IDEAS home Printed from https://ideas.repec.org/a/ids/ijmpra/v13y2020i6p713-737.html
   My bibliography  Save this article

A new template for identifying the best training and development practices in an automotive industrial cluster: an Indian case study

Author

Listed:
  • N.R. Aravamudhan
  • R. Krishnaveni

Abstract

Any study focusing on identifying the best practices in training and development, in particular is fraught with critical challenges. Part of the challenge in identifying the best practices in training and development is that the field is devoid of any serious empirical research. Most of the material available in the public domain is descriptive, primed on case studies or anecdotal narratives to support the authors' claims. A reliable method for identifying the best practices in training and development in the industrial cluster is still uncharted terrain. Hitherto, the research studies focused solely on individual companies. The extant literature revealed that there is an abject lack of empirical research focusing on devising a reliable method for identifying the best practices in training and development in industrial clusters. This purported gap in the training literature provided the impetus to devise a new template for identifying the best training and development practices in an automotive industrial cluster. The study straddling three phases namely diagnosis, assessment, and identification will help firms identify the best training and development practices.

Suggested Citation

  • N.R. Aravamudhan & R. Krishnaveni, 2020. "A new template for identifying the best training and development practices in an automotive industrial cluster: an Indian case study," International Journal of Management Practice, Inderscience Enterprises Ltd, vol. 13(6), pages 713-737.
    • Handle: RePEc:ids:ijmpra:v:13:y:2020:i:6:p:713-737
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=110692
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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:ids:ijmpra:v:13:y:2020:i:6:p:713-737. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=91 .

    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.