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Big Data Analytics in Sustainable Supply Chain Management: A Focus on Manufacturing Supply Chains

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  • Joash Mageto

    (Department of Transport and Supply Chain Management, University of Johannesburg, P.O. Box 524, Johannesburg 2006, South Africa)

Abstract

Sustainable supply chain management has been an important research issue for the last two decades due to climate change. From a global perspective, the United Nations have introduced sustainable development goals, which point towards sustainability. Manufacturing supply chains are among those that produce harmful effluents into the environment in addition to social issues that impact societies and economies where they operate. New developments in information and communication technologies, especially big data analytics (BDA), can help create new insights that can detect parts and members of a supply chain whose activities are unsustainable and take corrective action. While many studies have addressed sustainable supply chain management (SSCM), studies on the effect of BDA on SSCM in the context of manufacturing supply chains are limited. This conceptual paper applies Toulmin’s argumentation model to review relevant literature and draw conclusions. The study identifies the elements of big data analytics as data processing, analytics, reporting, integration, security and economic. The aspects of sustainable SCM are transparency, sustainability culture, corporate goals and risk management. It is established that BDA enhances SSCM of manufacturing supply chains. Cyberattacks and information technology skills gap are some of the challenges impeding BDA implementation. The paper makes a conceptual and methodological contribution to supply chain management literature by linking big data analytics and SSCM in manufacturing supply chains by using the rarely used Toulmin’s argumentation model in management studies.

Suggested Citation

  • Joash Mageto, 2021. "Big Data Analytics in Sustainable Supply Chain Management: A Focus on Manufacturing Supply Chains," Sustainability, MDPI, vol. 13(13), pages 1-22, June.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:13:p:7101-:d:581429
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    Cited by:

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    2. Mehrnaz Jalali & Bo Feng & Junwen Feng, 2022. "An Analysis of Barriers to Sustainable Supply Chain Management Implementation: The Fuzzy DEMATEL Approach," Sustainability, MDPI, vol. 14(20), pages 1-30, October.
    3. Luay Jum’a & Muhammad Ikram & Ziad Alkalha & Maher Alaraj, 2022. "Do Companies Adopt Big Data as Determinants of Sustainability: Evidence from Manufacturing Companies in Jordan," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(4), pages 479-494, December.
    4. Damianos P. Sakas & Nikolaos Th. Giannakopoulos, 2021. "Harvesting Crowdsourcing Platforms’ Traffic in Favour of Air Forwarders’ Brand Name and Sustainability," Sustainability, MDPI, vol. 13(15), pages 1-25, July.
    5. Asterios Stroumpoulis & Evangelia Kopanaki, 2022. "Theoretical Perspectives on Sustainable Supply Chain Management and Digital Transformation: A Literature Review and a Conceptual Framework," Sustainability, MDPI, vol. 14(8), pages 1-30, April.
    6. Joash Mageto, 2022. "Current and Future Trends of Information Technology and Sustainability in Logistics Outsourcing," Sustainability, MDPI, vol. 14(13), pages 1-27, June.
    7. Karmaker, Chitra Lekha & Bari, A.B.M. Mainul & Anam, Md. Zahidul & Ahmed, Tazim & Ali, Syed Mithun & de Jesus Pacheco, Diego Augusto & Moktadir, Md. Abdul, 2023. "Industry 5.0 challenges for post-pandemic supply chain sustainability in an emerging economy," International Journal of Production Economics, Elsevier, vol. 258(C).
    8. Ipek Kazancoglu & Melisa Ozbiltekin-Pala & Sachin Kumar Mangla & Ajay Kumar & Yigit Kazancoglu, 2023. "Using emerging technologies to improve the sustainability and resilience of supply chains in a fuzzy environment in the context of COVID-19," Annals of Operations Research, Springer, vol. 322(1), pages 217-240, March.
    9. Chih-Hung Hsu & Ming-Ge Li & Ting-Yi Zhang & An-Yuan Chang & Shu-Zhen Shangguan & Wan-Ling Liu, 2022. "Deploying Big Data Enablers to Strengthen Supply Chain Resilience to Mitigate Sustainable Risks Based on Integrated HOQ-MCDM Framework," Mathematics, MDPI, vol. 10(8), pages 1-35, April.
    10. Abeer Aljohani, 2023. "Predictive Analytics and Machine Learning for Real-Time Supply Chain Risk Mitigation and Agility," Sustainability, MDPI, vol. 15(20), pages 1-26, October.
    11. Jun-Der Leu & Larry Jung-Hsing Lee & Yi-Wei Huang & Chia-Chi Huang, 2021. "Sustainable Supply Chains: Evidence from Small and Medium-Sized Manufacturers," Sustainability, MDPI, vol. 13(16), pages 1-22, August.
    12. Zbysław Dobrowolski, 2021. "Internet of Things and Other E-Solutions in Supply Chain Management May Generate Threats in the Energy Sector—The Quest for Preventive Measures," Energies, MDPI, vol. 14(17), pages 1-11, August.

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