ArticleTechnological forecasting and social change2021
Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries.
Article in Technological forecasting and social change, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.
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72 citing papers in PubMed.
- Evolution and determinants of firm-level systemic risk in local production networks.PNAS nexus · 2026Article
- Digital supply chain transformation improves corporate carbon emission efficiency in Chinese listed companies.Scientific reports · 2025Article
- The analysis of strategic management decisions and corporate competitiveness based on artificial intelligence.Scientific reports · 2025Article
- Modelling and evaluating wood supply chain resilience factors based on system dynamics.Scientific reports · 2025Article
- Supply chain resilience enhancement strategies in the context of supply disruptions, demand surges, and time sensitivity.Fundamental research · 2025Article
- Pandemic-Induced PR Dilemmas Faced by Airlines: A Thematic Analysis of Spirit Airlines' Incident Response from USA.Behavioral sciences (Basel, Switzerland) · 2025Article
- Supply chain risk transmission monitoring based on graphic evaluation and review technique.Heliyon · 2025Article
- Article
- Beyond the hype: A TAM-based analysis of blockchain adoption drivers in construction industry.Heliyon · 2024Article
- Public health events and economic growth in a neoclassical framework.BMC public health · 2024Article
- Review
- Supply chain digitalization and performance: A moderated mediation of supply chain visibility and supply chain survivability.Heliyon · 2024Article
- Using meta-learning to recommend an appropriate time-series forecasting model.BMC public health · 2024Article
- The bright side of supplier concentration: Investor attitudes towards the reopening policy in China.PloS one · 2024Article
- Predicting the effects of supply chain resilience and robustness on COVID-19 impacts and performance: Empirical investigation through resources orchestration perspective.Journal of business research · 2023Article
- How did COVID-19 affect logistics and supply chain processes? Immediate, short and medium-term evidence from some industrial fields of Italy.International journal of production economics · 2023Article
- The future of industry 4.0 and supply chain resilience after the COVID-19 pandemic: Empirical evidence from a Delphi study.Computers & industrial engineering · 2023Article
- Responding to discontinuities in product-based service supply chains in the COVID-19 pandemic: Towards transilience.European management journal · 2023Article
- Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model.International journal of production economics · 2023Article
- Data driven flexible supplier network of selfcare essentials during disruptions in supply chain.Annals of operations research · 2023Article
12 more citing papers are in PubMed but not listed here.
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6 authors.
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Abstract
There has been an increased interest among scholars to investigate supply chain resilience (SCRes) in manufacturing and service operations during emerging situations. Grounded in the SCRes theory, this study provides insights into the impact of the COVID-19 outbreak on the automobile and airline supply chain. Both the short and long-term response strategies adopted by the two supply chains are assessed, using a combination of qualitative and quantitative techniques in three distinct phases. In phase one, we use a sequential mixed-method for resilience evaluation, integrating Time-to-Recovery (TTR) and Financial Impact (FI) analysis. In phase two, we conduct an empirical survey involving 145 firms to evaluate the short-term SCRes response strategies. In the third phase, we conduct semi-structured interviews with supply chain executives both from the automobile and airline industries to understand the long-term SCRes response strategies. Our findings indicate that: (i) the automobile industry perceived that the best strategies to mitigate risks related to COVID-19, were to develop localized supply sources and use advanced industry 4.0 (I4.0) technologies. (ii) The airline industry on the other hand, perceived that the immediate need was to get ready for business continuity challenges posed by COVID-19, by defining their operations both at the airports and within the flights. (iii) Importantly, both the sectors perceived Big Data Analytics (BDA) to play a significant role by providing real-time information on various supply chain activities to overcome the challenges posed by COVID-19. (iv) Cooperation among supply chain stakeholders is perceived, as needed to overcome the challenges of the pandemic, and to accelerate the use of digital technologies.
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