IDEAS home Printed from https://ideas.repec.org/a/ids/ijlsma/v40y2021i1p28-51.html
   My bibliography  Save this article

Determination of challenges and driving forces of green supply chain management in Indian manufacturing industries: a critical review

Author

Listed:
  • Kaibalya Ketan Nayak
  • Deepak Singhal
  • Sushanta Tripathy

Abstract

Environmental sustainability is emerging as a noticeable area for researchers over the last few decades. In the current scenario, green supply chain management (GSCM) is emerging as a key strategy which has the ability to diminish the negative impact on the environment and subsequently it gives economic benefits to industries. Primary objective of this research is to carry out a literature review on the field of GSCM in Indian manufacturing industries. Further, this research focuses on the illustration of the common challenges and driving forces of GSCM along with the status of GSCM in Indian manufacturing industries. A systematic analysis has been performed then open-ended questionnaire survey has been carried out to find the common challenges and driving forces of GSCM. The questionnaire was sent to 45 respondents, and in return, 24 responses were received which shows a response of 53.33%. This research investigates the challenges and driving forces of GSCM in various Indian manufacturing industries and discovered 22 common challenges and 15 common driving forces of GSCM. Classification of the critical challenges and critical driving forces may turn out to be an extremely valuable wellspring of data to the decision makers and researchers in their green practice usage programs.

Suggested Citation

  • Kaibalya Ketan Nayak & Deepak Singhal & Sushanta Tripathy, 2021. "Determination of challenges and driving forces of green supply chain management in Indian manufacturing industries: a critical review," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 40(1), pages 28-51.
  • Handle: RePEc:ids:ijlsma:v:40:y:2021:i:1:p:28-51
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=117692
    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. Saumyaranjan Sahoo & Arvind Upadhyay & Anil Kumar, 2023. "Circular economy practices and environmental performance: Analysing the role of big data analytics capability and responsible research and innovation," Business Strategy and the Environment, Wiley Blackwell, vol. 32(8), pages 6029-6046, December.

    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:ijlsma:v:40:y:2021:i:1:p:28-51. 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=134 .

    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.