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International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 4 Issue 3, April 2020 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD30783 | Volume – 4 | Issue – 3 | March-April 2020 Page 1070
Factors Affecting Employees’ Job Engagement at
Travel Agencies in Binh Thuan Province, Vietnam
Tran Phuc Ngon1, Nguyen Quoc Nghi2
1University of Phan Thiet, Vietnam
2Can Tho University, Vietnam
ABSTRACT
The objective of the study is to identify factors affecting job engagement of
travel agencies’ staff in Binh Thuan Province, Vietnam. Research data were
collected from 176 employees working at travel agencies by a convenient
sampling method. Exploratory factor analysis and linear regression analysis
ưere used to achieve research goals. The results have proved that factors
positively affecting the employees’ job engagement are direct management,
nature of work, recognition, traininganddevelopment,coworkerrelationship,
and compensation and benefits. In which, the direct supervision has the most
substantial influence on the job engagement of employees working at travel
agencies in Binh Thuan Province.
KEYWORDS: engagement, job, employee, travel agency
How to cite this paper: Tran Phuc Ngon |
Nguyen Quoc Nghi "Factors Affecting
Employees’ Job Engagement at Travel
Agencies in Binh Thuan Province,
Vietnam" Published
in International
Journal of Trend in
Scientific Research
and Development
(ijtsrd), ISSN: 2456-
6470, Volume-4 |
Issue-3, April 2020,
pp.1070-1074, URL:
www.ijtsrd.com/papers/ijtsrd30783.pdf
Copyright © 2020 by author(s) and
International Journal ofTrendinScientific
Research and Development Journal. This
is an Open Access article distributed
under the terms of
the Creative
CommonsAttribution
License (CC BY 4.0)
(http://creativecommons.org/licenses/by
/4.0)
1. INTRODUCTION
In 2019, Binh Thuan Province welcomed more than 6.4
million tourist turns, an increase of 11.39% compared to
2018. Of which, international visitors were about 775.000,
and the revenue reached 15.110 billion VND, a rise of 17.5%
compared to 2018. Creating an open investment
environment attracts more and more economic sectors to
invest in the tourism sector in Binh Thuan Province. By the
end of 2019, Binh Thuan Province had nearly 400 tourism
projects, including many foreign direct investment projects.
Facilities and services for tourism are rapidly improved in
both quantity and quality. There are almost 490
accommodation facilities with a total of 15.000 rooms in
Binh Thuan Province. This meets the demands of travelers
during off-peak seasons all year round. Besides, to reach the
increasing demands of tourists and attract more labor
involved in the tourism-hospitalityfield,travel agencieshave
been developing and expanding by size and quantity. Thus,
attracting and retaining the human resources workinginthe
tourism industry is a vital issue for travel enterprisesinBinh
Thuan Province.
According to Maslach et al., (2001), job engagement of
employees is a common factor that connects other factors
related to the work environment, turnover rate, job
satisfaction, and commitment. From the organizational
perspective, low job engagement of employees may lose
human resources, reduce work efficiency, and significantly
affect the performance of the organization (Muthuvelooand
Rose, 2005). The higher the job engagement of employees,
the more benefits the organization gets (Van Allen, 2012). If
the manager effectivelyconnectsemployeeswiththeir work,
the organization’s competitiveness will be undoubtedly
improved (Baldoni, 2013). With the above discussions, this
study was conducted to point out factors affecting the
employees’ job engagement of travel agenciesinBinhThuan
Province.
2. THEORETICAL FRAMEWORK AND RESEARCH
HYPOTHESES
2.1. Theoretical framework
Job engagement represents the state of mind, shows
employees' thoughts and actions at work. It is the focus on
job tasks,dedication, passion, effort, and enthusiasm. Job
engagement is the energy that an employee needs to work
effectively with high efficiency (Maslach et al., 2001). Job
engagement is a positive and satisfying mental state that is
related to work. It is expressed by enthusiasm and
dedication (Schaufeli and Bakker, 2004). According to
Coughlan (2005), employee's engagement with their job is
considered to be the dedication to the success of the
organization and the belief that working at the organization
is the right career choice.
