AI Maturity in Business Strategic Framework, Governance and Evidence from Polish Enterprises

Preface

1. Introduction

1.1. Research Problem and Literature Gap

1.2. Objectives of the Book and Research Questions

1.3. Scope and Polish Context of Research

1.4. Structure of the Book

2. AI in Business: Technological and Organizational Context

2.1. Evolution and Current Waves of AI

2.2. Areas of AI Application in Enterprises

2.3. Determinants of AI Adoption in Enterprises

2.4. AI in Strategic Transformation and Value Creation

2.5. AI in Sustainable Development and Regulation

3. AI Maturity: Concepts, Models, and Research Gap

3.1. The Notion of Maturity in Organization and Management Studies

3.2. Review of Existing AI Maturity Models and Frameworks

3.3. Positioning AI Maturity in Relation to Digital and Data Maturity

3.4. Critique of Existing Approaches

3.5. Identified Research Gap

4. The Proposed AI Maturity Framework

4.1. Design Assumptions of the Model

4.2. Dimension 1: Strategic Leadership and AI Vision

4.3. Dimension 2: Data, Technology, and MLOps Foundations

4.4. Dimension 3: Human Capital, Skills, and Change Enablement

4.5. Dimension 4: Organizational Culture and Human–Technology Integration

4.6. Dimension 5: Governance, Risk, Ethics, and Regulatory Compliance (AI Act–Ready)

4.7. Dimension 6: Value Realization and Performance Measurement 

4.8. Maturity Levels

5. Research Design and Operationalization for Polish Enterprises

5.1. Conceptualization and Translation of the Model into Research Variables

5.2. Research Tool: Scales, Item Sources, Maturity Assessment Method

5.3. Sample and Industry Selection, Data Collection Procedure

5.4. Methods of Analysis

5.5. Research Limitations

6. AI Maturity in Selected Polish Industries: Empirical

6.1. Overall Level of AI Maturity in the Studied Sample

6.2. Sectoral and Size-Related Differences

6.3. Enterprise Profiles

6.4. Barriers and Success Factors in Polish Business Practice

7. Strategic Pathways to AI Maturity

7.1. Scenarios of Pathways for Low-Maturity Enterprises 

7.2. Scaling Scenarios for Intermediate Enterprises 

7.3. Scenarios for Advanced Enterprises

7.4. Implications for Data, Human Capital, and Culture Management 

7.5. Integrating Regulatory and Ethical Requirements into the Maturity Cycle

8. Future of AI Maturity: Ecosystem, Regulation, and Emerging Technologies

8.1. Impact of the Ecosystem on Maturity Models

8.2. Maturity-by-Regulation: How Regulation Will Enforce New Maturity Dimensions

8.3. Emerging Technologies and Model Updates

8.4. Directions for Future Research

9. Conclusions

9.1. Synthesis of Theoretical Findings

9.2. Synthesis of Empirical Findings for Polish Enterprises

9.3. Contribution to Theory and Practice

9.4. Research Limitations

Index

Biography

Bożena GAJDZIK is an associate professor in the Department of Industrial Informatics at the Silesian University of Technology, Poland. For more than two decades, her research has focused on engineering and management, particularly digital transformation of industries and steel market in the digital era, decarbonization of industry and sustainable development, innovation and business processes improvement. Her academic output comprises over 700 publications, including 33 monographs, released by national and international publishers and research conducted in cooperation with the business environment.  She's on Standford list of Top 2% scientist most cited across the globe from 2021 to now. Bibliometric indicators: Scopus indicators: citations – 2789, Hirsh index Scopus 29; Google Scholar – 7157 citations, Hirsh index Google Scholar 43.

Magdalena JACIOW is an Associate Professor in the Department of Digital Economy Research at the University of Economics in Katowice, Poland. For more than two decades, her research has focused on the behaviour of households and enterprises, and in recent years, on these processes in the context of the digital transformation of the economy. Her scholarly output includes more than 120 publications issued by Polish and international publishers, as well as scientific studies conducted in cooperation with international universities. Bibliometric indicators: Scopus – Hirsh index Scopus 11; Google Scholar –1180citations, Hirsh index Google Scholar 17.

Radosław WOLNIAK is a full-time professor at the Department of Economics and Informatics at the Silesian University of Technology, Poland. For over 20 years he has been dealing with the issues of management, including Industry 4.0, Smart City, digitalization, artificial intelligence. His achievements include over 700 publications issued by international publishers, as well as many undertakings and projects implemented in cooperation with the business environment. Bibliometric indicators: Scopus indicators: citations – 3342, Hirsh index Scopus - 32; Google indicators: citations – 15433, Hirsh index Google Scholar - 71. He's on Standford list of Top 2% scientist most cited across the globe for 2023 and 2024.

Robert WOLNY, is a Professor at the University of Economics in Katowice, Poland. PhD, Assoc. Professor.  Head of the Department of Digital Economy Research. For over 25 years, he has been focusing on issues related to the behaviour of market entities, including enterprises and households. He is the author/coauthor of over 160 scientific publications, including 6 monographs. He has served as the leader and as a participant in numerous scientific and research projects for economic practice. Scientific fields: e-services and behaviour of market entities in the digital economy. Bibliometric indicators: Scopus – Hirsh index Scopus 11; Google Scholar – 1404 citations, Hirsh index Google Scholar 20.