IDEAS home Printed from https://ideas.repec.org/a/gam/jlogis/v8y2024i2p41-d1373473.html
   My bibliography  Save this article

The Impact of Business Continuity on Supply Chain Practices and Resilience Due to COVID-19

Author

Listed:
  • Behzad Maleki Vishkaei

    (Department of Management and Technology, Bocconi University, 20136 Milan, Italy)

  • Pietro De Giovanni

    (SDA Bocconi School of Management, DIR—Claudio Dematté Research Division, Sustainable Operations and Supply Chain Monitor, 20136 Milan, Italy)

Abstract

Background : Business continuity entails the potential negative consequences of uncertainty on a firm’s ability to achieve strategic objectives. The COVID-19 pandemic significantly impacted business continuity due to lockdowns, travel restrictions, and social distancing measures. Consequently, firms adopted specific supply chain (SC) practices to effectively navigate this global crisis. Methods : This research adopted a stochastic approach based on Bayesian Networks to evaluate the implications of business continuity on firms’ decisions to embrace SC practices, focusing on omnichannel strategies, SC coordination, and technologies such as artificial intelligence systems, big data and machine learning, and mobile applications. Results : Our findings revealed that firms facing disruption in a single performance area can apply specific strategies to maintain resilience. However, multiple areas of underperformance necessitate a varied approach. Conclusions : According to our empirical analysis, omnichannel strategies are critical when disruptions simultaneously impact quality, inventory, sales, and ROI, particularly during major disruptions such as the COVID-19 pandemic. AI and big data become vital when multiple risks coalesce, enhancing areas such as customer service and supply chain visibility. Moreover, supply chain coordination and mobile app adoption are effective against individual performance risks, proving crucial in mitigating disruption impacts across various business aspects. These findings help policy-makers and business owners to have a better understanding of how business continuity based on performance resistance to disruptions pushes companies to adopt different practices including new technologies and supply chain coordination. Accordingly, they can use the outputs of this study to devise strategies for improving resilience considering their supply chain vulnerabilities.

