, which
commenced in April and ended early in October 2020.
The survey participants were recruited through LinkedIn
(a professional social network). LinkedIn search filters
were set to locate the study subjects. Criteria utilised
included the country name, job role, and hospitality sub-
sectors, for example, restaurants, food and beverages, air-
lines, leisure, travel and tourism, and events services.
LinkedIn is a professional networking platform where
job seekers can share their skills, qualifications, work
experience, and any other professional-related informa-
tion with other premium services like training short
courses. It enables employers or recruiters to post job ads
and search for prospective candidates. We chose
LinkedIn to recruit our sample because it is considered
the world’s largest professional network, with 722+
million members in more than 200 countries and terri-
tories worldwide. Our search for customer service
employees working in the MENA region’s hospitality
sectors returned about 203,000 results. Recent research in
business psychology has used such a sampling procedure
(e.g., Dettmers  Biemelt, 2018). Having filtered the sea-
rch results, the surveyors selected one case for every two
counts. All the participants were made familiar with the
aim and methods of the investigation. They were advised
that they could raise issues about the study, ask ques-
tions, or leave the survey at any point. A part of the ques-
tionnaire was a consent to take part in the survey.
Considering that the survey was carried out online, the
signatures of the participants were not acquired.
Responses to the survey were anonymous, and all partici-
pants were instructed that their responses would be confi-
dential. The 10-min questionnaire was made available in
both Arabic and English. The surveyors approached the
participants either through direct messaging if the partici-
pant was a first-level user (i.e., an already connection of
the surveyor) or via a note message with a connection
EMPLOYEES’ LOCUS OF CONTROL IN PANDEMIC TIME 5
request for a second- (i.e., those having shared connec-
tion with the surveyor) and third-level users (i.e., those
not sharing any connections with the surveyor). Over the
period of data collection, nearly four thousand partici-
pants were contacted. Participation in the survey was vol-
untary, anonymous, and without formal compensation.
However, those invited to participate in this study were
offered the chance to enter a draw to win a USD
50 Netflix gift card. Furthermore, those interested would
be emailed a copy of the article alongside a layman sum-
mary upon publication. However, for consideration, a
participant would voluntarily provide their email address
before submitting their response. As a result of that pro-
cedure, our study returned 847 responses (response
rate = 21%) used in the analyses. No responses with
missing data were found.
COVID-19 perceptions were assessed using a three-
item scale that was designed for this investigation. We
employed previously validated scales described in the
work of Francis and Barling (2005) to measure job
insecurity, Hamilton (1959) to measure anxiety,
Lang (1985) and Banai and Reisel (2007) to measure
alienation, Judge et al. (2006) to measure job satisfac-
tion, Brown et al. (2002) to measure customer orienta-
tion, Van Dyne et al. (1994) to measure organisational
citizenship behaviours, Mobley et al. (1978) to measure
turnover intentions, and finally Spector (1988) to mea-
sure work locus of control. A 5-point Likert scale was
adopted to score the responses to those measures. For
the purposes of assessing its moderating role in the
path model, locus of control was converted into a
dummy variable where people with external locus of
control were coded as (0) and those with internal locus
of control as (1). Appendix A shows the items of the
used measures.
A variety of indicators were adopted to assess the
validity and reliability of measures. We examined the the-
oretical model utilising a variance-based or partial least
square structural equation modelling approach (PLS-
SEM) via SmartPLS 3 (Ringle et al., 2015). PLS-SEM
has obtained more academic favourability when testing
predictive models (Mahmoud et al., 2021). Also, most
data are expected to violate the criterion of multivariate
normality (Mahmoud et al., 2021); therefore, the PLS-
SEM approach has been recognised as a feasible option
for empirical investigations where data are sensitive to
non-normality matters (Hair et al., 2017). We conducted
a path evaluation followed by multigroup analysis
(MGA), building on standardised betas (β: for direct
effects), unstandardised betas (B: for indirect effects) and
the matching t values by using bootstrapping, Q2
for pre-
dictive relevance, and Cohen’s f2
to ascertain effect sizes
where f2
≥ 0.02, f2
≥ 0.15, and f2
≥ 0.35 epitomise small,
medium, and large effect sizes, respectively. Besides, the
standard root mean square residual (SRMR) was used to
evaluate the model fit to the data.
F I G U R E 1 Theoretical model
6 MAHMOUD ET AL.
RESULTS
Measures’ validity and reliability
We computed the heterotrait–monotrait ratio of correla-
tions (HTMT) and found values of less than 0.9, imply-
ing a satisfactory level of discriminant validity for all
measures (Hair et al., 2019). All the constructs had
average variance extracted (AVEs) higher than 0.5,
composite reliability scores (CRs) between 0.765 and
0.915, satisfying the convergent validity and reliability
criteria for all measures (Hair et al., 2019). Variance
inflation factor values (VIFs) were less than 5, offering
evidence that collinearity is not a crucial issue (Hair
et al., 2019).
Common method bias
Before moving on to the path and multigroup analyses,
we ran common-method bias (CMB) tests, which are
required when using perceptual, self-report measures
from a single survey. The inner variance inflation factors
(VIFs) values were all less than 3.3. Consequently, we
concluded that there were no multicollinearity or CMB
issues found (Kock, 2015).
Sample description
Using SPSS version 26, most of our sample (see Table 1)
were male (57%), millennial (46%), educated to a univer-
sity degree (40%), single (54%), and with external locus
of control (58%). Appendix B shows the descriptive sta-
tistics of the variables under investigation clustered into
locus of control groups. It suggests that those with an
external locus of control reported higher levels of
COVID- 19 perceptions, job insecurity, alienation, anxi-
ety and turnover intentions and lower scores on job satis-
faction, customer orientation, and OCB.
Path analysis and multigroup analysis
Given the reflective nature of the latent variables in
our model (Mahmoud et al., 2021), we performed
Consistent-PLS Algorithm, followed by Consistent PLS
Bootstrapping run at 5000 subsamples (Preacher 
Hayes, 2008) in order to analyse the hypothesised path
model. Moreover, to assess the path model invariance
across the two groups of locus of control (i.e., internal
vs. external), a multigroup analysis (MGA) is intended to
be run. However, before that, we need to ensure that
measurement invariance is established as a prerequisite to
MGA (Henseler et al., 2016).
According to Henseler et al. (2016), running group
comparisons through PLS-SEM can be ‘misleading’
unless the invariance of their measures is confirmed.
As suggested by Henseler et al. (2016), this prerequisite
can be accomplished by using the “Measurement
Invariance of the Composite Models” (MICOM) tech-
nique. Therefore, before running any multigroup ana-
lyses (in our case: with no data pooling), both
configural invariance and compositional invariance
need to be verified (Hair et al., 2019; Henseler
et al., 2016). Since we employ a PLS-SEM approach,
the measurement configural invariance is, by default,
achieved (Hair et al., 2019). Following that, we ran a
permutation test. All the constructs have their “Permu-
tation P-values” greater than 0.05; thus, we accept the
null hypothesis meaning that the original correlations
of these constructs are non-substantially different
from 1. This result offers supporting evidence for com-
positional invariance, implying a feasible multigroup
analysis (Hair et al., 2019).
Testing the direct effects (see Table 2), COVID-19
perceptions are found to positively predict job insecurity
(β = 0.364, P  0.001, f2
 0.15, P  0.001) that in turn
positively predicts anxiety (β = 0.533, P  0.001,
f2
 0.35, P  0.001) and alienation (β = 0.456,
P  0.001, f2
 0.35, P  0.001). Anxiety positively pre-
dicts alienation (β = 0.465, P  0.001, f2
 0.35,
T A B L E 1 Sample demographic profile
Trait Value Frequency Percent
Sex Male 479 56.6
Female 368 43.4
Education High School or Lower 130 15.3
College or some years in HE 221 26.1
Bachelor’s 335 39.6
PG graduate or student 161 19
Marital Status Single 456 53.8
Has partner 391 46.2
Generational Cohort Gen Z 185 21.8
Gen Y 392 46.3
Gen X 270 31.9
EMPLOYEES’ LOCUS OF CONTROL IN PANDEMIC TIME 7
P  0.001). Alienation is found to be the only psychoso-
cial factor that significantly exerts a real worsening direct
negative effect on job satisfaction (β = 0.582,
P  0.001, f2
 0.35, P  0.001). Besides, job satisfaction
is found to positively predict customer orientation
(β = 0.354, P  0.001, f2
 0.15, P  0.001) and
organisational citizenship behaviour (β = 0.704,
P  0.001, f2
 0.35, P  0.001) and lower the chances
for the development of turnover intentions (β = 0.474,
P  0.001, f2
 0.15, P  0.001).
All the indirect effects/mediations are found signifi-
cant. Interestingly, COVID-19 perceptions affect all the
variables in the model, either directly as in the case of job
insecurity or indirectly for the remaining ones. Thus, it
can be concluded that COVID-19 perceptions indirectly
affect the levels of anxiety (B = 0.196, SD = 0.027,
P  0.001), alienation (B = 0.26, SD = 0.032, P  0.001)
and turnover intentions (B = 0.072, SD = 0.014,
P  0.001). Further, COVID-19 perceptions contribute
to the deterioration of job satisfaction (B = 0.152,
SD = 0.022, P  0.001), customer orientation
(B = 0.055, SD = 0.01, P  0.001) and organisational
citizenship behaviour (B = 0.107, SD = 0.016,
P  0.001). Table 3 shows all the total indirect effects in
the model whilst Appendix C demonstrates the specific
indirect effects where the full list of mediators for an indi-
rect effect is detailed.
Moving onto MGA, t values associated with the mul-
tiple comparisons and reported in the parametric tests are
analysed. Overall, all paths remain significant for both
groups of locus of control (at a significance level of
0.001). However, we discover that the paths job
insecurity == anxiety, anxiety == alienation, job sat-
isfaction == customer orientation, and job sati-
sfaction == organisational citizenship behaviour are
significantly non-equivalent between the two groups. In
other words, looking at Figure 2 and Table 4, the results
reveal that customer service employees with external
locus of control are more vulnerable to anxiety as
consequence of COVID-19-triggered job insecurity
(H2: βint. = 0.265  βext. = 0.574, text. vs. int. = 5.705,
P  0.001) and hence the resulting alienation from this anx-
iety (H4: βint. = 0.301  βext. = 0.421, text. vs. int. = 1.970,
P  0.05) than those with internal locus of control. Besides,
employees with external locus of control tend to develop
more intense declines in customer orientation (H7:
βint. = 0.468  βext. = 0.211, text. vs. int. = 4.160, P  0.001)
and organisational citizenship behaviour (H8:
βint. = 0.703  βext. = 0.513, text. vs. int. = 4.241, P  0.001)
due to plummets in job satisfaction during pandemic time.
Therefore, we judge H2, H4, H7, and H8 as supported and
H1, H3, H5, H6, and H9 as unsupported.
In terms of COVID-19 perception indirect effects invari-
ance, our results show that for the participants with external
locus of control in this study, COVID-19 perceptions
tend to indirectly hit anxiety (Bint. = 0.123  Bext. = 0.227,
text. vs. int. = 2.108, P  0.05), customer orientation
(Bint. = j0.032j  Bext. = j0.078j, text. vs. int. = 2.375,
P  0.05) and OCB (Bint. = j0.242j  Bext. = j0.362j,
text. vs. int. = 2.716, P  0.01) more intensely than those with
internal locus of control.
Finally, with SRMR equivalent to 0.041  0.08, we
decide that our hypothetical model is an excellent fit for
our data. Q2
values of all the predictors are larger than
0, which suggests ample predictive relevance. Addition-
ally, R2
values for job insecurity (0.134), anxiety (0.284),
alienation (0.653), job satisfaction (0.342), customer ori-
entation (0.130), organisational citizenship behaviours
(0.497), and turnover intentions (0.224) were all higher
than zero, suggesting that our model possesses substantial
predictive accuracy.
DISCUSSION
The COVID-19 pandemic is the most serious global
health crisis in more than 100 years. The purpose of the
present research was to examine effects associated with
T A B L E 2 Hypotheses testing—direct effects
Path β t f2
Decision
COVID-19 Perceptions ! Job Insecurity 0.364** 9.435** ≥0.15** Supported
Job Insecurity ! Anxiety 0.533** 17.106** ≥0.35** Supported
Job Insecurity ! Alienation 0.456** 11.386** ≥0.35** Supported
Anxiety ! Alienation 0.465** 11.874** ≥0.35** Supported
Anxiety ! Job Satisfaction 0.087 1.38NS
0.02NS
Unsupported
Alienation ! Job Satisfaction 0.582** 16.306** ≥0.35** Supported
Job Satisfaction ! Customer Orientation 0.354** 9.964** ≥0.15** Supported
Job Satisfaction ! OCB 0.704** 26.178** ≥0.35** Supported
Job Satisfaction ! Turnover Intentions 0.474** 12.024** ≥0.15** Supported
Note: NS
means non-significant.
**P  .001
8 MAHMOUD ET AL.
T A B L E 3 Hypotheses testing—indirect effects testing
Path B SD t
COVID-19 Perceptions ! Anxiety 0.196** 0.027 7.149
COVID-19 Perceptions ! Alienation 0.26** 0.032 8.127
COVID-19 Perceptions ! Customer Orientation 0.055** 0.01 5.577
COVID-19 Perceptions ! Job Satisfaction 0.152** 0.022 6.932
COVID-19 Perceptions ! OCB 0.107** 0.016 6.732
COVID-19 Perceptions ! Turnover Intentions 0.072** 0.014 5.184
Job Insecurity ! Alienation 0.248** 0.026 9.684
Job Insecurity ! Customer Orientation 0.148** 0.018 8.226
Job Insecurity ! Job Satisfaction 0.412** 0.028 14.482
Job Insecurity ! OCB 0.29** 0.023 12.545
Job Insecurity ! Turnover Intentions 0.195** 0.027 7.111
Anxiety ! Customer Orientation 0.098** 0.014 6.869
Anxiety ! Job Satisfaction 0.272** 0.028 9.888
Anxiety ! OCB 0.192** 0.021 9.324
Anxiety ! Turnover Intentions 0.129** 0.021 6.241
Alienation ! Customer Orientation 0.21** 0.024 8.578
Alienation ! OCB 0.412** 0.03 13.526
Alienation ! Turnover Intentions 0.277** 0.038 7.189
**P  .001
F I G U R E 2 Hypotheses testing results—the alternate model. Note: All values are significant and of medium or large effect size. Dashed arrows
represent non-significant effect
EMPLOYEES’ LOCUS OF CONTROL IN PANDEMIC TIME 9
the crisis in a specific swath of essential hospitality
workers residing in the 20-country MENA region. Our
objective was to learn, first off, if these workers’ sense of
personal control (viewed through locus of control) might
reveal individual dispositions that point to a more effec-
tive response to the crisis. In other words, if you believe
you have control over aspects of the crisis, do you have,
relatively, a less intense perception about job insecurity
and psychosocial responses, hence better job satisfaction
and better organisational outcomes and intentions? Our
model examined how workers’ locus of control moder-
ates the effects of COVID-19 perception onto
organisational outcomes through job insecurity, two psy-
chosocial factors (i.e., anxiety and alienation), and job
satisfaction. Our expectation going into the research was
that the COVID-19 crisis is one of the worst types of con-
ditions to face the hospitality industry and that it poses a
direct threat to employees and, indirectly, to
organisational competitive advantage. We grounded this
supposition in empirical evidence and theoretical bases
such as stress and work–life balance theory and the psy-
chological contract, as well as job insecurity theory and
research. Coming in, we understood that a similar crisis,
like the disruption of wartime conditions, is positively
associated with perceptions of job insecurity, and crisis
portends negative organisational effects (Mahmoud 
Reisel, 2015; Sora et al., 2013). Yet, very few shocks have
precedent to compare to what the world is experiencing
from the pandemic, and as scholars, we wanted to shed
light on the effects of this historical event in real time.
We targeted hospitality industry workers because they
continue to report to traditional workplaces such as res-
taurants and hotels and are less likely to work remotely
via the internet (Gössling et al., 2020). While our study
took place in MENA, an understudied setting occupies a
significant part of the Mediterranean region, which also
contains several Southern European countries and labour
force (e.g., Greece, Italy), thus rendering this study rele-
vant to European management practices. We felt it is
important to ascertain the extent to which the effects of
COVID-19 might be mitigated by employee locus of
control. That is, can employees who see themselves in
control of their situation moderate the anticipated effects
of COVID-19 on personal reactions and organisational
behaviour?
We know that hospitality workers, by virtue of their
frontline status and significant role in customer satisfac-
tion, play a major part in firm competitive advantage
and profitability (Baydoun et al., 2001). Yet, hospitality
workers, despite their critical roles, are overworked,
face irregular schedules, have limited training and
upward career opportunities (Yousaf et al., 2019).
Added to this, hospitality workers face the grim
demands of serving while exposing themselves to the
grave risk associated with contracting a deadly virus. In
examining hospitality workers, our task was to under-
stand the substantial additional burdens carried in this
labour sector to determine how they are experiencing
the psychosocial, attitudinal, and behavioural aspects of
the crisis. In doing so, we seek to provide guidance to
management about how to best adapt and avoid nega-
tive outcomes such as increased turnover intention.
Thus, this research introduces a new dimension to firms
interested in responding to COVID-19 and safeguarding
employee well-being, attitudes, and behaviours that
affect profitability.
We formulated nine hypotheses and tested a model of
the effects of COVID-19 on job insecurity, psychosocial
reactions, job satisfaction, organisational citizenship
behaviour, and turnover intention. All nine hypotheses
formulated theory-based directional predictions about
the moderating role of locus of control. Using partial
least square structural equation modelling to conduct
path and multigroup analysis, we found full support for
four hypotheses (H2, H4, H7, and H8), The four of the
other five hypotheses were partially supported in that the
main variables (i.e., independent and dependent) were
significantly related but were not moderated by locus of
control (H1, H3, H6, and H9). Only H5 was nonsignifi-
cant in that none of the indirect effects of the model was
explained by the relationship between anxiety and job
satisfaction.
