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Sustainable Supply Chain Project Management: Strategies for Reducing Carbon Footprints

Author

Listed:
  • Mohammad Didar Hossain

    (Master of Science in Management (Project Management), St. Francis College, Brooklyn, NY, USA; Master’s in supply chain management (MSCM), Sonargaon University (SU)- Business Administration, Bangladesh)

  • Md Imtiaz Faruk

    (Master of Science in Project Management, St. Francis College, Brooklyn NY, USA)

  • Fatin Wahab Plabon

    (Master of Science in Project Management, St. Francis College, Brooklyn, NY, USA)

  • Jeba Sadia Jyoti

    (Master’s in management, St. Francis College, Brooklyn, NY, USA)

Abstract

Sustainable supply chain management (SSCM) has emerged as a pivotal approach for addressing environmental challenges while ensuring economic efficiency. This study explores strategies for integrating sustainability goals into supply chain operations to reduce carbon footprints. By leveraging advanced technologies such as blockchain, artificial intelligence (AI), and data analytics, this research proposes a comprehensive SSCM framework that enhances transparency, resource optimization, and predictive maintenance. The study includes an in-depth literature review, empirical validation through case studies in manufacturing and retail industries, and an analysis of results that demonstrate significant reductions in carbon emissions and waste production. Practical recommendations for supply chain managers, policymakers, and industry stakeholders are provided to foster the adoption of sustainable practices. This research contributes to the theoretical understanding of SSCM while offering actionable strategies for real-world implementation.

Suggested Citation

  • Mohammad Didar Hossain & Md Imtiaz Faruk & Fatin Wahab Plabon & Jeba Sadia Jyoti, 2025. "Sustainable Supply Chain Project Management: Strategies for Reducing Carbon Footprints," Journal of Business and Management Studies, Al-Kindi Center for Research and Development, vol. 7(2), pages 78-90, March.
    • Handle: RePEc:alk:jbms00:v:7:y:2025:i:2:id:9034
    DOI: 10.32996/jbms.2025.7.2.7
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