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

Authors :
Yu, Heyao
Lee, Lindsey
Madera, Juan M.
Source :
Cornell Hospitality Quarterly; Feb2021, Vol. 62 Issue 1, p62-75, 14p
Publication Year :
2021

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19389655
Volume :
62
Issue :
1
Database :
Complementary Index
Journal :
Cornell Hospitality Quarterly
Publication Type :
Academic Journal
Accession number :
147967436
Full Text :
https://doi.org/10.1177/1938965520961061