T A B L E 4 Hypotheses testing—multigroup invariance analysis (internal vs. external locus of control)
Path βint. βext. t value (internal vs.
external locus of control)
COVID-19 Perceptions ! Job Insecurity 0.292** 0.307** 0.185NS
Job Insecurity ! Anxiety 0.265** 0.574** 5.705**
Job Insecurity ! Alienation 0.434** 0.459** 0.436NS
Anxiety ! Alienation 0.301** 0.421** 1.963*
Alienation ! Job Satisfaction 0.548** 0.515** 0.532NS
Job Satisfaction ! Customer Orientation 0.468** 0.211** 4.160**
Job Satisfaction ! OCB 0.703** 0.513** 4.241**
Job Satisfaction ! Turnover Intentions 0.46** 0.383** 1.215NS
Note: NS
means non-significant.
*P  0.05. **P  0.0001.
10 MAHMOUD ET AL.
What we learned is exciting and adds to the literature
on job insecurity in the hospitality industry in several
unique ways. The body of evidence on job insecurity has
shown repeatedly that employees can perceive their job
is at risk for bona fide reasons such as economic or
industry shocks, organisational restructuring, deteriora-
tion in managerial rapport with employees, changes to
resources, and other factors related to dispositions or
employee demographics (Gössling et al., 2020). The evi-
dence we analysed provides, for the first time, that a
global health crisis can be included as a predictor of job
insecurity, regardless of the degree of locus of control
(H1), and how resultant job insecurity perceptions are
related to negative employee emotional, attitudinal, and
behavioural reactions. In short, COVID-19 is detrimen-
tal for employees and, by inference, to organisational
competitive advantage. The model that we tested showed
evidence of how the effects of COVID-19 are channelled
via mediating pathways, influencing psychosocial reac-
tions, attitudes, and work behaviours. We found that
independently measured COVID-19 perceptions directly
and positively predict job insecurity, indirectly and posi-
tively predict psychosocial factors and turnover inten-
tions, and indirectly and negatively predict job
satisfaction, customer orientation, and OCB. Thus, we
add to the literature on the effect of the crisis on
employees’ job attitudes, emotions, and organisational
outcomes, meaning that employees view the health crisis
as a threat to their jobs, triggering negative emotions
and worsened job attitudes and organisational outcomes
among MENA hospitality employees. This finding fur-
ther supports the expectations of the adverse effects of
COVID-19 on hospitality workers and corroborates pre-
vious research results where COVID-19 effects were not
independently measured (e.g., Jiang  Wen, 2020;
Sonmez et al., 2020). Besides, our research is consistent
with the negative conditions of the hospitality industry
identified by previous research. They enumerate various
troubling parts of hospitality work that are common
across countries and continents, including chronic job
insecurity, temporary contract status, and lack of union
affiliation, all contributing to low levels of job satisfac-
tion. Additionally, the hospitality industry places physi-
cal strains on workers due to manual aspects of the
work, long hours, and adverse health consequences. We
further contribute to this perspective by adding the crisis
of COVID-19 to the already negative conditions of work
in the hospitality industry.
In our second and third hypotheses, we further antici-
pated and tested for locus of control moderating effects
on psychosocial reactions to job insecurity: anxiety and
alienation. What we found is that job insecurity posi-
tively and directly predicts anxiety and alienation; how-
ever, the moderating effects were only fully supported for
Hypothesis 2. Employees’ anxiety levels are high, perhaps
because they do not know what they can do to counteract
their situation and find themselves alone and lacking
purpose, which is consistent with their sense of alienation.
This result is in accord with recent studies indicating that
anxiety and alienation are often found in job insecure
employees (e.g., Shin  Hur, 2020), including those in
the hospitality industry in the MENA region
(e.g., Zaki  Al-Romeedy, 2018). As a result, prior
research on negative well-being advocates for more
refined human resources responses to hospitality workers’
needs (Kusluvan et al., 2010). Our findings echo this view
and suggest that employers do more to signal concerns
for employee well-being. We also looked at the moderat-
ing role of locus of control concerning the relationship
between anxiety and alienation (H4), and this hypothesis
was fully supported. While we did not test for timing
effects given the single sample in our data, we can suggest
that there appears to be an effect that occurs through
anxiety. This may be related to the notion that stressful
events create initial reactions such as anxiety and that
passes to alienation as employees, especially for those
with external locus of control, seem to be less likely to
find appropriate responses to the stressor.
Hypotheses 5 and 6 looked at the moderating role of
locus of control concerning the relationships between
psychosocial variables anxiety and job satisfaction (H5)
and alienation and job satisfaction (H6). Anxiety did not
prove to be associated with job satisfaction for both
externals and internals, but alienation was significantly
and negatively associated with job satisfaction, but
invariant between the externals and internals. This result
matches those observed in earlier studies concerning hos-
pitality workers (e.g., Kong et al., 2018). We learned that
alienation from the purpose of work is a strong predictor
of lower job satisfaction regardless of the type of locus of
control.
Our next three hypotheses looked at the effects of job
satisfaction on three organisational outcomes: customer
orientation (H7), organisational citizenship behaviours
(H8), and turnover intention (H9). These findings were
fully supported for Hypotheses 7 and 8 but partially
supported for Hypothesis 9. Our data did not support the
non-equivalency between the externals and internals con-
cerning the relationship between job satisfaction and
turnover intention, meaning job satisfaction lessens turn-
over intentions similarly between the externals and inter-
nals (H9). While the direct relationships have been
previously reported for customer orientation
(e.g., Choi  Joung, 2017), the moderated link between
job satisfaction and customer orientation is novel and
first of its kind. In terms of what we learned about the
hospitality industry, we anticipated that job satisfaction
would be positively related to customer orientation and
that this relationship would be stronger among the inter-
nals than the externals (H7). Prior research (Brown
et al., 2002; Reisel et al., 2005) examined the critical
importance of employees who directly serve customers.
Brown et al. (2002, p. 110) called customer orientation
“an individual-level construct that we believe is central to
EMPLOYEES’ LOCUS OF CONTROL IN PANDEMIC TIME 11
a service organisation’s ability to be market-oriented.”
Similarly, Reisel et al. (2005) examined the KAM frame-
work, which identifies both internal and external dimen-
sions that model the process of serving key customers.
The model includes customer performance and customer
effectiveness as well as internal activities of the firm that
include adaptiveness to changing competitive conditions
and esprit de corps. The findings, here again, support the
importance of job satisfaction as a predictor of customer
orientation, however, our study offers an original contri-
bution here concerning the strength of the relationship at
the presence of locus of control as a moderator that our
results suggested that the relationship is stronger amongst
the internals than the externals (H7).
In Hypotheses 8, we again see the invariance between
the external and internal concerning the importance of
job satisfaction in predicting organisational citizenship
behaviours, which are important discretionary behav-
iours that support organisational functioning. In this
case, hospitality workers who are satisfied are more likely
to engage in the performance of organisational citizen-
ship behaviours, and such probability is considerably
higher amongst the internals compared with the exter-
nals. This is particularly relevant to human resources
management practices that should avoid neglecting fac-
tors that contribute to job satisfaction.
Our ninth hypothesis addresses the employee’s plans
for turnover intention. Prior research has found a nega-
tive association between job satisfaction and intention to
quit in the service industry (e.g., Aydogdu 
Asikgil, 2011) and hospitality (e.g., Kim 
Jogaratnam, 2010). What we saw here again is that satis-
fied employees report a negative intention to quit, con-
firming our expectations among hospitality workers. Our
novel contribution here is that we found this significant
and strong relationship to be invariant between the exter-
nals and internals (H9). Moreover, we found that for
externally controlled workers, COVID-19 perception’s
cascading effects boost anxiety and alienation levels and
hit customer orientation and OCB more intensely among
the externals than the internals.
The fundamental focus of this research has been the
employee response to the pandemic. We examined indi-
vidual differences via locus of control to see if certain
hospitality workers with internal or external locus of
control might have better or worse responses and behav-
iours related to the pandemic. Our results showed that
locus of control does, in fact, significantly moderate four
of the hypothesised relationships (e.g., Xiao et al., 2018).
That is an interesting qualification within the present
research which came from our moderator analysis com-
paring effects for hospitality industry workers with inter-
nal versus external locus of control. In addition, we
learned that the effects of COVID-19 are more severe
for workers who view the world as externally controlled
as opposed to internally controlled. That is, hospitality
workers with a greater sense of self-efficacy and control
over their work situation are less prone to the negative
effects of COVID-19 perceptions on the variables in our
model. The inclusion of locus of control is grounded in
our desire to see what happens during a pandemic to
employee attitudes and behaviours. Prior research has
pointed to a moderating influence of locus of control
with respect to job insecurity perceptions, yet this is not
entirely clear in the context of COVID-19. In other
words, not all correlates of job insecurity are equal. Our
presumption is that COVID-19 represents a type of dra-
matic condition on a macro-level that is not typical of
correlates such as supervisor support which are much
more proximal and, potentially, addressable by
employees/employers. We sought to offer guidance to
employees and management about responding to
COVID-19, given that its scope is daunting and poten-
tially too debilitating to employees to muster resources
to counteract its threats. That is why the notion of inter-
nal locus of control becomes interesting. Our evidence
suggests that COVID-19 has more manageable effects
for individuals with a high internal locus of control and
represents a contribution of the research in practical and
theoretical terms.
Practical implications
The takeaways and implications for management are
noteworthy. First, our sample of hospitality industry
workers in the 20-country MENA region suggests that
employees who directly serve customers will have height-
ened job insecurity because of COVID-19. As shown in
many other empirical studies, this will negatively affect
the well-being, attitudes, and behaviours of employees.
Second, since we have provided evidence that COVID-
19 is positively related to job insecurity, we can suggest
that employers might focus on those initiatives that are
inside of their control. This is true even as COVID-19 is
threatening to employees and to organisational purpose.
Yet, the evidence produced here suggests that employees
with internal locus of control are better able to manage
the crisis in terms of their mental health resilience, over-
all attitudes, and behaviours. Third, given the promise
of this finding, we suggest that management can par-
tially address the negative effects of COVID-19 on
employees by clearly communicating compliance with
governmental health policy and providing, to the extent
possible, supervisory support to workers directly at risk
of contracting COVID-19. Moreover, as recommended
by Bangwal and Tiwari (2019), who considered environ-
mental factors that influence job satisfaction and subse-
quent turnover intention, we too suggest an important
role of management which should offer resources such
as masks, sanitiser, and other direct firm-level supports,
including supervisory support, to address employee satis-
faction given the added burdens introduced by the
spread of COVID-19.
12 MAHMOUD ET AL.
It is hard to overstate the scale of the threat of
COVID-19 to worker health and job security, so this is
the time for employers to clearly communicate their
plans for their safety and job security. Another impor-
tant finding relates to the moderating effect of locus of
control. We wanted to see if dispositions might change
the anticipated effects. Our expectation was that
employees with external locus of control would respond
poorly to the shock of the pandemic, and that is pre-
cisely what we learned. This means that employees who
begin with lower self-efficacy and confidence in their
ability to shape external events are going to react
poorly to a crisis such as COVID-19. Therefore, exter-
nal locus of control raises serious challenges to manage-
ment to ameliorate employee reactions to COVID-19
since locus of control is dispositional rather than attitu-
dinal and hard to change. We suggest that human
resources recruitment policy should consider self-
efficacy attitudes in hiring decisions as individuals with
higher internal locus of control better navigated the
threat of COVID-19 than their external locus of control
counterparts.
Limitations and future directions
There are several limitations of the current research.
First, the sample is broad, but it is constrained to only
the MENA block of 20 countries. According to
Kabasakal et al. (2012), the general societal practices of
the MENA region have been reported to score high on
power distance (i.e., the extent to which society members
expect and accept the disproportionate distribution of
power) and in-group collectivism (i.e., the extent to which
individuals express pride, cohesiveness, and loyalty in
their families or organisations). Therefore, future
researchers may seek to replicate this work in other
global regions or run cross-cultural investigations of our
model to determine how our results could differ in other
cultures. Second, we focused our research on hospitality
industry workers who are more directly impacted than
remote or virtual workers about whom we do not gener-
alise. These limitations mean that further research to
broaden the country sample and categories of job types is
warranted. Third, we followed a cross-sectional design to
test our model, so it is ill-equipped to provide evidence
for causal relationships. Therefore, future research will
be needed to collect longitudinal data to understand the
true effects and causal relationships better. However,
according to Tharenou et al. (2007), findings generated
from a cross-sectional study can still be interpretable and
valid if a robust theoretical basis is adopted; further,
cross-sectional design for data collection has received an
endorsement for scholarly investigations in wartime-like
contexts (e.g., COVID-19) and other settings of extreme
environments. This study was limited by the absence of
demographic variables in estimation, mainly because of
the model complexity, hence the need for much larger
samples to test variances resulting from demographic
traits. Therefore, future researchers might also turn their
attention to additional moderators such as personality
dimensions and demographic differences beyond locus of
control to better understand constraints and conditions
that might facilitate practical guidance to managers in
the field. An interesting area of investigation for future
research may also involve an examination of the work–
life balance of MENA workers, given the pressure to
deliver more with less to keep the organisations afloat.
Many countries in the MENA region (e.g., Lebanon,
Morocco, Israel, and Syria) and the European Union
(e.g., France, Italy, Portugal, and Spain) are parts of the
Mediterranean region, and they share many cultural
norms and values such as eating habits (Lacatusu
et al., 2019). Plus, it has been argued that the hospitality
sector’s employment precarity is prevalent worldwide
(Robinson et al., 2019), including Europe (e.g.,
Kearsey, 2020; McKay et al., 2012) with a workforce of
high heterogeneity (Bolton et al., 2018) and job insecurity
even amongst people holding permanent jobs in this
industry (McNamara et al., 2011)—offering our results
significant relevance to European management scholar-
ship and practice. Thus, given the types of workers stud-
ied in this research, we surmise that similar effects would
apply throughout regions such as the European Union,
given the heavy reliance on variable labour in the
hospitality industry and other industries (Wood, 2020).
For instance, owing to the consequences of the
COVID-19 pandemic, many European labour
migrants in hospitality have lost their jobs in the host
country and returned home, in some instances forcibly—
leading to more pressure on job markets and intense
competition in areas of return with resident workers
(ILO, 2021). The intertwining complexities between
Southern European and MENA markets imply that
future studies of this nature may benefit from a compara-
tive approach.
CONCLUSION
This research offers preliminary evidence that hospitality
employees’ locus of control moderates their emotional
and attitudinal reactions amidst the ongoing pandemic-
time crisis. It has tested a model of psychosocial, attitudi-
nal, and behavioural correlates of job insecurity among
hospitality industry workers in the MENA region. Our
evidence is among the first to examine the moderating
role of locus of control on the effects of the global pan-
demic as it is unfolding. The findings reveal how detri-
mental the effects of COVID-19 are on job insecurity
perceptions, employee psychosocial reactions, and related
organisational behaviours. This pattern of evidence is
most pronounced among workers with external locus of
control.
EMPLOYEES’ LOCUS OF CONTROL IN PANDEMIC TIME 13
CONFLICT OF INTEREST
The authors declare no conflicts of interest in this study.
ORCID
Ali B. Mahmoud https://orcid.org/0000-0002-3790-1107
Dieu Hack-Polay https://orcid.org/0000-0002-1038-
5018
REFERENCES
Abendroth, A.-K.  den Dulk, L. (2011) Support for the work-life bal-
ance in Europe: the impact of state, workplace and family support
on work-life balance satisfaction. Work, Employment and Society,
25(2), 234–256. https://doi.org/10.1177/0950017011398892
Akanji, B. (2012) Realities of work life balance in Nigeria: perceptions
of role conflict and coping beliefs. Business, Management and Edu-
cation, 10(2), 248–263. https://doi.org/10.3846/bme.2012.18
Amin, M., Aldakhil, A.M., Wu, C., Rezaei, S.  Cobanoglu, C. (2017)
The structural relationship between TQM, employee satisfaction
and hotel performance. International Journal of Contemporary
Hospitality Management, 29(4), 1256–1278. https://doi.org/10.
1108/ijchm-11-2015-0659
Araslı, H.  Baradarani, S. (2014) Role of job satisfaction in the rela-
tionship of business excellence and OCB: Iranian hospitality indus-
try. Procedia - Social and Behavioral Sciences, 109, 1406–1415.
https://doi.org/10.1016/j.sbspro.2013.12.644
Ariza-Montes, A., Arjona-Fuentes, J.M., Han, H.  Law, R. (2018)
Work environment and well-being of different occupational
groups in hospitality: job demand–control–support model. Interna-
tional Journal of Hospitality Management, 73, 1–11. https://doi.
org/10.1016/j.ijhm.2018.01.010
Aydogdu, S.  Asikgil, B. (2011) An empirical study of the relationship
among job satisfaction, organizational commitment and turnover
intention. International Review of Management and Marketing,
1(3), 43.
Ayudhya, C.N., Uracha, R.P.  Alexandra Beauregard, T. (2017) The
impact of global economic crisis and austerity on quality of work-
ing life and work-life balance: a capabilities perspective. European
Management Review, 16(4), 847–862. https://doi.org/10.1111/emre.
12128
Banai, M.  Reisel, W.D. (2007) The influence of supportive leadership
and job characteristics on work alienation: a six-country investiga-
tion. Journal of World Business, 42(4), 463–476. https://doi.org/10.
1016/j.jwb.2007.06.007
Bangwal, D.  Tiwari, P. (2019) Workplace environment, employee sat-
isfaction and intent to stay. International Journal of Contemporary
Hospitality Management, 31(1), 268–284. https://doi.org/10.1108/
ijchm-04-2017-0230
Baum, T., Mooney, S.K.K., Robinson, R.N.S.  Solnet, D. (2020)
COVID-19’s impact on the hospitality workforce – new crisis or
amplification of the norm? International Journal of Contemporary
Hospitality Management, 32(9), 2813–2829. https://doi.org/10.
