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Sustainable supply chain management performance in post COVID-19 era in an emerging economy: a big data perspective

Author

Listed:
  • Qasim Ali Nisar
  • Shahbaz Haider
  • Irfan Ameer
  • Muhammad Sajjad Hussain
  • Sonaina Safi Gill
  • Awan Usama

Abstract

Purpose - Big data analytics capabilities are the driving force and deemed as an operational excellence approach to improving the green supply chain performance in the post COVID-19 situation. Motivated by the COVID-19 epidemic and the problems it poses to the supply chain's long-term viability, this study used dynamic capabilities theory as a foundation to assess the imperative role of big data analytics capabilities (management, talent and technological) toward green supply chain performance. Design/methodology/approach - This study was quantitative and cross-sectional. Data were collected from 374 executives through a survey questionnaire method by applying an appropriate random sampling technique. The authors employed PLS-SEM to analyze the data. Findings - The findings revealed that big data analytics capabilities play a significant role in boosting up sustainable supply chain performance. It was found that big data analytics capabilities significantly contributed to supply chain risk management and innovative green product development that ultimately enhanced innovation and learning performance. Moreover, innovation and green learning performance has a significant and positive relationship with sustainable supply chain performance. In the post COVID-19 situation, organizations can enhance their sustainable supply chain performance by giving extra attention to big data analytics capabilities and supply chain risk and innovativeness. Originality/value - The paper specifically emphasizes on the factors that result in the sustainability in supply chain integrated with the big data analytics. Additionally, it offers the boundary condition for gaining the sustainable supply chain management.

Suggested Citation

  • Qasim Ali Nisar & Shahbaz Haider & Irfan Ameer & Muhammad Sajjad Hussain & Sonaina Safi Gill & Awan Usama, 2022. "Sustainable supply chain management performance in post COVID-19 era in an emerging economy: a big data perspective," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 18(12), pages 5900-5920, June.
    • Handle: RePEc:eme:ijoemp:ijoem-12-2021-1807
    DOI: 10.1108/IJOEM-12-2021-1807
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    Citations

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    Cited by:

    1. Jeetu Rana & Yash Daultani & Mohit Goswami & Sushil Kumar, 2025. "Exploring the Impact of Supply Chain Digital Transformation on Supply Chain Performance: An Empirical Investigation," Business Strategy and the Environment, Wiley Blackwell, vol. 34(3), pages 3497-3521, March.
    2. Huynh, Minh-Tay & Nippa, Michael & Aichner, Thomas, 2023. "Big data analytics capabilities: Patchwork or progress? A systematic review of the status quo and implications for future research," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    3. Fei Du & Dejun Zou & Jianping Hu, 2025. "Optimal Contract Choice in Sustainable Tourism Supply Chain When Environmental Consumers Exist," SAGE Open, , vol. 15(1), pages 21582440241, January.
    4. Bakkar, Yassine & Bark, Eunice & Prause, Gunnar & Ul-Durar, Shajara, 2025. "Green Deal and financing sustainable transport in Europe: A target costing analysis," Transport Policy, Elsevier, vol. 163(C), pages 185-198.
    5. Kosar Mousavi & Elaheh Kowsari & Seeram Ramakrishna & Amutha Chinnappan & Mohammad Gheibi, 2025. "A comprehensive review of greenwashing in the textile industry (life cycle assessment, life cycle cost, and eco-labeling)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(9), pages 21737-21777, September.

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