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Full Description
This edited volume explores AI-driven digital transformation from the perspective of a well-established higher education institution. Featuring 23 chapters organized into six thematic areas—Decision Support, Data Processing, Marketing and Product Development, Supply Chains, Finance, and Foundational Issues— it provides practical examples of how business school departments can implement AI to foster innovation.
Each chapter presents accessible case studies demonstrating AI applications in business, highlighting both benefits and risks. The volume bridges the gap between AI advancement and practical industry needs, offering actionable insights for integrating AI into decision-making, organizational processes, and curriculum development. Key contributions include demonstrating AI as a strategic enabler, positioning business schools as catalysts for change, recognizing sector-specific impacts, emphasizing ethical foundations, and promoting collaboration between academia, industry, and policymakers. This comprehensive resource equips educators and decision-makers with the knowledge and methods necessary to thrive in the era of AI-driven innovation and serves as a strategic blueprint for business schools to lead AI-driven transformation while maintaining ethical considerations.
AI-Driven Digital Transformation will appeal to scholars and students of AI, technology, innovation management, and business education. It will also be of interest to business school leaders responsible for institutional strategies, educators creating study programs, curriculum specialists, and business leaders seeking AI implementation guidance within their expertise areas.
Contents
Part I - Decision Support 1. Business Schools in the Era of Artificial Intelligence 2. Smarter Decisions, New Challenges: AI's Role in Startups' Strategic Decision-Making 3. The Use of Generative AI in Automated Assessment of Data Models in Business Intelligence Systems Part II - Knowledge and Data Processing 4. Bridging Knowledge Graphs and LLMs: Enhancing Text Generation and Knowledge Extraction 5. Intelligent Automation in Data Analysis: How Generative Models Revolutionize Analysts' Work 6. Enhancing Visual Reports Through Generative AI Image-Reading Capabilities Part III - Marketing and Product Development 7. Influence of Country of Origin on AI Perceptions: A Comparative Study of Polish and German Perspectives 8. Creating Customer Value in Times of Technological (R)evolution: The Success of Blix Group's Smart Shopping Applications and Future AI-Related Challenges 9. The Impact of Digital Transformation on the Packaging Industry 10. Predictive Analytics and Artificial Intelligence for Greener Product Design 11. Intelligent Food Automation: How NIR Coupled with AI Can Transform the Food Industry? Part IV - Supply Chains 12. Enhancing Machine Learning Interpretability for Supply Chain Risk Management: A LLM-Powered Approach 13. Effect of AI and GAI on Supply Chain Operations and Workforce 14. AI and the Development of Mobility 15. The Adoption of Autonomous Technologies in the Polish TFL Sector and the Implications of Digital Transformation Part V - Finance 16. Application of AI and RPA in Accounting and Corporate Finance. Economic and Social Consequences 17. Advancing EU VAT Systems with AI and E-Invoicing 18. Digital Transformation in Banking. How Artificial Intelligence Can Transform Legacy Core Banking Systems Part VI - Foundational Issues (Law, Ethics, Education) 19. Calling the Tune! How AI Act Recitals Set the Tone for AI Governance 20. (E)DIHs Strengthening the Adaptability of SMEs in the AI-Driven Digital Transformation 21. Evaluation and Verification of the Quality of AI-Generated Information Using ChatGPT as an Example 22. Cultural Conditions of Scientific Discourse on AI Ethics 23. Empowering Adults in AI: A Framework for Enhancing Critical Skills
