IDEAS home Printed from https://ideas.repec.org/a/src/jbsree/v4y2018i2p173-184.html
   My bibliography  Save this article

An Empirical Study of Managers’ Intention to Hire Older Workers

Author

Listed:
  • Laua, Claudia
  • Keongb, Choong Chee
  • Luenc, Wong Kee

Abstract

The study tested a modified Theory of Planned Behaviour model with an added variable of past experience to predict managers’ intention to hire older workers. Surveyed locations were the western coast of Peninsular Malaysia. A cross-sectional data was collected via personal administered questionnaires surveys (n=468). A response rate of 78% (M=59.6%; F=40.4%) was recorded. Models and hypotheses testing were performed using SEM-PLS.Values from internal consistency reliability tests indicated all values were accepted and demonstrated a high level of reliability. Convergent and discriminant validities were well established. Both tolerance and VIF values suggested no potential collinearity problem. The modified model accounted R2=0.377. The findings suggested that the antecedents and intention were related and that the 3 hypotheses (H1, H2, and H3) were supported.The empirical result derived is expected to bring awareness to business organizations on the benefits of a diversified workforce, a better understanding on the effects of attitudes, subjective norms and past experience on managers’ intention when hiring older workers. Relevant public policy makers are able to, from the outcome of the study, formulate and implement workplace good practices to help prolong older workers work life, which in turn would greatly relief the Government from financial burden due to unemployed older workers. In addition, the result further encourages more future research to enrich the body of knowledge of Malaysian research literature on ageing workforce.&

Suggested Citation

  • Laua, Claudia & Keongb, Choong Chee & Luenc, Wong Kee, 2018. "An Empirical Study of Managers’ Intention to Hire Older Workers," Journal of Business and Social Review in Emerging Economies, CSRC Publishing, Center for Sustainability Research and Consultancy Pakistan, vol. 4(2), pages 173-184, December.
  • Handle: RePEc:src:jbsree:v:4:y:2018:i:2:p:173-184
    DOI: http://doi.org/10.26710/jbsee.v4i2.506
    as

    Download full text from publisher

    File URL: https://publishing.globalcsrc.org/ojs/index.php/jbsee/article/view/506/511
    Download Restriction: no

    File URL: https://libkey.io/http://doi.org/10.26710/jbsee.v4i2.506?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
    ---><---

    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:src:jbsree:v:4:y:2018:i:2:p:173-184. 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: Prof. Dr. Ghulam Shabir (email available below). General contact details of provider: https://edirc.repec.org/data/csrcmpk.html .

    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.