IDEAS home Printed from https://ideas.repec.org/a/ids/ijicbm/v2y2009i3p233-246.html
   My bibliography  Save this article

Organisational culture and environmental responsibility: a study of textile industry in India

Author

Listed:
  • Sudhi Ranjan Dash
  • Kanika T. Bhal
  • Jitarani Udgata

Abstract

The Corporate Social Responsibility principle is mainly concerned with the accountability of organisations towards all its stakeholders. In this article, we assess the culture of the organisations and correlate it with their level of environmental responsibility. We have analysed the organisational culture and environmental responsibility of the sample organisations. By matching the Environmental Performance and Environmental Responsiveness of organisations with their environmental responsibility (BOD level and Technology) in a matrix form. We found four types of matching. Those which have low culture and low environmental responsibility are called low matching, with high culture and low environmental responsibility are called facade, with high environmental responsibility and high culture are called high matching and at last those with high environmental responsibility and low culture are called disconnect type. The results highlight the importance of matching the measures of Environmental Responsiveness (ER; technology and BOD level) with the beliefs of people (culture) to assess the organisational position on ER, that could vary from committed to facade (only talk) to disconnect (responsiveness as an administrative/procedural issue). We conclude that the culture of an organisation influences its policy and strategy for protecting the environmental pollution.

Suggested Citation

  • Sudhi Ranjan Dash & Kanika T. Bhal & Jitarani Udgata, 2009. "Organisational culture and environmental responsibility: a study of textile industry in India," International Journal of Indian Culture and Business Management, Inderscience Enterprises Ltd, vol. 2(3), pages 233-246.
  • Handle: RePEc:ids:ijicbm:v:2:y:2009:i:3:p:233-246
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=23546
    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. Lixin Shen & Kannan Govindan & Madan Shankar, 2015. "Evaluation of Barriers of Corporate Social Responsibility Using an Analytical Hierarchy Process under a Fuzzy Environment—A Textile Case," Sustainability, MDPI, vol. 7(3), pages 1-22, 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:ijicbm:v:2:y:2009:i:3:p:233-246. 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=235 .

    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.