IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v53y2015i21p6372-6389.html
   My bibliography  Save this article

Developing green supply chain management taxonomy-based decision support system

Author

Listed:
  • V. Kumar
  • D. Holt
  • A. Ghobadian
  • J.A. Garza-Reyes

Abstract

The aim of this paper is to develop a comprehensive taxonomy of green supply chain management (GSCM) practices and develop a structural equation modelling-driven decision support system following GSCM taxonomy for managers to provide better understanding of the complex relationship between the external and internal factors and GSCM operational practices. Typology and/or taxonomy play a key role in the development of social science theories. The current taxonomies focus on a single or limited component of the supply chain. Furthermore, they have not been tested using different sample compositions and contexts, yet replication is a prerequisite for developing robust concepts and theories. In this paper, we empirically replicate one such taxonomy extending the original study by (a) developing broad (containing the key components of supply chain) taxonomy; (b) broadening the sample by including a wider range of sectors and organisational size; and (c) broadening the geographic scope of the previous studies. Moreover, we include both objective measures and subjective attitudinal measurements. We use a robust two-stage cluster analysis to develop our GSCM taxonomy. The main finding validates the taxonomy previously proposed and identifies size, attitude and level of environmental risk and impact as key mediators between internal drivers, external drivers and GSCM operational practices.

Suggested Citation

  • V. Kumar & D. Holt & A. Ghobadian & J.A. Garza-Reyes, 2015. "Developing green supply chain management taxonomy-based decision support system," International Journal of Production Research, Taylor & Francis Journals, vol. 53(21), pages 6372-6389, November.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:21:p:6372-6389
    DOI: 10.1080/00207543.2014.917215
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2014.917215
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207543.2014.917215?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Kumar, V.N.S.A. & Kumar, V. & Brady, M. & Garza-Reyes, Jose Arturo & Simpson, M., 2017. "Resolving forward-reverse logistics multi-period model using evolutionary algorithms," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 458-469.
    2. Muhammad Waqas & Qian-li Dong & Naveed Ahmad & Yuming Zhu & Muhammad Nadeem, 2018. "Critical Barriers to Implementation of Reverse Logistics in the Manufacturing Industry: A Case Study of a Developing Country," Sustainability, MDPI, vol. 10(11), pages 1-25, November.
    3. Saghiri, Soroosh Sam & Mirzabeiki, Vahid, 2021. "Buyer-led environmental supplier development: Can suppliers really help it?," International Journal of Production Economics, Elsevier, vol. 233(C).
    4. Graham, Stephanie & Graham, Byron & Holt, Diane, 2018. "The relationship between downstream environmental logistics practices and performance," International Journal of Production Economics, Elsevier, vol. 196(C), pages 356-365.
    5. Wensi Zhang & Jing Xiao & Lingfei Cai, 2020. "Joint Emission Reduction Strategy in Green Supply Chain under Environmental Regulation," Sustainability, MDPI, vol. 12(8), pages 1-24, April.
    6. Asif Khan & Chih-Cheng Chen & Kuan-Hua Lu & Ardy Wibowo & Shih-Chih Chen & Athapol Ruangkanjanases, 2021. "Supply Chain Ambidexterity and Green SCM: Moderating Role of Network Capabilities," Sustainability, MDPI, vol. 13(11), pages 1-13, May.
    7. Francesca Ciulli & Ans Kolk & Siri Boe-Lillegraven, 2020. "Circularity Brokers: Digital Platform Organizations and Waste Recovery in Food Supply Chains," Journal of Business Ethics, Springer, vol. 167(2), pages 299-331, November.
    8. Thomas F. Gattiker & Julia Hartmann & Finn Wynstra & Mark Pagell & David Cantor & Tingting Yan & Wendy Tate, 2022. "Testing the shoulders of giants—Replication research using registered reports," Journal of Supply Chain Management, Institute for Supply Management, vol. 58(3), pages 89-94, July.

    More about this item

    Statistics

    Access and download statistics

    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:taf:tprsxx:v:53:y:2015:i:21:p:6372-6389. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    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.