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Cited by 351

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Hotel employee job crafting, burnout, and satisfaction: The moderating role of perceived organizational support

Cheng, Jui-Chang, O-Yang, Yi·2018·International Journal of Hospitality Management

Abstract

Abstract Given the pivotal role of job crafting in the hospitality industry, this study investigates the relationship of job crafting to job satisfaction and the mediating effect of job burnout along with the moderating effect of perceived organizational support. Survey data from 355 frontline hotel employees in Taiwan show job crafting is positively related to job satisfaction, while job burnout negatively mediates the relationship between job crafting and job satisfaction. Furthermore, perceived organizational support moderates the relationships among job crafting, burnout, and satisfaction. These findings suggest courses of action for human resource managers as well as future research directions.

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Crossref · 10.1016/j.ijhm.2018.01.005

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Metadata

Authors
Cheng, J.-C., & O-Yang, Y.
Venue
International Journal of Hospitality Management
Publisher
Elsevier BV
Published
2018-06
Volume
72
Pages
78-85
ISSN
0278-4319 (ISSN-L)
OpenAlex
W2790491950
Cited by
351
References
16
FWCI
46.93
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Hotel employee job crafting, burnout, and satisfaction: The moderating role of perceived organizational support. https://app.cochat.ai/papers/10.1016/j.ijhm.2018.01.005
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Cheng, J.-C., & O-Yang, Y. (2018). Hotel employee job crafting, burnout, and satisfaction: The moderating role of perceived organizational support. International Journal of Hospitality Management. https://doi.org/10.1016/j.ijhm.2018.01.005

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.