1108/ijchm-04-2020-0314
Baydoun, R., Rose, D.  Emperado, T. (2001) Measuring customer ser-
vice orientation: an examination of the validity of the customer
service profile. Journal of Business and Psychology, 15(4), 605–620.
https://doi.org/10.1023/a:1007823114303
Bolton, S.C., Laaser, K., McGuire, D.  Duncan, A. (2018) A
neglected pool of labour? Frontline service work and hotel recruit-
ment in Glasgow. European Management Review, 16(3), 567–578.
https://doi.org/10.1111/emre.12172
Brown, T.J., Mowen, J.C., Todd Donavan, D.  Licata, J.W. (2002)
The customer orientation of service workers: personality trait
effects on self- and supervisor performance ratings. Journal of
Marketing Research, 39(1), 110–119. https://doi.org/10.1509/jmkr.
39.1.110.18928
Chang, C.C., Chiu, C.M.  Chen, C.A. (2010) The effect of TQM prac-
tices on employee satisfaction and loyalty in government. Total
Quality Management  Business Excellence, 21(12), 1299–1314.
https://doi.org/10.1080/14783363.2010.530796
Cheng, C., Cheung, S.F., Chio, J.H.  Chan, M.P. (2013) Cultural
meaning of perceived control: a meta-analysis of locus of control
and psychological symptoms across 18 cultural regions.
Psychological Bulletin, 139(1), 152–188. https://doi.org/10.1037/
a0028596
Cheng, G.H.L.  Chan, D.K.S. (2008) Who suffers more from job inse-
curity? A meta-analytic review. Applied Psychology, 57(2),
272–303. https://doi.org/10.1111/j.1464-0597.2007.00312.x
Choi, E.-K.  Joung, H.-W. (2017) Employee job satisfaction and
customer-oriented behavior: a study of frontline employees in the
foodservice industry. Journal of Human Resources in Hospitality 
Tourism, 16(3), 235–251. https://doi.org/10.1080/15332845.2017.
1253428
Choi, Y., Choi, M., Munhyang, O.  Kim, S. (2019) Service robots in
hotels: understanding the service quality perceptions of human-
robot interaction. Journal of Hospitality Marketing  Manage-
ment, 29(6), 613–635. https://doi.org/10.1080/19368623.2020.
1703871
Dettmers, J.  Biemelt, J. (2018) Always available – the role of
perceived advantages and legitimacy. Journal of Managerial
Psychology, 33(7/8), 497–510. https://doi.org/10.1108/jmp-02-
2018-0095
Donthu, N.  Gustafsson, A. (2020) Effects of COVID-19 on business
and research. Journal of Business Research, 117, 284–289. https://
doi.org/10.1016/j.jbusres.2020.06.008
Faragher, E., Brian, M.C.  Cooper, C.L. (2013) The relationship
between job satisfaction and health: a meta-analysis. In:
Cooper, C.L. (Ed.) From stress to wellbeing, Vol. 1. London:
Palgrave Macmillan, pp. 254–271. https://doi.org/10.1057/
9781137310651_12
Feather, N.T.  Rauter, K.A. (2004) Organizational citizenship behav-
iours in relation to job status, job insecurity, organizational com-
mitment and identification, job satisfaction and work values.
Journal of Occupational and Organizational Psychology, 77(1),
81–94. https://doi.org/10.1348/096317904322915928
Francis, L.  Barling, J. (2005) Organizational injustice and psychologi-
cal strain. Canadian Journal of Behavioural Science/Revue can-
adienne des sciences du comportement, 37(4), 250–261. https://doi.
org/10.1037/h0087260
Glusac, E. (2020) Bring in the robot cleaners: travel industry innova-
tions for the pandemic. New York Times. Available from: https://
www.nytimes.com/2020/03/28/travel/coronavirus-hotels-private-
jets-virtual-spas.html [Accessed 21st October]
Gössling, S., Scott, D.  Michael Hall, C. (2020) Pandemics, tourism
and global change: a rapid assessment of COVID-19. Journal of
Sustainable Tourism, 29(1), 1–20. https://doi.org/10.1080/
09669582.2020.1758708
Greenhalgh, L.  Rosenblatt, Z. (1984) Job insecurity: toward concep-
tual clarity. The Academy of Management Review, 9(3), 438–448.
https://doi.org/10.2307/258284
Guarnaccia, C., Scrima, F., Civilleri, A.  Salerno, L. (2016) The role
of occupational self-efficacy in mediating the effect of job insecu-
rity on work engagement, satisfaction and general health. Current
Psychology, 37(3), 488–497. https://doi.org/10.1007/s12144-016-
9525-0
Guerrero, J. (2003) Los roles no laborales y el estrés en el trabajo.
Revista colombiana de Psicología, 12, 73–84.
Hair, J.F., Hult, G.T.M., Ringle, C.  Sarstedt, M. (2017) A primer on
partial least squares structural equation modeling (PLS-SEM). Los
Angeles: Sage Publications.
Hair, J.F., Risher, J.J., Sarstedt, M.  Ringle, C.M. (2019) When to use
and how to report the results of PLS-SEM. European Business
Review, 31(1), 2–24. https://doi.org/10.1108/ebr-11-2018-0203
14 MAHMOUD ET AL.
Hamilton, M. (1959) The assessment of anxiety states by rating. The
British Journal of Medical Psychology, 32(1), 50–55. https://doi.
org/10.1111/j.2044-8341.1959.tb00467.x
Hamouche, S. (2020) COVID-19 and employees’ mental health:
stressors, moderators and agenda for organizational actions.
Emerald Open Research, 2(15), 823E. https://doi.org/10.35241/
emeraldopenres.13550.1
Hellman, C.M. (1997) Job satisfaction and intent to leave. The Journal
of Social Psychology, 137(6), 677–689. https://doi.org/10.1080/
00224549709595491
Henseler, J., Ringle, C.M.  Sarstedt, M. (2016) Testing measurement
invariance of composites using partial least squares. International
Marketing Review, 33(3), 405–431. https://doi.org/10.1108/imr-09-
2014-0304
Hobfoll, S.E. (1989) Conservation of resources: a new attempt at con-
ceptualizing stress. American Psychologist, 44(3), 513–524. https://
doi.org/10.1037/0003-066x.44.3.513
Hobson, B., Fahlen, S.  Takacs, J. (2011) Agency and capabilities to
achieve a work-life balance: a comparison of Sweden and
Hungary. Social Politics, 18(2), 168–198. https://doi.org/10.1093/
sp/jxr007
Hopfinger, H.  Scharfenort, N. (2020) Tourism geography of the
MENA region: potential, challenges and risks. Zeitschrift für
Tourismuswissenschaft, 12(2), 131–157. https://doi.org/10.1515/tw-
2020-0018
Hünefeld, L., Gerstenberg, S.  Hüffmeier, J. (2019) Job satisfaction
and mental health of temporary agency workers in Europe: a sys-
tematic review and research agenda. Work and Stress, 34(1),
82–110. https://doi.org/10.1080/02678373.2019.1567619
Ibrahim, H., Kamour, A.M., Harhara, T., Gaba, W.H.  Nair, S.C.
(2020) Covid-19 pandemic research opportunity: is the Middle
East  North Africa (MENA) missing out? Contemporary Clinical
Trials, 96, 106106. https://doi.org/10.1016/j.cct.2020.106106
ILO. (2021) Socio-economic reintegration. International Labour Orga-
nization. Available from: https://www.ilo.org/global/topics/labour-
migration/policy-areas/reintegration/lang–en/index.htm [Accessed
29th March]
Jiang, Y.  Wen, J. (2020) Effects of COVID-19 on hotel marketing
and management: a perspective article. International Journal of
Contemporary Hospitality Management, 32(8), 2563–2573. https://
doi.org/10.1108/ijchm-03-2020-0237
Judge, T.A., Scott, B.A.  Ilies, R. (2006) Hostility, job attitudes, and
workplace deviance: test of a multilevel model. The Journal of
Applied Psychology, 91(1), 126–138. https://doi.org/10.1037/0021-
9010.91.1.126
Kabasakal, H., Dastmalchian, A., Karacay, G.  Bayraktar, S. (2012)
Leadership and culture in the MENA region: an analysis of the
GLOBE project. Journal of World Business, 47(4), 519–529.
https://doi.org/10.1016/j.jwb.2012.01.005
Kearsey, J. (2020) Control, camaraderie and resistance: precarious work
and organisation in hospitality. Capital  Class, 44(4), 503–511.
https://doi.org/10.1177/0309816820906382
Keim, A.C., Landis, R.S., Pierce, C.A.  Earnest, D.R. (2014) Why do
employees worry about their jobs? A meta-analytic review of pre-
dictors of job insecurity. Journal of Occupational Health Psychol-
ogy, 19(3), 269–290. https://doi.org/10.1037/a0036743
Khoa, T., Do, C.-Y.W.  Guchait, P. (2020) Using regulatory focus to
encourage physical distancing in services: when fear helps to deal
with Mr. Deadly COVID-19. The Service Industries Journal,
41(1–2), 32–57. https://doi.org/10.1080/02642069.2020.1831477
Kim, K.  Jogaratnam, G. (2010) Effects of individual and organiza-
tional factors on job satisfaction and intent to stay in the hotel and
restaurant industry. Journal of Human Resources in Hospitality 
Tourism, 9(3), 318–339. https://doi.org/10.1080/15332845.2010.
487043
Kock, N. (2015) Common method bias in PLS-SEM: a full collinearity
assessment approach. International Journal of e-Collaboration
(ijec), 11(4), 1–10. https://doi.org/10.4018/ijec.2015100101
Kong, H., Jiang, X., Chan, W.  Zhou, X. (2018) Job satisfaction
research in the field of hospitality and tourism. International Jour-
nal of Contemporary Hospitality Management, 30(5), 2178–2194.
https://doi.org/10.1108/ijchm-09-2016-0525
Kusluvan, S., Kusluvan, Z., Ilhan, I.  Buyruk, L. (2010) The human
dimension. Cornell Hospitality Quarterly, 51(2), 171–214. https://
doi.org/10.1177/1938965510362871
Lacatusu, C.M., Grigorescu, E.D., Floria, M., Onofriescu, A. 
Mihai, B.M. (2019) The Mediterranean diet: from an
environment-driven food culture to an emerging medical
prescription. International Journal of Environmental Research
and Public Health, 16(6), 942. https://doi.org/10.3390/
ijerph16060942
Lang, D. (1985) Preconditions of three types of alienation in young
managers and professionals. Journal of Organizational Behavior,
6(3), 171–182. https://doi.org/10.1002/job.4030060302
Luciani, G. (2017) Oil rent and regional economic development in
MENA. In: Luciani, G. (Ed.) Combining economic and political
development: the experience of MENA. Boston: Brill-Nijhoff,
pp. 211–230. https://doi.org/10.1163/9789004336452_012
Mahmoud, A.B. (2021) Like a cog in a machine. In: Machado, C. 
Paulo Davim, J. (Eds.) Advances in intelligent, flexible, and lean
management and engineering. Hershey: IGI Global, pp. 1–20.
https://doi.org/10.4018/978-1-7998-5768-6.ch001
Mahmoud, A.B., Grigoriou, N., Fuxman, L., Reisel, W.D., Hack-
Polay, D.  Mohr, I. (2020) A generational study of employees’
customer orientation: a motivational viewpoint in pandemic time.
Journal of Strategic Marketing, 1–18. https://doi.org/10.1080/
0965254x.2020.1844785
Mahmoud, A.B.  Reisel, W.D. (2015) Exploring personal experience
of wartime crisis effects on job insecurity in Syria. Psihologia
Resurselor Umane Revista Asociaţiei de Psihologie Indusstrial
a şi
Organizaţional
a, 13(2), 245–256.
Mahmoud, A.B., Reisel, W.D., Fuxman, L.  Mohr, I. (2021) A moti-
vational standpoint of job insecurity effects on organizational citi-
zenship behaviors: a generational study. Scandinavian Journal of
Psychology, 62(2), 267–275. https://doi.org/10.1111/sjop.12689
McKay, S., Jefferys, S., Paraksevopoulou, A.  Keles, J. (2012) Study
on precarious work and social rights. London: Working Lives
Research Institute, London Metropolitan University, pp. 72–74.
McNamara, M., Bohle, P.  Quinlan, M. (2011) Precarious employ-
ment, working hours, work-life conflict and health in hotel work.
Applied Ergonomics, 42(2), 225–232. https://doi.org/10.1016/j.
apergo.2010.06.013
Mobley, W.H., Horner, S.O.  Hollingsworth, A.T. (1978) An evalua-
tion of precursors of hospital employee turnover. The Journal of
Applied Psychology, 63(4), 408–414. https://doi.org/10.1037/0021-
9010.63.4.408
Ncube, F.  Oni, O. (2020) Developments and changes adversely affect-
ing trade unions in the hospitality industry of Zimbabwe. African
Journal of Hospitality, Tourism and Leisure, 9(3), 199–214. https://
doi.org/10.46222/ajhtl.19770720-13
Ng, T.W.H., Sorensen, K.L.  Eby, L.T. (2006) Locus of control at
work: a meta-analysis. Journal of Organizational Behavior, 27(8),
1057–1087. https://doi.org/10.1002/job.416
OECD. (2020) Investment in the MENA region in the time of COVID-
19. OECD. Available from: http://www.oecd.org/coronavirus/
policy-responses/investment-in-the-mena-region-in-the-time-of-
covid-19-da23e4c9/ [Accessed 20th October]
Organ, D.W. (1988) Organizational citizenship behavior: the good soldier
syndrome. Lexington, MA: Lexington Books.
Parent-Lamarche, A.  Marchand, A. (2019) Well-being at work from
a multilevel perspective: what is the role of personality traits?
International Journal of Workplace Health Management, 12(5),
298–317. https://doi.org/10.1108/ijwhm-05-2019-0066
Pierce, M., Hope, H., Ford, T., Hatch, S., Hotopf, M., John, A. et al.
(2020) Mental health before and during the COVID-19 pandemic:
a longitudinal probability sample survey of the UK population.
EMPLOYEES’ LOCUS OF CONTROL IN PANDEMIC TIME 15
The Lancet Psychiatry, 7(10), 883–892. https://doi.org/10.1016/
s2215-0366(20)30308-4
Preacher, K.J.  Hayes, A.F. (2008) Asymptotic and resampling strate-
gies for assessing and comparing indirect effects in multiple media-
tor models. Behavior Research Methods, 40(3), 879–891. https://
doi.org/10.3758/brm.40.3.879
Reisel, W.D., Chia, S.-L.  Maloles III, C.M. (2005) Job insecurity
spillover to key account management: Negative effects on perfor-
mance, effectiveness, adaptiveness, and esprit de corps. Journal of
Business and Psychology, 19(4), 483–503. https://doi.org/10.1007/
s10869-005-4521-7
Ringle, C.M., Wende, S.  Becker, J.-M. (2015) “SmartPLS 3.”
SmartPLS GmbH. http://www.smartpls.com
Robinson, R.N.S., Martins, A., Solnet, D.  Baum, T. (2019) Sustain-
ing precarity: critically examining tourism and employment. Jour-
nal of Sustainable Tourism, 27(7), 1008–1025. https://doi.org/10.
1080/09669582.2018.1538230
Rotter, J.B. (1966) Generalized expectancies for internal versus external
control of reinforcement. Psychological Monographs, 80(1), 1–28.
https://doi.org/10.1037/h0092976
Rousseau, D. (1995) Psychological contracts in organizations: under-
standing written and unwritten agreements. London: Sage Publica-
tions. https://doi.org/10.4135/9781452231594
Rutynskyi, M.  Kushniruk, H. (2020) The impact of quarantine due
to COVID-19 pandemic on the tourism industry in Lviv
(Ukraine). Problems and Perspectives in Management, 18(2),
194–205. https://doi.org/10.21511/ppm.18(2).2020.17
Rydzik, A.  Kissoon, C.S. (2021) Decent work and tourism workers in
the age of intelligent automation and digital surveillance. Journal
of Sustainable Tourism, 1–18. https://doi.org/10.1080/09669582.
2021.1928680
Salvador, S.,  Cossani, P. (2020) Domestic workers in latin america
and the caribbean during the COVID-19 crisis. International
Labour Organization. Available from: https://www.ilo.org/
wcmsp5/groups/public/—americas/—ro-lima/documents/
publication/wcms_751773.pdf [Accessed 22nd October]
Semuels, A. (2020) Millions of Americans have lost jobs in the
pandemic—and robots and AI are replacing them faster than ever.
TIME. Available from: https://time.com/5876604/machines-jobs-
coronavirus/ [Accessed 4th September]
Sen, A. (1999 [1985]) Commodities and capabilities, OUP Catalogue.
New Delhi: Oxford University Press.
Shin, Y.  Hur, W.-M. (2020) When do job-insecure employees keep
performing well? The buffering roles of help and prosocial
motivation in the relationship between job insecurity, work
engagement, and job performance. Journal of Business and Psy-
chology, 36(4), 659–678. https://doi.org/10.1007/s10869-020-
09694-4
Sonmez, S., Apostolopoulos, Y., Lemke, M.K.  Hsieh, Y.J. (2020)
Understanding the effects of COVID-19 on the health and safety
of immigrant hospitality workers in the United States. Tourism
Management Perspectives, 35, 100717. https://doi.org/10.1016/j.
tmp.2020.100717
Sora, B., De Cuyper, N., Caballer, A., Peir
o, J.M.  De Witte, H.
(2013) Outcomes of job insecurity climate: the role of climate
strength. Applied Psychology, 62(3), 382–405. https://doi.org/10.
1111/j.1464-0597.2012.00485.x
Spector, P.E. (1988) Development of the work locus of control scale.
Journal of Occupational Psychology, 61(4), 335–340. https://doi.
org/10.1111/j.2044-8325.1988.tb00470.x
Statista. (2020) Loss in GDP from jobs at risk in the travel and tourism
industry due to the coronavirus (COVID-19) pandemic worldwide
in 2020, by region. Available from: https://www.statista.com/
statistics/1107493/coronavirus-travel-tourism-gdp-loss/ [Accessed
21st November]
Sverke, M., Låstad, L., Hellgren, J., Richter, A.  Näswall, K. (2019)
A meta-analysis of job insecurity and employee performance: Test-
ing temporal aspects, rating source, welfare regime, and union den-
sity as moderators. International Journal of Environmental
Research and Public Health, 16(14), 2536. https://doi.org/10.3390/
ijerph16142536
Tharenou, P., Donohue, R.  Cooper, B. (2007) Management research
methods. Cambridge: Cambridge University Press. https://doi.org/
10.1017/CBO9780511810527
Urbanaviciute, I., Lazauskaite-Zabielske, J., Elst, T.V.,
Bagdziuniene, D.  De Witte, H. (2015) Qualitative job insecurity,
job satisfaction, and organizational commitment: the mediating
role of control perceptions. Psihologia Resurselor Umane, 13(2),
217–231.
