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Complete

Abstract

Organizations increasingly deploy artificial intelligence in supply chain management (SCM), yet many initiatives stall after pilots because data products, integration routines, governance controls, and decision rights mature unevenly. This study develops an AI integration capability maturity model for supply chain management (AI-SCM CMM), structured around six operational capability dimensions and five staged maturity levels, and presents a concise assessment operationalization for diagnosis and roadmapping. Following design science research, we synthesize constructs through a structured literature review and refine capability definitions, maturity staging, and evidence anchors through multi-round Delphi expert review. We report initial evidence on traceability, content validity, demonstration utility, and exploratory reliability. These

Paper Number

1145

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Aug 15th, 12:00 AM

Toward a Capability Maturity Model for Artificial Intelligence Integration in Supply Chain Management: Development and Preliminary Validation

Organizations increasingly deploy artificial intelligence in supply chain management (SCM), yet many initiatives stall after pilots because data products, integration routines, governance controls, and decision rights mature unevenly. This study develops an AI integration capability maturity model for supply chain management (AI-SCM CMM), structured around six operational capability dimensions and five staged maturity levels, and presents a concise assessment operationalization for diagnosis and roadmapping. Following design science research, we synthesize constructs through a structured literature review and refine capability definitions, maturity staging, and evidence anchors through multi-round Delphi expert review. We report initial evidence on traceability, content validity, demonstration utility, and exploratory reliability. These