IDEAS home Printed from https://ideas.repec.org/a/sae/vision/v6y2002i1p33-40.html
   My bibliography  Save this article

Effective Human Resource Planning Using Quantitative Tools - A Suggestive Approach

Author

Listed:
  • Dipak Kumar Bhattacharyya

Abstract

Basic process of Human Resource Planning (HRP) is not only to compare present human resources to future needs but also to identify skill and competency gaps. Competency gap analysis helps to develop required competency in line with the organisational mission, vision and strategic objectives. HRP provides strategic basis for taking HR decisions, anticipating change. Of-late HRP has become an important enterprise-wide strategic function not only to achieve goals and objectives but also to sustain present level in organisations. Globally, skill shortages, competency gap, redundancies, downsizing, rightsizing are the major issues in today's organisations. The biggest problem for manpower or human resource redundancy lies with inadequate Human Resource Planning (HRP). To achieve any goal, manpower requirement needs to be assessed, located and harnessed. HRP is not mere assessment of number of men required. An organisation also has to categorise men as per their knowledge and skills and so also to ensure their balanced allocation. This study discusses the contemporary HRP process, without, however, discarding the importance of traditional processes altogether. Traditional processes, by and large follow logical sequence to study the job and then translate the job information into manpower requirement. Here, however, we have discussed the importance of application of some selected quantitative manpower planning models and then suggested their consideration for reducing the risk of inaccurate manpower planning. While doing so, some theoretical discussions with illustrations have been made deliberately to avoid any possible gap in understanding the models.

Suggested Citation

  • Dipak Kumar Bhattacharyya, 2002. "Effective Human Resource Planning Using Quantitative Tools - A Suggestive Approach," Vision, , vol. 6(1), pages 33-40, January.
  • Handle: RePEc:sae:vision:v:6:y:2002:i:1:p:33-40
    DOI: 10.1177/097226290200600104
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/097226290200600104
    Download Restriction: no

    File URL: https://libkey.io/10.1177/097226290200600104?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
    ---><---

    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:sae:vision:v:6:y:2002:i:1:p:33-40. 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: SAGE Publications (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.