IJTSRD30783
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD30783 | Volume – 4 | Issue – 3 | March-April 2020 Page 1071
2.2. Research hypotheses
Studies by Schaufeli and Bakker (2004), Hewitt (2014),
Bakker and Demerouti (2008), Malik et al., (2010), Azeem
and Akhtar (2014) have demonstrated factors such as direct
management, recognition, and colleague relation positively
affect employees’ job engagement. Besides, Malik et al.,
(2010), Azeem and Akhtar (2014), Araya and Haiyan(2015),
Nguyen (2016) have confirmed that the nature of work is an
essential factor affecting the engagement with the job of
employees. Furthermore, findings in studies by Martensen
and Grønholdt(2006),ChughtaiandZafar(2006),Azeemand
Akhtar (2014), Araya and Haiyan (2015) have stressed the
positive impactoftraininganddevelopmentopportunitieson
the employee's commitmentto the work. Finally, Malik et al.,
(2010), Azeem and Akhtar (2014), Araya and Haiyan(2015),
Nguyen (2016) showed the powerful influence of
compensation and benefits on job engagement of the staff.
Based on the literature review, the study used the group
discussionmethod(qualitativeresearch)withtourismexperts
and employees working in travel agencies in Binh Thuan
Province. The results of the discussion set out research
hypotheses and appropriate scales for the research model.
Research hypotheses: H1: Direct management positively
impacts employee engagement. H2: The nature of work
positivelyaffects employees’jobengagement.H3:Recognition
positivelyinfluences employee engagement.H4:Trainingand
development opportunities positively affects employees’ job
engagement. H5: Coworker relationship positively impacts
employee engagement. H6: Compensation and benefits
positively impact employee engagement. Therefore, the
following research model is stated.
Figure 1: Proposed research model
Table 1: Interpretation of observations in the research model
Factor Observed variables Sign Scale
Direct management
The work assignment is scientific and logical. DM1 Likert 1-5
The treatment is fair, and the feedback is always listened to. DM2 Likert 1-5
Job responses are provided regularly. DM3 Likert 1-5
Support and help from the manager are offered. DM4 Likert 1-5
Nature of work
Professional competence is suitable for the job. NOW1 Likert 1-5
Understand and catch up with the nature of work. NOW2 Likert 1-5
Understand the requirements, responsibilities, and powers of
each employee.
NOW3 Likert 1-5
Have opportunities to use skills and creativity at work. NOW4 Likert 1-5
Recognition
Achievements are always rewarded. REC1 Likert 1-5
Useful ideas are widely applied. REC2 Likert 1-5
The leader and colleagues recognize contributions. REC3 Likert 1-5
Feel valued at work. REC4 Likert 1-5
Training and
development
The organization has training courses in skills and professional
qualifications.
TAD1 Likert 1-5
The organization focuses on training and updating work-related
knowledge.
TAD2 Likert 1-5
The ỏganization always chooses the right people in promotion
decisions.
TAD3 Likert 1-5
The organization gives promotion opportunities consistent with
each employee’s capacity.
TAD4 Likert 1-5
Coworker relationship
Colleagues always cooperate well. CR1 Likert 1-5
Feel like a part of a capable team. CR2 Likert 1-5
The relationships among colleagues are good. CR3 Likert 1-5
Colleagues always trust each other. CR4 Likert 1-5
Compensation and
benefits
The salary is commensurate with the workload. CAB1 Likert 1-5
Rewards/punishments are clear and reasonable. CAB2 Likert 1-5
The welfare policy is excellent and flexible. CAB3 Likert 1-5
The income is highly competitive in the tourism market. CAB4 Likert 1-5
Compensation and benefits are always paid on time. CAB5 Likert 1-5
Job engagement
Make efforts to complete assigned tasks. JE1 Likert 1-5
Always be proud of the current job. JE2 Likert 1-5
Will engage with the job in the long term. JE3 Likert 1-5
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD30783 | Volume – 4 | Issue – 3 | March-April 2020 Page 1072
3. RESEARCH METHODOLOGY
3.1. Analytical methods
The quantitative determination of factors affecting employee engagement in travel enterprises is conducted in3steps.Step1:
Use the Cronbach’s Alpha to test reliability and the internal consistency among observed variables.Step2:Usetheexploratory
factor analysis (EFA) to assess the convergent and discriminant validity of observed variables. Step 3: Use the multivariate
linear regression to test the research hypotheses.
3.2. Data collection method
The study used a convenience sampling method to survey 176 employees who are working at travel agencies in Binh Thuan
Province. According to Hair et al. (1998), to apply exploratory factor analysis (EFA), the proportionbetweenobservationsand
the measured variable is 5:1, meaning that each measured variable requires at least 5 items. As reported by Tabachnick and
Fidell(2007), the appropriate sample size for linear regression is N ≥ 50 + 5*m (where m is the number of independent
variables). Thus, the sample size achieves the reliability requirement for testing research hypotheses.