Van Dyne, L., Graham, J.W.  Dienesch, R.M. (1994) Organizational
citizenship behavior: construct redefinition, measurement, and val-
idation. Academy of Management Journal, 37(4), 765–802.
Vujiči
c, D., Joviči
c, A., Lali
c, D., Gagi
c, S.  Cvejanov, A. (2014) The
relation between job insecurity, job satisfaction and organizational
commitment among employees in the tourism sector in Novi Sad.
Economic and Industrial Democracy, 36(4), 633–652. https://doi.
org/10.1177/0143831x14527017
Wood, R.C. (2020) Perspectives on hospitality industry trade unionism
in the UK and beyond. Research in Hospitality Management,
10(2), 137–147. https://doi.org/10.1080/22243534.2020.1869456
Xiao, Z., Daoyou, W.  Liao, Z. (2018) Job insecurity and workplace
deviance: the moderating role of locus of control. Social Behavior
and Personality: An International Journal, 46(10), 1673–1686.
https://doi.org/10.2224/sbp.7160
Yousaf, S., Rasheed, M.I., Hameed, Z.  Luqman, A. (2019) Occupa-
tional stress and its outcomes: the role of work-social support in
the hospitality industry. Personnel Review, 49(3), 755–773. https://
doi.org/10.1108/pr-11-2018-0478
Zaki, H.  Al-Romeedy, B. (2018) Job security as a predictor of work
alienation among Egyptian travel agencies’ employees. Minia
Journal of Tourism and Hospitality Research, 3(1), 47–64.
How to cite this article: Mahmoud, A.B., Reisel,
W.D., Fuxman, L.  Hack-Polay, D. (2021) Locus
of control as a moderator of the effects of
COVID-19 perceptions on job insecurity,
psychosocial, organisational, and job outcomes for
MENA region hospitality employees. European
Management Review, 1–20. https://doi.org/10.1111/
emre.12494
16 MAHMOUD ET AL.
APPENDIX A: MEASURES USED IN THE CURRENT STUDY
Variable Item Assessment Source
Alienation ALIE01 Often wish I were doing something else 5-point Likert scale. 1 = strongly
disagree, 5 = strongly agree
(Banai  Reisel, 2007;
Lang, 1985)
ALIE02 Facing daily tasks is painful and boring
ALIE03 Feel estranged from my ‘real self’
ALIE04 Time is often spent aimlessly
ALIE05 Feel estranged from my ‘real self’
Job
Satisfaction
JS01 I am enthusiastic about my work 5-point Likert scale. 1 = strongly
disagree, 5 = strongly agree
(Judge et al., 2006)
JS02 Right, now I feel fairly satisfied with my
present job
JS03 Happy at work
JS04 At this moment, I am finding real
enjoyment in my work
Job Insecurity JSEC01 The possibility of losing my job occupies
my thoughts constantly.
5-point Likert scale. 1 = strongly
disagree, 5 = strongly agree
(Francis  Barling, 2005)
JSEC02 No matter how hard I work there is no
guarantee that I am going to keep
my job.
JSEC03 I am certain of losing my job.
JSEC04 The probability of being laid-off is high.
JSEC05 The possibility of losing my job occupies
my thoughts constantly.
Anxiety ANX01 I feel anxious 5-point Likert scale. 1 = strongly
disagree, 5 = strongly agree
(Hamilton, 1959)
ANX02 I feel restless
ANX03 I fear being left alone
COVID-19
Perceptions
COV01 I believe that the effect the coronavirus
pandemic has had on people is
5-point Likert scale. 1 = positive,
5 = negative
Designed for the current
study
COV02 The coronavirus pandemic is making me
feel discomfort
5-point Likert scale. 1 = strongly
disagree, 5 = strongly agree
COV03 I feel worried about what could happen
if any of my family or friends caught
the virus
Customer
Orientation
CO01 I try to help customers achieve their
goals.
5-point Likert scale. 1 = strongly
disagree, 5 = strongly agree
(Brown et al., 2002)
CO02 I achieve my own goals by satisfying
customers.
CO03 I take a problem-solving approach with
my customers.
CO04 I am able to answer a customer’s
questions correctly.
CO05 I keep the best interests of the customer
in mind.
OCB OCB01 I frequently make creative suggestions
to co-workers
5-point Likert scale. 1 = strongly
disagree, 5 = strongly agree
(Van Dyne, Graham, and
Dienesch 1994)
OCB02 I produce as much as capable of at all
times
OCB03 I keep the work area clean and neat
Turnover
Intentions
INTQ01 I am thinking about leaving this
organization in the near future
5-point Likert scale. 1 = strongly
disagree, 5 = strongly agree
(Mobley, Horner, and
Hollingsworth 1978)
(Continued)
EMPLOYEES’ LOCUS OF CONTROL IN PANDEMIC TIME 17
APPENDIX B: CONSTRUCTS’ DESCRIPTIVE STATISTICS
Variable Item Assessment Source
INTQ02 I am talking to my family or friends
about leaving this organization
within the next year
INTQ03 It would be a pleasure to spend my
whole career working at this
organization*
Locus of
Control
LOC01 Getting the job you want is mostly a
matter of luck.
5-point Likert scale. 1 = strongly
disagree, 5 = strongly agree
(Spector, 1988)
LOC02 Making money is primarily a matter of
good fortune.
LOC03 Promotions are usually a matter of good
fortune.
LOC04 In order to get a really good job, you
need to have family members or
friends in high places.
*Reverse-scored item.
Spilt based on locus of control levels
Full sample (N = 847) Internal (N = 358) External (N = 489)
Construct Mean SD Mean SD Mean SD
Alienation 3.13 1.24 2.70 1.12 3.45 1.23
Job Satisfaction 3.06 1.13 3.17 1.18 2.98 1.09
Job Insecurity 3.09 1.15 2.78 1.08 3.31 1.15
Anxiety 3.52 1.15 3.00 1.22 3.90 0.93
COVID-19 Perceptions 3.67 1.08 3.55 1.15 3.75 1.03
Customer Orientation 3.92 0.92 3.92 0.94 3.92 0.92
OCB 3.60 1.00 3.66 1.07 3.55 0.95
Customer Orientation 3.92 0.92 3.92 0.94 3.92 0.92
18 MAHMOUD ET AL.
APPENDIX C: SPECIFIC INDIRECT EFFECTS
Path B SD t
COVID-19 Perceptions ! Job
Insecurity ! Anxiety ! Alienation ! Job
Satisfaction ! OCB
0.038** 0.007 5.612
Job Insecurity ! Anxiety ! Alienation ! Job
Satisfaction ! Turnover Intentions
0.069** 0.012 5.966
Anxiety ! Alienation ! Job Satisfaction 0.272** 0.028 9.888
COVID-19 Perceptions ! Job
Insecurity ! Anxiety
0.196** 0.027 7.149
COVID-19 Perceptions ! Job
Insecurity ! Anxiety ! Alienation
0.091** 0.015 6.285
COVID-19 Perceptions ! Job
Insecurity ! Anxiety ! Alienation ! Job
Satisfaction ! Customer Orientation
0.019** 0.004 4.703
Job Insecurity ! Anxiety ! Alienation ! Job
Satisfaction
0.145** 0.017 8.418
COVID-19 Perceptions ! Job
Insecurity ! Alienation ! Job
Satisfaction ! Customer Orientation
0.035** 0.007 5.26
Alienation ! Job Satisfaction ! Customer
Orientation
0.21** 0.024 8.578
Job Insecurity ! Alienation ! Job
Satisfaction ! Turnover Intentions
0.127** 0.02 6.188
COVID-19 Perceptions ! Job
Insecurity ! Alienation ! Job
Satisfaction ! OCB
0.069** 0.011 6.017
Anxiety ! Alienation ! Job
Satisfaction ! Customer Orientation
0.098** 0.014 6.869
Anxiety ! Alienation ! Job Satisfaction ! OCB 0.192** 0.021 9.324
COVID-19 Perceptions ! Job
Insecurity ! Alienation ! Job
Satisfaction ! Turnover Intentions
0.047** 0.01 4.768
Alienation ! Job Satisfaction ! OCB 0.412** 0.03 13.526
COVID-19 Perceptions ! Job
Insecurity ! Anxiety ! Alienation ! Job
Satisfaction ! Turnover Intentions
0.025** 0.005 4.709
Job Insecurity ! Anxiety ! Alienation ! Job
Satisfaction ! OCB
0.102** 0.013 7.991
Job Insecurity ! Alienation ! Job Satisfaction 0.267** 0.027 9.841
Job Insecurity ! Anxiety ! Alienation 0.248** 0.026 9.684
COVID-19 Perceptions ! Job
Insecurity ! Anxiety ! Alienation ! Job
Satisfaction
0.053** 0.009 5.736
Job Insecurity ! Alienation ! Job
Satisfaction ! OCB
0.188** 0.02 9.144
Job Insecurity ! Anxiety ! Alienation ! Job
Satisfaction ! Customer Orientation
0.052** 0.009 6.061
Anxiety ! Alienation ! Job
Satisfaction ! Turnover Intentions
0.129** 0.021 6.241
Alienation ! Job Satisfaction ! Turnover
Intentions
0.277** 0.038 7.189
(Continued)
EMPLOYEES’ LOCUS OF CONTROL IN PANDEMIC TIME 19
Path B SD t
COVID-19 Perceptions ! Job
Insecurity ! Alienation ! Job Satisfaction
0.098** 0.016 6.156
Job Insecurity ! Alienation ! Job
Satisfaction ! Customer Orientation
0.096** 0.013 7.265
COVID-19 Perceptions ! Job
Insecurity ! Alienation
0.168** 0.024 7.018
**P  .001.
20 MAHMOUD ET AL.

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European management review 2021 - mahmoud - locus of control as a moderator of the effects of covid‐19 perceptions on job

  • 1. O R I G I N A L A R T I C L E Locus of control as a moderator of the effects of COVID-19 perceptions on job insecurity, psychosocial, organisational, and job outcomes for MENA region hospitality employees Ali B. Mahmoud1,2 | William D. Reisel1 | Leonora Fuxman1 | Dieu Hack-Polay3,4 1 St. John’s University, New York, New York, USA 2 University of Wales Trinity Saint David, London, UK 3 Crandall University, Moncton, Canada 4 University of Lincoln, Lincoln, UK Correspondence Ali B. Mahmoud, St. John’s University, New York, NY, USA. Email: elguitarrista@live.com; mahmouda@stjohns.edu We develop and test an integrated model to understand how individual differences based on internal or external locus of control influence the effects of COVID-19 perceptions on job insecurity, anxiety, alienation, job satisfaction, customer orien- tation, organisational citizenship behaviour (OCB), and turnover intention among customer service employees within hospitality organisations in the Middle East and North African (MENA) region. The investigation utilises variance-based structural equation modelling to evaluate a sample of 847 subject responses. We found that externally controlled employees are more likely to develop negative emotions resulting from pandemic-triggered job insecurity as well as poorer cus- tomer orientation and engagement in OCB due to worsened job satisfaction than those internally controlled. Wholistically, COVID-19 perceptions tend to indi- rectly hit externally controlled employees’ anxiety, customer orientation, and OCB more intensely than those with internal locus of control. K E Y W O R D S COVID-19, customer orientation, hospitality industry, job insecurity, job satisfaction, locus of control, MENA region, organisational citizenship behaviour, psychosocial factors, turnover intention INTRODUCTION The unprecedented COVID-19 pandemic has affected nearly all aspects of daily life, introducing panic and fear across the globe, subjecting healthcare systems to massive caseloads and the simultaneous need to innovate treat- ments to contain the deadly virus (Ibrahim et al., 2020). Consequently, this pandemic represents a critical chal- lenge for many business leaders, entrepreneurs, and employees across nearly all industries and nations (Donthu & Gustafsson, 2020). In addition, COVID-19 has imposed disruptions to the very nature of hospitality services, turning many hotels and lodging services into isolation centres for quarantined tourists who are vulner- able to COVID-19 infection (Rutynskyi & Kushniruk, 2020). In response to the pandemic, hospitality industry practices shifted quickly to provide physical distancing (Khoa et al., 2020). Furthermore, a growing number of businesses in this sector (e.g., hotels and airlines) have deployed robots with disinfecting ultraviolet light (Glusac, 2020), which has further accelerated machine displacement over tasks customarily handled by humans since the birth of the fourth industrial revolution (Mahmoud, 2021). In this regard, the drive to replace humans with robots is accelerating as firms struggle to avoid workplace infections of COVID-19 and to remain viable by cutting costs (Mahmoud, 2021), causing a per- manent loss of at least 42% of the jobs (Semuels, 2020). Therefore, as service robots acquire strategic importance for service delivery systems within hospitality businesses (Choi et al., 2019), this is built at the expense of human capital (Mahmoud, 2021), producing adverse effects on the psychological and well-being aspects (e.g., anxiety) as well as job attitudes (e.g., job insecurity and job satisfac- tion) and organisational outcomes (e.g., organisational citizenship behaviours, customer orientation, and turn- over intentions) (Mahmoud et al., 2021) in the hospitality sector. Our research focuses on how threats caused by COVID-19 can lead to surges in job insecurity and poor psychosocial responses among employees (Hamouche, 2020). Thus, we anticipate that, as a func- tion of COVID-19, there will be a deterioration of job attitudes and organisational behaviours in the workplace (Mahmoud et al., 2020). While this research does not DOI: 10.1111/emre.12494 European Management Review. 2021;1–20. wileyonlinelibrary.com/journal/emre © 2021 European Academy of Management 1
  • 2. address customer-related effects, we can surmise that hos- pitality workers will serve their clients less well, leading to a decrease in client satisfaction levels (Mahmoud et al., 2021). It follows that service deficits can have the ultimate effect of undermining the strategic flexibility of business competitive advantage (Sverke et al., 2019). Our contribution focuses on evaluating evidence about how the broad effects of COVID-19 perceptions are related to job insecurity, anxiety, alienation, job satisfaction, cus- tomer orientation, organisational citizenship behaviours, and turnover intentions amongst customer service employees working in hospitality organisations. The direct implications of our research apply to the MENA region. However, we also expect the implications to gen- eralise to other regional contexts given the common use of contract and foreign labour in hospitality and other industries. The pertinence of the findings for European management is significant for the reason that many of the large hotel chains in the MENA regions originate from Europe, for example, Accor, Best Western Premier, and the IHG group. Our findings furnish data that could inform the preparation and management strategy of the thousands of European executives sent every year to the MENA as expatriate managers. This makes MENA hos- pitality a sizeable employer of European labour force. The research also has relevance for European manage- ment, given the high mobility of both labour and hospi- tality tourists between the two regions. In fact, many customers of MENA hospitality firms are European tourists, particularly from European countries pertaining to the Mediterranean geographical sphere, for example, Italy, Portugal, Spain, and Greece. At the same time, much of the workforce in Southern European hospitality industry have MENA national backgrounds (Hopfinger & Scharfenort, 2020). Additionally, we evaluate the role of employee self- efficacy perceptions through locus of control (Rotter, 1966) to establish whether subjects with internal locus of control may be less likely to experience adverse effects from COVID-19 perceptions in our hypothesised model (Parent-Lamarche & Marchand, 2019). We expect employees with external locus of control to expe- rience more negative effects related to COVID-19 per- ception. Thus, this study evaluates whether an employee’s locus of control can influence the hypo- thesised relationships and seeks to offer guidance for management. The MENA region has been under economic strain and regional geopolitical conflicts and tensions for many years. Compounding these economic challenges is the ongoing COVID-19 crisis (OECD, 2020). No prior crisis in modern history has caused as much destruction and damage to the hospitality sector as COVID-19 has (Sonmez et al., 2020). This investigation’s geographic location is significant, given that many MENA economies, besides the oil indus- try, largely rely on the tourism industry, particularly visitors from Europe (Luciani, 2017; Hopfinger & Scharfenort, 2020). Moreover, the sector has been deeply affected by the continuing COVID-19 crisis (Baum et al., 2020). Nevertheless, little research has been under- taken to understand these issues and how the response of workers may be moderated by employee locus of control. This research fills the knowledge gap in this area. Fur- thermore, the intent is to offer guidance so local man- agers and European expatriate executives can devise policies to reduce the negative impact of COVID-19 on hospitality workers. The rest of this article is organised into three main sections. The first section examines the literature that addresses the precarity of jobs and psychosocial issues affecting employees in the hospitality sector. This first section also provides some background to the COVID-19 pandemic and forwards the hypotheses. The second section presents the methods, including participant recruitment, data collection, and analysis methods. The third section discusses the study findings in relation to the extant literature. The article finally draws conclusions that summarise the key findings, offers practical implica- tions, discusses the research limitations, and suggests directions for future investigations. LITERATURE REVIEW AND THEORETICAL FRAMEWORK Locus of control The enormity of the threat posed by COVID-19 to employees prompted us to contemplate if there might be any mitigating factors based on individual differences, and we sought to explore if certain individuals could better navigate the shifting terrain and personal response to the pandemic. To account for this and to see if specific dispositional orientations might moderate the model’s results, we focused on the idea of perceived control over external events, given that COVID-19 rep- resents a macro factor that will undoubtedly trigger thinking about how to counteract its potential adverse effects. Thus, we selected locus of control as a potential explanatory disposition to understand how employees might react when they view the world as either con- trolled by external or internal factors. Rotter (1966) ter- med this ‘locus of control’, which holds that employees will differ on the extent to which they view rewards, punishments, or other events in their lives as caused by their own actions or by factors beyond their control. Individuals with an orientation to internal locus of con- trol are likely to view themselves as more able to man- age external situations based on their ability, experience, or self-efficacy. Conversely, we might pre- dict that the model effects would be more pronounced if the individual’s orientation was external locus of control (Keim et al., 2014). A meta-analysis of locus of control 2 MAHMOUD ET AL.
