IDEAS home Printed from https://ideas.repec.org/a/eme/ijmpps/ijm-09-2016-0171.html
   My bibliography  Save this article

High commitment human resource practices and employee behavior: a multi-level analysis

Author

Listed:
  • Jungmin Nam
  • Hwansoo Lee

Abstract

Purpose - The purpose of this paper is to examine the relationship between high commitment human resource practices (HCHRPs), conceptualized at the workplace level and employees’ attitudes, including affective commitment (AC) and turnover intention (TI). The study also tests the moderating role of cooperative labor–management relations (CLMR) between HCHRPs and organizational trust (OT). Design/methodology/approach - Based on social exchange theory and trust commitment theory, the authors build a research model that explains employee behavior and empirically prove the model by using samples of 407 employees from South Korea. This study uses hierarchical linear regression and cross-level hypotheses based on hierarchical linear modeling. Findings - The results demonstrate the positive impact of HCHRPs on an AC and TI, through OT. However, no moderating effect of CLMR between human resource management (HRM) practices and OT is observed. Originality/value - Few theory-based studies test the direct linkage between HRM practices and outcomes. This study is designed with a multi-level research method to provide a conceptually comprehensive and deeper understanding of how HRM practices work in an organization by testing the relationship between organizational practices and employees’ outcomes.

Suggested Citation

  • Jungmin Nam & Hwansoo Lee, 2018. "High commitment human resource practices and employee behavior: a multi-level analysis," International Journal of Manpower, Emerald Group Publishing Limited, vol. 39(5), pages 674-686, August.
  • Handle: RePEc:eme:ijmpps:ijm-09-2016-0171
    DOI: 10.1108/IJM-09-2016-0171
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/IJM-09-2016-0171/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/IJM-09-2016-0171/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1108/IJM-09-2016-0171?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.

    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:eme:ijmpps:ijm-09-2016-0171. 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: Emerald Support (email available below). General contact details of provider: .

    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.