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Description
Artificial intelligence is increasingly deployed in supply chain management, yet many organizations struggle to align adoption efforts with process readiness, data quality, governance, and workforce capabilities, and they still lack validated supply chain specific roadmap for assessing readiness, sequencing investments, and reducing implementation risk. This study develops and evaluates a Capability Maturity Model for Artificial Intelligence Integration in Supply Chain Management to address that gap. Using a design science research approach, the study synthesizes prior literature and practitioner knowledge to define maturity dimensions, capability indicators, and staged progression levels for AI integration in supply chain contexts. The artifact and assessment instrument were iteratively refined and validated through expert review using a Delphi based process to strengthen relevance, clarity, and practical usability. The resulting model enables organizations to assess current capability, identify priority gaps, and plan improvement actions aligned with operational goals across planning, design, and execution activities. A case-based application demonstrates how the instrument produces an organizational maturity profile and supports decision making on capability development priorities. This research contributes a practitioner ready assessment and planning tool and advances scholarship by offering a validated framework for staged and performance aligned AI integration in supply chain management.
Publication Date
Spring 3-26-2026
Keywords
Artificial Intelligence, Supply Chain Management, Capability Maturity Model, AI Integration, AI Readiness, Design Science Research, Delphi Method, Supply Chain Analytics, Supply Chain Resilience, Organizational Capability
Disciplines
Business | Business Administration, Management, and Operations | Business Analytics | Business and Corporate Communications | Business Intelligence | Computational Engineering | Computer and Systems Architecture | Computer Engineering | Data Storage Systems | Digital Circuits | Digital Communications and Networking | Dynamics and Dynamical Systems | Engineering | Industrial Technology | International Business | Leadership | Management Information Systems | Management Sciences and Quantitative Methods | Operational Research | Operations and Supply Chain Management | Operations Research, Systems Engineering and Industrial Engineering | Organizational Behavior and Theory | Other Business | Other Operations Research, Systems Engineering and Industrial Engineering | Portfolio and Security Analysis | Risk Analysis | Robotics | Strategic Management Policy | Systems and Communications | Systems Engineering | Systems Science | Technology and Innovation
Recommended Citation
Becklines, Lordt; El-Gayar, Omar F.; Brooks, Patti; and Park, Insu, "AI-SCM CMM: A Capability Maturity Model for Artificial Intelligence Integration in Supply Chain Management" (2026). Annual Research Symposium. 66.
https://scholar.dsu.edu/research-symposium/66
Included in
Business Analytics Commons, Business and Corporate Communications Commons, Business Intelligence Commons, Computational Engineering Commons, Computer and Systems Architecture Commons, Data Storage Systems Commons, Digital Circuits Commons, Digital Communications and Networking Commons, Dynamics and Dynamical Systems Commons, Industrial Technology Commons, International Business Commons, Leadership Commons, Management Information Systems Commons, Management Sciences and Quantitative Methods Commons, Operational Research Commons, Operations and Supply Chain Management Commons, Organizational Behavior and Theory Commons, Other Business Commons, Other Operations Research, Systems Engineering and Industrial Engineering Commons, Portfolio and Security Analysis Commons, Risk Analysis Commons, Robotics Commons, Strategic Management Policy Commons, Systems and Communications Commons, Systems Engineering Commons, Systems Science Commons, Technology and Innovation Commons