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Full Description
AI in Business Management: Bridging the Gap Between Technology and Strategy discusses how artificial intelligence might be used as a strategic enabler throughout contemporary organizations. The book makes AI accessible to business leaders, managers, and decision-makers, providing applied knowledge of how technological capabilities might be matched with corporate strategy. Interweaving case studies, real-world implementations, and forward-looking examination, it illustrates how AI may be used to fuel innovation, operational effectiveness, and competitive advantage when applied carefully within business models.
Designed for professionals, MBA students, consultants, and academics, the book equips readers with a balanced understanding of AI's potential and limitations. It addresses key themes such as digital transformation, ethical AI use, change management, and data-driven decision-making without requiring deep technical knowledge.
Readers will gain from practical frameworks, strategic planning resources, and advice on navigating AI adoption in different organizational environments. Whether a digital leader or an executive wanting to future-proof an enterprise, this book provides a critical guide to converting AI technology into strategic effect.
Contents
Chapter 1: AI Integration in Business Management Chapter 2: Strategic Integration of AI: Transforming Business Landscapes and Driving Innovation Chapter 3: Bridging the gap between AI Technology and Strategy for Business Goals Chapter 4: Artificial intelligence as a catalyst for entrepreneurial success Chapter 5: Artificial Intelligence, Fintech, and Challenges to Central Banks Chapter 6: The Role of AI in Bridging Operational and Strategic Gaps Chapter 7: Aligning Artificial Intelligence in Enhancing the Effectiveness of Emotional Intelligence over Accounting and Audit Professionals Chapter 8: AI Governance Models in Smart Cities: Comparative Analysis for Strategic Business Integration and Sustainable Urban Development Chapter 9: Strategic Integration of Artificial Intelligence in Disease Management: Driving Business and Healthcare Innovation Chapter 10: Integrating Artificial Intelligence in Hospital Business Strategy Chapter 11: Artificial Intelligence, Knowledge Management, and Green Innovation Chapter 12: Differential Privacy-Based Point of Interest Recommendation System Chapter 13: Bridging the Divide: Insights from Customer Perceptions towards AI in Banking Chapter 14: Artificial Intelligence and the Future of Business: The Role of AI in Shaping Business Leadership Chapter 15: Artificial Intelligence (AI)-Driven Leadership: Transforming Organizational Decision-Making in the Age of Workforce Automation
