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Collaborative closed-loop supply chain framework for sustainable manufacturing: evidence from the Indian packaging industry

  • Usha Ramanathan
    ,
  • Qile He(corresponding author)
    ,
  • Nachiappan Subramanian
    ,
  • Angappa Gunasekaran
    ,
  • David Sarpong
*Corresponding author for this work
  • ,
  • Nottingham Trent University
    ,
  • University of Derby
    ,
  • University of Sussex
    ,
  • Pennsylvania State University
    ,
  • Aston University
Research Output:
Contribution to journal
Article
Peer-review

Open access

Sustainable Development Goals

  • SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  • SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Abstract

Businesses reeling from the impact of COVID are struggling to achieve sustainability, amidst many other challenges, including finance and capacity shortfalls. One of the pathways to achieving 3BL in businesses is to create closed-loop supply chains (CLSC) covering the entire lifecycle of products. CLSC have proven to be important for sustainable supply chain (SC) operations, given the shortage of materials and labour globally following the COVID-19 pandemic. While it is widely acknowledged that the success of CLSC depends on successful collaboration between SC members, factors for successful CLSC collaboration are not sufficiently understood from the literature. Employing an observation-based case study and a survey of SC members, we develop our contribution in the context of an Indian packaging company, to delineate and verify a collaborative CLSC framework. The results confirm that the success of CLSC collaboration lies in the involvement and commitment of SC members. Collaboration for forward and reverse SC operations also facilitate the involvement of SC members in CLSC collaborations. Our research suggests that SC collaborations are enhanced by explicit incentive-sharing schemes and having the same SC members for both forward and reverse SC operations.

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Article number

122489

Journal (Volume, Issue Number)

Technological Forecasting and Social Change (Volume 191)

Publication milestones

  • Accepted/In press - 08/03/2023
  • E-pub ahead of print - 23/03/2023
  • Published - 23/03/2023

Publication status

Published - 23/03/2023

ISSN

0040-1625

Publication IDs

  • Scopus: 85150484236