LAYING THE GROUNDWORK: AI IN MATURITY MODEL DEVELOPMENT, SERIES PART 1

Maturity models have served as significant tools for organizations to evaluate and improve processes and performance across various domains. These models generally define levels of progression from initial or ad hoc processes to optimized, well-managed levels. The growing influence of artificial intelligence (AI) technologies has reshaped how maturity models are developed, implemented, and improved. This paper explores the impacts of AI on the creation and evolution of maturity models. Current technological trends accelerate model customization, increase predictive accuracy, and enable real-time feedback loops. The analysis identifies two foundational models and an example of the evolution through the fourth industrial revolution. This exploration further identifies the implications for software development and manufacturing industries to focus on how AI technologies can help organizations assess their current maturity and predict the steps needed to reach higher levels of performance. This work serves as the first part in a series that addresses human-centric AI in the development of maturity models.

Authors

Publication Details

Journal
Performance Improvement Journal
Published
2024-12-01
DOI
https://doi.org/10.56811/pij-25-0005
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
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article

LAYING THE GROUNDWORK: AI IN MATURITY MODEL DEVELOPMENT, SERIES PART 1

Darryl C. Draper-Amason, Mia Joe
Performance Improvement Journal
BIM and Construction Integration
article

LAYING THE GROUNDWORK: AI IN MATURITY MODEL DEVELOPMENT, SERIES PART 1

Darryl C. Draper-Amason, Mia Joe
article en

Abstract

Maturity models have served as significant tools for organizations to evaluate and improve processes and performance across various domains. These models generally define levels of progression from initial or ad hoc processes to optimized, well-managed levels. The growing influence of artificial intelligence (AI) technologies has reshaped how maturity models are developed, implemented, and improved. This paper explores the impacts of AI on the creation and evolution of maturity models. Current technological trends accelerate model customization, increase predictive accuracy, and enable real-time feedback loops. The analysis identifies two foundational models and an example of the evolution through the fourth industrial revolution. This exploration further identifies the implications for software development and manufacturing industries to focus on how AI technologies can help organizations assess their current maturity and predict the steps needed to reach higher levels of performance. This work serves as the first part in a series that addresses human-centric AI in the development of maturity models.

Performance Improvement JournalVol. 63(4)
Openalex Percentile: Top 70%
BIM and Construction Integration
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