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Unlocking effective multi-tier supply chain management for sustainability through quantitative modeling: Lessons learned and discoveries to be made

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  • Jabbour, Charbel Jose Chiappetta
  • de Sousa Jabbour, Ana Beatriz Lopes
  • Sarkis, Joseph

Abstract

Contemporary multi-tier supply chains are increasingly international, complex, and challenging for suppliers and focal companies. In addition to this, internal and external stakeholders, regulators, consumers and non-governmental organizations all now require firms to take responsibility for and action towards mitigating unsustainable practices and misconduct in their supply chains. In dealing with this complex supply chain context, quantitative modeling approaches are relevant in their ability to capture the complexity of problems in order to propose effective and sustainable solutions. The main objective of this study is to review selected literature on the effective management of sustainability in supply chains, and its attendant implications for multi-tier supply chain modeling problems. Previously published modeling research that may directly or indirectly provide lessons for multi-tier sustainable supply chains is investigated utilizing the Scopus database. After analyzing the relevant literature, we deliver the following contributions: (a) a systematization and classification of the selected papers; (b) a description of 16 research gaps that remain in the literature and that may be useful in expanding research efforts in this domain; (c) four lessons for both practitioners and managers dealing with sustainability in multi-tier supply chains; (d) an integrative framework which encapsulates key areas of focus to develop multi-tier sustainable supply chains. Implications for theory and practice are suggested, as well as limitations concerning the scope of this systematic review.

Suggested Citation

  • Jabbour, Charbel Jose Chiappetta & de Sousa Jabbour, Ana Beatriz Lopes & Sarkis, Joseph, 2019. "Unlocking effective multi-tier supply chain management for sustainability through quantitative modeling: Lessons learned and discoveries to be made," International Journal of Production Economics, Elsevier, vol. 217(C), pages 11-30.
    • Handle: RePEc:eee:proeco:v:217:y:2019:i:c:p:11-30
    DOI: 10.1016/j.ijpe.2018.08.029
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    Cited by:

    1. Chen, Jen-Yi, 2022. "Responsible sourcing and supply chain traceability," International Journal of Production Economics, Elsevier, vol. 248(C).
    2. Kannan, Devika, 2021. "Sustainable procurement drivers for extended multi-tier context: A multi-theoretical perspective in the Danish supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    3. Liu, Weihua & Wei, Wanying & Choi, Tsan-Ming & Yan, Xiaoyu, 2022. "Impacts of leadership on corporate social responsibility management in multi-tier supply chains," European Journal of Operational Research, Elsevier, vol. 299(2), pages 483-496.
    4. Stekelorum, Rebecca & Laguir, Issam & Gupta, Shivam & Kumar, Sameer, 2021. "Green supply chain management practices and third-party logistics providers’ performances: A fuzzy-set approach," International Journal of Production Economics, Elsevier, vol. 235(C).
    5. Jamalnia, Aboozar & Gong, Yu & Govindan, Kannan, 2023. "Sub-supplier's sustainability management in multi-tier supply chains: A systematic literature review on the contingency variables, and a conceptual framework," International Journal of Production Economics, Elsevier, vol. 255(C).
    6. Mohammed, Ahmed & Lopes de Sousa Jabbour, Ana Beatriz & Koh, Lenny & Hubbard, Nicolas & Chiappetta Jabbour, Charbel Jose & Al Ahmed, Teejan, 2022. "The sourcing decision-making process in the era of digitalization: A new quantitative methodology," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    7. Heldt, Lisa & Beske-Janssen, Philip, 2023. "Solutions from space? A dynamic capabilities perspective on the growing use of satellite technology for managing sustainability in multi-tier supply chains," International Journal of Production Economics, Elsevier, vol. 260(C).

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