  • 3. at work found that locus of control positively predicts job satisfaction and work performance (Ng et al., 2006). Job insecurity research beginning with suppositions from Greenhalgh and Rosenblatt (1984) has also highlighted the moderating effect of internal locus of control on job insecurity. Moreover, meta-analytic studies such as that con- ducted by Cheng et al. (2013) have shown that locus of control moderates psychosocial reactions. Additionally, hospitality workers occupy positions that give them little autonomy over their work activities due to the routinised nature of the work and often excessively controlling supervision. Our expectation, therefore, is that locus of control internals will have more muted psychosocial reac- tions than externals. We take this dispositional perspec- tive into the formulation of each of our model’s subsequent hypotheses. The hospitality industry tests positive: COVID- 19 perceptions and job insecurity Hospitality sector workers have precarious employment not only because they are frontline and at risk of exposure, but they also face obsolescence due to employers quickly introducing labour saving tools and robotics (Rydzik & Kissoon, 2021). In the case of workers in the sector, compensation, working condi- tions, and employer support have not traditionally been generous. Such support has been even more scarce for flexible workers (Abendroth & den Dulk, 2011). A similar lack of organisational interest in work–life balance seems to exist generally in emerg- ing economies, including the MENA region, where hospitality workers are commonly exposed to pro- longed or irregular hours of work with little or no social protection (Salvador & Cossani, 2020). The con- sequences of such flexibility for working conditions are harmful as they engender widespread ‘mental over- charge’ and lead to stress and associated pathologies (Guerrero, 2003). In emerging economies, more gener- ally, workers seem to accept working conditions imposed upon them by employers as inevitable (Akanji, 2012), particularly with the lack of institu- tional and social safety nets to reduce job insecurity and exploitation. Even in the West, including Europe (see Ayudhya et al., 2017; Hobson et al., 2011), the capabilities approach (Sen, 1999 [1985]) offers a theo- retical basis for the adverse ramifications that global crisis (e.g., pandemics) can have on work–life balance (Ayudhya et al., 2017). Because of the COVID-19 pandemic, the global hospitality industry lost an estimated 100 million jobs (Statista, 2020). Therefore, COVID-19 has exacerbated job insecurity perceptions in the hospitality sector by introducing more anxiety as redundancies have become a feature of the pandemic economy (Pierce et al., 2020). We, therefore, formulate the following hypothesis: H1 Locus of control moderates the positive relationship between COVID-19 perceptions and job insecurity, such that this relationship is stronger for external than for internal locus of control. Job insecurity and psychosocial factors There is extensive literature examining the relationship between job insecurity and associated psychosocial corre- lates such as anxiety and alienation. See, for example, meta-analysis and research (Cheng & Chan, 2008; Mahmoud et al., 2020). Numerous theoretical explana- tions suggest why job insecurity (concern about losing one’s job) causes negative psychosocial responses. Most prominent is the conservation of resources stress theory (Hobfoll, 1989) and psychological contract breach (Rousseau, 1995). The conservation of resources stress model (Hobfoll, 1989) suggests that the perception of having a job at risk (job insecurity) is debilitating emo- tionally as it strains the employee’s personal ability to counteract the threat of job loss largely because there are so many unknowns outside of one’s personal control, thus negatively affecting one’s psychosocial well-being. A second theoretical underpinning of the relationship is the informal psychological contract between employees and employers. This is an exchange-based explanation of attachment to work in which employee performance is rewarded with implicit guarantees of job security and material and non-material rewards (Rousseau, 1995). A threat to one’s job represents a substantial breach of the psychological contract and is detrimental to an employee’s livelihood, connection to meaningful work, social aspects of work, and indirect problems outside of work with family and social relations. The hospitality industry, we anticipate, is an appro- priate context to study these relationships. Employees in this industry perform critical roles that determine cus- tomer satisfaction; hence they contribute to firm competi- tive advantage and profitability. However, hospitality workers occupy one of the most unstable positions in the labour market owing to their lack of contractual or union safeguards, and they must perform demanding jobs with risks to physical and mental well-being due to low job security, variable, and long hours (Kearsey, 2020). That instability has been postulated as an immersive reality in the hospitality industry (Ncube & Oni, 2020). Moreover, the industry has been characterised as a high strain sector not only due to the precariousness of roles but also because workers have limited autonomy to adapt, hence causing further negative implications for well-being (Ariza-Montes et al., 2018). The inherently stressful nature of hospitality work has now the added burden of EMPLOYEES’ LOCUS OF CONTROL IN PANDEMIC TIME 3
  • 4. reporting to the front lines, where exposure to COVID- 19 is an additional source of stress and health risk. Empirical evidence offered by Faragher et al. (2013) meta-analysis indicates that work facets such as job satis- faction are strongly affected by anxiety and other mental health issues. The associations are considerably larger than effects among any other aspects of mental well- being. For theoretical and empirical reasons, job insecu- rity presents a facet of work–life that is particularly threatening to employees’ mental health, and our expec- tation is that job insecurity will be strongly associated with adverse psychosocial outcomes (Sora et al., 2013). Expectancy theory, moreover, suggests that workers will compare previous work conditions with current develop- ments (e.g., Feather & Rauter, 2004; Guarnaccia et al., 2016; Hünefeld et al., 2019; Urbanaviciute et al., 2015; Vujiči c et al., 2014). Hence, we hypo- thesise that: H2 Locus of control moderates the positive relationship between job insecurity and anxi- ety such that this relationship is stronger for externals than for internals. H3 Locus of control moderates the positive relationship between job insecurity and alien- ation such that this relationship is stronger for externals than for internals. H4 Locus of control moderates the positive relationship between anxiety and alienation such that this relationship is stronger for externals than for internals. Psychosocial factors and job satisfaction Imagining what it is like to have a job that makes an indi- vidual anxious and alienated is to fathom the extraordi- nary challenge of performing well while not knowing if one has a job in the future. From an attitudinal stand- point, the literature has shown how an individual’s emo- tional states negatively influence job satisfaction, one of the most important employee attachment attitudes to their employers (Cheng Chan, 2008; Mahmoud et al., 2020). In a meta-analysis of 500 studies associating health and job satisfaction, Faragher et al. (2013) con- cluded there is a solid relationship between job satisfac- tion and both mental and physical health. Furthermore, Greenhalgh and Rosenblatt’s seminal theory article on job insecurity (Greenhalgh Rosenblatt, 1984) noted that job insecurity has long been recognised in the man- agement literature as a negative predictor of employee satisfaction. In this paper, we regard job satisfaction as a global attitude towards the job and define it as the fulfil- ment or satisfying emotional state that results from the positive appraisal of job experiences on the part of the employee (Chang et al., 2010). Hospitality industry employees, as noted earlier, face strains and demands that are endemic and difficult to avoid. The work is characterised by limited job security, physical risk, and limited control or autonomy while offering almost no significant work–life balance benefits (Kusluvan et al., 2010). Based on theoretical reasons and empirical evidence (e.g., Ayudhya et al., 2017; Cheng Chan, 2008; Kusluvan et al., 2010; Mahmoud et al., 2020), we anticipate that psychosocial factors will negatively predict job satisfaction. For both stress-based reasons and those of psychological contract breach, employees with negative psychosocial reactions to job insecurity are likely to have lower levels of job satisfac- tion, hence: H5 Locus of control moderates the negative relationship between anxiety and job satisfac- tion such that this relationship is stronger for externals than for internals. H6 Locus of control moderates the negative relationship between alienation and job satis- faction such that this relationship is stronger for externals than for internals. Job satisfaction and customer orientation The hospitality industry is dependent on employees who understand and serve customers properly. Given the crisis circumstances prompted by the COVID-19 pandemic, we have reasoned and cited evidence that the negative impact on global economies and the labour markets have been profound. In this context, the prospect of greater individual job insecurity is likely to negatively affect sev- eral work dimensions, including employee job satisfac- tion. Moreover, the erosion of employee attachment to their firm should further predict negative performance effects such as reduced customer orientation. Earlier research that examined the effects of job insecurity on customer orientation (Reisel et al., 2005) found negative relationships for key account management behaviours: Job insecure employees performed worse on customer performance, effectiveness with customers, adaptability to changing competitive conditions, and corporate esprit de corps. In addition, Mahmoud et al. (2020) found a strong positive association between overall motivation and customer orientation amongst customer service workers. Moreover, Brown et al.’s (2002) study emphasised the importance of direct service providers being oriented to deliver high-quality service. Finally, in a hospitality set- ting, Choi and Joung (2017) found that job satisfaction exerts a positive and direct impact on customer orienta- tion. With this evidence and our previously hypothesised 4 MAHMOUD ET AL.
  • 5. expectations, we anticipate that job satisfaction will be positively related to customer orientation; thus, we hypo- thesise the following: H7 Locus of control moderates the positive relationship between job satisfaction and cus- tomer orientation such that this relationship is stronger for internals than for externals. Job satisfaction and organisational citizenship behaviour Building on prior empirical research that has found posi- tive effects of job satisfaction on organisational citizen- ship behaviour, we expect a similar pattern in the hospitality industry context in MENA countries (Mahmoud et al., 2020). Specifically, organisational citi- zenship behaviours are critical employee behaviours that contribute to the overall firm performance in the service industry because they represent extra roles, not techni- cally required job tasks. Though organisational citizen- ship behaviours are not directly rewarded via a compensation system, they are recognised to contribute to the organisation’s effective functioning (Organ, 1988). Moreover, Social Exchange Theory (Organ, 1988) sug- gests that job satisfaction contributes to organisational effectiveness by enhancing employees’ engagement in organisational citizenship behaviours. Further, previous research has evidenced the positive effects of job satisfac- tion on organisational citizenship behaviours amongst hospitality employees (e.g., Araslı Baradarani, 2014); hence, we propose: H8 Locus of control moderates the positive relationship between job satisfaction and organisational citizenship behaviour such that this relationship is stronger for internals than for externals. Job satisfaction and turnover intentions Mindful of the hospitality industry as the context of the present investigation, the notion that a broad global pan- demic has introduced crisis levels of disorder into global economic, labour, political, and health systems, we can easily imagine that this constellation of impacts is greatly affecting attachment attitudes such as job satisfaction. Not only have we seen this play out in terms of raw job losses around the world, but undoubtedly this presages the substantial increase of job insecurity across larger classes of employees. Supported by both well-established theories (e.g., social exchange) as well as many empirical investigations (e.g., Hellman, 1997), job satisfaction among employees in the hospitality industry is a signifi- cant indicator of intention to remain with the firm (Amin et al., 2017) and we expect that the validity of this rela- tionship will persist and be more empirically evidenced amongst hospitality workers during the current pan- demic. Hence our hypothesis is: H9 Locus of control moderates the negative relationship between job satisfaction and turnover intentions such that this relationship is stronger for internals than for externals. Figure 1 depicts the theoretical model, which illustrates hypotheses H1 through H9. MATERIALS AND METHODS The current study investigated the hospitality sector’s customer service workforce in the MENA, a 20-country region covering the Middle East and North Africa. A surveyor team took on the data collection process, which commenced in April and ended early in October 2020. The survey participants were recruited through LinkedIn (a professional social network). LinkedIn search filters were set to locate the study subjects. Criteria utilised included the country name, job role, and hospitality sub- sectors, for example, restaurants, food and beverages, air- lines, leisure, travel and tourism, and events services. LinkedIn is a professional networking platform where job seekers can share their skills, qualifications, work experience, and any other professional-related informa- tion with other premium services like training short courses. It enables employers or recruiters to post job ads and search for prospective candidates. We chose LinkedIn to recruit our sample because it is considered the world’s largest professional network, with 722+ million members in more than 200 countries and terri- tories worldwide. Our search for customer service employees working in the MENA region’s hospitality sectors returned about 203,000 results. Recent research in business psychology has used such a sampling procedure (e.g., Dettmers Biemelt, 2018). Having filtered the sea- rch results, the surveyors selected one case for every two counts. All the participants were made familiar with the aim and methods of the investigation. They were advised that they could raise issues about the study, ask ques- tions, or leave the survey at any point. A part of the ques- tionnaire was a consent to take part in the survey. Considering that the survey was carried out online, the signatures of the participants were not acquired. Responses to the survey were anonymous, and all partici- pants were instructed that their responses would be confi- dential. The 10-min questionnaire was made available in both Arabic and English. The surveyors approached the participants either through direct messaging if the partici- pant was a first-level user (i.e., an already connection of the surveyor) or via a note message with a connection EMPLOYEES’ LOCUS OF CONTROL IN PANDEMIC TIME 5
  • 6. request for a second- (i.e., those having shared connec- tion with the surveyor) and third-level users (i.e., those not sharing any connections with the surveyor). Over the period of data collection, nearly four thousand partici- pants were contacted. Participation in the survey was vol- untary, anonymous, and without formal compensation. However, those invited to participate in this study were offered the chance to enter a draw to win a USD 50 Netflix gift card. Furthermore, those interested would be emailed a copy of the article alongside a layman sum- mary upon publication. However, for consideration, a participant would voluntarily provide their email address before submitting their response. As a result of that pro- cedure, our study returned 847 responses (response rate = 21%) used in the analyses. No responses with missing data were found. COVID-19 perceptions were assessed using a three- item scale that was designed for this investigation. We employed previously validated scales described in the work of Francis and Barling (2005) to measure job insecurity, Hamilton (1959) to measure anxiety, Lang (1985) and Banai and Reisel (2007) to measure alienation, Judge et al. (2006) to measure job satisfac- tion, Brown et al. (2002) to measure customer orienta- tion, Van Dyne et al. (1994) to measure organisational citizenship behaviours, Mobley et al. (1978) to measure turnover intentions, and finally Spector (1988) to mea- sure work locus of control. A 5-point Likert scale was adopted to score the responses to those measures. For the purposes of assessing its moderating role in the path model, locus of control was converted into a dummy variable where people with external locus of control were coded as (0) and those with internal locus of control as (1). Appendix A shows the items of the used measures. A variety of indicators were adopted to assess the validity and reliability of measures. We examined the the- oretical model utilising a variance-based or partial least square structural equation modelling approach (PLS- SEM) via SmartPLS 3 (Ringle et al., 2015). PLS-SEM has obtained more academic favourability when testing predictive models (Mahmoud et al., 2021). Also, most data are expected to violate the criterion of multivariate normality (Mahmoud et al., 2021); therefore, the PLS- SEM approach has been recognised as a feasible option for empirical investigations where data are sensitive to non-normality matters (Hair et al., 2017). We conducted a path evaluation followed by multigroup analysis (MGA), building on standardised betas (β: for direct effects), unstandardised betas (B: for indirect effects) and the matching t values by using bootstrapping, Q2 for pre- dictive relevance, and Cohen’s f2 to ascertain effect sizes where f2 ≥ 0.02, f2 ≥ 0.15, and f2 ≥ 0.35 epitomise small, medium, and large effect sizes, respectively. Besides, the standard root mean square residual (SRMR) was used to evaluate the model fit to the data. F I G U R E 1 Theoretical model 6 MAHMOUD ET AL.
