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Cited by 311

The DOI matches its Crossref record; 79 of the 79 references it cites were found in a registry or an index.

Impact of Job Burnout on Satisfaction and Turnover Intention: Do Generational Differences Matter?

Lu, Allan Cheng Chieh, Gursoy, Dogan·2016·Journal of Hospitality & Tourism Research

Abstract

This study examines possible moderating effects of generational differences (Baby Boomers, Generation X, Millennials) on the relationship between job burnout (emotional exhaustion, cynicism, reduced professional efficacy) and employee satisfaction and turnover intention, as well as its moderating effects on the relationship between employee satisfaction and turnover intention using data collected from employees of a midscale chain hotel. Findings indicate that generational differences between Baby Boomers and Millennials have significant moderating effects on the relationship between emotional exhaustion and job satisfaction and turnover intention, and on the relationship between job satisfaction and turnover intention.

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Crossref · 10.1177/1096348013495696

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Metadata

Authors
Lu, A. C. C., & Gursoy, D.
Venue
Journal of Hospitality & Tourism Research
Published
2013-07-15
Volume
40
Issue
2
Pages
210-235
ISSN
  • 0741-5095 (ISSN-L)
  • 1096-3480
  • 1557-7554
OpenAlex
W1972932980
Cited by
311
References
79
FWCI
8.05
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Impact of Job Burnout on Satisfaction and Turnover Intention: Do Generational Differences Matter? https://app.cochat.ai/papers/10.1177/1096348013495696
The paper
Lu, A. C. C., & Gursoy, D. (2016). Impact of Job Burnout on Satisfaction and Turnover Intention: Do Generational Differences Matter? Journal of Hospitality & Tourism Research. https://doi.org/10.1177/1096348013495696

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.