ArticleSustainable production and consumption2021
Improving supply chain sustainability in the context of COVID-19 pandemic in an emerging economy: Exploring drivers using an integrated model.
Article in Sustainable production and consumption, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed.
- The impact of management practices and industry 4.0 technologies on supply chain sustainability: A systematic review.Heliyon · 2024Review
- Disruptive supply chain technology assessment for sustainability journey: A framework of probabilistic group decision making.Heliyon · 2024Article
- Key determinants to supply chain resilience to face pandemic disruption: An interpretive triple helix framework.PloS one · 2024Article
- Modeling the supply chain sustainability imperatives in the fashion retail industry: Implications for sustainable development.PloS one · 2024Article
- Global Health Commodities Supply Chain in the Era of COVID-19 Pandemic: Challenges, Impacts, and Prospects: A Systematic Review.Journal of multidisciplinary healthcare · 2024Review
- Article
- Modelling supply chain sustainability challenges in the food processing sector amid the COVID-19 outbreak.Socio-economic planning sciences · 2023Article
- Data driven flexible supplier network of selfcare essentials during disruptions in supply chain.Annals of operations research · 2023Article
- Sustainable and resilient e-commerce under COVID-19 pandemic: a hybrid grey decision-making approach.Environmental science and pollution research international · 2023Article
- Designing an optimization model for the vaccine supply chain during the COVID-19 pandemic.Expert systems with applications · 2023Article
- Identifying and ranking key technological capabilities in supply chain sustainability using ISM approach: case of food industry in Iran.Environment, development and sustainability · 2023Article
- COVID-19 medical waste transportation risk evaluation integrating type-2 fuzzy total interpretive structural modeling and Bayesian network.Expert systems with applications · 2023Article
- Transition to a sustainable food supply chain during disruptions: A study on the Brazilian food companies in the Covid-19 era.International journal of production economics · 2023Article
- Vaccine supply chain management: An intelligent system utilizing blockchain, IoT and machine learning.Journal of business research · 2023Article
- Global supply chains risks and COVID-19: Supply chain structure as a mitigating strategy for small and medium-sized enterprises.Journal of business research · 2023Article
- Using emerging technologies to improve the sustainability and resilience of supply chains in a fuzzy environment in the context of COVID-19.Annals of operations research · 2023Article
- Impact of COVID-19 on ports, multimodal logistics and transport sector in India: Responses and policy imperatives.Transport policy · 2023Article
- The Impact of COVID-19 on the Sustainable Development Goals: Achievements and Expectations.International journal of environmental research and public health · 2022Review
- Intelligent model for contemporary supply chain barriers in manufacturing sectors under the impact of the COVID-19 pandemic.Expert systems with applications · 2022Article
- Using network data envelopment analysis to assess the sustainability and resilience of healthcare supply chains in response to the COVID-19 pandemic.Annals of operations research · 2022Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Motivated by the COVID-19 pandemic and the challenges it poses to supply chain sustainability (SCS), this research aims to investigate the drivers of sustainable supply chain (SSC) to tackle supply chain disruptions in such a pandemic in the context of a particular emerging economy: Bangladesh. To achieve this aim, a methodology is proposed based on the Pareto analysis, fuzzy theory, total interpretive structural modelling (TISM), and Matriced Impacts Cruoses Multiplication Applique a un Classement techniques (MICMAC). The proposed methodology is tested using experienced supply chain practitioners as well as academic experts' inputs from the emerging economy. This study reveals the influential relationships and indispensable links between the drivers using fuzzy TISM to improve the SCS in the context of COVID-19. Findings also reveal that financial support from the government as well as from the supply chain partners is required to tackle the immediate shock on SCS due to COVID-19. Also, policy development considering health protocols and automation is essential for long-term sustainability in supply chains (SCs). Additionally, MICMAC analysis has clustered the associated drivers to capture the insights on the SCS. These findings are expected to aid industrial managers, supply chain partners, and government policymakers to take initiatives on SSC issues in the context of the COVID-19 pandemic.
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