  • 7. RESULTS Measures’ validity and reliability We computed the heterotrait–monotrait ratio of correla- tions (HTMT) and found values of less than 0.9, imply- ing a satisfactory level of discriminant validity for all measures (Hair et al., 2019). All the constructs had average variance extracted (AVEs) higher than 0.5, composite reliability scores (CRs) between 0.765 and 0.915, satisfying the convergent validity and reliability criteria for all measures (Hair et al., 2019). Variance inflation factor values (VIFs) were less than 5, offering evidence that collinearity is not a crucial issue (Hair et al., 2019). Common method bias Before moving on to the path and multigroup analyses, we ran common-method bias (CMB) tests, which are required when using perceptual, self-report measures from a single survey. The inner variance inflation factors (VIFs) values were all less than 3.3. Consequently, we concluded that there were no multicollinearity or CMB issues found (Kock, 2015). Sample description Using SPSS version 26, most of our sample (see Table 1) were male (57%), millennial (46%), educated to a univer- sity degree (40%), single (54%), and with external locus of control (58%). Appendix B shows the descriptive sta- tistics of the variables under investigation clustered into locus of control groups. It suggests that those with an external locus of control reported higher levels of COVID- 19 perceptions, job insecurity, alienation, anxi- ety and turnover intentions and lower scores on job satis- faction, customer orientation, and OCB. Path analysis and multigroup analysis Given the reflective nature of the latent variables in our model (Mahmoud et al., 2021), we performed Consistent-PLS Algorithm, followed by Consistent PLS Bootstrapping run at 5000 subsamples (Preacher Hayes, 2008) in order to analyse the hypothesised path model. Moreover, to assess the path model invariance across the two groups of locus of control (i.e., internal vs. external), a multigroup analysis (MGA) is intended to be run. However, before that, we need to ensure that measurement invariance is established as a prerequisite to MGA (Henseler et al., 2016). According to Henseler et al. (2016), running group comparisons through PLS-SEM can be ‘misleading’ unless the invariance of their measures is confirmed. As suggested by Henseler et al. (2016), this prerequisite can be accomplished by using the “Measurement Invariance of the Composite Models” (MICOM) tech- nique. Therefore, before running any multigroup ana- lyses (in our case: with no data pooling), both configural invariance and compositional invariance need to be verified (Hair et al., 2019; Henseler et al., 2016). Since we employ a PLS-SEM approach, the measurement configural invariance is, by default, achieved (Hair et al., 2019). Following that, we ran a permutation test. All the constructs have their “Permu- tation P-values” greater than 0.05; thus, we accept the null hypothesis meaning that the original correlations of these constructs are non-substantially different from 1. This result offers supporting evidence for com- positional invariance, implying a feasible multigroup analysis (Hair et al., 2019). Testing the direct effects (see Table 2), COVID-19 perceptions are found to positively predict job insecurity (β = 0.364, P 0.001, f2 0.15, P 0.001) that in turn positively predicts anxiety (β = 0.533, P 0.001, f2 0.35, P 0.001) and alienation (β = 0.456, P 0.001, f2 0.35, P 0.001). Anxiety positively pre- dicts alienation (β = 0.465, P 0.001, f2 0.35, T A B L E 1 Sample demographic profile Trait Value Frequency Percent Sex Male 479 56.6 Female 368 43.4 Education High School or Lower 130 15.3 College or some years in HE 221 26.1 Bachelor’s 335 39.6 PG graduate or student 161 19 Marital Status Single 456 53.8 Has partner 391 46.2 Generational Cohort Gen Z 185 21.8 Gen Y 392 46.3 Gen X 270 31.9 EMPLOYEES’ LOCUS OF CONTROL IN PANDEMIC TIME 7
  • 8. P 0.001). Alienation is found to be the only psychoso- cial factor that significantly exerts a real worsening direct negative effect on job satisfaction (β = 0.582, P 0.001, f2 0.35, P 0.001). Besides, job satisfaction is found to positively predict customer orientation (β = 0.354, P 0.001, f2 0.15, P 0.001) and organisational citizenship behaviour (β = 0.704, P 0.001, f2 0.35, P 0.001) and lower the chances for the development of turnover intentions (β = 0.474, P 0.001, f2 0.15, P 0.001). All the indirect effects/mediations are found signifi- cant. Interestingly, COVID-19 perceptions affect all the variables in the model, either directly as in the case of job insecurity or indirectly for the remaining ones. Thus, it can be concluded that COVID-19 perceptions indirectly affect the levels of anxiety (B = 0.196, SD = 0.027, P 0.001), alienation (B = 0.26, SD = 0.032, P 0.001) and turnover intentions (B = 0.072, SD = 0.014, P 0.001). Further, COVID-19 perceptions contribute to the deterioration of job satisfaction (B = 0.152, SD = 0.022, P 0.001), customer orientation (B = 0.055, SD = 0.01, P 0.001) and organisational citizenship behaviour (B = 0.107, SD = 0.016, P 0.001). Table 3 shows all the total indirect effects in the model whilst Appendix C demonstrates the specific indirect effects where the full list of mediators for an indi- rect effect is detailed. Moving onto MGA, t values associated with the mul- tiple comparisons and reported in the parametric tests are analysed. Overall, all paths remain significant for both groups of locus of control (at a significance level of 0.001). However, we discover that the paths job insecurity == anxiety, anxiety == alienation, job sat- isfaction == customer orientation, and job sati- sfaction == organisational citizenship behaviour are significantly non-equivalent between the two groups. In other words, looking at Figure 2 and Table 4, the results reveal that customer service employees with external locus of control are more vulnerable to anxiety as consequence of COVID-19-triggered job insecurity (H2: βint. = 0.265 βext. = 0.574, text. vs. int. = 5.705, P 0.001) and hence the resulting alienation from this anx- iety (H4: βint. = 0.301 βext. = 0.421, text. vs. int. = 1.970, P 0.05) than those with internal locus of control. Besides, employees with external locus of control tend to develop more intense declines in customer orientation (H7: βint. = 0.468 βext. = 0.211, text. vs. int. = 4.160, P 0.001) and organisational citizenship behaviour (H8: βint. = 0.703 βext. = 0.513, text. vs. int. = 4.241, P 0.001) due to plummets in job satisfaction during pandemic time. Therefore, we judge H2, H4, H7, and H8 as supported and H1, H3, H5, H6, and H9 as unsupported. In terms of COVID-19 perception indirect effects invari- ance, our results show that for the participants with external locus of control in this study, COVID-19 perceptions tend to indirectly hit anxiety (Bint. = 0.123 Bext. = 0.227, text. vs. int. = 2.108, P 0.05), customer orientation (Bint. = j0.032j Bext. = j0.078j, text. vs. int. = 2.375, P 0.05) and OCB (Bint. = j0.242j Bext. = j0.362j, text. vs. int. = 2.716, P 0.01) more intensely than those with internal locus of control. Finally, with SRMR equivalent to 0.041 0.08, we decide that our hypothetical model is an excellent fit for our data. Q2 values of all the predictors are larger than 0, which suggests ample predictive relevance. Addition- ally, R2 values for job insecurity (0.134), anxiety (0.284), alienation (0.653), job satisfaction (0.342), customer ori- entation (0.130), organisational citizenship behaviours (0.497), and turnover intentions (0.224) were all higher than zero, suggesting that our model possesses substantial predictive accuracy. DISCUSSION The COVID-19 pandemic is the most serious global health crisis in more than 100 years. The purpose of the present research was to examine effects associated with T A B L E 2 Hypotheses testing—direct effects Path β t f2 Decision COVID-19 Perceptions ! Job Insecurity 0.364** 9.435** ≥0.15** Supported Job Insecurity ! Anxiety 0.533** 17.106** ≥0.35** Supported Job Insecurity ! Alienation 0.456** 11.386** ≥0.35** Supported Anxiety ! Alienation 0.465** 11.874** ≥0.35** Supported Anxiety ! Job Satisfaction 0.087 1.38NS 0.02NS Unsupported Alienation ! Job Satisfaction 0.582** 16.306** ≥0.35** Supported Job Satisfaction ! Customer Orientation 0.354** 9.964** ≥0.15** Supported Job Satisfaction ! OCB 0.704** 26.178** ≥0.35** Supported Job Satisfaction ! Turnover Intentions 0.474** 12.024** ≥0.15** Supported Note: NS means non-significant. **P .001 8 MAHMOUD ET AL.
  • 9. T A B L E 3 Hypotheses testing—indirect effects testing Path B SD t COVID-19 Perceptions ! Anxiety 0.196** 0.027 7.149 COVID-19 Perceptions ! Alienation 0.26** 0.032 8.127 COVID-19 Perceptions ! Customer Orientation 0.055** 0.01 5.577 COVID-19 Perceptions ! Job Satisfaction 0.152** 0.022 6.932 COVID-19 Perceptions ! OCB 0.107** 0.016 6.732 COVID-19 Perceptions ! Turnover Intentions 0.072** 0.014 5.184 Job Insecurity ! Alienation 0.248** 0.026 9.684 Job Insecurity ! Customer Orientation 0.148** 0.018 8.226 Job Insecurity ! Job Satisfaction 0.412** 0.028 14.482 Job Insecurity ! OCB 0.29** 0.023 12.545 Job Insecurity ! Turnover Intentions 0.195** 0.027 7.111 Anxiety ! Customer Orientation 0.098** 0.014 6.869 Anxiety ! Job Satisfaction 0.272** 0.028 9.888 Anxiety ! OCB 0.192** 0.021 9.324 Anxiety ! Turnover Intentions 0.129** 0.021 6.241 Alienation ! Customer Orientation 0.21** 0.024 8.578 Alienation ! OCB 0.412** 0.03 13.526 Alienation ! Turnover Intentions 0.277** 0.038 7.189 **P .001 F I G U R E 2 Hypotheses testing results—the alternate model. Note: All values are significant and of medium or large effect size. Dashed arrows represent non-significant effect EMPLOYEES’ LOCUS OF CONTROL IN PANDEMIC TIME 9
  • 10. the crisis in a specific swath of essential hospitality workers residing in the 20-country MENA region. Our objective was to learn, first off, if these workers’ sense of personal control (viewed through locus of control) might reveal individual dispositions that point to a more effec- tive response to the crisis. In other words, if you believe you have control over aspects of the crisis, do you have, relatively, a less intense perception about job insecurity and psychosocial responses, hence better job satisfaction and better organisational outcomes and intentions? Our model examined how workers’ locus of control moder- ates the effects of COVID-19 perception onto organisational outcomes through job insecurity, two psy- chosocial factors (i.e., anxiety and alienation), and job satisfaction. Our expectation going into the research was that the COVID-19 crisis is one of the worst types of con- ditions to face the hospitality industry and that it poses a direct threat to employees and, indirectly, to organisational competitive advantage. We grounded this supposition in empirical evidence and theoretical bases such as stress and work–life balance theory and the psy- chological contract, as well as job insecurity theory and research. Coming in, we understood that a similar crisis, like the disruption of wartime conditions, is positively associated with perceptions of job insecurity, and crisis portends negative organisational effects (Mahmoud Reisel, 2015; Sora et al., 2013). Yet, very few shocks have precedent to compare to what the world is experiencing from the pandemic, and as scholars, we wanted to shed light on the effects of this historical event in real time. We targeted hospitality industry workers because they continue to report to traditional workplaces such as res- taurants and hotels and are less likely to work remotely via the internet (Gössling et al., 2020). While our study took place in MENA, an understudied setting occupies a significant part of the Mediterranean region, which also contains several Southern European countries and labour force (e.g., Greece, Italy), thus rendering this study rele- vant to European management practices. We felt it is important to ascertain the extent to which the effects of COVID-19 might be mitigated by employee locus of control. That is, can employees who see themselves in control of their situation moderate the anticipated effects of COVID-19 on personal reactions and organisational behaviour? We know that hospitality workers, by virtue of their frontline status and significant role in customer satisfac- tion, play a major part in firm competitive advantage and profitability (Baydoun et al., 2001). Yet, hospitality workers, despite their critical roles, are overworked, face irregular schedules, have limited training and upward career opportunities (Yousaf et al., 2019). Added to this, hospitality workers face the grim demands of serving while exposing themselves to the grave risk associated with contracting a deadly virus. In examining hospitality workers, our task was to under- stand the substantial additional burdens carried in this labour sector to determine how they are experiencing the psychosocial, attitudinal, and behavioural aspects of the crisis. In doing so, we seek to provide guidance to management about how to best adapt and avoid nega- tive outcomes such as increased turnover intention. Thus, this research introduces a new dimension to firms interested in responding to COVID-19 and safeguarding employee well-being, attitudes, and behaviours that affect profitability. We formulated nine hypotheses and tested a model of the effects of COVID-19 on job insecurity, psychosocial reactions, job satisfaction, organisational citizenship behaviour, and turnover intention. All nine hypotheses formulated theory-based directional predictions about the moderating role of locus of control. Using partial least square structural equation modelling to conduct path and multigroup analysis, we found full support for four hypotheses (H2, H4, H7, and H8), The four of the other five hypotheses were partially supported in that the main variables (i.e., independent and dependent) were significantly related but were not moderated by locus of control (H1, H3, H6, and H9). Only H5 was nonsignifi- cant in that none of the indirect effects of the model was explained by the relationship between anxiety and job satisfaction. T A B L E 4 Hypotheses testing—multigroup invariance analysis (internal vs. external locus of control) Path βint. βext. t value (internal vs. external locus of control) COVID-19 Perceptions ! Job Insecurity 0.292** 0.307** 0.185NS Job Insecurity ! Anxiety 0.265** 0.574** 5.705** Job Insecurity ! Alienation 0.434** 0.459** 0.436NS Anxiety ! Alienation 0.301** 0.421** 1.963* Alienation ! Job Satisfaction 0.548** 0.515** 0.532NS Job Satisfaction ! Customer Orientation 0.468** 0.211** 4.160** Job Satisfaction ! OCB 0.703** 0.513** 4.241** Job Satisfaction ! Turnover Intentions 0.46** 0.383** 1.215NS Note: NS means non-significant. *P 0.05. **P 0.0001. 10 MAHMOUD ET AL.
  • 11. What we learned is exciting and adds to the literature on job insecurity in the hospitality industry in several unique ways. The body of evidence on job insecurity has shown repeatedly that employees can perceive their job is at risk for bona fide reasons such as economic or industry shocks, organisational restructuring, deteriora- tion in managerial rapport with employees, changes to resources, and other factors related to dispositions or employee demographics (Gössling et al., 2020). The evi- dence we analysed provides, for the first time, that a global health crisis can be included as a predictor of job insecurity, regardless of the degree of locus of control (H1), and how resultant job insecurity perceptions are related to negative employee emotional, attitudinal, and behavioural reactions. In short, COVID-19 is detrimen- tal for employees and, by inference, to organisational competitive advantage. The model that we tested showed evidence of how the effects of COVID-19 are channelled via mediating pathways, influencing psychosocial reac- tions, attitudes, and work behaviours. We found that independently measured COVID-19 perceptions directly and positively predict job insecurity, indirectly and posi- tively predict psychosocial factors and turnover inten- tions, and indirectly and negatively predict job satisfaction, customer orientation, and OCB. Thus, we add to the literature on the effect of the crisis on employees’ job attitudes, emotions, and organisational outcomes, meaning that employees view the health crisis as a threat to their jobs, triggering negative emotions and worsened job attitudes and organisational outcomes among MENA hospitality employees. This finding fur- ther supports the expectations of the adverse effects of COVID-19 on hospitality workers and corroborates pre- vious research results where COVID-19 effects were not independently measured (e.g., Jiang Wen, 2020; Sonmez et al., 2020). Besides, our research is consistent with the negative conditions of the hospitality industry identified by previous research. They enumerate various troubling parts of hospitality work that are common across countries and continents, including chronic job insecurity, temporary contract status, and lack of union affiliation, all contributing to low levels of job satisfac- tion. Additionally, the hospitality industry places physi- cal strains on workers due to manual aspects of the work, long hours, and adverse health consequences. We further contribute to this perspective by adding the crisis of COVID-19 to the already negative conditions of work in the hospitality industry. In our second and third hypotheses, we further antici- pated and tested for locus of control moderating effects on psychosocial reactions to job insecurity: anxiety and alienation. What we found is that job insecurity posi- tively and directly predicts anxiety and alienation; how- ever, the moderating effects were only fully supported for Hypothesis 2. Employees’ anxiety levels are high, perhaps because they do not know what they can do to counteract their situation and find themselves alone and lacking purpose, which is consistent with their sense of alienation. This result is in accord with recent studies indicating that anxiety and alienation are often found in job insecure employees (e.g., Shin Hur, 2020), including those in the hospitality industry in the MENA region (e.g., Zaki Al-Romeedy, 2018). As a result, prior research on negative well-being advocates for more refined human resources responses to hospitality workers’ needs (Kusluvan et al., 2010). Our findings echo this view and suggest that employers do more to signal concerns for employee well-being. We also looked at the moderat- ing role of locus of control concerning the relationship between anxiety and alienation (H4), and this hypothesis was fully supported. While we did not test for timing effects given the single sample in our data, we can suggest that there appears to be an effect that occurs through anxiety. This may be related to the notion that stressful events create initial reactions such as anxiety and that passes to alienation as employees, especially for those with external locus of control, seem to be less likely to find appropriate responses to the stressor. Hypotheses 5 and 6 looked at the moderating role of locus of control concerning the relationships between psychosocial variables anxiety and job satisfaction (H5) and alienation and job satisfaction (H6). Anxiety did not prove to be associated with job satisfaction for both externals and internals, but alienation was significantly and negatively associated with job satisfaction, but invariant between the externals and internals. This result matches those observed in earlier studies concerning hos- pitality workers (e.g., Kong et al., 2018). We learned that alienation from the purpose of work is a strong predictor of lower job satisfaction regardless of the type of locus of control. Our next three hypotheses looked at the effects of job satisfaction on three organisational outcomes: customer orientation (H7), organisational citizenship behaviours (H8), and turnover intention (H9). These findings were fully supported for Hypotheses 7 and 8 but partially supported for Hypothesis 9. Our data did not support the non-equivalency between the externals and internals con- cerning the relationship between job satisfaction and turnover intention, meaning job satisfaction lessens turn- over intentions similarly between the externals and inter- nals (H9). While the direct relationships have been previously reported for customer orientation (e.g., Choi Joung, 2017), the moderated link between job satisfaction and customer orientation is novel and first of its kind. In terms of what we learned about the hospitality industry, we anticipated that job satisfaction would be positively related to customer orientation and that this relationship would be stronger among the inter- nals than the externals (H7). Prior research (Brown et al., 2002; Reisel et al., 2005) examined the critical importance of employees who directly serve customers. Brown et al. (2002, p. 110) called customer orientation “an individual-level construct that we believe is central to EMPLOYEES’ LOCUS OF CONTROL IN PANDEMIC TIME 11
  • 12. a service organisation’s ability to be market-oriented.” Similarly, Reisel et al. (2005) examined the KAM frame- work, which identifies both internal and external dimen- sions that model the process of serving key customers. The model includes customer performance and customer effectiveness as well as internal activities of the firm that include adaptiveness to changing competitive conditions and esprit de corps. The findings, here again, support the importance of job satisfaction as a predictor of customer orientation, however, our study offers an original contri- bution here concerning the strength of the relationship at the presence of locus of control as a moderator that our results suggested that the relationship is stronger amongst the internals than the externals (H7). In Hypotheses 8, we again see the invariance between the external and internal concerning the importance of job satisfaction in predicting organisational citizenship behaviours, which are important discretionary behav- iours that support organisational functioning. In this case, hospitality workers who are satisfied are more likely to engage in the performance of organisational citizen- ship behaviours, and such probability is considerably higher amongst the internals compared with the exter- nals. This is particularly relevant to human resources management practices that should avoid neglecting fac- tors that contribute to job satisfaction. Our ninth hypothesis addresses the employee’s plans for turnover intention. Prior research has found a nega- tive association between job satisfaction and intention to quit in the service industry (e.g., Aydogdu Asikgil, 2011) and hospitality (e.g., Kim Jogaratnam, 2010). What we saw here again is that satis- fied employees report a negative intention to quit, con- firming our expectations among hospitality workers. Our novel contribution here is that we found this significant and strong relationship to be invariant between the exter- nals and internals (H9). Moreover, we found that for externally controlled workers, COVID-19 perception’s cascading effects boost anxiety and alienation levels and hit customer orientation and OCB more intensely among the externals than the internals. The fundamental focus of this research has been the employee response to the pandemic. We examined indi- vidual differences via locus of control to see if certain hospitality workers with internal or external locus of control might have better or worse responses and behav- iours related to the pandemic. Our results showed that locus of control does, in fact, significantly moderate four of the hypothesised relationships (e.g., Xiao et al., 2018). That is an interesting qualification within the present research which came from our moderator analysis com- paring effects for hospitality industry workers with inter- nal versus external locus of control. In addition, we learned that the effects of COVID-19 are more severe for workers who view the world as externally controlled as opposed to internally controlled. That is, hospitality workers with a greater sense of self-efficacy and control over their work situation are less prone to the negative effects of COVID-19 perceptions on the variables in our model. The inclusion of locus of control is grounded in our desire to see what happens during a pandemic to employee attitudes and behaviours. Prior research has pointed to a moderating influence of locus of control with respect to job insecurity perceptions, yet this is not entirely clear in the context of COVID-19. In other words, not all correlates of job insecurity are equal. Our presumption is that COVID-19 represents a type of dra- matic condition on a macro-level that is not typical of correlates such as supervisor support which are much more proximal and, potentially, addressable by employees/employers. We sought to offer guidance to employees and management about responding to COVID-19, given that its scope is daunting and poten- tially too debilitating to employees to muster resources to counteract its threats. That is why the notion of inter- nal locus of control becomes interesting. Our evidence suggests that COVID-19 has more manageable effects for individuals with a high internal locus of control and represents a contribution of the research in practical and theoretical terms. Practical implications The takeaways and implications for management are noteworthy. First, our sample of hospitality industry workers in the 20-country MENA region suggests that employees who directly serve customers will have height- ened job insecurity because of COVID-19. As shown in many other empirical studies, this will negatively affect the well-being, attitudes, and behaviours of employees. Second, since we have provided evidence that COVID- 19 is positively related to job insecurity, we can suggest that employers might focus on those initiatives that are inside of their control. This is true even as COVID-19 is threatening to employees and to organisational purpose. Yet, the evidence produced here suggests that employees with internal locus of control are better able to manage the crisis in terms of their mental health resilience, over- all attitudes, and behaviours. Third, given the promise of this finding, we suggest that management can par- tially address the negative effects of COVID-19 on employees by clearly communicating compliance with governmental health policy and providing, to the extent possible, supervisory support to workers directly at risk of contracting COVID-19. Moreover, as recommended by Bangwal and Tiwari (2019), who considered environ- mental factors that influence job satisfaction and subse- quent turnover intention, we too suggest an important role of management which should offer resources such as masks, sanitiser, and other direct firm-level supports, including supervisory support, to address employee satis- faction given the added burdens introduced by the spread of COVID-19. 12 MAHMOUD ET AL.