4. RESEARCH RESULTS AND DISCUSSIONS
4.1. Evaluate the reliability of the scales
The Cronbach's Alpha was used to eliminate variables with "garbage"valuesandvariableswithItem-total correlationlessthan
0.3 (Nunnally, 1978; Peterson, 1994; Slater, 1995). The scales are satisfactory if Cronbach's Alpha coefficients are more
significant than 0.6 (Nunnally and Bernstein, 1994). The analysis result in Table 2 shows that the scales have high Cronbach's
Alpha values (the minimum is 0.752) and the Item-total correlation of each observation meets therequirement(theminimum
is 0.325). Therefore, all variables can be includes in the exploratory factor analysis (EFA).
Table 2: Scale reliability test result
Factor Number of variables Minimum item-total correlation Cronbach's Alpha
Direct management 4 0.552 0.804
Nature of work 4 0.496 0.752
Recognition 4 0.325 0.757
Training and development 4 0.492 0.787
Coworker relationship 4 0.465 0.790
Compensation and benefits 5 0.504 0.775
Job engagement 3 0.560 0.752
Source: Survey data, 2020
4.2. Exploratory factor analysis (EFA)
According to the EFA result for independent variables, the coefficients are guaranteed as follows: The significance level of the
model (Sig) is less than 0.05 and the KMO = 0.738 (in the range of 0 to 1); the factor loading values of all observationsaremore
significant than 0.5; the cumulative variance testis65.217%>50%.Thisshowsthattheresearchdataissatisfactory(Anderson
and Gerbing, 1988). As a result, 6 factors are formed, namely, F1, F2, F3, F4, F5, and F6. The observations in the scales are the
same as the proposed model, so there is no change in factor names. Hence, the research model includes 6 factors which are
direct management, nature of work, recognition, training and development, coworker relationship, and compensation and
benefits. Similarly, the EFA result for the dependent variable is as follows: The significance level of the model (Sig) is less than
0.05 and the KMO value = 0.671 (between 0 and 1), the factor loading is more significant than 0.5; the cumulativevariancetest
reaches a value of 67.257% > 50%. This proves that the research data is satisfactory (Anderson and Gerbing, 1988). Thus, the
result creates 1 factor, which is F7, job engagement. All elements are presented in the table below.
Table 3: Factors formed from the exploratory factor analysis
Sign Observed variables Factor names
F1 4 variables: DM1, DM2, DM3, DM4 Direct management
F2 4 variables: NOW1, NOW2, NOW3, NOW4 Nature of work
F3 4 variables: REC1, REC2, REC3, REC4 Recognition
F4 4 variables: TAD1, TAD2, TAD3, TAD4 Training and development
F5 4 variables: CR1, CR2, CR3, CR4 Coworker relationship
F6 5 variables: CAB1, CAB2, CAB3, CAB4, CAB5 Compensation and benefits
F7 3 variables: JE1, JE2, JE3 Job engagement
Source: Survey data, 2020
4.3. Multivariate linear regression
After the EFA step, the multivariate linear regression was used to identify factors affecting employee engagement at travel
enterprises in Binh Province. The result is shown in Table 4.
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD30783 | Volume – 4 | Issue – 3 | March-April 2020 Page 1073
Table 4: Multivariate linear regression result
Factor
Standardized
coefficient
Significance
probability (Sig.)
Variance inflation
factor (VIF)
Hypothesis
Direct management 0.452 0.000 1.305 H1: accepted
Nature of work 0.314 0.000 1.260 H2: accepted
Recognition 0.156 0.001 1.089 H3: accepted
Training and development 0.199 0.000 1.094 H4: accepted
Coworker relationship 0.213 0.000 1.260 H5: accepted
Compensation and benefits 0.239 0.000 1.264 H6: accepted
Adjusted R2 0.640
Durbin-Watson stat 1.862
Sig.F value 0.000
Source: Survey data, 2020
According to Table 4, the adjusted R2 value of the model is 64%, which proves that the factors explain the employees’ job
engagement in the model at a high level. The Sig.F value of the model is much smaller than the significance level whoseα=5%,
so the proposed model is statistically significant. The Durbin-Watson coefficient = 1.862, and VIF < 4, showing that the model
does not reach auto-correlation and multi-collinearity. Besides, the resultsuggeststhatindependentvariablesinthemodel are
statistically significant. All factors (direct management, nature of work, recognition, training and development, coworker
relationship, and compensation and benefits) are positively correlated with employee engagement. In other words, if the
employee highly appreciates the leadership style, organization's recognitions, working environment/conditions, job
characteristics, adequate salary and benefits, promotion opportunities, theemployee'sengagementtothejobwill behigher.In
particular, direct management has the most definite impact on the job engagement of employees working at travel agenciesin
Binh Thuan Province.
