IDEAS home Printed from https://ideas.repec.org/a/taf/reroxx/v37y2024i1p2264945.html
   My bibliography  Save this article

The impact of corporate social responsibility on organizational performance with the mediating role of employee engagement and green innovation: evidence from the Malaysian banking sector

Author

Listed:
  • Xu Meng
  • Muhammad Imran

Abstract

This study aims to examine the direct and indirect effects of corporate social responsibility (CSR) on organizational performance (OP) through the mediating role of employee engagement (EE) and green innovation (GI) in the Malaysian banking sector. Moreover, this study was conducted to empirically investigate a sample of 550 employees affiliated with eight banks in Kuala Lumpur, Malaysia. The research employed the Partial Least Squares Path Modelling (PLS-SEM) technique to obtain the intended results. The findings of this research demonstrate that CSR has a positive and significant impact on OP, EE, and GI. Furthermore, EE is also significantly correlated with OP, while GI is not significantly correlated with OP. On the other hand, EE mediates the relationship between CSR and OP, while the mediating role of GI was not found. This study highlights the importance of CSR programs in promoting EE and encouraging GI. Ultimately, these initiatives affect organizational performance within the banking sector. This study makes a theoretical contribution by investigating the mediating impacts of EE and GI on the relationship between CSR and OP within the banking sector. Moreover, these findings benefit future researchers interested in exploring the banking sector’s performance.

Suggested Citation

  • Xu Meng & Muhammad Imran, 2024. "The impact of corporate social responsibility on organizational performance with the mediating role of employee engagement and green innovation: evidence from the Malaysian banking sector," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 37(1), pages 2264945-226, January.
  • Handle: RePEc:taf:reroxx:v:37:y:2024:i:1:p:2264945
    DOI: 10.1080/1331677X.2023.2264945
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1331677X.2023.2264945
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/1331677X.2023.2264945?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.

    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:reroxx:v:37:y:2024:i:1:p:2264945. 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://www.tandfonline.com/rero .

    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.