  • 13. It is hard to overstate the scale of the threat of COVID-19 to worker health and job security, so this is the time for employers to clearly communicate their plans for their safety and job security. Another impor- tant finding relates to the moderating effect of locus of control. We wanted to see if dispositions might change the anticipated effects. Our expectation was that employees with external locus of control would respond poorly to the shock of the pandemic, and that is pre- cisely what we learned. This means that employees who begin with lower self-efficacy and confidence in their ability to shape external events are going to react poorly to a crisis such as COVID-19. Therefore, exter- nal locus of control raises serious challenges to manage- ment to ameliorate employee reactions to COVID-19 since locus of control is dispositional rather than attitu- dinal and hard to change. We suggest that human resources recruitment policy should consider self- efficacy attitudes in hiring decisions as individuals with higher internal locus of control better navigated the threat of COVID-19 than their external locus of control counterparts. Limitations and future directions There are several limitations of the current research. First, the sample is broad, but it is constrained to only the MENA block of 20 countries. According to Kabasakal et al. (2012), the general societal practices of the MENA region have been reported to score high on power distance (i.e., the extent to which society members expect and accept the disproportionate distribution of power) and in-group collectivism (i.e., the extent to which individuals express pride, cohesiveness, and loyalty in their families or organisations). Therefore, future researchers may seek to replicate this work in other global regions or run cross-cultural investigations of our model to determine how our results could differ in other cultures. Second, we focused our research on hospitality industry workers who are more directly impacted than remote or virtual workers about whom we do not gener- alise. These limitations mean that further research to broaden the country sample and categories of job types is warranted. Third, we followed a cross-sectional design to test our model, so it is ill-equipped to provide evidence for causal relationships. Therefore, future research will be needed to collect longitudinal data to understand the true effects and causal relationships better. However, according to Tharenou et al. (2007), findings generated from a cross-sectional study can still be interpretable and valid if a robust theoretical basis is adopted; further, cross-sectional design for data collection has received an endorsement for scholarly investigations in wartime-like contexts (e.g., COVID-19) and other settings of extreme environments. This study was limited by the absence of demographic variables in estimation, mainly because of the model complexity, hence the need for much larger samples to test variances resulting from demographic traits. Therefore, future researchers might also turn their attention to additional moderators such as personality dimensions and demographic differences beyond locus of control to better understand constraints and conditions that might facilitate practical guidance to managers in the field. An interesting area of investigation for future research may also involve an examination of the work– life balance of MENA workers, given the pressure to deliver more with less to keep the organisations afloat. Many countries in the MENA region (e.g., Lebanon, Morocco, Israel, and Syria) and the European Union (e.g., France, Italy, Portugal, and Spain) are parts of the Mediterranean region, and they share many cultural norms and values such as eating habits (Lacatusu et al., 2019). Plus, it has been argued that the hospitality sector’s employment precarity is prevalent worldwide (Robinson et al., 2019), including Europe (e.g., Kearsey, 2020; McKay et al., 2012) with a workforce of high heterogeneity (Bolton et al., 2018) and job insecurity even amongst people holding permanent jobs in this industry (McNamara et al., 2011)—offering our results significant relevance to European management scholar- ship and practice. Thus, given the types of workers stud- ied in this research, we surmise that similar effects would apply throughout regions such as the European Union, given the heavy reliance on variable labour in the hospitality industry and other industries (Wood, 2020). For instance, owing to the consequences of the COVID-19 pandemic, many European labour migrants in hospitality have lost their jobs in the host country and returned home, in some instances forcibly— leading to more pressure on job markets and intense competition in areas of return with resident workers (ILO, 2021). The intertwining complexities between Southern European and MENA markets imply that future studies of this nature may benefit from a compara- tive approach. CONCLUSION This research offers preliminary evidence that hospitality employees’ locus of control moderates their emotional and attitudinal reactions amidst the ongoing pandemic- time crisis. It has tested a model of psychosocial, attitudi- nal, and behavioural correlates of job insecurity among hospitality industry workers in the MENA region. Our evidence is among the first to examine the moderating role of locus of control on the effects of the global pan- demic as it is unfolding. The findings reveal how detri- mental the effects of COVID-19 are on job insecurity perceptions, employee psychosocial reactions, and related organisational behaviours. This pattern of evidence is most pronounced among workers with external locus of control. EMPLOYEES’ LOCUS OF CONTROL IN PANDEMIC TIME 13
  • 14. CONFLICT OF INTEREST The authors declare no conflicts of interest in this study. ORCID Ali B. Mahmoud https://orcid.org/0000-0002-3790-1107 Dieu Hack-Polay https://orcid.org/0000-0002-1038- 5018 REFERENCES Abendroth, A.-K. den Dulk, L. (2011) Support for the work-life bal- ance in Europe: the impact of state, workplace and family support on work-life balance satisfaction. Work, Employment and Society, 25(2), 234–256. https://doi.org/10.1177/0950017011398892 Akanji, B. (2012) Realities of work life balance in Nigeria: perceptions of role conflict and coping beliefs. Business, Management and Edu- cation, 10(2), 248–263. https://doi.org/10.3846/bme.2012.18 Amin, M., Aldakhil, A.M., Wu, C., Rezaei, S. Cobanoglu, C. (2017) The structural relationship between TQM, employee satisfaction and hotel performance. International Journal of Contemporary Hospitality Management, 29(4), 1256–1278. https://doi.org/10. 1108/ijchm-11-2015-0659 Araslı, H. Baradarani, S. (2014) Role of job satisfaction in the rela- tionship of business excellence and OCB: Iranian hospitality indus- try. Procedia - Social and Behavioral Sciences, 109, 1406–1415. https://doi.org/10.1016/j.sbspro.2013.12.644 Ariza-Montes, A., Arjona-Fuentes, J.M., Han, H. Law, R. (2018) Work environment and well-being of different occupational groups in hospitality: job demand–control–support model. Interna- tional Journal of Hospitality Management, 73, 1–11. https://doi. org/10.1016/j.ijhm.2018.01.010 Aydogdu, S. Asikgil, B. (2011) An empirical study of the relationship among job satisfaction, organizational commitment and turnover intention. International Review of Management and Marketing, 1(3), 43. Ayudhya, C.N., Uracha, R.P. Alexandra Beauregard, T. (2017) The impact of global economic crisis and austerity on quality of work- ing life and work-life balance: a capabilities perspective. European Management Review, 16(4), 847–862. https://doi.org/10.1111/emre. 12128 Banai, M. Reisel, W.D. (2007) The influence of supportive leadership and job characteristics on work alienation: a six-country investiga- tion. Journal of World Business, 42(4), 463–476. https://doi.org/10. 1016/j.jwb.2007.06.007 Bangwal, D. Tiwari, P. (2019) Workplace environment, employee sat- isfaction and intent to stay. International Journal of Contemporary Hospitality Management, 31(1), 268–284. https://doi.org/10.1108/ ijchm-04-2017-0230 Baum, T., Mooney, S.K.K., Robinson, R.N.S. Solnet, D. (2020) COVID-19’s impact on the hospitality workforce – new crisis or amplification of the norm? International Journal of Contemporary Hospitality Management, 32(9), 2813–2829. https://doi.org/10. 1108/ijchm-04-2020-0314 Baydoun, R., Rose, D. Emperado, T. (2001) Measuring customer ser- vice orientation: an examination of the validity of the customer service profile. Journal of Business and Psychology, 15(4), 605–620. https://doi.org/10.1023/a:1007823114303 Bolton, S.C., Laaser, K., McGuire, D. Duncan, A. (2018) A neglected pool of labour? Frontline service work and hotel recruit- ment in Glasgow. European Management Review, 16(3), 567–578. https://doi.org/10.1111/emre.12172 Brown, T.J., Mowen, J.C., Todd Donavan, D. Licata, J.W. (2002) The customer orientation of service workers: personality trait effects on self- and supervisor performance ratings. Journal of Marketing Research, 39(1), 110–119. https://doi.org/10.1509/jmkr. 39.1.110.18928 Chang, C.C., Chiu, C.M. Chen, C.A. (2010) The effect of TQM prac- tices on employee satisfaction and loyalty in government. Total Quality Management Business Excellence, 21(12), 1299–1314. https://doi.org/10.1080/14783363.2010.530796 Cheng, C., Cheung, S.F., Chio, J.H. Chan, M.P. (2013) Cultural meaning of perceived control: a meta-analysis of locus of control and psychological symptoms across 18 cultural regions. Psychological Bulletin, 139(1), 152–188. https://doi.org/10.1037/ a0028596 Cheng, G.H.L. Chan, D.K.S. (2008) Who suffers more from job inse- curity? A meta-analytic review. Applied Psychology, 57(2), 272–303. https://doi.org/10.1111/j.1464-0597.2007.00312.x Choi, E.-K. Joung, H.-W. (2017) Employee job satisfaction and customer-oriented behavior: a study of frontline employees in the foodservice industry. Journal of Human Resources in Hospitality Tourism, 16(3), 235–251. https://doi.org/10.1080/15332845.2017. 1253428 Choi, Y., Choi, M., Munhyang, O. Kim, S. (2019) Service robots in hotels: understanding the service quality perceptions of human- robot interaction. Journal of Hospitality Marketing Manage- ment, 29(6), 613–635. https://doi.org/10.1080/19368623.2020. 1703871 Dettmers, J. Biemelt, J. (2018) Always available – the role of perceived advantages and legitimacy. Journal of Managerial Psychology, 33(7/8), 497–510. https://doi.org/10.1108/jmp-02- 2018-0095 Donthu, N. Gustafsson, A. (2020) Effects of COVID-19 on business and research. Journal of Business Research, 117, 284–289. https:// doi.org/10.1016/j.jbusres.2020.06.008 Faragher, E., Brian, M.C. Cooper, C.L. (2013) The relationship between job satisfaction and health: a meta-analysis. In: Cooper, C.L. (Ed.) From stress to wellbeing, Vol. 1. London: Palgrave Macmillan, pp. 254–271. https://doi.org/10.1057/ 9781137310651_12 Feather, N.T. Rauter, K.A. (2004) Organizational citizenship behav- iours in relation to job status, job insecurity, organizational com- mitment and identification, job satisfaction and work values. Journal of Occupational and Organizational Psychology, 77(1), 81–94. https://doi.org/10.1348/096317904322915928 Francis, L. Barling, J. (2005) Organizational injustice and psychologi- cal strain. Canadian Journal of Behavioural Science/Revue can- adienne des sciences du comportement, 37(4), 250–261. https://doi. org/10.1037/h0087260 Glusac, E. (2020) Bring in the robot cleaners: travel industry innova- tions for the pandemic. New York Times. Available from: https:// www.nytimes.com/2020/03/28/travel/coronavirus-hotels-private- jets-virtual-spas.html [Accessed 21st October] Gössling, S., Scott, D. Michael Hall, C. (2020) Pandemics, tourism and global change: a rapid assessment of COVID-19. Journal of Sustainable Tourism, 29(1), 1–20. https://doi.org/10.1080/ 09669582.2020.1758708 Greenhalgh, L. Rosenblatt, Z. (1984) Job insecurity: toward concep- tual clarity. The Academy of Management Review, 9(3), 438–448. https://doi.org/10.2307/258284 Guarnaccia, C., Scrima, F., Civilleri, A. Salerno, L. (2016) The role of occupational self-efficacy in mediating the effect of job insecu- rity on work engagement, satisfaction and general health. Current Psychology, 37(3), 488–497. https://doi.org/10.1007/s12144-016- 9525-0 Guerrero, J. (2003) Los roles no laborales y el estrés en el trabajo. Revista colombiana de Psicología, 12, 73–84. Hair, J.F., Hult, G.T.M., Ringle, C. Sarstedt, M. (2017) A primer on partial least squares structural equation modeling (PLS-SEM). Los Angeles: Sage Publications. Hair, J.F., Risher, J.J., Sarstedt, M. Ringle, C.M. (2019) When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/ebr-11-2018-0203 14 MAHMOUD ET AL.
