Skip to main content
SpringerLink
Log in

Building Resilient Post-pandemic Supply Chains Through Digital Transformation

  • Chapter
  • First Online:
Supply Chain Resilience

Part of the book series: Springer Series in Supply Chain Management ((SSSCM,volume 21))

Abstract

The COVID-19 pandemic has created a challenging environment for firms on a global scale. Due to policies aiming to contain the spread of the virus, firms across all industries are forced to quickly adapt to highly dynamic changes in supply and demand, while simultaneously managing internal production disruptions. Most companies experience severe financial consequences during the supply chain disruptions. Digital technologies can be used to create more resilient supply chains that are able to better cope with future large-scale disruptions. In this chapter, we present current industry best practices, related to blockchain, digital platforms, analytics, and digital twins, to provide actionable insights for decision makers.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    John Hopkins University Coronavirus Resource Center. https://coronavirus.jhu.edu/map.html. Accessed on February 11, 2022.

  2. 2.

    https://www.modum.io/

References

  • Ambulkar, S., Blackhurst, J., & Grawe, S. (2015). Firm’s resilience to supply chain disruptions: Scale development and empirical examination. Journal of Operations Management, 33, 111–122.

    Article  Google Scholar 

  • Andaluz, E. (2017, October 23). The process digital twin: A step toward operational excellence. Microsoft Industry Blogs.

    Google Scholar 

  • Babich, V., & Hilary, G. (2020). OM Forum—Distributed ledgers and operations: What operations management researchers should know about blockchain technology. Manufacturing and Service Operations Management, 22(2), 223–240.

    Article  Google Scholar 

  • Bode, C., & Wagner, S. M. (2015). Structural drivers of upstream supply chain complexity and the frequency of supply chain disruptions. Journal of Operations Management, 36, 215–228.

    Article  Google Scholar 

  • Boh, W. F., Constantinides, P., Padmanabhan, B., & Viswanathan, S. (2020). Call for papers—MISQ special issue on digital resilience. MIS Quarterly, pp. 1–3.

    Google Scholar 

  • Cavalcante, I. M., Frazzon, E. M., Forcellini, F. A., & Ivanov, D. (2019). A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing. International Journal of Information Management, 49, 86–97.

    Article  Google Scholar 

  • Choi, T. M., Wallace, S. W., & Wang, Y. (2018). Big data analytics in operations management. Production and Operations Management, 27(10), 1868–1883.

    Article  Google Scholar 

  • Choi, T. Y., Rogers, D., & Vakil, B. (2020, March 27). Coronavirus is a wake-up call for supply chain management. Harvard Business Review Digital Articles.

    Google Scholar 

  • Craighead, C. W., Ketchen, D. J., Jr., & Darby, J. L. (2020). Pandemics and supply chain management research: Toward a theoretical toolbox. Decision Sciences, 51(4), 838–866.

    Article  Google Scholar 

  • Dohrmann, K., Gesing, B., & Ward, J. (2019, June 27). Digital twins in logistics: A DHL perspective on the impact of digital twins on the logistics industry. DHL Trend Research.

    Google Scholar 

  • Duckett, A. (2020, October 5). Dow will close chemicals plants on top of job cuts. The Chemical Engineer Digital Articles.

    Google Scholar 

  • El Baz, J., & Ruel, S. (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, 233, 107972.

    Article  Google Scholar 

  • Foss, N. J. (2020). Behavioral strategy and the COVID-19 disruption. Journal of Management, 46(8), 1322–1329.

    Article  Google Scholar 

  • Govindan, K., Mina, H., & Alavi, B. (2020). A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19). Transportation Research Part E: Logistics and Transportation Review, 138, 101967.

    Article  Google Scholar 

  • Hastig, G. M., & Sodhi, M. S. (2020). Blockchain for supply chain traceability: Business requirements and critical success factors. Production and Operations Management, 29(4), 935–954.

    Article  Google Scholar 

  • Hendricks, K. B., & Singhal, V. R. (2003). The effect of supply chain glitches on shareholder wealth. Journal of Operations Management, 21(5), 501–522.

    Article  Google Scholar 

  • Hendricks, K. B., Singhal, V. R., & Zhang, R. (2009). The effect of operational slack, diversification, and vertical relatedness on the stock market reaction to supply chain disruptions. Journal of Operations Management, 27(3), 233–246.

    Article  Google Scholar 

  • Herzog, C., Jost, F., & Greiner, N. (2021, May 10). Machine learning has revolutionized forecasting during COVID-19. Oliver Wyman Insights.

    Google Scholar 

  • Hewett, N., & Mølbjerg, R. W. (2020, June 19). This is how blockchain can be used in supply chains to shape a post-COVID-19 economic recovery. World Economic Forum.

