AI Maturity in Business

Strategic Framework, Governance and Evidence from Polish Enterprises
1. Auflage 2026
ISBN: 978-1-041-31673-2
Verlag: Taylor & Francis Ltd

Buch, Englisch, 246 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 527 g

The book examines how enterprises develop, embed, and govern AI capabilities as part of their strategic and operational transformation. Bridging fragmented discussions across management studies, information systems, and computer science, the monograph introduces a multidimensional AI maturity framework that places technological advancement within broader strategic, human, cultural, and regulatory contexts. The framework integrates six key dimensions—leadership and AI vision; data and technology foundations; human capital and change enablement; organizational culture; governance, ethics, and compliance; and value realization—providing a holistic lens for understanding how organizations progress from initial experimentation to fully optimized, responsibly governed AI operations. The empirical part relies on an original survey of around 600 enterprises of various industries and sizes.

Key Features:

- Integrates cutting-edge thinking on AI maturity with a rigorously tested, multidimensional framework that aligns with the emerging European regulatory landscape, including the AI Act and CSRD.

- Presents the first large-scale, data-driven assessment of AI maturity in Polish enterprises, offering rare and valuable insight into how organizations in Central and Eastern Europe are approaching AI adoption.

- Introduces a comprehensive six-dimension model that captures the strategic, technological, human, cultural, governance, and value-creation aspects of building AI capabilities inside organizations.

- Provides practical diagnostic tools and clear development pathways—ranging from foundational to transformational—that help managers, policymakers, and consultants plan investments, build competencies, and navigate compliance expectations.

- Bridges academic rigor with real-world relevance by combining quantitative analysis with qualitative depth, supporting researchers and practitioners who need reliable benchmarks and comparative perspectives on AI-enabled transformation.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Gajdzik, Bozena

Jaciow, Magdalena

Wolniak, Radoslaw

Wolny, Robert

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Produktionsmanagement, Qualitätskontrolle
• Wirtschaftswissenschaften Betriebswirtschaft Management Wissensmanagement
• Wirtschaftswissenschaften Betriebswirtschaft Management Strategisches Management
• Technische Wissenschaften Technik Allgemein Industrial Engineering
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Marketing

Inhaltsverzeichnis

Preface. 1. Introduction. 2. AI in Business: Technological and Organizational Context. 3. AI Maturity: Concepts, Models, and Research Gap. 4. The Proposed AI Maturity Framework. 5. Research Design and Operationalization for Polish Enterprises. 6. AI Maturity in Selected Polish Industries: Empirical Findings. 7. Strategic Pathways to AI Maturity. 8. Future of AI Maturity: Ecosystem, Regulation, and Emerging Technologies. 9. Conclusions. Index.

Über Autor(innen)

Bozena 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.

Radoslaw 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.