  • 15. Hamilton, M. (1959) The assessment of anxiety states by rating. The British Journal of Medical Psychology, 32(1), 50–55. https://doi. org/10.1111/j.2044-8341.1959.tb00467.x Hamouche, S. (2020) COVID-19 and employees’ mental health: stressors, moderators and agenda for organizational actions. Emerald Open Research, 2(15), 823E. https://doi.org/10.35241/ emeraldopenres.13550.1 Hellman, C.M. (1997) Job satisfaction and intent to leave. The Journal of Social Psychology, 137(6), 677–689. https://doi.org/10.1080/ 00224549709595491 Henseler, J., Ringle, C.M. Sarstedt, M. (2016) Testing measurement invariance of composites using partial least squares. International Marketing Review, 33(3), 405–431. https://doi.org/10.1108/imr-09- 2014-0304 Hobfoll, S.E. (1989) Conservation of resources: a new attempt at con- ceptualizing stress. American Psychologist, 44(3), 513–524. https:// doi.org/10.1037/0003-066x.44.3.513 Hobson, B., Fahlen, S. Takacs, J. (2011) Agency and capabilities to achieve a work-life balance: a comparison of Sweden and Hungary. Social Politics, 18(2), 168–198. https://doi.org/10.1093/ sp/jxr007 Hopfinger, H. Scharfenort, N. (2020) Tourism geography of the MENA region: potential, challenges and risks. Zeitschrift für Tourismuswissenschaft, 12(2), 131–157. https://doi.org/10.1515/tw- 2020-0018 Hünefeld, L., Gerstenberg, S. Hüffmeier, J. (2019) Job satisfaction and mental health of temporary agency workers in Europe: a sys- tematic review and research agenda. Work and Stress, 34(1), 82–110. https://doi.org/10.1080/02678373.2019.1567619 Ibrahim, H., Kamour, A.M., Harhara, T., Gaba, W.H. Nair, S.C. (2020) Covid-19 pandemic research opportunity: is the Middle East North Africa (MENA) missing out? Contemporary Clinical Trials, 96, 106106. https://doi.org/10.1016/j.cct.2020.106106 ILO. (2021) Socio-economic reintegration. International Labour Orga- nization. Available from: https://www.ilo.org/global/topics/labour- migration/policy-areas/reintegration/lang–en/index.htm [Accessed 29th March] Jiang, Y. Wen, J. (2020) Effects of COVID-19 on hotel marketing and management: a perspective article. International Journal of Contemporary Hospitality Management, 32(8), 2563–2573. https:// doi.org/10.1108/ijchm-03-2020-0237 Judge, T.A., Scott, B.A. Ilies, R. (2006) Hostility, job attitudes, and workplace deviance: test of a multilevel model. The Journal of Applied Psychology, 91(1), 126–138. https://doi.org/10.1037/0021- 9010.91.1.126 Kabasakal, H., Dastmalchian, A., Karacay, G. Bayraktar, S. (2012) Leadership and culture in the MENA region: an analysis of the GLOBE project. Journal of World Business, 47(4), 519–529. https://doi.org/10.1016/j.jwb.2012.01.005 Kearsey, J. (2020) Control, camaraderie and resistance: precarious work and organisation in hospitality. Capital Class, 44(4), 503–511. https://doi.org/10.1177/0309816820906382 Keim, A.C., Landis, R.S., Pierce, C.A. Earnest, D.R. (2014) Why do employees worry about their jobs? A meta-analytic review of pre- dictors of job insecurity. Journal of Occupational Health Psychol- ogy, 19(3), 269–290. https://doi.org/10.1037/a0036743 Khoa, T., Do, C.-Y.W. Guchait, P. (2020) Using regulatory focus to encourage physical distancing in services: when fear helps to deal with Mr. Deadly COVID-19. The Service Industries Journal, 41(1–2), 32–57. https://doi.org/10.1080/02642069.2020.1831477 Kim, K. Jogaratnam, G. (2010) Effects of individual and organiza- tional factors on job satisfaction and intent to stay in the hotel and restaurant industry. Journal of Human Resources in Hospitality Tourism, 9(3), 318–339. https://doi.org/10.1080/15332845.2010. 487043 Kock, N. (2015) Common method bias in PLS-SEM: a full collinearity assessment approach. International Journal of e-Collaboration (ijec), 11(4), 1–10. https://doi.org/10.4018/ijec.2015100101 Kong, H., Jiang, X., Chan, W. Zhou, X. (2018) Job satisfaction research in the field of hospitality and tourism. International Jour- nal of Contemporary Hospitality Management, 30(5), 2178–2194. https://doi.org/10.1108/ijchm-09-2016-0525 Kusluvan, S., Kusluvan, Z., Ilhan, I. Buyruk, L. (2010) The human dimension. Cornell Hospitality Quarterly, 51(2), 171–214. https:// doi.org/10.1177/1938965510362871 Lacatusu, C.M., Grigorescu, E.D., Floria, M., Onofriescu, A. Mihai, B.M. (2019) The Mediterranean diet: from an environment-driven food culture to an emerging medical prescription. International Journal of Environmental Research and Public Health, 16(6), 942. https://doi.org/10.3390/ ijerph16060942 Lang, D. (1985) Preconditions of three types of alienation in young managers and professionals. Journal of Organizational Behavior, 6(3), 171–182. https://doi.org/10.1002/job.4030060302 Luciani, G. (2017) Oil rent and regional economic development in MENA. In: Luciani, G. (Ed.) Combining economic and political development: the experience of MENA. Boston: Brill-Nijhoff, pp. 211–230. https://doi.org/10.1163/9789004336452_012 Mahmoud, A.B. (2021) Like a cog in a machine. In: Machado, C. Paulo Davim, J. (Eds.) Advances in intelligent, flexible, and lean management and engineering. Hershey: IGI Global, pp. 1–20. https://doi.org/10.4018/978-1-7998-5768-6.ch001 Mahmoud, A.B., Grigoriou, N., Fuxman, L., Reisel, W.D., Hack- Polay, D. Mohr, I. (2020) A generational study of employees’ customer orientation: a motivational viewpoint in pandemic time. Journal of Strategic Marketing, 1–18. https://doi.org/10.1080/ 0965254x.2020.1844785 Mahmoud, A.B. Reisel, W.D. (2015) Exploring personal experience of wartime crisis effects on job insecurity in Syria. Psihologia Resurselor Umane Revista Asociaţiei de Psihologie Indusstrial a şi Organizaţional a, 13(2), 245–256. Mahmoud, A.B., Reisel, W.D., Fuxman, L. Mohr, I. (2021) A moti- vational standpoint of job insecurity effects on organizational citi- zenship behaviors: a generational study. Scandinavian Journal of Psychology, 62(2), 267–275. https://doi.org/10.1111/sjop.12689 McKay, S., Jefferys, S., Paraksevopoulou, A. Keles, J. (2012) Study on precarious work and social rights. London: Working Lives Research Institute, London Metropolitan University, pp. 72–74. McNamara, M., Bohle, P. Quinlan, M. (2011) Precarious employ- ment, working hours, work-life conflict and health in hotel work. Applied Ergonomics, 42(2), 225–232. https://doi.org/10.1016/j. apergo.2010.06.013 Mobley, W.H., Horner, S.O. Hollingsworth, A.T. (1978) An evalua- tion of precursors of hospital employee turnover. The Journal of Applied Psychology, 63(4), 408–414. https://doi.org/10.1037/0021- 9010.63.4.408 Ncube, F. Oni, O. (2020) Developments and changes adversely affect- ing trade unions in the hospitality industry of Zimbabwe. African Journal of Hospitality, Tourism and Leisure, 9(3), 199–214. https:// doi.org/10.46222/ajhtl.19770720-13 Ng, T.W.H., Sorensen, K.L. Eby, L.T. (2006) Locus of control at work: a meta-analysis. Journal of Organizational Behavior, 27(8), 1057–1087. https://doi.org/10.1002/job.416 OECD. (2020) Investment in the MENA region in the time of COVID- 19. OECD. Available from: http://www.oecd.org/coronavirus/ policy-responses/investment-in-the-mena-region-in-the-time-of- covid-19-da23e4c9/ [Accessed 20th October] Organ, D.W. (1988) Organizational citizenship behavior: the good soldier syndrome. Lexington, MA: Lexington Books. Parent-Lamarche, A. Marchand, A. (2019) Well-being at work from a multilevel perspective: what is the role of personality traits? International Journal of Workplace Health Management, 12(5), 298–317. https://doi.org/10.1108/ijwhm-05-2019-0066 Pierce, M., Hope, H., Ford, T., Hatch, S., Hotopf, M., John, A. et al. (2020) Mental health before and during the COVID-19 pandemic: a longitudinal probability sample survey of the UK population. EMPLOYEES’ LOCUS OF CONTROL IN PANDEMIC TIME 15
  • 16. The Lancet Psychiatry, 7(10), 883–892. https://doi.org/10.1016/ s2215-0366(20)30308-4 Preacher, K.J. Hayes, A.F. (2008) Asymptotic and resampling strate- gies for assessing and comparing indirect effects in multiple media- tor models. Behavior Research Methods, 40(3), 879–891. https:// doi.org/10.3758/brm.40.3.879 Reisel, W.D., Chia, S.-L. Maloles III, C.M. (2005) Job insecurity spillover to key account management: Negative effects on perfor- mance, effectiveness, adaptiveness, and esprit de corps. Journal of Business and Psychology, 19(4), 483–503. https://doi.org/10.1007/ s10869-005-4521-7 Ringle, C.M., Wende, S. Becker, J.-M. (2015) “SmartPLS 3.” SmartPLS GmbH. http://www.smartpls.com Robinson, R.N.S., Martins, A., Solnet, D. Baum, T. (2019) Sustain- ing precarity: critically examining tourism and employment. Jour- nal of Sustainable Tourism, 27(7), 1008–1025. https://doi.org/10. 1080/09669582.2018.1538230 Rotter, J.B. (1966) Generalized expectancies for internal versus external control of reinforcement. Psychological Monographs, 80(1), 1–28. https://doi.org/10.1037/h0092976 Rousseau, D. (1995) Psychological contracts in organizations: under- standing written and unwritten agreements. London: Sage Publica- tions. https://doi.org/10.4135/9781452231594 Rutynskyi, M. Kushniruk, H. (2020) The impact of quarantine due to COVID-19 pandemic on the tourism industry in Lviv (Ukraine). Problems and Perspectives in Management, 18(2), 194–205. https://doi.org/10.21511/ppm.18(2).2020.17 Rydzik, A. Kissoon, C.S. (2021) Decent work and tourism workers in the age of intelligent automation and digital surveillance. Journal of Sustainable Tourism, 1–18. https://doi.org/10.1080/09669582. 2021.1928680 Salvador, S., Cossani, P. (2020) Domestic workers in latin america and the caribbean during the COVID-19 crisis. International Labour Organization. Available from: https://www.ilo.org/ wcmsp5/groups/public/—americas/—ro-lima/documents/ publication/wcms_751773.pdf [Accessed 22nd October] Semuels, A. (2020) Millions of Americans have lost jobs in the pandemic—and robots and AI are replacing them faster than ever. TIME. Available from: https://time.com/5876604/machines-jobs- coronavirus/ [Accessed 4th September] Sen, A. (1999 [1985]) Commodities and capabilities, OUP Catalogue. New Delhi: Oxford University Press. Shin, Y. Hur, W.-M. (2020) When do job-insecure employees keep performing well? The buffering roles of help and prosocial motivation in the relationship between job insecurity, work engagement, and job performance. Journal of Business and Psy- chology, 36(4), 659–678. https://doi.org/10.1007/s10869-020- 09694-4 Sonmez, S., Apostolopoulos, Y., Lemke, M.K. Hsieh, Y.J. (2020) Understanding the effects of COVID-19 on the health and safety of immigrant hospitality workers in the United States. Tourism Management Perspectives, 35, 100717. https://doi.org/10.1016/j. tmp.2020.100717 Sora, B., De Cuyper, N., Caballer, A., Peir o, J.M. De Witte, H. (2013) Outcomes of job insecurity climate: the role of climate strength. Applied Psychology, 62(3), 382–405. https://doi.org/10. 1111/j.1464-0597.2012.00485.x Spector, P.E. (1988) Development of the work locus of control scale. Journal of Occupational Psychology, 61(4), 335–340. https://doi. org/10.1111/j.2044-8325.1988.tb00470.x Statista. (2020) Loss in GDP from jobs at risk in the travel and tourism industry due to the coronavirus (COVID-19) pandemic worldwide in 2020, by region. Available from: https://www.statista.com/ statistics/1107493/coronavirus-travel-tourism-gdp-loss/ [Accessed 21st November] Sverke, M., Låstad, L., Hellgren, J., Richter, A. Näswall, K. (2019) A meta-analysis of job insecurity and employee performance: Test- ing temporal aspects, rating source, welfare regime, and union den- sity as moderators. International Journal of Environmental Research and Public Health, 16(14), 2536. https://doi.org/10.3390/ ijerph16142536 Tharenou, P., Donohue, R. Cooper, B. (2007) Management research methods. Cambridge: Cambridge University Press. https://doi.org/ 10.1017/CBO9780511810527 Urbanaviciute, I., Lazauskaite-Zabielske, J., Elst, T.V., Bagdziuniene, D. De Witte, H. (2015) Qualitative job insecurity, job satisfaction, and organizational commitment: the mediating role of control perceptions. Psihologia Resurselor Umane, 13(2), 217–231. Van Dyne, L., Graham, J.W. Dienesch, R.M. (1994) Organizational citizenship behavior: construct redefinition, measurement, and val- idation. Academy of Management Journal, 37(4), 765–802. Vujiči c, D., Joviči c, A., Lali c, D., Gagi c, S. Cvejanov, A. (2014) The relation between job insecurity, job satisfaction and organizational commitment among employees in the tourism sector in Novi Sad. Economic and Industrial Democracy, 36(4), 633–652. https://doi. org/10.1177/0143831x14527017 Wood, R.C. (2020) Perspectives on hospitality industry trade unionism in the UK and beyond. Research in Hospitality Management, 10(2), 137–147. https://doi.org/10.1080/22243534.2020.1869456 Xiao, Z., Daoyou, W. Liao, Z. (2018) Job insecurity and workplace deviance: the moderating role of locus of control. Social Behavior and Personality: An International Journal, 46(10), 1673–1686. https://doi.org/10.2224/sbp.7160 Yousaf, S., Rasheed, M.I., Hameed, Z. Luqman, A. (2019) Occupa- tional stress and its outcomes: the role of work-social support in the hospitality industry. Personnel Review, 49(3), 755–773. https:// doi.org/10.1108/pr-11-2018-0478 Zaki, H. Al-Romeedy, B. (2018) Job security as a predictor of work alienation among Egyptian travel agencies’ employees. Minia Journal of Tourism and Hospitality Research, 3(1), 47–64. How to cite this article: Mahmoud, A.B., Reisel, W.D., Fuxman, L. Hack-Polay, D. (2021) Locus of control as a moderator of the effects of COVID-19 perceptions on job insecurity, psychosocial, organisational, and job outcomes for MENA region hospitality employees. European Management Review, 1–20. https://doi.org/10.1111/ emre.12494 16 MAHMOUD ET AL.
  • 17. APPENDIX A: MEASURES USED IN THE CURRENT STUDY Variable Item Assessment Source Alienation ALIE01 Often wish I were doing something else 5-point Likert scale. 1 = strongly disagree, 5 = strongly agree (Banai Reisel, 2007; Lang, 1985) ALIE02 Facing daily tasks is painful and boring ALIE03 Feel estranged from my ‘real self’ ALIE04 Time is often spent aimlessly ALIE05 Feel estranged from my ‘real self’ Job Satisfaction JS01 I am enthusiastic about my work 5-point Likert scale. 1 = strongly disagree, 5 = strongly agree (Judge et al., 2006) JS02 Right, now I feel fairly satisfied with my present job JS03 Happy at work JS04 At this moment, I am finding real enjoyment in my work Job Insecurity JSEC01 The possibility of losing my job occupies my thoughts constantly. 5-point Likert scale. 1 = strongly disagree, 5 = strongly agree (Francis Barling, 2005) JSEC02 No matter how hard I work there is no guarantee that I am going to keep my job. JSEC03 I am certain of losing my job. JSEC04 The probability of being laid-off is high. JSEC05 The possibility of losing my job occupies my thoughts constantly. Anxiety ANX01 I feel anxious 5-point Likert scale. 1 = strongly disagree, 5 = strongly agree (Hamilton, 1959) ANX02 I feel restless ANX03 I fear being left alone COVID-19 Perceptions COV01 I believe that the effect the coronavirus pandemic has had on people is 5-point Likert scale. 1 = positive, 5 = negative Designed for the current study COV02 The coronavirus pandemic is making me feel discomfort 5-point Likert scale. 1 = strongly disagree, 5 = strongly agree COV03 I feel worried about what could happen if any of my family or friends caught the virus Customer Orientation CO01 I try to help customers achieve their goals. 5-point Likert scale. 1 = strongly disagree, 5 = strongly agree (Brown et al., 2002) CO02 I achieve my own goals by satisfying customers. CO03 I take a problem-solving approach with my customers. CO04 I am able to answer a customer’s questions correctly. CO05 I keep the best interests of the customer in mind. OCB OCB01 I frequently make creative suggestions to co-workers 5-point Likert scale. 1 = strongly disagree, 5 = strongly agree (Van Dyne, Graham, and Dienesch 1994) OCB02 I produce as much as capable of at all times OCB03 I keep the work area clean and neat Turnover Intentions INTQ01 I am thinking about leaving this organization in the near future 5-point Likert scale. 1 = strongly disagree, 5 = strongly agree (Mobley, Horner, and Hollingsworth 1978) (Continued) EMPLOYEES’ LOCUS OF CONTROL IN PANDEMIC TIME 17
  • 18. APPENDIX B: CONSTRUCTS’ DESCRIPTIVE STATISTICS Variable Item Assessment Source INTQ02 I am talking to my family or friends about leaving this organization within the next year INTQ03 It would be a pleasure to spend my whole career working at this organization* Locus of Control LOC01 Getting the job you want is mostly a matter of luck. 5-point Likert scale. 1 = strongly disagree, 5 = strongly agree (Spector, 1988) LOC02 Making money is primarily a matter of good fortune. LOC03 Promotions are usually a matter of good fortune. LOC04 In order to get a really good job, you need to have family members or friends in high places. *Reverse-scored item. Spilt based on locus of control levels Full sample (N = 847) Internal (N = 358) External (N = 489) Construct Mean SD Mean SD Mean SD Alienation 3.13 1.24 2.70 1.12 3.45 1.23 Job Satisfaction 3.06 1.13 3.17 1.18 2.98 1.09 Job Insecurity 3.09 1.15 2.78 1.08 3.31 1.15 Anxiety 3.52 1.15 3.00 1.22 3.90 0.93 COVID-19 Perceptions 3.67 1.08 3.55 1.15 3.75 1.03 Customer Orientation 3.92 0.92 3.92 0.94 3.92 0.92 OCB 3.60 1.00 3.66 1.07 3.55 0.95 Customer Orientation 3.92 0.92 3.92 0.94 3.92 0.92 18 MAHMOUD ET AL.
  • 19. APPENDIX C: SPECIFIC INDIRECT EFFECTS Path B SD t COVID-19 Perceptions ! Job Insecurity ! Anxiety ! Alienation ! Job Satisfaction ! OCB 0.038** 0.007 5.612 Job Insecurity ! Anxiety ! Alienation ! Job Satisfaction ! Turnover Intentions 0.069** 0.012 5.966 Anxiety ! Alienation ! Job Satisfaction 0.272** 0.028 9.888 COVID-19 Perceptions ! Job Insecurity ! Anxiety 0.196** 0.027 7.149 COVID-19 Perceptions ! Job Insecurity ! Anxiety ! Alienation 0.091** 0.015 6.285 COVID-19 Perceptions ! Job Insecurity ! Anxiety ! Alienation ! Job Satisfaction ! Customer Orientation 0.019** 0.004 4.703 Job Insecurity ! Anxiety ! Alienation ! Job Satisfaction 0.145** 0.017 8.418 COVID-19 Perceptions ! Job Insecurity ! Alienation ! Job Satisfaction ! Customer Orientation 0.035** 0.007 5.26 Alienation ! Job Satisfaction ! Customer Orientation 0.21** 0.024 8.578 Job Insecurity ! Alienation ! Job Satisfaction ! Turnover Intentions 0.127** 0.02 6.188 COVID-19 Perceptions ! Job Insecurity ! Alienation ! Job Satisfaction ! OCB 0.069** 0.011 6.017 Anxiety ! Alienation ! Job Satisfaction ! Customer Orientation 0.098** 0.014 6.869 Anxiety ! Alienation ! Job Satisfaction ! OCB 0.192** 0.021 9.324 COVID-19 Perceptions ! Job Insecurity ! Alienation ! Job Satisfaction ! Turnover Intentions 0.047** 0.01 4.768 Alienation ! Job Satisfaction ! OCB 0.412** 0.03 13.526 COVID-19 Perceptions ! Job Insecurity ! Anxiety ! Alienation ! Job Satisfaction ! Turnover Intentions 0.025** 0.005 4.709 Job Insecurity ! Anxiety ! Alienation ! Job Satisfaction ! OCB 0.102** 0.013 7.991 Job Insecurity ! Alienation ! Job Satisfaction 0.267** 0.027 9.841 Job Insecurity ! Anxiety ! Alienation 0.248** 0.026 9.684 COVID-19 Perceptions ! Job Insecurity ! Anxiety ! Alienation ! Job Satisfaction 0.053** 0.009 5.736 Job Insecurity ! Alienation ! Job Satisfaction ! OCB 0.188** 0.02 9.144 Job Insecurity ! Anxiety ! Alienation ! Job Satisfaction ! Customer Orientation 0.052** 0.009 6.061 Anxiety ! Alienation ! Job Satisfaction ! Turnover Intentions 0.129** 0.021 6.241 Alienation ! Job Satisfaction ! Turnover Intentions 0.277** 0.038 7.189 (Continued) EMPLOYEES’ LOCUS OF CONTROL IN PANDEMIC TIME 19
  • 20. Path B SD t COVID-19 Perceptions ! Job Insecurity ! Alienation ! Job Satisfaction 0.098** 0.016 6.156 Job Insecurity ! Alienation ! Job Satisfaction ! Customer Orientation 0.096** 0.013 7.265 COVID-19 Perceptions ! Job Insecurity ! Alienation 0.168** 0.024 7.018 **P .001. 20 MAHMOUD ET AL.