IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-981-10-5577-5_5.html
   My bibliography  Save this book chapter

Analysis of Impediments to Sustainability in the Food Supply Chain: An Interpretive Structural Modeling Approach

In: Quality, IT and Business Operations

Author

Listed:
  • Jyoti Dhingra Darbari

    (University of Delhi)

  • Vernika Agarwal

    (University of Delhi)

  • Rashi Sharma

    (University of Delhi)

  • P. C. Jha

    (University of Delhi)

Abstract

Increasing consumer consciousness along with urbanization, trade globalization, and agro-industrialization in the last few years has led to an exponential growth of sustainability in food supply chains (FSCs). In order to withstand competition, manufacturing enterprises are implementing proactive strategies to accelerate their sustainability performance. However, there are many barriers in the effective execution of sustainable FSC in India. Understanding the impact of these barriers will help the manufacturers in effectively utilizing their resources and attaining an environmental and social FSC. The main focus of the paper is to identify the dominant barriers, which create hindrance in the adoption of the sustainability in the Indian food industry. Further, the relationship between the barriers is defined, and the most dominant barriers are classified from the suggested barrier list using interpretive structural modeling (ISM). The outcome of ISM has been taken as an input for MICMAC analysis, which classifies the barriers based on their driving and dependence power. The proposed integrated structural model will be helpful in comprehending the mutual relationships and dependencies among the barriers in the diffusion and implementation of sustainability in FSC. The suggested framework can be used as a tool by decision-makers to systematically overcome the barriers and develop strategies toward incorporation of sustainability in Indian food industry.

Suggested Citation

  • Jyoti Dhingra Darbari & Vernika Agarwal & Rashi Sharma & P. C. Jha, 2018. "Analysis of Impediments to Sustainability in the Food Supply Chain: An Interpretive Structural Modeling Approach," Springer Proceedings in Business and Economics, in: P.K. Kapur & Uday Kumar & Ajit Kumar Verma (ed.), Quality, IT and Business Operations, pages 57-68, Springer.
    • Handle: RePEc:spr:prbchp:978-981-10-5577-5_5
    DOI: 10.1007/978-981-10-5577-5_5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mangla, Sachin Kumar & Luthra, Sunil & Rich, Nick & Kumar, Divesh & Rana, Nripendra P. & Dwivedi, Yogesh K., 2018. "Enablers to implement sustainable initiatives in agri-food supply chains," International Journal of Production Economics, Elsevier, vol. 203(C), pages 379-393.
    2. Amin Ullah Khan & Yousaf Ali, 2021. "Sustainable supplier selection for the cold supply chain (CSC) in the context of a developing country," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13135-13164, September.
    3. Sohrab Abdollahzadeh, 2021. "Sustainable Development of Foodservices under Uncertainty," Sustainability, MDPI, vol. 13(9), pages 1-14, May.

    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:spr:prbchp:978-981-10-5577-5_5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.