IDEAS home Printed from https://ideas.repec.org/a/ids/ijlsma/v45y2023i1p50-66.html
   My bibliography  Save this article

Green supply chain management and operational performance: a study of controlled environmental agriculture in Sri Lanka

Author

Listed:
  • S.H.T. Kumudumali
  • Ravindra Hewa Kuruppuge
  • Hotniar Siringoringo

Abstract

The present study aims to evaluate the influence of green supply chain management (GSCM) practices on operational performance (OPP) in a control environmental agriculture (CEA). A mixed methodology was used for data collection. The inductive approach was based on data collected using the five most successful respondents in CEA. The deductive approach was based on the data collected through 275 farmers who engaged in CEA in Badulla District in Sri Lanka. The data was analysed using the content analysis method and the structural equation modelling (SEM). Based on content analysis, experience, family support, knowledge and knowledge sharing, and green practices were the most frequently mentioned by farmers as their indicators of operational performance. Results showed the influence of the GSCM practices (GSCMPs) leads to increases the cost savings, improve the quality of products, improve delivery time, and improve the adaptability of change from one product to another.

Suggested Citation

  • S.H.T. Kumudumali & Ravindra Hewa Kuruppuge & Hotniar Siringoringo, 2023. "Green supply chain management and operational performance: a study of controlled environmental agriculture in Sri Lanka," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 45(1), pages 50-66.
  • Handle: RePEc:ids:ijlsma:v:45:y:2023:i:1:p:50-66
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=130967
    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:ijlsma:v:45:y:2023:i:1:p:50-66. 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.