5. CONCLUSION AND IMPLICATIONS
The study used quantitative methods to find out factors
affecting thejob engagementofemployeesworkingintourism
agencies in Binh Thuan Province. The analytical results have
proved that the factors positively impact employee
engagement are direct management, nature of the work,
recognition,traininganddevelopment,coworkerrelationship,
and compensation and benefits. In which, direct supervision
puts the most powerful impact on the job engagement of
employees. Subsequently, several management implications
are proposed. Firstly, continuously improve the leadership
style in positive and modern directions. Secondly, create a
competitive and efficient working environment. Thirdly
provide work motivationthroughmoralandmaterialpolicies.
Fourthly, pay more attention to working conditions and the
nature of work. Fifthly, expand training and professional
qualification courses.
REFERENCES
[1] Anderson, J. C., & Gerbing, D. W. (1988). Structural
equation modeling in practice: A review and
recommended two-step approach. Psychological
Bulletin, 103(3), 411-423.
[2] Araya, S. H., & Haiyan, M. (2016). How job satisfaction
factors affect components of organizational
commitment: Study on employees of star hotels in
Eritrea. International Journal of Human Resource
Studies, 5(4), 95-109.
[3] Azeem, S. M., & Akhtar, N. (2014). Job satisfaction and
organizational commitment among public sector
employees in Saudi Arabia. International Journal of
Business and Social Science, 5(7), 128-133.
[4] Bakker, A. B., & Demerouti, E. (2008).Towardsa model
of work engagement. Career developmentinternational,
13(3), 209-223.
[5] Baldoni, J. (2013). Employee engagement does more
than boost productivity. Harvard Business Review, 4.
[6] Chughtai, A. A., & Zafar, S. (2006). Antecedents and
consequences of organizational commitment among
Pakistani university teachers. Applied H.R.M. Research,
11(1), 39-64.
[7] Coughlan, R. (2005). Employee loyalty as adherence to
shared moral values. Journal of Managerial Issues,
17(1), 43-57.
[8] Hair, J. F., Tatham, R. L., Anderson, R. E., & Black, W. C.
(1998). Multivariate Data Analysis (5th ed.). New
Jersey: Prentice-Hall.
[9] Hewitt, A. (2014). 2012 Trends in global employee
engagement.
[10] Malik, M. E., Nawab, S., Naeem, B., & Danish, R. Q.
(2010). Job satisfaction and organizational
commitment of university teachers in public sector of
Pakistan. International journal of business and
management, 5(6), 17-26.
[11] Martensen, A., & Grønholdt, L. (2006). Internal
marketing: a study of employee loyalty, its
determinants and consequences. Innovative
Marketing, 2(4), 92-116.
[12] Maslach, C., Schaufeli, W. B., & Leiter, M. P. (2001). Job
burnout. Annual review of psychology, 52(1), 397-422.
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD30783 | Volume – 4 | Issue – 3 | March-April 2020 Page 1074
[13] Muthuveloo, R., & Rose, R. C. (2005). Typology of
organizational commitment. American Journal of
Applied Science, 2(6), 1078-1081.
[14] Nguyen, Q. N. (2016). Factors affecting adherence to
the organization of young employees in the banking
system. Journal of Economics – Technology, 15, 22-29.
[15] Nunnally, J. (1978). Psychometric Theory. New York:
McGraw-Hill.
[16] Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric
theory (3rd ed.). New York: McGraw-Hill.
[17] Peterson, R. (1994). A Meta-Analysis of Cronbach’s
Coefficient Alpha. Journal of Consumer Research, 21(2),
381–391.
[18] Slater, S. (1995), Issues in Conducting Marketing
Strategy Research. Journal of Strategic, 3(4), 257-270.
[19] Schaufeli, W. B., & Bakker, A. B. (2004). Job demands,
job resources, and their relationship with burnout and
engagement: A multi-sample study. Journal of
Organizational Behavior: The International Journal of
Industrial, Occupational and OrganizationalPsychology
and Behavior, 25(3), 293-315.
