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Strategic drivers to overcome the impacts of the COVID-19 pandemic: implications for ensuring resilience in supply chains

Author

Listed:
  • Md. Abdul Moktadir

    (Bangladesh University of Engineering and Technology
    University of Dhaka)

  • Sanjoy Kumar Paul

    (University of Technology Sydney)

  • Anil Kumar

    (London Metropolitan University)

  • Sunil Luthra

    (Government Polytechnic)

  • Syed Mithun Ali

    (Bangladesh University of Engineering and Technology)

  • Razia Sultana

    (University of Dhaka)

Abstract

The recent coronavirus (COVID-19) pandemic has affected the manufacturing industry’s entire supply chain system. It is important to investigate the strategic drivers to deal with the impacts of COVID-19 in the manufacturing industry. Accordingly, this study aims to identify the strategic drivers to overcome the impacts of the COVID-19 pandemic and improve the resiliency of the Bangladeshi footwear industry, an emerging economy. The strategic drivers are identified after reviewing research papers, reports, blogs, and discussions on social media platforms. The main drivers and their respective sub-drivers are finalized by discussing with domain experts. To offer strategic plans for building resiliency, it is crucial to know the importance of the main drivers and sub-drivers; therefore, the best–worst method is applied to determine the priority importance of the strategic drivers. The findings indicate that the top five drivers to defeat the impacts of COVID-19 are “high capability of reconfigurability,” “enhance the relationship with suppliers,” “develop health protocols to continue manufacturing,” “government support through incentives, subsidy, tax rebate, etc.,” and “set a policy to stable material supply”. Based on the findings, this study also provides practical implications with proposed research themes for policymakers and operations managers towards mitigating the impacts of the COVID-19 pandemic. The study’s contribution is unique and important for the footwear supply chain as the research on COVID-19 in the context of resiliency focusing on the footwear supply chain is non-existent.

Suggested Citation

  • Md. Abdul Moktadir & Sanjoy Kumar Paul & Anil Kumar & Sunil Luthra & Syed Mithun Ali & Razia Sultana, 2023. "Strategic drivers to overcome the impacts of the COVID-19 pandemic: implications for ensuring resilience in supply chains," Operations Management Research, Springer, vol. 16(1), pages 466-488, March.
    • Handle: RePEc:spr:opmare:v:16:y:2023:i:1:d:10.1007_s12063-022-00301-8
    DOI: 10.1007/s12063-022-00301-8
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    1. Alam, Shahriar Tanvir & Ahmed, Sayem & Ali, Syed Mithun & Sarker, Sudipa & Kabir, Golam & ul-Islam, Asif, 2021. "Challenges to COVID-19 vaccine supply chain: Implications for sustainable development goals," International Journal of Production Economics, Elsevier, vol. 239(C).
    2. Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    3. Arash Azadegan & Kevin Dooley, 2021. "A Typology of Supply Network Resilience Strategies: Complex Collaborations in a Complex World," Journal of Supply Chain Management, Institute for Supply Management, vol. 57(1), pages 17-26, January.
    4. Leyla Ozsen & Mark S. Daskin & Collette R. Coullard, 2009. "Facility Location Modeling and Inventory Management with Multisourcing," Transportation Science, INFORMS, vol. 43(4), pages 455-472, November.
    5. Raj, Alok & Mukherjee, Abheek Anjan & de Sousa Jabbour, Ana Beatriz Lopes & Srivastava, Samir K., 2022. "Supply chain management during and post-COVID-19 pandemic: Mitigation strategies and practical lessons learned," Journal of Business Research, Elsevier, vol. 142(C), pages 1125-1139.
    6. Otto, Christian & Willner, Sven Norman & Wenz, Leonie & Frieler, Katja & Levermann, Anders, 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," OSF Preprints 7yyhd, Center for Open Science.
    7. Simon Norris & Julia Hagenbeck & Stefan Schaltegger, 2021. "Linking sustainable business models and supply chains — Toward an integrated value creation framework," Business Strategy and the Environment, Wiley Blackwell, vol. 30(8), pages 3960-3974, December.
    8. Macchion, Laura & Moretto, Antonella & Caniato, Federico & Caridi, Maria & Danese, Pamela & Vinelli, Andrea, 2015. "Production and supply network strategies within the fashion industry," International Journal of Production Economics, Elsevier, vol. 163(C), pages 173-188.
    9. Belhadi, Amine & Kamble, Sachin & Jabbour, Charbel Jose Chiappetta & Gunasekaran, Angappa & Ndubisi, Nelson Oly & Venkatesh, Mani, 2021. "Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    10. Bobillo, Alfredo M. & López-Iturriaga, Felix & Tejerina-Gaite, Fernando, 2010. "Firm performance and international diversification: The internal and external competitive advantages," International Business Review, Elsevier, vol. 19(6), pages 607-618, December.
    11. El Baz, Jamal & Ruel, Salomée, 2021. "Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era," International Journal of Production Economics, Elsevier, vol. 233(C).
    12. Otto, C. & Willner, S.N. & Wenz, L. & Frieler, K. & Levermann, A., 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 232-269.
    13. Md. Rayhan Sarker & Md. Abdul Moktadir & Ernesto D. R. Santibanez-Gonzalez, 2021. "Social Sustainability Challenges Towards Flexible Supply Chain Management: Post-COVID-19 Perspective," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(2), pages 199-218, December.
    14. Amiri-Aref, Mehdi & Klibi, Walid & Babai, M. Zied, 2018. "The multi-sourcing location inventory problem with stochastic demand," European Journal of Operational Research, Elsevier, vol. 266(1), pages 72-87.
    15. Sanjoy Kumar Paul & Priyabrata Chowdhury, 2020. "Strategies for Managing the Impacts of Disruptions During COVID-19: an Example of Toilet Paper," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(3), pages 283-293, September.
    16. Mu-Chen Chen & Taho Yang & Chi-Tsung Yen, 2007. "Investigating the value of information sharing in multi-echelon supply chains," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(3), pages 497-511, June.
    17. Chowdhury, Priyabrata & Paul, Sanjoy Kumar & Kaisar, Shahriar & Moktadir, Md. Abdul, 2021. "COVID-19 pandemic related supply chain studies: A systematic review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    18. Kheybari, Siamak & Kazemi, Mostafa & Rezaei, Jafar, 2019. "Bioethanol facility location selection using best-worst method," Applied Energy, Elsevier, vol. 242(C), pages 612-623.
    19. Arvind Upadhyay & Anil Kumar & Vikas Kumar & Ahmed Alzaben, 2021. "A novel business strategies framework of do‐it‐yourself practices in logistics to minimise environmental waste and improve performance," Business Strategy and the Environment, Wiley Blackwell, vol. 30(8), pages 3882-3892, December.
    20. Huo, Da & Chaudhry, Hassan Rauf, 2021. "Using machine learning for evaluating global expansion location decisions: An analysis of Chinese manufacturing sector," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    21. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    22. Mi, Xiaomei & Tang, Ming & Liao, Huchang & Shen, Wenjing & Lev, Benjamin, 2019. "The state-of-the-art survey on integrations and applications of the best worst method in decision making: Why, what, what for and what's next?," Omega, Elsevier, vol. 87(C), pages 205-225.
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