The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
RETRACTED: Strategies to mitigate the impact of COVID-19 on supply chain disruptions: a multiple case analysis of buyers and distributors
Abstract
Purpose: This paper explores the steps/countermeasures taken by buying and distributing firms to address supply chain disruptions caused by COVID-19. Design/methodology/approach: This study employs a multiple case study methodology and conducts 36 semi-structured interviews with senior managers of nine different firms producing, procuring or distributing products from China and other highly impacted South Asian regions (Pakistan, Sri Lanka, India). Findings: Results reveal that buying firms are moving to agile production, focusing on tier-1 supplier risk, enhancing inbound material visibility and temporarily closing production facilities to respond to the challenges posed by COVID-19. Furthermore, distribution centres are modifying their inventory policies, evaluating alternative outbound routes and sources of supply to manage disruptions caused to their business operations amid COVID-19 outbreak. Practical implications: Supply chain firms can use the countermeasures provided in this study to mitigate the impact of COVID-19 and make the best out of this pandemic. Originality/value: This study contributes to the supply chain literature by exploring the countermeasures taken by firms to mitigate the impact of COVID-19. In particular, this study explores such countermeasures from the perspective of two different entities (buyers and distributors) along the supply chain. Firms can use the countermeasures highlighted in this study to mitigate the impact of COVID-19 on the supply chain.
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Citations
Cites
Building Theories from Case Study Research
Eisenhardt, K. M. (1989) · The Academy of Management Review · doi:10.2307/258557 · Cited by 17,455
Grounded theory research: Procedures, canons, and evaluative criteria
Corbin, J. M., & Strauss, A. (1990) · Qualitative Sociology · doi:10.1007/bf00988593 · Cited by 11,133
Are We There Yet? Data Saturation in Qualitative Research
Fusch, P., & Ness, L. (2015) · The Qualitative Report · doi:10.46743/2160-3715/2015.2281 · Cited by 4,460
Ivanov, D. (2020) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.101922 · Cited by 2,280
Reconceptualizing the Determinants of Risk Behavior
Sitkin, S. B., & Pablo, A. L. (1992) · The Academy of Management Review · doi:10.2307/258646 · Cited by 2,057
Food supply chains during the COVID‐19 pandemic
Hobbs, J. E. (2020) · Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie · doi:10.1111/cjag.12237 · Cited by 1,313
A new genetic strategy for targeting microglia in development and disease
McKinsey, G. L., Lizama, C. O., Keown-Lang, A. E., Niu, A., Santander, N., Larpthaveesarp, A., Chee, E., Gonzalez, F. F., & Arnold, T. D. (2020) · eLife · doi:10.7554/elife.54590 · Cited by 176
Cited by
Moosavi, J., Fathollahi-Fard, A. M., & Dulebenets, M. A. (2022) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2022.102983 · Cited by 451
Metadata
- Authors
- Butt, A. S.
- Venue
- The International Journal of Logistics Management
- Publisher
- Emerald
- Published
- 2021-03-08
- Pages
- 1-23
- ISSN
- 0957-4093 (ISSN-L)
- 1758-6550
- OpenAlex
- W3134980215
- Cited by
- 191
- References
- 7
- FWCI
- 38.62
- Type
- journal article
- Language
- en
- Status
- Retracted
- Open access
- closed
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- CoChat. (2026). Citation check: RETRACTED: Strategies to mitigate the impact of COVID-19 on supply chain disruptions: a multiple case analysis of buyers and distributors. https://app.cochat.ai/papers/10.1108/ijlm-11-2020-0455
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- Butt, A. S. (2021). RETRACTED: Strategies to mitigate the impact of COVID-19 on supply chain disruptions: a multiple case analysis of buyers and distributors. The International Journal of Logistics Management. https://doi.org/10.1108/ijlm-11-2020-0455
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.