[20] Tabachnick, B. G., & Fidell, L. S. (2007). Experimental
designs using ANOVA (p.724). Belmont, CA:
Thomson/Brooks/Cole.
[21] Van Allen, S. (2012). Engagement at Work: Its effects
on performance continueintougheconomictimes:Key
Findings from Gallup's Q12 Meta-Analysis of 1.4
million employees. Gallup, Inc

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Factors Affecting Employees’ Job Engagement at Travel Agencies in Binh Thuan Province, Vietnam

  • 1. International Journal of Trend in Scientific Research and Development (IJTSRD) Volume 4 Issue 3, April 2020 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470 @ IJTSRD | Unique Paper ID – IJTSRD30783 | Volume – 4 | Issue – 3 | March-April 2020 Page 1070 Factors Affecting Employees’ Job Engagement at Travel Agencies in Binh Thuan Province, Vietnam Tran Phuc Ngon1, Nguyen Quoc Nghi2 1University of Phan Thiet, Vietnam 2Can Tho University, Vietnam ABSTRACT The objective of the study is to identify factors affecting job engagement of travel agencies’ staff in Binh Thuan Province, Vietnam. Research data were collected from 176 employees working at travel agencies by a convenient sampling method. Exploratory factor analysis and linear regression analysis ưere used to achieve research goals. The results have proved that factors positively affecting the employees’ job engagement are direct management, nature of work, recognition, traininganddevelopment,coworkerrelationship, and compensation and benefits. In which, the direct supervision has the most substantial influence on the job engagement of employees working at travel agencies in Binh Thuan Province. KEYWORDS: engagement, job, employee, travel agency How to cite this paper: Tran Phuc Ngon | Nguyen Quoc Nghi "Factors Affecting Employees’ Job Engagement at Travel Agencies in Binh Thuan Province, Vietnam" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456- 6470, Volume-4 | Issue-3, April 2020, pp.1070-1074, URL: www.ijtsrd.com/papers/ijtsrd30783.pdf Copyright © 2020 by author(s) and International Journal ofTrendinScientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative CommonsAttribution License (CC BY 4.0) (http://creativecommons.org/licenses/by /4.0) 1. INTRODUCTION In 2019, Binh Thuan Province welcomed more than 6.4 million tourist turns, an increase of 11.39% compared to 2018. Of which, international visitors were about 775.000, and the revenue reached 15.110 billion VND, a rise of 17.5% compared to 2018. Creating an open investment environment attracts more and more economic sectors to invest in the tourism sector in Binh Thuan Province. By the end of 2019, Binh Thuan Province had nearly 400 tourism projects, including many foreign direct investment projects. Facilities and services for tourism are rapidly improved in both quantity and quality. There are almost 490 accommodation facilities with a total of 15.000 rooms in Binh Thuan Province. This meets the demands of travelers during off-peak seasons all year round. Besides, to reach the increasing demands of tourists and attract more labor involved in the tourism-hospitalityfield,travel agencieshave been developing and expanding by size and quantity. Thus, attracting and retaining the human resources workinginthe tourism industry is a vital issue for travel enterprisesinBinh Thuan Province. According to Maslach et al., (2001), job engagement of employees is a common factor that connects other factors related to the work environment, turnover rate, job satisfaction, and commitment. From the organizational perspective, low job engagement of employees may lose human resources, reduce work efficiency, and significantly affect the performance of the organization (Muthuvelooand Rose, 2005). The higher the job engagement of employees, the more benefits the organization gets (Van Allen, 2012). If the manager effectivelyconnectsemployeeswiththeir work, the organization’s competitiveness will be undoubtedly improved (Baldoni, 2013). With the above discussions, this study was conducted to point out factors affecting the employees’ job engagement of travel agenciesinBinhThuan Province. 2. THEORETICAL FRAMEWORK AND RESEARCH HYPOTHESES 2.1. Theoretical framework Job engagement represents the state of mind, shows employees' thoughts and actions at work. It is the focus on job tasks,dedication, passion, effort, and enthusiasm. Job engagement is the energy that an employee needs to work effectively with high efficiency (Maslach et al., 2001). Job engagement is a positive and satisfying mental state that is related to work. It is expressed by enthusiasm and dedication (Schaufeli and Bakker, 2004). According to Coughlan (2005), employee's engagement with their job is considered to be the dedication to the success of the organization and the belief that working at the organization is the right career choice. IJTSRD30783
