Open Access iconOpen Access

ARTICLE

crossmark

Do Personality Variables Predict Job Embeddedness and Proclivity to Be Absent from Work?

Rashin Kaviti, Osman M. Karatepe*

Faculty of Tourism, Eastern Mediterranean University, TRNC, Gazimagusa, Via Mersin 10, 99628, Turkey

* Corresponding Author: Osman M. Karatepe. Email: email

International Journal of Mental Health Promotion 2022, 24(3), 331-345. https://doi.org/10.32604/ijmhp.2022.018516

Abstract

The current knowledge base lacks evidence about situational- and surface-level personality variables and their impacts on job embeddedness and proclivity to be absent from work. With this recognition, drawing from the hierarchical personality model and fit theory as well as job embeddedness theory, our paper explores the influences of job resourcefulness (JR) and customer orientation (CO) on job embeddedness and propensity to be absent from work. We tapped time-lagged data gathered from hotel customer-contact employees in the United Arab Emirates to assess the aforementioned linkages via structural equation modeling. CO is a complete mediator between JR and job embeddedness, while job embeddedness completely mediates the linkage between CO and absence intentions. Specifically, hotel employees who can work under a resource-depleted environment are high on CO and therefore display job embeddedness at elevated levels. In addition, customer-oriented hotel employees have higher job embeddedness and therefore exhibit lower absence intentions.

Keywords


Cite This Article

APA Style
Kaviti, R., Karatepe, O.M. (2022). Do personality variables predict job embeddedness and proclivity to be absent from work?. International Journal of Mental Health Promotion, 24(3), 331-345. https://doi.org/10.32604/ijmhp.2022.018516
Vancouver Style
Kaviti R, Karatepe OM. Do personality variables predict job embeddedness and proclivity to be absent from work?. Int J Ment Health Promot. 2022;24(3):331-345 https://doi.org/10.32604/ijmhp.2022.018516
IEEE Style
R. Kaviti and O.M. Karatepe, “Do Personality Variables Predict Job Embeddedness and Proclivity to Be Absent from Work?,” Int. J. Ment. Health Promot., vol. 24, no. 3, pp. 331-345, 2022. https://doi.org/10.32604/ijmhp.2022.018516



cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 1854

    View

  • 1218

    Download

  • 0

    Like

Share Link