    Google Scholar 

  • Holmström, J., Holweg, M., Lawson, B., Pil, F. K., & Wagner, S. M. (2019). The digitalization of operations and supply chain management: Theoretical and methodological implications. Journal of Operations Management, 65(8), 728–734.

    Article  Google Scholar 

  • Islam, T., Pitafi, A. H., Arya, V., Wang, Y., Akhtar, N., Mubarik, S., & Xiaobei, L. (2021). Panic buying in the COVID-19 pandemic: A multi-country examination. Journal of Retailing and Consumer Services, 59, 102357.

    Article  Google Scholar 

  • Ivanov, D. (2021). Supply chain viability and the COVID-19 pandemic: A conceptual and formal generalisation of four major adaptation strategies. International Journal of Production Research, 59(12), 3535–3552.

    Article  Google Scholar 

  • Ivanov, D. (2022). Lean resilience: AURA (Active Usage of Resilience Assets) framework for post-COVID-19 supply chain management. The International Journal of Logistics Management. https://doi.org/10.1108/IJLM-11-2020-0448

  • Ivanov, D., & Dolgui, A. (2021). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning and Control, 32(9), 775–788.

    Article  Google Scholar 

  • Kache, F., & Seuring, S. (2017). Challenges and opportunities of digital information at the intersection of big data analytics and supply chain management. International Journal of Operations and Production Management, 37(1), 10–36.

    Article  Google Scholar 

  • Kass-Hout, T. A. (2020, November 19). Automating business processes with machine learning in the COVID-19 pandemic. AWS Machine Learning Blog.

    Google Scholar 

  • Ketchen, D. J., Jr., & Craighead, C. W. (2020). Research at the intersection of entrepreneurship, supply chain management, and strategic management: Opportunities highlighted by COVID-19. Journal of Management, 46(8), 1330–1341.

    Article  Google Scholar 

  • Kleindorfer, P. R., & Saad, G. H. (2005). Managing disruption risks in supply chains. Production and Operations Management, 14(1), 53–68.

    Article  Google Scholar 

  • Klöckner, M., Kurpjuweit, S., Velu, C., & Wagner, S. M. (2020). Does blockchain for 3D printing offer opportunities for business model innovation? Research-Technology Management, 63(4), 18–27.

    Article  Google Scholar 

  • Klöckner, M., Schmidt, C., & Wagner, S. M. (2021). The impact of the COVID-19 pandemic on shareholder value. Academy of Management Proceedings, 2021(1). https://doi.org/10.5465/AMBPP.2021.45

  • Klöckner, M., Schmidt, C. G., & Wagner, S. M. (2022). When blockchain creates shareholder value: Empirical evidence from international firm announcements. Production and Operations Management, 31(1), 46–64.

    Article  Google Scholar 

  • Knemeyer, A. M., Zinn, W., & Eroglu, C. (2009). Proactive planning for catastrophic events in supply chains. Journal of Operations Management, 27(2), 141–153.

    Article  Google Scholar 

  • Korin, N. (2020, November 20). Using blockchain to monitor the COVID-19 vaccine supply chain. World Economic Forum.

    Google Scholar 

  • Kubota, Y. (2020, April 27). Apple delays mass production of 2020 flagship iPhones. The Wall Street Journal Digital Articles.

    Google Scholar 

  • Kumar, A., Liu, R., & Shan, Z. (2020). Is blockchain a silver bullet for supply chain management? Technical challenges and research opportunities. Decision Sciences, 51(1), 8–37.

    Article  Google Scholar 

  • Kurpjuweit, S., Schmidt, C. G., Klöckner, M., & Wagner, S. M. (2021). Blockchain in additive manufacturing and its impact on supply chains. Journal of Business Logistics, 42(1), 46–70.

    Article  Google Scholar 

  • Leonardi, P. M. (2021). COVID-19 and the new technologies of organizing: Digital exhaust, digital footprints, and artificial intelligence in the wake of remote work. Journal of Management Studies, 58(1), 249–253.

    Article  Google Scholar 

  • Linton, T., & Vakil, B. (2020, March 5). Coronavirus is proving we need more resilient supply chains. Harvard Business Review Digital Articles.

    Google Scholar 

  • Liu, M., Fang, S., Dong, H., & Xu, C. (2021). Review of digital twin about concepts, technologies, and industrial applications. Journal of Manufacturing Systems, 58, 346–361.

    Article  Google Scholar 

  • Loten, A. (2020a, June 2). Pandemic to jumpstart spending on data tools at manufacturers. The Wall Street Journal Digital Articles.

