Artikel

Hospitality industry employees' intention to stay in their job after the COVID-19 pandemic

The COVID-19 pandemic had a devastating effect on the tourism and hospitality industries in Taiwan, causing some small companies to cease trading and large companies to place their employees on unpaid leave. Placing employees on unpaid leave may have negatively affected the intention of hospitality employees to remain in their jobs. This study examined whether employees' job insecurity and organizational identification affected their intention to stay in their job during the COVID-19 pandemic. Previously developed scales were adopted to develop items measuring job insecurity, organizational identification, and intention to stay in a job. Responses to 515 returned questionnaires were examined. The results revealed that job insecurity significantly affects organizational identification. Both job insecurity and organizational identification significantly affected intention to stay. Few studies have used path analyses to investigate the relationships among intention to stay, job insecurity, and organizational identification. The indirect effect of organizational identification was analyzed, and evidence supporting a total effect and total indirect effect was obtained. This implies that hospitality companies seeking to retain staff during crises should promote organizational identification among staff.

Language
Englisch

Bibliographic citation
Journal: Administrative Sciences ; ISSN: 2076-3387 ; Volume: 11 ; Year: 2021 ; Issue: 4 ; Pages: 1-10

Classification
Öffentliche Verwaltung
Subject
hospitality industry
intention to stay
job insecurity
organizational identification

Event
Geistige Schöpfung
(who)
Chen, Chien-liang
Chen, Mei-Hui
Event
Veröffentlichung
(who)
MDPI
(where)
Basel
(when)
2021

DOI
doi:10.3390/admsci11040144
Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Chen, Chien-liang
  • Chen, Mei-Hui
  • MDPI

Time of origin

  • 2021

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