MURAL - Maynooth University Research Archive Library



    Investigating the relationship between person–environment fit and safety behavior: A social cognition perspective


    Wang, Dawei and Zong, Zhaobiao and Mao, Wenxu and Wang, Li and Maguire, Phil and Hu, Yixin (2021) Investigating the relationship between person–environment fit and safety behavior: A social cognition perspective. Journal of Safety Research, 79. pp. 100-109. ISSN 0022-4375

    [img]
    Preview
    Download (623kB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    Introduction: This study explored the relationship between person–job fit and safety behavior, as well as the mediating role played by psychological safety, from the perspective of social cognitive theory and person–environment fit theory. Method: A total of 800 employees from petroleum enterprises were recruited, with cluster random sampling used to collect data in two stages. Results: The results showed that employees’ safety behavior is higher under the condition of ‘‘high person–job fit—high person–organization fit” than under that of ‘‘low person–job fit—low person–organization fit.” In other words, the more congruent the level of person–job fit and person–organization fit for a given employee, the higher their level of safety behavior. Practical Applications: Psychological safety plays a mediating role between the congruence of both person–job fit and person–organization fit and employees’ safety behavior.

    Item Type: Article
    Additional Information: Cite as: awei Wang, Zhaobiao Zong, Wenxu Mao, Li Wang, Phil Maguire, Yixin Hu, Investigating the relationship between person–environment fit and safety behavior: A social cognition perspective, Journal of Safety Research, Volume 79, 2021, Pages 100-109, ISSN 0022-4375, https://doi.org/10.1016/j.jsr.2021.08.010.
    Keywords: Person–job fit; Person–organization fit; Safety behavior; Psychological safety; Polynomial regression;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 17470
    Identification Number: https://doi.org/10.1016/j.jsr.2021.08.010
    Depositing User: Phil Maguire
    Date Deposited: 31 Aug 2023 10:00
    Journal or Publication Title: Journal of Safety Research
    Publisher: Science Direct
    Refereed: Yes
    URI:
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads