The DOI matches its Crossref record; 100 of the 100 references it cites were found in a registry or an index.
Supply chain recovery challenges in the wake of COVID-19 pandemic
Open accessAbstract
The COVID-19 pandemic has revealed the fragility of global supply chains arising from raw material scarcity, production and transportation disruption, and social distancing. Firms need to carefully anticipate the difficulties during recovery and formulate appropriate strategies to ensure the survival of their businesses and supply chains. To enhance awareness of the issues, this research aims to identify and model recovery challenges in the context of the Bangladeshi ready-made garment industry. A Delphi-based grey decision-making trial and evaluation laboratory (DEMATEL) methodology was used to analyze the data. While the Delphi method helped identify the major supply chain recovery challenges from the impacts of the COVID-19 pandemic, the grey DEMATEL approach helped categorize the causal relationships among these challenges. Of the 23 recovery challenges finalized, 12 are causal challenges. The study’s findings can assist decision-makers in developing strategic policies to overcome the recovery challenges in the post-COVID-19 era.
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Cites
(2010) · Cited by 24,023
The Delphi method as a research tool: an example, design considerations and applications
Okoli, C., & Pawlowski, S. D. (2004) · Information & Management · doi:10.1016/j.im.2003.11.002 · Cited by 4,771
Control problems of grey systems
Ju-Long, D. (1982) · Systems & Control Letters · doi:10.1016/s0167-6911(82)80025-x · Cited by 4,487
Introduction to Grey system theory
Deng, J. (1989) · The journal of grey system/Journal of grey system · doi:10.5555/90757.90758 · Cited by 4,197
Stakeholder Theory: The State of the Art
Parmar, B. L., Freeman, R. E., Harrison, J. S., Wicks, A. C., Purnell, L., & de Colle, S. (2010) · Academy of Management Annals · doi:10.5465/19416520.2010.495581 · Cited by 2,755
Stakeholder Theory: The State of the Art
Freeman, R. E., Harrison, J. S., Wicks, A. C., Parmar, B. L., & de Colle, S. (2010) · doi:10.1017/cbo9780511815768 · Cited by 2,634
Understanding the concept of supply chain resilience
Ponomarov, S. Y., & Holcomb, M. C. (2009) · The International Journal of Logistics Management · doi:10.1108/09574090910954873 · Cited by 2,530
Ivanov, D. (2020) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.101922 · Cited by 2,280
Ivanov, D., & Dolgui, A. (2020) · International Journal of Production Research · doi:10.1080/00207543.2020.1750727 · Cited by 2,100
Critical analysis of Big Data challenges and analytical methods
Sivarajah, U., Kamal, M. M., Irani, Z., & Weerakkody, V. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2016.08.001 · Cited by 2,066
Cited by
Strielkowski, W., Vlasov, A., Selivanov, K., Muraviev, K., & Shakhnov, V. (2023) · Energies · doi:10.3390/en16104025 · Cited by 237
Lee, I., & Mangalaraj, G. (2022) · Big Data and Cognitive Computing · doi:10.3390/bdcc6010017 · Cited by 176
Metadata
- Authors
- Paul, S. K., Chowdhury, P., Moktadir, M. A., & Lau, K. H.
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2021-11
- Volume
- 136
- Pages
- 316-329
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W3188001017
- Cited by
- 312
- References
- 100
- FWCI
- 53.80
- Type
- journal article
- Language
- en
- Open access
- green
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