Leading by example: A three-wave sequential mixed method food safety study
1. Department of Hospitality Management
College of Human Ecology
Leading by example: a three-wave sequential mixed method food safety
study
Naiqing Lin, Paola Paez, Ph.D.
Kansas State University
International Journal of Hospitality Management
https://doi.org/10.1016/j.ijhm.2020.102463
2. Department of Hospitality Management
College of Human Ecology
Introduction
In 2016, restaurants were still the most commonly reported
location of foodborne diseases outbreaks (469, 52%) and
associated illnesses (4,757, 31%)1.
It has been suggested that 97% of outbreaks traced to non-
manufacturing food businesses involved food handler error or
malpractice2.
To effectively reduce foodborne illnesses, foodservice
managers and food handlers must perform essential food
safety behaviors3.
1. Angelo, Nisler, Hall, Brown, & Gould, 2017; CDC, 2017
2. Howes et al., 1996; Griffith, Livesey, & Clayton, 2010
3. Debess et al., 2009; Green et al., 2007; Green & Selman, 2005
3. Department of Hospitality Management
College of Human Ecology
Literature Review
Health inspections within the public sector1 and audit reports from
the private sector2 have identified significant degrees of non-
comformity of food safety behavior.
Qualitative research emphases on the meaning of the data within
the context of social environment has gain popularity3.
By conducting food safety research on the short longitudinal
period, our study using waves of data collection process and
provided a significant degree of reflexivity4.
1. CDC, 2016; 2. Egan et al., 2007; Valerie et al., 2008
3. Arendt et al., 2012; Kwortnik, 2003
4. Patten, 1990
4. Department of Hospitality Management
College of Human Ecology
Purpose
The purpose of this study is to explore managerial practices that influence
individuals’ food safety behaviors
- using a sequential mixed method approach.
5. Department of Hospitality Management
College of Human Ecology
Research Design Nest-purposeful sampling and key informants1
1. Patton, 1990; Creswell, 2014
Wave-2 (n = 263)
Taking a stratified selective sample
based on variations of the core
constructs and analyze core themes
Population
Sample
KI Wave-3 (n = 17)
Identify and recruit key informants to
reflect on previous survey and
questions, to provide in-depth
understandings and validity.
KI
Purposeful
Sample
Wave-1 (n = 642)
A panel sample in the target
population of interest and survey core
constructs
6. Department of Hospitality Management
College of Human Ecology
Data Analysis and Rigor
Qualitative narrative analysis techniques were used to analyze the interview data1.
ATLAS.ti (Version 7.5) was used to facilitate organization and maintenance of the data.
Initial themes were labeled and defined by consensus and agreed among reviewers.
Consensus was reached when kappa agreements for coding and themes were >0.80
(2).
Member checks were conducted by having two food safety expert review and comment
on the audit trail to establish credibility3.
1. Riessman, 2002; Polkinghorne, 1995
2. Gwet, 2010
3. Sandelowski, 2000
8. Department of Hospitality Management
College of Human Ecology
Gender
Male Female
Age
18 - 24 25 - 34 35 - 44
45 - 54 55 - 64 65 - 74
Employment Status
Full-time Part-time
Wave 1 Sample Demographics
9. Department of Hospitality Management
College of Human Ecology
Years in the Industry
Less than 1 year 1-5 years
6-20 years More than 20 years
Type of Foodservice
Fast food
Fast casual
Family style/ casual
Fine dining
Wave 1 Sample Demographics
10. Department of Hospitality Management
College of Human Ecology
Wave 2 and Wave 3
11
• A total of 263 participants were invited for Wave-2 data collection
• 20 participants responded (7%), after coding leaving 17 useable for wave-2 thematic
analyses
• After coding, two participants were purposefully selected for in-depth interview
– To facilitate comparison both participants were selected from casual dining
restaurants, with proximity geographic location, with more than ten years of
working experience.
– However, gender, education background, and job position were different
13. Department of Hospitality Management
College of Human Ecology
Theme one – Busyness: The danger of taking shortcuts and ‘customer-first.’
15
• As one of our key informant stated:
– “Every once in a while, it gets so busy that we are tempted to cut
corners and do things fast instead of right.”
• A concerning interpretation
– “I think sometimes we're very busy, and we're expected to take
care of customers first. Customers don't like waiting for you to
wash your hands first.” [Female, 36]
14. Department of Hospitality Management
College of Human Ecology
Theme two – Role model: Managers should also walk the walk.
16
• As one of our key informant stated:
– “Managers should be following all procedures and lead by
example. If managers do not follow the procedures employees
will not be as efficient to follow them either.”
• A female server at casual dining stated:
– “if a manager is not following those practices and that would be
confusing to employees and make them not follow instructions.”
