Collecting Repeated Data Over Time: Applying Experience Sampling Methodology to the Hospitality Management Context

Abstract

While organizational and management research has implemented the use of experience sampling methods (ESM), hospitality management research has yet to reap the benefits of this method and design. ESM involves collecting data at several time points from participants as they experience organizational phenomena, measuring the variations and oscillations in attitudes, behaviors, and performance. This article seeks to define ESM for hospitality research, highlight the strengths, outline the challenges of ESM, and offer best practices by using ESM data from three hospitality industry examples. Each example compares cross-sectional data collection methods and analyses to ESM data collection methods and analyses to compare the different results of the data collection methods.

The Relationship between Headmaster's Leadership Style and Teacher Motivation in Primary Schools in Alor Gajah District, Melaka

“…The researcher must ensure the data is collected completely, ethically, and legally. If the data is not collected completely, ethically, and legally then it will not be real and can face deep effects (Yu et al, 2021). There are five ways of collecting data interviewing, questionnaires and surveys, observation, records and documents, focus on groups, and oral histories.…”

“…There are two types of data collection methods primary and secondary data collection methods. Based on that, the methodology research on data collection method can be qualitative, quantitative, and mixed (Yu et al, 2021). Here, the researcher was seen to have used the primary qualitative data collection method.…”

“…He also generalised the results from a big selection population. The researcher interviewed a selected number of participants (Yu et al, 2021). This helped the researcher analyse what kind of leadership style the head teachers followed and what issues the teachers were facing when applied.…”

The Implications of Research Methodologies for Hospitality Practitioners in an Age of Consumer and Data Complexity

“…The first two papers, contributed by Lee, Madera, and colleagues, focus on the collection of data. Specifically, Yu et al (2021) examine the use of experience sampling methods (ESMs) that use multiple points of data collection to gauge the assessment of a given hospitality experience. This method is posited as an alternative to the more traditional method of collecting cross-sectional quantitative data, which is often based on participant recall.…”

Unraveling the impact of customer mistreatment on highway toll collectors’ turnover intentions: the roles of stress symptoms, affective commitment, and neuroticism

“…Nevertheless, affective events theory ( Weiss and Cropanzano, 1996 ), serving as a fundamental framework, has elucidated the influence of workplace incidents (i.e., customer mistreatment) on employees’ attitudinal and behavioral outcomes by acting as triggers for their affective responses ( Koopmann et al, 2015 ; Wu et al, 2023 ), but has not been addressed in the context of explicating the relationship between customer mistreatment and employee turnover intention. On the other hand, it is a common phenomenon for service employees to experience higher frequencies of turnover intention than employees who perform standard work due to dealing with different guest issues on a daily basis ( Olugbade and Karatepe, 2019 ; Yu et al, 2021 ), especially for those who are required to work in shifts ( Shi et al, 2021 ), such as highway toll collectors, an ubiquitous yet overlooked group. Hence, this research endeavors to investigate the influence of customer mistreatment on turnover intention among highway toll collectors employing the theoretical framework of affective events.…”