IDEAS home Printed from https://ideas.repec.org/a/rfe/zbefri/v29y2011i1p133-153.html
   My bibliography  Save this article

Factors which cause enterprises to invest in training. The Spanish case

Author

Listed:
  • Rosa Maria Munoz Castellanos

    (University of Castilla-La Mancha, Faculty of Law and Social Sciences, Toledo, Spain)

  • Maria Yolanda Salinero Martin

    (University of Castilla-La Mancha, Faculty of Law and Social Sciences, Toledo, Spain)

Abstract

The purpose of this study is to detect which variables influence a business when deciding whether or not to invest in the training of its employees. We pay attention to this practice because, as many previous studies suggest, it leads to an increase in worker productivity and because investment in training activities is a manner by which to increase the inimitability of human resources. A Binomial Logit Model is applied to a sample of 94 Spanish businesses from various sectors. The results have allowed us to confirm that businesses following the Porter differentiation strategy invest more in training. We have also reached the conclusion that companies with high percentage of temporary workers do not tend to set up training programmes.

Suggested Citation

  • Rosa Maria Munoz Castellanos & Maria Yolanda Salinero Martin, 2011. "Factors which cause enterprises to invest in training. The Spanish case," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 29(1), pages 133-153.
  • Handle: RePEc:rfe:zbefri:v:29:y:2011:i:1:p:133-153
    as

    Download full text from publisher

    File URL: https://www.efri.uniri.hr/sites/efri.hr/files/cr-collections/2/06-castellanos-2011-1.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. מחקר - ביטוח לאומי, 1900. "ביטוח סיעוד," Working Papers 745, National Insurance Institute of Israel.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      More about this item

      Keywords

      human resources; training; strategy; differentiation; temporary workers;
      All these keywords.

      JEL classification:

      • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
      • M5 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics
      • M53 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Training

      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:rfe:zbefri:v:29:y:2011:i:1:p:133-153. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Danijela Ujcic (email available below). General contact details of provider: https://edirc.repec.org/data/efrijhr.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.