IDEAS home Printed from https://ideas.repec.org/a/taf/oabmxx/v6y2019i1p1664204.html
   My bibliography  Save this article

High-performance work systems and job engagement: The mediating role of psychological empowerment

Author

Listed:
  • Md. Shamsul Arefin
  • Md. Shariful Alam
  • Md. Rakibul Islam
  • Munmun Rahaman

Abstract

Drawing on the social exchange theory, this study aimed to investigate the mediating role of psychological empowerment in the relationship between high-performance work systems and job engagement. Data collected from 287 employees in a large manufacturing organization was analyzed using structural equation modeling and hierarchical regression analysis. The results showed that perceived high-performance work systems and psychological empowerment positively influenced job engagement. The results of the study also revealed that psychological empowerment mediated the influence of high-performance work systems on job engagement. The results further suggest that organizational human resources systems impact job engagement through psychological empowerment. The theoretical contribution and managerial implications have been thoroughly discussed in this paper.

Suggested Citation

  • Md. Shamsul Arefin & Md. Shariful Alam & Md. Rakibul Islam & Munmun Rahaman, 2019. "High-performance work systems and job engagement: The mediating role of psychological empowerment," Cogent Business & Management, Taylor & Francis Journals, vol. 6(1), pages 1664204-166, January.
    • Handle: RePEc:taf:oabmxx:v:6:y:2019:i:1:p:1664204
    DOI: 10.1080/23311975.2019.1664204
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23311975.2019.1664204
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/23311975.2019.1664204?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ke Zhang & Shunmin Wang & Yuanyu Yu, 2023. "A TBGAV-Based Image-Text Multimodal Sentiment Analysis Method for Tourism Reviews," International Journal of Information Technology and Web Engineering (IJITWE), IGI Global, vol. 18(1), pages 1-17, January.
    2. Sheikh Muhamad Hizam & Habiba Akter & Ilham Sentosa & Waqas Ahmed & Mohamad Noorman Masrek & Jawad Ali, 2023. "Predicting Workforce Engagement towards Digital Transformation through a Multi-Analytical Approach," Sustainability, MDPI, vol. 15(8), pages 1-22, April.
    3. Juan A. Marin-Garcia & Tomas Bonavia, 2021. "Empowerment and Employee Well-Being: A Mediation Analysis Study," IJERPH, MDPI, vol. 18(11), pages 1-22, May.
    4. Sunwang Kim & Jimin Kwon & Dongil Jung, 2023. "Going beyond the firm perspective: what do employees think of high-performance work systems (HPWS)?," Asian Business & Management, Palgrave Macmillan, vol. 22(5), pages 2106-2134, November.
    5. Emmanuel Oppong Peprah, 2020. "The Impact Of High-Performance Work Systems On Employee Engagement: The Moderating Role Of Organizational Justice," Business Excellence and Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 10(4), pages 5-22, December.
    6. Anuradha Iddagoda & Hiranya Dissanayake, 2022. "The Intervening Effect Of Employee Engagement On The Relationship Between High Performance Work Practices And Employee Job Performance," Three Seas Economic Journal, Publishing house "Baltija Publishing", vol. 3(2).
    7. Petrus Maasalo & Henri Teittinen, 2023. "A conceptual framework for exploring management control style within psychological empowerment," International Journal of Business and Management, International Institute of Social and Economic Sciences, vol. 11(1), pages 1-18, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:oabmxx:v:6:y:2019:i:1:p:1664204. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://cogentoa.tandfonline.com/OABM20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.