Artificial intelligence in supply chain management: theory and applications

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Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework (2021, background): “Typically, AI algorithms are inspired by the way human cognitive systems and natural organisms operate to process information through learning, adaptation, reproduction and survival (Min 2009).”
The adoption of digital technologies in supply chains: Drivers, process and impact (2021, background): “This is crucial for firms to gain a competitive advantage, because an accurate prediction of market demands and production could massively reduce time and cost, and improve operational efficiency (Min, 2010; Tiwari et al., 2018).”
Artificial intelligence in operations management and supply chain management: an exploratory case study (2021, background): “It uses an interconnected network of computer memories to achieve the learning from precedent examples and experience, and to distinguish features, recognise patterns, cluster objects, and process ambiguous or abstract information (Min 2010; Singh and Challa 2016).”
Artificial intelligence in supply chain management: A systematic literature review (2021, background): “A literature review by Min (2010) explores different subfields of AI that are suitable for solving practical problems relevant to SCM. Chong and Bai (2014) examine the predictors of open inter-organisational system adoption, using RosettaNet as a case study.”