Academic Person-Environment Fit towards Sustainable Work-Life Balance and Reduced Turnover Intention Moderated by Job Opportunities
Roselina Ahmad Saufi,
Noorshella Binti Che Nawi,
P. Yukthamarani Permarupan,
Noor Raihani Binti Zainol,
Samsidine Aidara (),
Abdul Samad Kakar and
Braveena A/P Jothi
Additional contact information
Roselina Ahmad Saufi: Malaysian Graduate School of Entrepreneurship and Business, Universiti Malaysia Kelantan, Kota Bharu 16100, Malaysia
Noorshella Binti Che Nawi: Faculty of Entrepreneurship and Business, Universiti Malaysia Kelantan, Kota Bharu 16100, Malaysia
P. Yukthamarani Permarupan: Malaysian Graduate School of Entrepreneurship and Business, Universiti Malaysia Kelantan, Kota Bharu 16100, Malaysia
Noor Raihani Binti Zainol: Faculty of Entrepreneurship and Business, Universiti Malaysia Kelantan, Kota Bharu 16100, Malaysia
Samsidine Aidara: Faculty of Entrepreneurship and Business, Universiti Malaysia Kelantan, Kota Bharu 16100, Malaysia
Abdul Samad Kakar: Department of Management Sciences, University of Loralai, Loralai 84800, Pakistan
Braveena A/P Jothi: Faculty of Entrepreneurship and Business, Universiti Malaysia Kelantan, Kota Bharu 16100, Malaysia
Sustainability, 2023, vol. 15, issue 4, 1-15
Abstract:
Retaining and maintaining adequate academic talents are the primary discourse topic among corporate executives and human resource specialists. Academic institutions are struggling to attract and retain top talents due to the increasing academic turnover in the educational field. Furthermore, lifestyle transformation has impacted the human resource environment, which focuses on developing alternative values, achieving work–life balance, and performing successful retention strategies. To achieve a sustainable work–life balance practice, the current study aims to examine the relationship between the academic human resource strategy and person–environment fit aspects mediated by sustainable work–life balance and moderated by external job opportunities. The theoretical foundations are the theory of work adjustment and social exchange theory. A cross-sectional research methodology was implemented to collect data from 466 participants through an online survey. Partial least squares structural equation modelling (PLS-SEM) was subsequently conducted to analyse the collected data. The study results revealed that person-organisation fit and person-vocational fit significantly influenced employees’ turnover intention. Furthermore, sustainable work–life balance was not only significantly related employees’ turnover intention, but also significantly mediated the relationship between person–environment fit dimensions and employees’ turnover intention. The findings also discovered that job opportunities significantly moderated the association between sustainable work–life balance and turnover intention. Resultantly, the current study’s thorough retention strategy model could be highly beneficial to the human resource industry, decision-makers, and educational management in developing an effective recruitment and retention plan.
Keywords: person–environment fit; person–job fit; person–organisation fit; person–vocational fit; job opportunity; work–life balance; turnover intention (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/2071-1050/15/4/3397/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/4/3397/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:4:p:3397-:d:1066610
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().