Suggested Citation

  • Behzad Maleki Vishkaei & Pietro De Giovanni, 2024. "The Impact of Business Continuity on Supply Chain Practices and Resilience Due to COVID-19," Logistics, MDPI, vol. 8(2), pages 1-25, April.
    • Handle: RePEc:gam:jlogis:v:8:y:2024:i:2:p:41-:d:1373473
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2305-6290/8/2/41/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2305-6290/8/2/41/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Junaid, Muhammad & Zhang, Qingyu & Cao, Mei & Luqman, Adeel, 2023. "Nexus between technology enabled supply chain dynamic capabilities, integration, resilience, and sustainable performance: An empirical examination of healthcare organizations," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    2. Xiao, Tiaojun & Qi, Xiangtong, 2008. "Price competition, cost and demand disruptions and coordination of a supply chain with one manufacturer and two competing retailers," Omega, Elsevier, vol. 36(5), pages 741-753, October.
    3. Tran, Huy T. & Balchanos, Michael & Domerçant, Jean Charles & Mavris, Dimitri N., 2017. "A framework for the quantitative assessment of performance-based system resilience," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 73-84.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Matteo Trabucco & Pietro De Giovanni, 2021. "Achieving Resilience and Business Sustainability during COVID-19: The Role of Lean Supply Chain Practices and Digitalization," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    2. Aye, Goodness C. & Balcilar, Mehmet & Gupta, Rangan & Majumdar, Anandamayee, 2015. "Forecasting aggregate retail sales: The case of South Africa," International Journal of Production Economics, Elsevier, vol. 160(C), pages 66-79.
    3. Sun, Qin & Li, Hongxu & Wang, Yuzhi & Zhang, Yingchao, 2022. "Multi-swarm-based cooperative reconfiguration model for resilient unmanned weapon system-of-systems," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    4. Yanting Huang & Zongjun Wang, 2017. "Dual-Recycling Channel Decision in a Closed-Loop Supply Chain with Cost Disruptions," Sustainability, MDPI, vol. 9(11), pages 1-28, November.
    5. Han, Xiaohua & Wu, Haiyan & Yang, Qianxia & Shang, Jennifer, 2016. "Reverse channel selection under remanufacturing risks: Balancing profitability and robustness," International Journal of Production Economics, Elsevier, vol. 182(C), pages 63-72.
    6. Verstraete, Gylian & Aghezzaf, El-Houssaine & Desmet, Bram, 2019. "A data-driven framework for predicting weather impact on high-volume low-margin retail products," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 169-177.
    7. Yanting Huang & Benrong Zheng & Zongjun Wang, 2023. "Supplier–remanufacturing and manufacturer–remanufacturing in a closed-loop supply chain with remanufacturing cost disruption," Annals of Operations Research, Springer, vol. 324(1), pages 61-92, May.
    8. Chen, Kebing & Xiao, Tiaojun, 2009. "Demand disruption and coordination of the supply chain with a dominant retailer," European Journal of Operational Research, Elsevier, vol. 197(1), pages 225-234, August.
    9. Chaharsooghi, S. Kamal & Heydari, Jafar, 2010. "Supply chain coordination for the joint determination of order quantity and reorder point using credit option," European Journal of Operational Research, Elsevier, vol. 204(1), pages 86-95, July.
    10. Maddah, Negin & Heydari, Babak, 2024. "Building back better: Modeling decentralized recovery in sociotechnical systems using strategic network dynamics," Reliability Engineering and System Safety, Elsevier, vol. 246(C).
    11. Matteo De Marchi & Fanny Friedrich & Michael Riedl & Hartmut Zadek & Erwin Rauch, 2023. "Development of a Resilience Assessment Model for Manufacturing Enterprises," Sustainability, MDPI, vol. 15(24), pages 1-29, December.
    12. Hui Li & Chuanxu Wang & Meng Shang & Wei Ou, 2017. "Pricing, Carbon Emission Reduction, Low-Carbon Promotion and Returning Decision in a Closed-Loop Supply Chain under Vertical and Horizontal Cooperation," IJERPH, MDPI, vol. 14(11), pages 1-26, November.
    13. Slim Ben Youssef, 2013. "National Advertising and Cooperation in a Manufacturer-Two Retailers Channel," International Review of Management and Marketing, Econjournals, vol. 3(2), pages 75-85.
    14. Niu, Baozhuang & Wang, Yulan & Guo, Pengfei, 2015. "Equilibrium pricing sequence in a co-opetitive supply chain with the ODM as a downstream rival of its OEM," Omega, Elsevier, vol. 57(PB), pages 249-270.
    15. Ji, Xiang & Sun, Jiasen & Wang, Zebin, 2017. "Turn bad into good: Using transshipment-before-buyback for disruptions of stochastic demand," International Journal of Production Economics, Elsevier, vol. 185(C), pages 150-161.
    16. Miozza, Mario & Brunetta, Federica & Appio, Francesco Paolo, 2024. "Digital transformation of the Pharmaceutical Industry: A future research agenda for management studies," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
    17. Konur, Dinçer & Geunes, Joseph, 2016. "Supplier wholesale pricing for a retail chain: Implications of centralized vs. decentralized retailing and procurement under quantity competition," Omega, Elsevier, vol. 65(C), pages 98-110.
    18. Ali, Syed Mithun & Rahman, Md. Hafizur & Tumpa, Tasmia Jannat & Moghul Rifat, Abid Ali & Paul, Sanjoy Kumar, 2018. "Examining price and service competition among retailers in a supply chain under potential demand disruption," Journal of Retailing and Consumer Services, Elsevier, vol. 40(C), pages 40-47.
    19. Cao, Erbao & Wan, Can & Lai, Mingyong, 2013. "Coordination of a supply chain with one manufacturer and multiple competing retailers under simultaneous demand and cost disruptions," International Journal of Production Economics, Elsevier, vol. 141(1), pages 425-433.
    20. Watson, Bryan C & Morris, Zack B & Weissburg, Marc & Bras, Bert, 2023. "System of system design-for-resilience heuristics derived from forestry case study variants," Reliability Engineering and System Safety, Elsevier, vol. 229(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlogis:v:8:y:2024:i:2:p:41-:d:1373473. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.