IDEAS home Printed from https://ideas.repec.org/a/ids/ijsoma/v38y2021i1p92-109.html
   My bibliography  Save this article

Factors predicting employee engagement in Indian manufacturing sector

Author

Listed:
  • Sasmita Choudhury
  • A.K. Das Mohapatra
  • Manoj Kumar Mohanty

Abstract

Employee engagement is associated with many desirable outcomes such as job satisfaction, intention to stay, high productivity, job performance and customer satisfaction. Engaged employees over time become more creative, sensitive, productive and contribute from their heart, which can create significant difference to the organisational goal and objective. The promising Indian economy expecting 25% of India's GDP and 100 million jobs by 2022 from manufacturing sector with the help of effective policies created and monitored by government authorities. This calls for a special focus on manufacturing sector and to trace the attributes which are predicting the employee engagement, so that organisations can formulate proper plans and policies to ensure retention and increase in engagement level. This study witnessed organisation and work culture, job profile and accountability, compensation and benefits, resources at work, caring attitude of organisation and communication are the principal factors which govern employee engagement in manufacturing sector.

Suggested Citation

  • Sasmita Choudhury & A.K. Das Mohapatra & Manoj Kumar Mohanty, 2021. "Factors predicting employee engagement in Indian manufacturing sector," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 38(1), pages 92-109.
  • Handle: RePEc:ids:ijsoma:v:38:y:2021:i:1:p:92-109
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=112520
    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:ijsoma:v:38:y:2021:i:1:p:92-109. 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=150 .

    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.