Paper Type
Complete
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.
Paper Number
2036
Recommended Citation
Becklines, Lordt and El-Gayar, Omar, "Dimensions of Artificial Intelligence Maturity Models in Supply Chain Management: A Systematic Literature Review" (2025). AMCIS 2025 Proceedings. 14.
https://aisel.aisnet.org/amcis2025/sig_osra/sig_osra/14
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.
When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.
Comments
SIGOSRA