  • 2. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD30783 | Volume – 4 | Issue – 3 | March-April 2020 Page 1071 2.2. Research hypotheses Studies by Schaufeli and Bakker (2004), Hewitt (2014), Bakker and Demerouti (2008), Malik et al., (2010), Azeem and Akhtar (2014) have demonstrated factors such as direct management, recognition, and colleague relation positively affect employees’ job engagement. Besides, Malik et al., (2010), Azeem and Akhtar (2014), Araya and Haiyan(2015), Nguyen (2016) have confirmed that the nature of work is an essential factor affecting the engagement with the job of employees. Furthermore, findings in studies by Martensen and Grønholdt(2006),ChughtaiandZafar(2006),Azeemand Akhtar (2014), Araya and Haiyan (2015) have stressed the positive impactoftraininganddevelopmentopportunitieson the employee's commitmentto the work. Finally, Malik et al., (2010), Azeem and Akhtar (2014), Araya and Haiyan(2015), Nguyen (2016) showed the powerful influence of compensation and benefits on job engagement of the staff. Based on the literature review, the study used the group discussionmethod(qualitativeresearch)withtourismexperts and employees working in travel agencies in Binh Thuan Province. The results of the discussion set out research hypotheses and appropriate scales for the research model. Research hypotheses: H1: Direct management positively impacts employee engagement. H2: The nature of work positivelyaffects employees’jobengagement.H3:Recognition positivelyinfluences employee engagement.H4:Trainingand development opportunities positively affects employees’ job engagement. H5: Coworker relationship positively impacts employee engagement. H6: Compensation and benefits positively impact employee engagement. Therefore, the following research model is stated. Figure 1: Proposed research model Table 1: Interpretation of observations in the research model Factor Observed variables Sign Scale Direct management The work assignment is scientific and logical. DM1 Likert 1-5 The treatment is fair, and the feedback is always listened to. DM2 Likert 1-5 Job responses are provided regularly. DM3 Likert 1-5 Support and help from the manager are offered. DM4 Likert 1-5 Nature of work Professional competence is suitable for the job. NOW1 Likert 1-5 Understand and catch up with the nature of work. NOW2 Likert 1-5 Understand the requirements, responsibilities, and powers of each employee. NOW3 Likert 1-5 Have opportunities to use skills and creativity at work. NOW4 Likert 1-5 Recognition Achievements are always rewarded. REC1 Likert 1-5 Useful ideas are widely applied. REC2 Likert 1-5 The leader and colleagues recognize contributions. REC3 Likert 1-5 Feel valued at work. REC4 Likert 1-5 Training and development The organization has training courses in skills and professional qualifications. TAD1 Likert 1-5 The organization focuses on training and updating work-related knowledge. TAD2 Likert 1-5 The ỏganization always chooses the right people in promotion decisions. TAD3 Likert 1-5 The organization gives promotion opportunities consistent with each employee’s capacity. TAD4 Likert 1-5 Coworker relationship Colleagues always cooperate well. CR1 Likert 1-5 Feel like a part of a capable team. CR2 Likert 1-5 The relationships among colleagues are good. CR3 Likert 1-5 Colleagues always trust each other. CR4 Likert 1-5 Compensation and benefits The salary is commensurate with the workload. CAB1 Likert 1-5 Rewards/punishments are clear and reasonable. CAB2 Likert 1-5 The welfare policy is excellent and flexible. CAB3 Likert 1-5 The income is highly competitive in the tourism market. CAB4 Likert 1-5 Compensation and benefits are always paid on time. CAB5 Likert 1-5 Job engagement Make efforts to complete assigned tasks. JE1 Likert 1-5 Always be proud of the current job. JE2 Likert 1-5 Will engage with the job in the long term. JE3 Likert 1-5
