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The organizational side of a disruption mitigation process: exploring a case study during the COVID-19 pandemic

Author

Listed:
  • Margherita Molinaro

    (University of Udine)

  • Pietro Romano

    (University of Udine)

  • Gianluca Sperone

    (Zoppas Industries Heating Element Technologies)

Abstract

This paper deals with the mitigation process of the COVID-19 pandemic. Scholars propose and discuss several mitigation strategies to face the COVID-19 disruptions, mainly focusing on technology and supply chain redesign related aspects. Less attention has been paid to the organizational aspects of the mitigation process. We address this gap through an in-depth analysis of the reactive organizational practices implemented by an Italian company during the COVID-19 pandemic. We further compare these practices with those proposed in the disruption management literature to identify common traits and differences. The results show that the overall management of a pandemic’s mitigation process does not significantly differ from that of conventional disruptions, since both contexts require the same basic organizational practices. However, some peculiarities on how these practices should be implemented in a pandemic setting do emerge, such as the implementation of a cyclic rather than linear problem-solving process, the adoption of a learning-by-doing approach, the need of a risk-taker mindset and the importance of creativity and improvisation. Besides complementing the literature, these findings allow to provide indications to managers on how to organize and coordinate the activities during the mitigation process, as well as on what capabilities and competencies should be leveraged to face the pandemic’s disruptions.

Suggested Citation

  • Margherita Molinaro & Pietro Romano & Gianluca Sperone, 2023. "The organizational side of a disruption mitigation process: exploring a case study during the COVID-19 pandemic," Operations Management Research, Springer, vol. 16(1), pages 1-17, March.
    • Handle: RePEc:spr:opmare:v:16:y:2023:i:1:d:10.1007_s12063-022-00264-w
    DOI: 10.1007/s12063-022-00264-w
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    References listed on IDEAS

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    1. Guiyang Zhu & Mabel C. Chou & Christina W. Tsai, 2020. "Lessons Learned from the COVID-19 Pandemic Exposing the Shortcomings of Current Supply Chain Operations: A Long-Term Prescriptive Offering," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
    2. 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).
    3. Scott DuHadway & Steven Carnovale & Benjamin Hazen, 2019. "Understanding risk management for intentional supply chain disruptions: risk detection, risk mitigation, and risk recovery," Annals of Operations Research, Springer, vol. 283(1), pages 179-198, December.
    4. Nikolopoulos, Konstantinos & Punia, Sushil & Schäfers, Andreas & Tsinopoulos, Christos & Vasilakis, Chrysovalantis, 2021. "Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions," European Journal of Operational Research, Elsevier, vol. 290(1), pages 99-115.
    5. Stephen J. DeCanio & Catherine Dibble & Keyvan Amir-Atefi, 2000. "The Importance of Organizational Structure for the Adoption of Innovations," Management Science, INFORMS, vol. 46(10), pages 1285-1299, October.
    6. Cantor, David E. & Blackhurst, Jennifer V. & Cortes, Juan David, 2014. "The clock is ticking: The role of uncertainty, regulatory focus, and level of risk on supply chain disruption decision making behavior," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 72(C), pages 159-172.
    7. Chen, Hsi Yueh & Das, Ajay & Ivanov, Dmitry, 2019. "Building resilience and managing post-disruption supply chain recovery: Lessons from the information and communication technology industry," International Journal of Information Management, Elsevier, vol. 49(C), pages 330-342.
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