The proposed framework explains how AI technologies are converted, through supply chain capabilities, into resilience outcomes, and it specifies the boundary conditions—digital maturity, data quality and governance, human oversight, and organizational readiness—that moderate this process.
This study examines how artificial intelligence contributes to building resilient and sustainable supply chains, investigating the mechanisms through which AI generates these outcomes and the organizational conditions that moderate their realization, and builds a three-layer framework that reframes AI investment decisi...
Bushra Ansari, Amjid Khan, Raja Usman· Journal of Business Insight...· 0 citations
This study examines how artificial intelligence (AI) creates strategic value in supply chain management (SCM) by integrating technological capabilities, organizational agility, and human expertise. Using a mixed-methods design, the study combines quantitative survey data from 250 global supply chain executives with thr...
S. Dzreke· International Journal of Man...· 0 citations
This thesis analyzes studies focusing on the use of Industry 4.0 technologies to enhance supply chain resilience in the automotive sector, which is of critical importance in the face of contemporary crises such as the microchip shortage and the COVID-19 pandemic. It examines how technological solutions mitigate logisti...
This conceptual overview investigates progress in the areas of Supply Chain optimization and Intelligent Business analysis, and aims to bring together the emerging global research stream of the six thematic areas of Artificial Intelligence and machine learning, Big Data analytics, Internet of Things, Predictive and Pre...
Mercy Chinenye Chukwu· Iconic research and engineer...· 0 citations
Considering the increasing role of global supply chains, which face increasing disruptions from pandemics, geopolitical conflicts, and market uncertainty, this highlights the need for resilience to sustain long-term growth. Supply chain resilience (SCR) enables organizations to anticipate, respond, and recover from dis...
Nopriadi Saputra, Raymond Immanuel Suryanto, Geraldus Kurniawan Suandi et al.· International Conferences on...· 0 citations
Artificial intelligence (AI) applications in supply chain management (SCM) have surged since 2016, with a pronounced acceleration after 2021, driven by advances in machine learning, robust data infrastructures, and the digitization of supply chain processes. This study analyzes the evolution of the field through biblio...
Usama Saleem· International Journal of Ser...· 0 citations
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