  • 3. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD30783 | Volume – 4 | Issue – 3 | March-April 2020 Page 1072 3. RESEARCH METHODOLOGY 3.1. Analytical methods The quantitative determination of factors affecting employee engagement in travel enterprises is conducted in3steps.Step1: Use the Cronbach’s Alpha to test reliability and the internal consistency among observed variables.Step2:Usetheexploratory factor analysis (EFA) to assess the convergent and discriminant validity of observed variables. Step 3: Use the multivariate linear regression to test the research hypotheses. 3.2. Data collection method The study used a convenience sampling method to survey 176 employees who are working at travel agencies in Binh Thuan Province. According to Hair et al. (1998), to apply exploratory factor analysis (EFA), the proportionbetweenobservationsand the measured variable is 5:1, meaning that each measured variable requires at least 5 items. As reported by Tabachnick and Fidell(2007), the appropriate sample size for linear regression is N ≥ 50 + 5*m (where m is the number of independent variables). Thus, the sample size achieves the reliability requirement for testing research hypotheses. 4. RESEARCH RESULTS AND DISCUSSIONS 4.1. Evaluate the reliability of the scales The Cronbach's Alpha was used to eliminate variables with "garbage"valuesandvariableswithItem-total correlationlessthan 0.3 (Nunnally, 1978; Peterson, 1994; Slater, 1995). The scales are satisfactory if Cronbach's Alpha coefficients are more significant than 0.6 (Nunnally and Bernstein, 1994). The analysis result in Table 2 shows that the scales have high Cronbach's Alpha values (the minimum is 0.752) and the Item-total correlation of each observation meets therequirement(theminimum is 0.325). Therefore, all variables can be includes in the exploratory factor analysis (EFA). Table 2: Scale reliability test result Factor Number of variables Minimum item-total correlation Cronbach's Alpha Direct management 4 0.552 0.804 Nature of work 4 0.496 0.752 Recognition 4 0.325 0.757 Training and development 4 0.492 0.787 Coworker relationship 4 0.465 0.790 Compensation and benefits 5 0.504 0.775 Job engagement 3 0.560 0.752 Source: Survey data, 2020 4.2. Exploratory factor analysis (EFA) According to the EFA result for independent variables, the coefficients are guaranteed as follows: The significance level of the model (Sig) is less than 0.05 and the KMO = 0.738 (in the range of 0 to 1); the factor loading values of all observationsaremore significant than 0.5; the cumulative variance testis65.217%>50%.Thisshowsthattheresearchdataissatisfactory(Anderson and Gerbing, 1988). As a result, 6 factors are formed, namely, F1, F2, F3, F4, F5, and F6. The observations in the scales are the same as the proposed model, so there is no change in factor names. Hence, the research model includes 6 factors which are direct management, nature of work, recognition, training and development, coworker relationship, and compensation and benefits. Similarly, the EFA result for the dependent variable is as follows: The significance level of the model (Sig) is less than 0.05 and the KMO value = 0.671 (between 0 and 1), the factor loading is more significant than 0.5; the cumulativevariancetest reaches a value of 67.257% > 50%. This proves that the research data is satisfactory (Anderson and Gerbing, 1988). Thus, the result creates 1 factor, which is F7, job engagement. All elements are presented in the table below. Table 3: Factors formed from the exploratory factor analysis Sign Observed variables Factor names F1 4 variables: DM1, DM2, DM3, DM4 Direct management F2 4 variables: NOW1, NOW2, NOW3, NOW4 Nature of work F3 4 variables: REC1, REC2, REC3, REC4 Recognition F4 4 variables: TAD1, TAD2, TAD3, TAD4 Training and development F5 4 variables: CR1, CR2, CR3, CR4 Coworker relationship F6 5 variables: CAB1, CAB2, CAB3, CAB4, CAB5 Compensation and benefits F7 3 variables: JE1, JE2, JE3 Job engagement Source: Survey data, 2020 4.3. Multivariate linear regression After the EFA step, the multivariate linear regression was used to identify factors affecting employee engagement at travel enterprises in Binh Province. The result is shown in Table 4.
