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Uncovering the hidden intangible factors of hotel employees’ turnover intention during covid phenomenon

The extant literature on hospitality and human resource management has not yet uncovered the hidden intangible chain of employee turnover intention, particularly in the hotel context. A theoretical framework was developed by applying the tenets of the theory of planned behaviour, social cognitive th...

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Main Authors: Chaichi, Kamelia, Zawawi, Dahlia, Abdul Aziz, Yuhanis, Leong, Mei Kei
Format: Article
Language:English
Published: Sage Publications India Pvt. Ltd 2024
Online Access:http://psasir.upm.edu.my/id/eprint/113429/1/113429.pdf
http://psasir.upm.edu.my/id/eprint/113429/
https://journals.sagepub.com/doi/10.1177/0258042X241244577
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spelling my.upm.eprints.1134292024-11-25T02:26:44Z http://psasir.upm.edu.my/id/eprint/113429/ Uncovering the hidden intangible factors of hotel employees’ turnover intention during covid phenomenon Chaichi, Kamelia Zawawi, Dahlia Abdul Aziz, Yuhanis Leong, Mei Kei The extant literature on hospitality and human resource management has not yet uncovered the hidden intangible chain of employee turnover intention, particularly in the hotel context. A theoretical framework was developed by applying the tenets of the theory of planned behaviour, social cognitive theory and the multi-dimensional commitment model. More specifically, this study investigated the impact of staff core personality (core confidence traits and core self-evaluation) on employees’ positive attitudes towards the organization, ultimately decreasing employee turnover intention. Further, the study scrutinized the moderating impact of organizational commitment dimensions in the extended model and the links that were missing in prior literature. It employed a self-administered survey and obtained 300 usable responses. The data were analysed through partial least squares structural equation modelling (PLS-SEM) software. The results revealed that all the core personality factors (CSE and core confidence traits, including resilience, hope and optimism) and self-efficacy significantly affect the staff’s positive attitude. Moreover, the study established the moderating impact of affective commitment and continuous commitment on the connection between attitude and employees’ intention to leave the organization. This article recommends several practices that hotel human resource managers can utilize to reduce employee turnover intention and upsurge the sustainability of the hotel industry. Sage Publications India Pvt. Ltd 2024 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/113429/1/113429.pdf Chaichi, Kamelia and Zawawi, Dahlia and Abdul Aziz, Yuhanis and Leong, Mei Kei (2024) Uncovering the hidden intangible factors of hotel employees’ turnover intention during covid phenomenon. Management and Labour Studies, 49 (4). pp. 590-614. ISSN 0258-042X; eISSN: 2321-0710 https://journals.sagepub.com/doi/10.1177/0258042X241244577 10.1177/0258042X241244577
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The extant literature on hospitality and human resource management has not yet uncovered the hidden intangible chain of employee turnover intention, particularly in the hotel context. A theoretical framework was developed by applying the tenets of the theory of planned behaviour, social cognitive theory and the multi-dimensional commitment model. More specifically, this study investigated the impact of staff core personality (core confidence traits and core self-evaluation) on employees’ positive attitudes towards the organization, ultimately decreasing employee turnover intention. Further, the study scrutinized the moderating impact of organizational commitment dimensions in the extended model and the links that were missing in prior literature. It employed a self-administered survey and obtained 300 usable responses. The data were analysed through partial least squares structural equation modelling (PLS-SEM) software. The results revealed that all the core personality factors (CSE and core confidence traits, including resilience, hope and optimism) and self-efficacy significantly affect the staff’s positive attitude. Moreover, the study established the moderating impact of affective commitment and continuous commitment on the connection between attitude and employees’ intention to leave the organization. This article recommends several practices that hotel human resource managers can utilize to reduce employee turnover intention and upsurge the sustainability of the hotel industry.
format Article
author Chaichi, Kamelia
Zawawi, Dahlia
Abdul Aziz, Yuhanis
Leong, Mei Kei
spellingShingle Chaichi, Kamelia
Zawawi, Dahlia
Abdul Aziz, Yuhanis
Leong, Mei Kei
Uncovering the hidden intangible factors of hotel employees’ turnover intention during covid phenomenon
author_facet Chaichi, Kamelia
Zawawi, Dahlia
Abdul Aziz, Yuhanis
Leong, Mei Kei
author_sort Chaichi, Kamelia
title Uncovering the hidden intangible factors of hotel employees’ turnover intention during covid phenomenon
title_short Uncovering the hidden intangible factors of hotel employees’ turnover intention during covid phenomenon
title_full Uncovering the hidden intangible factors of hotel employees’ turnover intention during covid phenomenon
title_fullStr Uncovering the hidden intangible factors of hotel employees’ turnover intention during covid phenomenon
title_full_unstemmed Uncovering the hidden intangible factors of hotel employees’ turnover intention during covid phenomenon
title_sort uncovering the hidden intangible factors of hotel employees’ turnover intention during covid phenomenon
publisher Sage Publications India Pvt. Ltd
publishDate 2024
url http://psasir.upm.edu.my/id/eprint/113429/1/113429.pdf
http://psasir.upm.edu.my/id/eprint/113429/
https://journals.sagepub.com/doi/10.1177/0258042X241244577
_version_ 1817844636315549696
score 13.244413

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