The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Research opportunities for a more resilient post-COVID-19 supply chain – closing the gap between research findings and industry practice
Abstract
Purpose: The COVID-19 crisis has caused major supply chain disruptions, and these can be traced back to basic supply chain risks that have previously been well identified in literature. The purpose of this paper is to suggest a pathway for closing the gap between supply chain resilience research and efforts in industry to develop a more resilient supply chain. Design/methodology/approach: Based upon virtual roundtables with supply chain executives, supplemented with interviews and publicly available datapoints about COVID-19 impact on the supply chain, we explore challenges in industry and suggest opportunity areas where research can support efforts in industry to improve supply chain resilience. Findings: During the COVID-19 crisis, participating supply chain executives are experiencing textbook supply, demand and control risks in the supply chain. They also observe a lack of preparedness, shortcomings of current response plans and the need for greater supply chain resilience. Focus areas in improving resilience mirror generic recommendations from literature and provide a rich opportunity to reduce the gap between research findings and efforts in industry. Research limitations/implications: More empirical, event-based and less conceptual research into supply chain resilience has been called for several times during the last two decades. COVID-19 provides a very rich opportunity for researchers to conduct the type of research that has been called for. This research may contribute to the structurally de-risking of supply chains. Areas of research opportunity include decision models for supply chain design that avoid overfocusing on costs only, and that consider the value of flexibility, short response times and multiple sources as well as methods for enriching supplier segmentation and evaluation models to reduce a focus on savings and payment terms only. Practical implications: Key levers for de-risking the supply chain include the need to balance global sourcing with nearshore and local sourcing, the adoption of multiple sources and a greater utilization of information technology to drive more complete and immediate information availability. Perhaps most importantly, talent management in supply chain management needs to promote a focus not just on costs, but also on resilience as well as on learning from current events to improve decision-making. Social implications: There is a great opportunity for supply chain managers to grow their contribution to society beyond risk response into the proactive reduction of risks for the future. Researchers can serve society by informing this progress with impactful research. Originality/value: This article offers initial empirical exploration of supply chain risks experienced in the context of COVID-19 and approaches considered in industry to improve supply chain resilience. Opportunities for empirical, event-based and less conceptual research that has been called for years, are identified. This research can help close the gap between supply chain resilience research and efforts in industry to improve supply chain resilience. Hopefully the research opportunities identified can inspire the flurry of research that can be expected in response to the multiple special issues planned by journals in our field.
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Citations
Cites
Building the Resilient Supply Chain
Christopher, M., & Peck, H. (2004) · The International Journal of Logistics Management · doi:10.1108/09574090410700275 · Cited by 3,664
Industrial Dynamics: A Major Breakthrough for Decision Makers
Forrester, J. W. (2012) · The Roots of Logistics · doi:10.1007/978-3-642-27922-5_13 · Cited by 2,058
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Chopra, S., & Sodhi, M. S. (2004) · MIT Sloan Management Review · Cited by 1,860
ENSURING SUPPLY CHAIN RESILIENCE: DEVELOPMENT OF A CONCEPTUAL FRAMEWORK
Pettit, T. J., Fiksel, J., & Croxton, K. L. (2010) · Journal of Business Logistics · doi:10.1002/j.2158-1592.2010.tb00125.x · Cited by 1,480
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AN EMPIRICAL EXAMINATION OF SUPPLY CHAIN PERFORMANCE ALONG SEVERAL DIMENSIONS OF RISK
Wagner, S. M., & Bode, C. (2008) · Journal of Business Logistics · doi:10.1002/j.2158-1592.2008.tb00081.x · Cited by 927
GLOBAL SUPPLY CHAIN RISK MANAGEMENT
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Researchers' Perspectives on Supply Chain Risk Management
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Cited by
COVID-19 pandemic related supply chain studies: A systematic review
Chowdhury, P., Paul, S. K., Kaisar, S., & Moktadir, M. A. (2021) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2021.102271 · Cited by 992
Impact of COVID-19 on logistics systems and disruptions in food supply chain
Singh, S., Kumar, R., Panchal, R., & Tiwari, M. K. (2021) · International Journal of Production Research · doi:10.1080/00207543.2020.1792000 · Cited by 904
Spieske, A., & Birkel, H. (2021) · Computers & Industrial Engineering · doi:10.1016/j.cie.2021.107452 · Cited by 499
Dey, P. K., Chowdhury, S., Abadie, A., Vann Yaroson, E., & Sarkar, S. (2024) · International Journal of Production Research · doi:10.1080/00207543.2023.2179859 · Cited by 330
Supply chain recovery challenges in the wake of COVID-19 pandemic
Paul, S. K., Chowdhury, P., Moktadir, M. A., & Lau, K. H. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.07.056 · Cited by 312
Metadata
- Authors
- van Hoek, R.
- Venue
- International Journal of Operations & Production Management
- Publisher
- Emerald
- Published
- 2020-06-03
- Volume
- 40
- Issue
- 4
- Pages
- 341-355
- ISSN
- 0144-3577 (ISSN-L)
- OpenAlex
- W3033639166
- Cited by
- 850
- References
- 16
- FWCI
- 158.91
- Type
- journal article
- Language
- en
- Open access
- closed
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- van Hoek, R. (2020). Research opportunities for a more resilient post-COVID-19 supply chain – closing the gap between research findings and industry practice. International Journal of Operations & Production Management. https://doi.org/10.1108/ijopm-03-2020-0165
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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