Three pillars of sustainability in the wake of COVID-19: A systematic review and future research agenda for sustainable development

Journal of Cleaner Production, Journal Year: 2021, Volume and Issue: 297, P. 126660 - 126660

Published: March 11, 2021

Language: Английский

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Food retail supply chain resilience and the COVID-19 pandemic: A digital twin-based impact analysis and improvement directions

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2021, Volume and Issue: 152, P. 102412 - 102412

Published: June 30, 2021

Language: Английский

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Supply chain disruption during the COVID-19 pandemic: Recognizing potential disruption management strategies

International Journal of Disaster Risk Reduction, Journal Year: 2022, Volume and Issue: 75, P. 102983 - 102983

Published: April 22, 2022

Language: Английский

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Supply chain recovery challenges in the wake of COVID-19 pandemic

Journal of Business Research, Journal Year: 2021, Volume and Issue: 136, P. 316 - 329

Published: Aug. 2, 2021

Language: Английский

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Recent Advances in Unmanned Aerial Vehicles: A Review

Arabian Journal for Science and Engineering, Journal Year: 2022, Volume and Issue: 47(7), P. 7963 - 7984

Published: April 25, 2022

Language: Английский

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Supply chain resilience in the UK during the coronavirus pandemic: A resource orchestration perspective

International Journal of Production Economics, Journal Year: 2022, Volume and Issue: 245, P. 108405 - 108405

Published: Jan. 3, 2022

Language: Английский

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Reimagining global food value chains through effective resilience to COVID-19 shocks and similar future events: A dynamic capability perspective

Journal of Business Research, Journal Year: 2021, Volume and Issue: 141, P. 1 - 12

Published: Dec. 10, 2021

The restructuring of global value/supply chains gained increasing attention as the unprecedented COVID-19 echoed around world. Yet, related theory-driven, large scale quantitative, and empirical studies are relatively scarce. This study advances extant literature by empirically investigating how do firms in food value (GFVCs) re-imagine their businesses structure response to COVID-19-becoming more resilient competitive current pandemic similar future events. We leverage a unique data 231 senior managers Australian GFVCs examine firms' strategies. Drawing upon key insights from dynamic capability view, we find that GFVCs' competitiveness is achieved when exposure shocks elicits capabilities-readiness, response, recovery-and these capabilities work jointly sequentially cultivate resilience. A finding this with domestic plus chain partners than those having only business partners. implies excessive reliance on offshoring sometimes becomes lethal, especially amid unexpected prolonged and, therefore, companies should strike balance between remain competitive. These findings offer important contributions theory, practice, UN sustainable development goals.

Language: Английский

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Adapting supply chain operations in anticipation of and during the COVID-19 pandemic

Omega, Journal Year: 2022, Volume and Issue: 110, P. 102635 - 102635

Published: March 7, 2022

Language: Английский

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New paradigms in sustainable energy systems with hydrogen

Energy Conversion and Management, Journal Year: 2023, Volume and Issue: 283, P. 116950 - 116950

Published: March 24, 2023

Language: Английский

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Artificial intelligence-driven risk management for enhancing supply chain agility: A deep-learning-based dual-stage PLS-SEM-ANN analysis

International Journal of Production Research, Journal Year: 2022, Volume and Issue: 62(15), P. 5535 - 5555

Published: May 23, 2022

This study posits that the use of artificial intelligence (AI) enables supply chains (SCs) to dynamically react volatile environments, and alleviate potentially costly decision-makings for small-medium enterprises (SMEs). Building on a resource-based view, this work examines impact AI SC risk management SMEs. A structural model comprising AI-risk capabilities, re-engineering capabilities chain agility (SCA) was developed tested based data collected from executives, managers senior SMEs The main methodological approach used in is partial least squares-based equation modelling (PLS-SEM) neural network (ANN). results identified influences agility. Re-engineering further affect mediate PLS-SEM ANN were compared revealed consistency models B. Current levels demand uncertainties challenges making complex trade-off decisions require huge resources very limited time. With AI, it possible various scenarios answer crucial questions archaic infrastructures are not able to. combines multi-construct concept non-linear relationships model.

Language: Английский

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