  • 4. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD30783 | Volume – 4 | Issue – 3 | March-April 2020 Page 1073 Table 4: Multivariate linear regression result Factor Standardized coefficient Significance probability (Sig.) Variance inflation factor (VIF) Hypothesis Direct management 0.452 0.000 1.305 H1: accepted Nature of work 0.314 0.000 1.260 H2: accepted Recognition 0.156 0.001 1.089 H3: accepted Training and development 0.199 0.000 1.094 H4: accepted Coworker relationship 0.213 0.000 1.260 H5: accepted Compensation and benefits 0.239 0.000 1.264 H6: accepted Adjusted R2 0.640 Durbin-Watson stat 1.862 Sig.F value 0.000 Source: Survey data, 2020 According to Table 4, the adjusted R2 value of the model is 64%, which proves that the factors explain the employees’ job engagement in the model at a high level. The Sig.F value of the model is much smaller than the significance level whoseα=5%, so the proposed model is statistically significant. The Durbin-Watson coefficient = 1.862, and VIF < 4, showing that the model does not reach auto-correlation and multi-collinearity. Besides, the resultsuggeststhatindependentvariablesinthemodel are statistically significant. All factors (direct management, nature of work, recognition, training and development, coworker relationship, and compensation and benefits) are positively correlated with employee engagement. In other words, if the employee highly appreciates the leadership style, organization's recognitions, working environment/conditions, job characteristics, adequate salary and benefits, promotion opportunities, theemployee'sengagementtothejobwill behigher.In particular, direct management has the most definite impact on the job engagement of employees working at travel agenciesin Binh Thuan Province. 5. CONCLUSION AND IMPLICATIONS The study used quantitative methods to find out factors affecting thejob engagementofemployeesworkingintourism agencies in Binh Thuan Province. The analytical results have proved that the factors positively impact employee engagement are direct management, nature of the work, recognition,traininganddevelopment,coworkerrelationship, and compensation and benefits. In which, direct supervision puts the most powerful impact on the job engagement of employees. Subsequently, several management implications are proposed. Firstly, continuously improve the leadership style in positive and modern directions. Secondly, create a competitive and efficient working environment. Thirdly provide work motivationthroughmoralandmaterialpolicies. Fourthly, pay more attention to working conditions and the nature of work. Fifthly, expand training and professional qualification courses. REFERENCES [1] Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423. [2] Araya, S. H., & Haiyan, M. (2016). How job satisfaction factors affect components of organizational commitment: Study on employees of star hotels in Eritrea. International Journal of Human Resource Studies, 5(4), 95-109. [3] Azeem, S. M., & Akhtar, N. (2014). Job satisfaction and organizational commitment among public sector employees in Saudi Arabia. International Journal of Business and Social Science, 5(7), 128-133. [4] Bakker, A. B., & Demerouti, E. (2008).Towardsa model of work engagement. Career developmentinternational, 13(3), 209-223. [5] Baldoni, J. (2013). Employee engagement does more than boost productivity. Harvard Business Review, 4. [6] Chughtai, A. A., & Zafar, S. (2006). Antecedents and consequences of organizational commitment among Pakistani university teachers. Applied H.R.M. Research, 11(1), 39-64. [7] Coughlan, R. (2005). Employee loyalty as adherence to shared moral values. Journal of Managerial Issues, 17(1), 43-57. [8] Hair, J. F., Tatham, R. L., Anderson, R. E., & Black, W. C. (1998). Multivariate Data Analysis (5th ed.). New Jersey: Prentice-Hall. [9] Hewitt, A. (2014). 2012 Trends in global employee engagement. [10] Malik, M. E., Nawab, S., Naeem, B., & Danish, R. Q. (2010). Job satisfaction and organizational commitment of university teachers in public sector of Pakistan. International journal of business and management, 5(6), 17-26. [11] Martensen, A., & Grønholdt, L. (2006). Internal marketing: a study of employee loyalty, its determinants and consequences. Innovative Marketing, 2(4), 92-116. [12] Maslach, C., Schaufeli, W. B., & Leiter, M. P. (2001). Job burnout. Annual review of psychology, 52(1), 397-422.
  • 5. International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD30783 | Volume – 4 | Issue – 3 | March-April 2020 Page 1074 [13] Muthuveloo, R., & Rose, R. C. (2005). Typology of organizational commitment. American Journal of Applied Science, 2(6), 1078-1081. [14] Nguyen, Q. N. (2016). Factors affecting adherence to the organization of young employees in the banking system. Journal of Economics – Technology, 15, 22-29. [15] Nunnally, J. (1978). Psychometric Theory. New York: McGraw-Hill. [16] Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill. [17] Peterson, R. (1994). A Meta-Analysis of Cronbach’s Coefficient Alpha. Journal of Consumer Research, 21(2), 381–391. [18] Slater, S. (1995), Issues in Conducting Marketing Strategy Research. Journal of Strategic, 3(4), 257-270. [19] Schaufeli, W. B., & Bakker, A. B. (2004). Job demands, job resources, and their relationship with burnout and engagement: A multi-sample study. Journal of Organizational Behavior: The International Journal of Industrial, Occupational and OrganizationalPsychology and Behavior, 25(3), 293-315. [20] Tabachnick, B. G., & Fidell, L. S. (2007). Experimental designs using ANOVA (p.724). Belmont, CA: Thomson/Brooks/Cole. [21] Van Allen, S. (2012). Engagement at Work: Its effects on performance continueintougheconomictimes:Key Findings from Gallup's Q12 Meta-Analysis of 1.4 million employees. Gallup, Inc