Artificial intelligence-driven supply chain resilience in Vietnamese manufacturing small-and medium-sized enterprises
PK Dey, S Chowdhury, A Abadie… - … Journal of Production …, 2023 - Taylor & Francis
Despite the exponential growth of artificial intelligence (AI) research in operations, supply
chain, and productions management literature, empirical insights on how organisational …
chain, and productions management literature, empirical insights on how organisational …
Artificial intelligence for supply chain resilience: learning from Covid-19
Purpose Many supply chains have faced disruption during Covid-19. Artificial intelligence
(AI) is one mechanism that can be used to improve supply chain resilience by developing …
(AI) is one mechanism that can be used to improve supply chain resilience by developing …
Artificial intelligence-driven risk management for enhancing supply chain agility: A deep-learning-based dual-stage PLS-SEM-ANN analysis
This study posits that the use of artificial intelligence (AI) enables supply chains (SCs) to
dynamically react to volatile environments, and alleviate potentially costly decision-makings …
dynamically react to volatile environments, and alleviate potentially costly decision-makings …
Antecedent configurations toward supply chain resilience: The joint impact of supply chain integration and big data analytics capability
Many antecedents identified as essential to supply chain resilience (SCR) are often studied
independently, without considering their synergistic effects. Based on a case study and …
independently, without considering their synergistic effects. Based on a case study and …
Big data analytics capability in building supply chain resilience: the moderating effect of innovation-focused complementary assets
Purpose This research investigates the mechanism by which big data capability enables
superior supply chain resilience (SCRe) by empirically examining the links among big data …
superior supply chain resilience (SCRe) by empirically examining the links among big data …
[HTML][HTML] Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review
Abstract Artificial Intelligence (AI) and Big Data Analytics (BDA) have the potential to
significantly improve resilience of supply chains and to facilitate more effective management …
significantly improve resilience of supply chains and to facilitate more effective management …
How big data analytics can help manufacturing companies strengthen supply chain resilience in the context of the COVID-19 pandemic
S Bag, P Dhamija, S Luthra, D Huisingh - The International Journal of …, 2023 - emerald.com
Purpose In this paper, the authors emphasize that COVID-19 pandemic is a serious
pandemic as it continues to cause deaths and long-term health effects, followed by the most …
pandemic as it continues to cause deaths and long-term health effects, followed by the most …
Modeling the artificial intelligence-based imperatives of industry 5.0 towards resilient supply chains: A post-COVID-19 pandemic perspective
The recent COVID-19 pandemic has significantly affected emerging economies' global
supply chains (SCs) by disrupting their manufacturing activities. To ensure business …
supply chains (SCs) by disrupting their manufacturing activities. To ensure business …
Artificial intelligence and prescriptive analytics for supply chain resilience: a systematic literature review and research agenda
C Smyth, D Dennehy, S Fosso Wamba… - … Journal of Production …, 2024 - Taylor & Francis
Artificial Intelligence (AI) and prescriptive analytics are increasingly being reported as
having transformative powers to enable resilient supply chains (SC). Despite such a benefit …
having transformative powers to enable resilient supply chains (SC). Despite such a benefit …
[HTML][HTML] The impact of industry 4.0 on supply chain capability and supply chain resilience: A dynamic resource-based view
Abstract Industry 4.0, a collection of emerging intelligent and digital technologies, has been
the main interest of both researchers and practitioners in operations management (OM) in …
the main interest of both researchers and practitioners in operations management (OM) in …