IDEAS home Printed from https://ideas.repec.org/a/ids/ijesbu/v16y2012i1p71-82.html
   My bibliography  Save this article

The retention of trained production workers in a small manufacturing company in Malaysia

Author

Listed:
  • Mohammad Iranmanesh
  • A.K. Siti-Nabiha
  • Maryam Sabbah

Abstract

This study aims to investigate the challenges faced by a small company in retaining its skilled low-wage labour in a highly competitive labour market in Malaysia. The data is based on the information obtained through interviews with the director and the employees of the company which were undertaken to find out the reasons trained low wage labours choose to resign from this company. The theory of constraint and Goldratt (1992) thinking process are utilised in analysing the case and finally in providing recommendation on how to address this problem. It was found that other companies paid higher salary and benefits to skilled production workers. In addition, the workers are dissatisfied with the working conditions in the company due to reasons such as high control policy of the company and miscommunication among staff. After being trained, the workers leave the company and went to work in other companies that provide higher payment and better, more flexible working conditions.

Suggested Citation

  • Mohammad Iranmanesh & A.K. Siti-Nabiha & Maryam Sabbah, 2012. "The retention of trained production workers in a small manufacturing company in Malaysia," International Journal of Entrepreneurship and Small Business, Inderscience Enterprises Ltd, vol. 16(1), pages 71-82.
    • Handle: RePEc:ids:ijesbu:v:16:y:2012:i:1:p:71-82
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=46918
    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Reza Esmaeilifar & Mohammad Iranmanesh & Mohd Wira Mohd Shafiei & Sunghyup Sean Hyun, 2020. "Effects of low carbon waste practices on job satisfaction of site managers through job stress," Review of Managerial Science, Springer, vol. 14(1), pages 115-136, February.
    2. Mohammad Iranmanesh & Suhaiza Zailani & Soroush Moeinzadeh & Davoud Nikbin, 2017. "Effect of green innovation on job satisfaction of electronic and electrical manufacturers’ employees through job intensity: personal innovativeness as moderator," Review of Managerial Science, Springer, vol. 11(2), pages 299-313, March.

    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:ijesbu:v:16:y:2012:i:1:p:71-82. 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=74 .

    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.