The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
Developing a framework for enhancing survivability of sustainable supply chains during and post-COVID-19 pandemic
Open accessAbstract
The pandemic has created a restrictive working system including remote working, and flexible hours for the firms and employees all around the globe, thus transforming into a platform economy may reduce unemployment and enhance job opportunities. Therefore, firms are now trying to identify the ways for enhancing survivability of Sustainable Supply Chains (SSCs). This study has made an effort to develop a framework for enhancing survivability of SSCs to survive in and post-COVID-19 pandemic. This study has utilised Stepwise Weight Assessment Ratio Analysis (SWARA) method for identifying the significant factors for enhancing survivability of SSCs to be focused in pandemic situation. The study revealed that ‘Supply Chain Network Viability (SCV)’ is the main criterion for managing buyer–supplier relationship and enhancing survivability of SSCs during and post-COVID-19 situation. This study is helpful for firms, suppliers, and other stakeholders to focus on the identified factors for healthier future.
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Cites
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
Review of quantitative methods for supply chain resilience analysis
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International Journal of Supply Chain Management
(2023) · International Journal of Supply Chain Management · doi:10.59160/ijscm · Cited by 799
Making connections: a review of supply chain management and sustainability literature
Ashby, A., Leat, M., & Hudson‐Smith, M. (2012) · Supply Chain Management: An International Journal · doi:10.1108/13598541211258573 · Cited by 795
An Empirically Derived Framework of Global Supply Resiliency
Blackhurst, J., Dunn, K. S., & Craighead, C. W. (2011) · Journal of Business Logistics · doi:10.1111/j.0000-0000.2011.01032.x · Cited by 758
Economic and Social Upgrading in Global Value Chains and Industrial Clusters: Why Governance Matters
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Sustainable supply chain management: framework and further research directions
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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
Supply chain sustainability: learning from the COVID-19 pandemic
Sarkis, J. (2020) · International Journal of Operations & Production Management · doi:10.1108/ijopm-08-2020-0568 · Cited by 698
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
Risk analysis in logistics systems: A research agenda during and after the COVID-19 pandemic
Choi, T.-M. (2021) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.102190 · Cited by 259
Cariou, P., & Notteboom, T. (2023) · International Journal of Logistics Research and Applications · doi:10.1080/13675567.2022.2088708 · Cited by 20
Metadata
- Authors
- Sharma, M., Luthra, S., Joshi, S., & Kumar, A.
- Venue
- International Journal of Logistics Research and Applications
- Publisher
- Informa UK Limited
- Published
- 2020-08-26
- Volume
- 25
- Issue
- 4-5
- Pages
- 433-453
- ISSN
- 1367-5567 (ISSN-L)
- 1469-848X
- OpenAlex
- W3080574953
- Cited by
- 283
- References
- 80
- FWCI
- 44.53
- Type
- journal article
- Language
- en
- Open access
- green
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- Sharma, M., Luthra, S., Joshi, S., & Kumar, A. (2022). Developing a framework for enhancing survivability of sustainable supply chains during and post-COVID-19 pandemic. International Journal of Logistics Research and Applications. https://doi.org/10.1080/13675567.2020.1810213
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.