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

Heyao Yu, Lindsey Lee, Juan M. Madera

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)62-75
Number of pages14
JournalCornell Hospitality Quarterly
Volume62
Issue number1
DOIs
StatePublished - Feb 2021

All Science Journal Classification (ASJC) codes

  • Tourism, Leisure and Hospitality Management

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