IDEAS home Printed from https://ideas.repec.org/a/igg/jsds00/v8y2017i3p120-131.html
   My bibliography  Save this article

Human Resource Planning as a Strategic Function: Biases in Forecasting Judgement

Author

Listed:
  • Jatinder Kumar Jha

    (XLRI-Xavier School of Management, Jamshedpur, India)

  • Manjari Singh

    (Indian Institute of Management Ahmedabad, Gujarat, India)

Abstract

This paper explores the strategic importance of human resource (HR) planning and the various techniques employed by organizations to attract talent and thus to gain a competitive edge. In this paper, the authors have tried to explore the various biases that come into play when supervisors forecast for human resources. Backed by research, the paper recommends the integration of line managers with HR managers and their participations in strategic planning to enable the HR managers to gain valuable insights for HR planning. The paper further suggests that though biases cannot be ruled out completely but they can be controlled by providing relevant training to the HR and line managers to forecast dynamics. Further, the judgement of the line managers could be complemented with other forecasting techniques to make the process more reliable.

Suggested Citation

  • Jatinder Kumar Jha & Manjari Singh, 2017. "Human Resource Planning as a Strategic Function: Biases in Forecasting Judgement," International Journal of Strategic Decision Sciences (IJSDS), IGI Global, vol. 8(3), pages 120-131, July.
    • Handle: RePEc:igg:jsds00:v:8:y:2017:i:3:p:120-131
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSDS.2017070106
    Download Restriction: no
    ---><---

    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:igg:jsds00:v:8:y:2017:i:3:p:120-131. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.