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

LW Wong, GWH Tan, KB Ooi, B Lin… - International Journal of …, 2024 - Taylor & Francis
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 …

Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation

A Belhadi, V Mani, SS Kamble, SAR Khan… - Annals of Operations …, 2024 - Springer
Supply chain resilience (SCRes) and performance have become increasingly important in
the wake of the recent supply chain disruptions caused by subsequent pandemics and …

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 …

Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review

ED Zamani, C Smyth, S Gupta, D Dennehy - Annals of Operations …, 2023 - Springer
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 …

Examining the influence of big data analytics and additive manufacturing on supply chain risk control and resilience: An empirical study

S Gupta, S Bag, S Modgil… - Computers & Industrial …, 2022 - Elsevier
Drawing upon the contingent resource‐based perspective of supply chain resilience, this
study tests whether fourth industrial revolution (4IR) technologies such as big data analytics …

Supply chain risk management and artificial intelligence: state of the art and future research directions

G Baryannis, S Validi, S Dani… - International journal of …, 2019 - Taylor & Francis
Supply chain risk management (SCRM) encompasses a wide variety of strategies aiming to
identify, assess, mitigate and monitor unexpected events or conditions which might have an …

Artificial intelligence for supply chain resilience: learning from Covid-19

S Modgil, RK Singh, C Hannibal - The International Journal of …, 2022 - emerald.com
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 …

Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework

A Belhadi, S Kamble, S Fosso Wamba… - International Journal of …, 2022 - Taylor & Francis
Artificial Intelligence (AI) offers a promising solution for building and promoting more resilient
supply chains. However, the literature is highly dispersed regarding the application of AI in …

Impact of lean and agile strategies on supply chain risk management

W Ahmed, S Huma - Total Quality Management & Business …, 2021 - Taylor & Francis
In this competitive era when there are unforeseeable changes and high levels of
environmental instability in the market, supply chains are more focused on implementing …

Understanding supply chain analytics capabilities and agility for data-rich environments

S Fosso Wamba, S Akter - International Journal of Operations & …, 2019 - emerald.com
Purpose Big data-driven supply chain analytics capability (SCAC) is now emerging as the
next frontier of supply chain transformation. Yet, very few studies have been directed to …