15. Department of Hospitality Management
College of Human Ecology
Theme three – Retraining: The importance of following through
17
• One of the biggest challenges to food safety is training, and how to
motivate behaviors after training :
– “Any training has a period; we should follow them after training,
and retrain them through work, even the supervisor.” [KI]
• A concerning statement
– “Honestly, we didn't receive any official training; we could use
official training. All of us tends to get thrown into our positions,
and since there is no standard for training, everyone does things
differently.” [Female, Fast-casual]
17. Department of Hospitality Management
College of Human Ecology
Implications
The results noted the urgent needs to improve food safety practices during rush hours or
when the restaurant is bustling. Two reasons were identified
not enough staff scheduled for the shift
the need to serve the customers promptly, which contrast to the ‘speed over safety’
The participants (wave-2) noted that a restaurant who puts food safety first often makes
happy customers thus brings long-term profits.
Several factors for successful food safety management including
Managers being the role model and taking account of their actions.
Open communication and adequate on-site monitoring and retraining
1. Lashley et al., 2007
18. Department of Hospitality Management
College of Human Ecology
Implications
Comparing our findings with previous studies1, our results indicated that
1. Improving food safety management might require managers to be the role model for
the success
2. Managers must be physically to engage in activities that display skills, techniques,
commitment toward professional behaviors.
3. More hands-on training, and actively follow through employees after they return to
work.
4. Being able to monitor practices at work, is one of the critical elements needed to
improve the current food safety training programs and subject to future research.
1. Arendt et al., 2013; Song et al., 2010
19. Department of Hospitality Management
College of Human Ecology
Limitations
Circular analysis1
Common method bias
Not true longitudinal design
Social desirability
1. Nichols & Maner, 2008
The long-term objective is to increase food safety behaviors among foodservice workers.
Various correlational studies indicate that intentions predict behavior (Sheeran, 2002).
intention offers a superior prediction of behavior in correlational tests compared to other cognitions, including explicit and implicit attitudes, norms, self-efficacy, perceptions of risk and severity (Sheeran et al., 2014), and personality factors (Chiaburu et al., 2011).
The concept of nest-purposeful sampling is to focus on the select cases from a probability sample for the inquiry to be in-depth and validate previous samples (Mertens, 2014). For this study, a panel study was used during a five-month period; allowing three waves of purposeful sampling collection after each wave of analysis was completed. First, a representative sample of people (n=642; wave-1) with foodservice experience was surveyed to document their diversity and priorities based on behavioral constructs (Bock et al., 2005; Fishbein & Ajzen, 2011) and food safety knowledge (Roberts et al., 2008). Then respondents with the highest two behavioral constructs and with low food safety knowledge scores (n=263) were invited to participate in the qualitative data collection (wave-2) process by answering a set of open-ended questions. After reflecting and analyzing the open-ended questions, two key informants were identified and interviewed (wave-3). The sample size is considered sufficient following guidelines of Mertens (2014). This paper focuses on the qualitative part of the study discussion. The whole sampling process is illustrated in Figure 1.
Konecnik & Gartner, 2007
Konecnik & Gartner, 2007
Overall, is 0.282 (95% [Cl]=0.205 to 0.356, p<0.001).
either a poor predictor (Lin & Roberts, 2017) or strong indicator of intended food safety behavior (Campell et al., 1998; Egan et al. 2007; McEachan et al., 2011).
Segmentation provides a mechanism to facilitate abduction by surfacing anomalies, which must then be confronted and resolved theoretically.
Anomalies = not normal
Abduction = Charles Sanders Peirce
19 sub-themes are presented in Figure
The three core themes are busyness, role model, and retraining.
either a poor predictor (Lin & Roberts, 2017) or strong indicator of intended food safety behavior (Campell et al., 1998; Egan et al. 2007; McEachan et al., 2011).
Segmentation provides a mechanism to facilitate abduction by surfacing anomalies, which must then be confronted and resolved theoretically.
Anomalies = not normal
Abduction = Charles Sanders Peirce
either a poor predictor (Lin & Roberts, 2017) or strong indicator of intended food safety behavior (Campell et al., 1998; Egan et al. 2007; McEachan et al., 2011).
Segmentation provides a mechanism to facilitate abduction by surfacing anomalies, which must then be confronted and resolved theoretically.
Anomalies = not normal
Abduction = Charles Sanders Peirce
either a poor predictor (Lin & Roberts, 2017) or strong indicator of intended food safety behavior (Campell et al., 1998; Egan et al. 2007; McEachan et al., 2011).
Segmentation provides a mechanism to facilitate abduction by surfacing anomalies, which must then be confronted and resolved theoretically.
Anomalies = not normal
Abduction = Charles Sanders Peirce
Contracted to the popular business model that puts speed over safety (Lashley et al., 2007),
Contracted to the popular business model that puts speed over safety (Lashley et al., 2007),
Future researchers are encouraged to examine the heterogeneous nature of tourists using group-level measurement with data collected other than English-language survey.
Use more studies with stronger measurements, which can, in turn, help with analytical precision and reducing bias.