Dimensions of Artificial Intelligence Maturity Models in Supply Chain Management: A Systematic Literature Review

In an era where Artificial Intelligence (AI) is revolutionizing industries, understanding its integration within Supply Chain Management (SCM) is paramount. The burgeoning integration of AI into SCM necessitates a robust framework to assess the readiness and maturity of supply chains in adopting AI technologies. The study identifies existing SCM maturity models, delineates their dimensions, and examines the challenges associated with employing these models to measure the maturity level of SCM with respect to integrating AI. By synthesizing the findings, this study underscores AI’s role in optimizing SCM, highlighting key maturity dimensions, enriching the AI maturity discourse, proposing a dimensionality tailored to SCM’s unique demands, and practically it advocates for the development of standardized capability maturity model (CMM) to guide organizations towards AI-driven SCM excellence that navigates digital transformation, enhancing competitive advantage and addressing SCM challenges.

Publication Details

Journal
Journal of the Association for Information Systems
Published
2025-08-15
Primary Topic
Magnetic confinement fusion research
Type
article
Field-Weighted Citation Impact
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article

Dimensions of Artificial Intelligence Maturity Models in Supply Chain Management: A Systematic Literature Review

Journal of the Association for Information Systems
Magnetic confinement fusion research
article

Dimensions of Artificial Intelligence Maturity Models in Supply Chain Management: A Systematic Literature Review

article en

Abstract

In an era where Artificial Intelligence (AI) is revolutionizing industries, understanding its integration within Supply Chain Management (SCM) is paramount. The burgeoning integration of AI into SCM necessitates a robust framework to assess the readiness and maturity of supply chains in adopting AI technologies. The study identifies existing SCM maturity models, delineates their dimensions, and examines the challenges associated with employing these models to measure the maturity level of SCM with respect to integrating AI. By synthesizing the findings, this study underscores AI’s role in optimizing SCM, highlighting key maturity dimensions, enriching the AI maturity discourse, proposing a dimensionality tailored to SCM’s unique demands, and practically it advocates for the development of standardized capability maturity model (CMM) to guide organizations towards AI-driven SCM excellence that navigates digital transformation, enhancing competitive advantage and addressing SCM challenges.

Journal of the Association for Information Systems
Industry, innovation and infrastructure
Openalex Percentile: Top 69%
Magnetic confinement fusion research
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Dimensions of Artificial Intelligence Maturity Models in Supply Chain Management: A Systematic Literature Review · Journal of the Association for Information Systems (2025) | TGRS Research Map | TGRS