    Google Scholar 

  • Loten, A. (2020b, April 16). Companies devote shrinking tech budgets to cloud, AI. The Wall Street Journal Digital Articles.

    Google Scholar 

  • McKinsey & Company. (2020, October 5). How COVID-19 has pushed companies over the technology tipping point—and transformed business forever. McKinsey & Company.

    Google Scholar 

  • Nandi, S., Sarkis, J., Hervani, A. A., & Helms, M. M. (2021). Redesigning supply chains using blockchain-enabled circular economy and COVID-19 experiences. Sustainable Production and Consumption, 27, 10–22.

    Article  Google Scholar 

  • Narayanamurthy, G., & Tortorella, G. (2021). Impact of COVID-19 outbreak on employee performance–moderating role of industry 4.0 base technologies. International Journal of Production Economics, 234, 108075.

    Article  Google Scholar 

  • Paul, S. K., & Chowdhury, P. (2021). A production recovery plan in manufacturing supply chains for a high-demand item during COVID-19. International Journal of Physical Distribution and Logistics Management, 51(2), 104–125.

    Article  Google Scholar 

  • Raj, M., Sundararajan, A., & You, C. (2020). COVID-19 and digital resilience: Evidence from Uber Eats. arXiv preprint, arXiv, 2006.07204.

    Google Scholar 

  • Schleich, B., Anwer, N., Mathieu, L., & Wartzack, S. (2017). Shaping the digital twin for design and production engineering. CIRP Annals, 66(1), 141–144.

    Article  Google Scholar 

  • Schmidt, C. G., & Wagner, S. M. (2019). Blockchain and supply chain relations: A transaction cost theory perspective. Journal of Purchasing and Supply Management, 25(4), 100552.

    Article  Google Scholar 

  • Sheffi, Y. (2005). The resilient enterprise: Overcoming vulnerability for competitive advantage. MIT Press.

    Google Scholar 

  • Sheffi, Y., & Rice, J. B., Jr. (2005). A supply chain view of the resilient enterprise. MIT Sloan Management Review, 47(1), 41–48.

    Google Scholar 

  • Skorna, A. C. H., Bode, C., & Wagner, S. M. (2009). Technology-enabled risk management along the transport logistics chain. In S. M. Wagner & C. Bode (Eds.), Managing risk and security: The safeguard of long-term success for logistics service providers (pp. 197–220). Haupt.

    Google Scholar 

  • Taylor, E., & Schwartz, J. (2020, March 17). Volkswagen suspends production as coronavirus hits sales. Reuters.

    Google Scholar 

  • Wahba, P. (2020, August 18). Walmart’s e-commerce sales nearly double as shoppers go beyond groceries in online orders. Fortune Digital Articles.

    Google Scholar 

  • Williams, B. D., Roh, J., Tokar, T., & Swink, M. (2013). Leveraging supply chain visibility for responsiveness: The moderating role of internal integration. Journal of Operations Management, 31(7–8), 543–554.

    Article  Google Scholar 

  • Yang, J., Xie, H., Yu, G., & Liu, M. (2021). Antecedents and consequences of supply chain risk management capabilities: An investigation in the post-coronavirus crisis. International Journal of Production Research, 59(5), 1573–1585.

    Article  Google Scholar 

  • Zsidisin, G. A., & Wagner, S. M. (2010). Do perceptions become reality? The moderating role of supply chain resiliency on disruption occurrence. Journal of Business Logistics, 31(2), 1–20.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Management, Technology, and Economics, Swiss Federal Institute of Technology (ETH Zurich), Zürich, Switzerland

    Maximilian Klöckner, Christoph G. Schmidt & Stephan M. Wagner

Authors
  1. Maximilian Klöckner
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Christoph G. Schmidt
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Stephan M. Wagner
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Business and Management, Royal Holloway University of London, Egham, UK

    Omera Khan

  2. Department of Business, Fulda University of Applied Sciences, Fulda, Hessen, Germany

    Michael Huth

  3. Department of Supply Chain and Analytics, University of Missouri–St. Louis, St Louis, MO, USA

    George A. Zsidisin

  4. Faculty of Mechanical Engineering, TU Dortmund University, Fraunhofer Institute for Material Flow and Logistics IML, Dortmund, Nordrhein-Westfalen, Germany

    Michael Henke

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Klöckner, M., Schmidt, C.G., Wagner, S.M. (2023). Building Resilient Post-pandemic Supply Chains Through Digital Transformation. In: Khan, O., Huth, M., Zsidisin, G.A., Henke, M. (eds) Supply Chain Resilience. Springer Series in Supply Chain Management, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-031-16489-7_12

Download citation

Publish with us

Policies and ethics

Search

Navigation