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AI and Resilient Organizations: Human-Centered Design for Industry 5.0 [Kõva köide]

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  • Formaat: Hardback, 152 pages, kõrgus x laius: 216x138 mm, 11 Tables, black and white; 12 Line drawings, black and white; 12 Illustrations, black and white
  • Sari: Routledge Focus on Business and Management
  • Ilmumisaeg: 05-Jun-2026
  • Kirjastus: Routledge
  • ISBN-10: 1041280998
  • ISBN-13: 9781041280996
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AI and Resilient Organizations: Human-Centered Design for Industry 5.0Suurem pilt
  • Formaat: Hardback, 152 pages, kõrgus x laius: 216x138 mm, 11 Tables, black and white; 12 Line drawings, black and white; 12 Illustrations, black and white
  • Sari: Routledge Focus on Business and Management
  • Ilmumisaeg: 05-Jun-2026
  • Kirjastus: Routledge
  • ISBN-10: 1041280998
  • ISBN-13: 9781041280996
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781041280996.html
Märksõnad:

Artificial intelligence is no longer just a tool for automation; it is becoming the operating system of modern organizations. AI and Resilient Organizations explores how agentic, data-centric AI can enhance human creativity, ethics, and adaptability while building organizational resilience.

This interdisciplinary volume bridges technology, governance, and human-centered design, offering actionable insights for navigating the complexities of Industry 5.0 and beyond. It combines real-world case studies with rigorous research to demonstrate how conversational AI, LLM-powered data agents, and circular business models are transforming sectors like education, healthcare, and enterprise. It situates these developments within the European regulatory framework, including the AI Act, GDPR, and Digital Markets Act, showing how trust-based innovation can drive global competitiveness. Readers will gain practical guidance on managing digital sovereignty, operationalizing ethics-by-design, and building AI-resilient organizations capable of thriving in complex, rapidly evolving environments. Methodologically diverse, it blends empirical surveys, design-science modeling, and applied machine-learning experiments, ensuring academic rigor and practical relevance.

Designed for researchers, policymakers, leaders, and entrepreneurs seeking to move beyond AI hype and implement people-first strategies, this is an essential resource for postgraduate and executive programs in information systems, digital innovation, organizational strategy, and AI governance.



Artificial intelligence is no longer just a tool for automation; it is becoming the operating system of modern organizations. AI and Resilient Organizations explores how agentic, data-centric AI can enhance human creativity, ethics, and adaptability while building organizational resilience.

Part
1. From Data Foundations to Agentic Systems: The Technological
Pillars of Trustworthy AI
1. Talk to Your Data: Conversational Analytics and
AI-Driven Data Interaction in Modern Intelligent Cloud Data Platforms
2. What
Classical Analytical AI Teaches Us About Delivering Business-Ready Generative
AI
3. Risk-Management Practices to Manage Digital-Sovereignty Concerns Part
2. Applied Intelligence in Education and Business: HumanAI Collaboration in
Practice
4. AI Support in Higher Education: The Preliminary Comparative Study
Across the Polish Universities
5. Doing business with AI: how small
organizations use technology to level up?
6. AI-Supported Discovery: Helping
Product Teams Frame the Right Problems Part
3. From Compliance to Resilience:
Governance, Culture, and Circular Models
7. Beyond the Model: Behavior,
Culture, and Ethics in Industry 5.0
8. Designing AI-Resilient Organizations:
AI-Based Circular Models and Human-AI Integration Strategies
9. Navigating
Complexity in AI-Driven Industry 5.0: A Systems Approach to Human-Centric
Digital Transformation Part
4. Culture, Trust, and Ethics-by-Design in the AI
Economy
10. Adaptation and AI-Driven Marketing in the Context of Trust in
Data Privacy: The TEMU Case. A PolandChina Comparison
11. Ethics Inside: A
Socio-Technical Framework for the Moral Architecture of Artificial
Intelligence
12. The policy on the use of Artificial Intelligence tools at
selected Higher Education Institutions
Magdalena Kossowska-Lai is an Assistant Professor of Organizational Transformation, Innovation, and International Management at the Jagiellonian University, Poland.

Marcin Grzegorzek is a Full Professor and Head of the Medical Data Science Lab at the University of Lübeck and Scientific Director of the Research Department AI for Assistive Health Technologies at the German Research Center for Artificial Intelligence (DFKI) in Lübeck, and Founder of expandAI GmbH, Germany.

Anna Sotysik-Piorunkiewicz is an Associate Professor of Informatics and Communication in the Department of Informatics at the University of Economics in Katowice, Poland.

Witold Chmielarz is a Full Professor of Management at the University of Warsaw, Poland.