AI in business management : bridging the gap between technology and strategy

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.

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Bibliographic Details
Other Authors Pandey, Jay Kumar, 1987- (Editor), Rai, Mritunjay, 1985- (Editor), Ray, Samrat, 1980- (Editor)
Format Electronic eBook
LanguageEnglish
Published New York : Routledge/Productivity Press, 2026.
Subjects
Artificial intelligence > Business applications.
Technological innovations > Management.
elektronické knihy
electronic books
Online AccessFull text
ISBN9781040450888
1040450881
9781003614074
1003614078
9781040450895
104045089X
9781041012962
Physical Description1 online resource (427 pages)

Cover

Table of Contents:
  • Cover
  • Half Title
  • Title Page
  • Copyright Page
  • Table of Contents
  • Preface
  • Acknowledgments
  • Abbreviations
  • Editors' Bios
  • Contributors
  • Chapter 1: AI Integration in Business Management
  • 1.1 Introduction
  • 1.2 Literature Review
  • 1.3 Historical Perspective on AI Integration
  • 1.4 Operational Efficiency and Customer Relationship Management
  • 1.5 Methodological Approaches to AI Integration
  • 1.6 Theoretical Perspectives on AI Integration
  • 1.6.1 Methodology
  • 1.6.2 Data Collection
  • 1.6.3 Data Analysis
  • 1.6.4 Limitations and Future Considerations
  • 1.7 Results
  • 1.8 Conclusion
  • 1.9 Discussion
  • References
  • Chapter 2: Strategic Integration of AI: Transforming Business Landscapes and Driving Innovation
  • 2.1 Introduction
  • 2.1.1 Types of AI: Narrow AI, General AI, and Super AI
  • 2.1.2 Importance of AI in Modern Business
  • 2.1.3 Aligning AI Strategies with Business Goals
  • 2.2 The Foundations of AI Integration: Assessing Organizational Readiness for AI
  • 2.3 Building an AI-Ready Infrastructure
  • 2.4 AI in Operations and Supply Chain
  • 2.5 AI in Finance and Risk Management
  • 2.6 AI and Workforce Transformation
  • 2.6.1 Workforce Upskilling and Training
  • 2.6.2 Strategic AI Implementation: Crafting a Comprehensive Strategy
  • 2.6.3 Pilot Projects and Scaling AI Solutions
  • 2.6.4 Measuring and Sustaining AI Impact
  • 2.6.5 Continuous Improvement and Iteration
  • 2.6.6 Long-term Sustainability
  • 2.6.7 AI and the Future of Business Innovation
  • 2.6.8 AI as a Catalyst for Disruption
  • 2.7 Future Challenges and Opportunities
  • 2.8 Conclusion
  • References
  • Chapter 3: Bridging the Gap between AI Technology and Strategy for Business Goals
  • 3.1 Introduction
  • 3.1.1 Importance of AI in Modern Business
  • 3.1.2 Understanding the Role of AI in Business
  • 3.2 Case Research and Practical Examples
  • 3.3 Challenges and Considerations
  • 3.4 The Future of AI in Business
  • 3.5 Challenges in Aligning Technology with Strategy
  • 3.6 Objectives of the Study
  • 3.7 Overview of AI Technologies in Business
  • 3.7.1 Advanced AI Technologies and Applications
  • 3.7.2 Key Benefits of AI Adoption
  • 3.7.3 Bridging the Gap: AI Technology and Business Strategy
  • 3.8 Frameworks for Technology-Strategy Integration
  • 3.9 Ethical and Organizational Considerations
  • 3.10 Conclusion
  • References
  • Chapter 4: Artificial Intelligence as a Catalyst for Entrepreneurial Success
  • 4.1 Introduction
  • 4.1.1 Entrepreneur 4.0 and Its Features
  • 4.1.2 The Role of Artificial Intelligence in Entrepreneurship: A Comprehensive Theoretical Perspective
  • 4.1.2.1 Artificial Intelligence and Innovation
  • 4.1.2.2 Artificial Intelligence and Decision-Making
  • 4.1.2.3 Artificial Intelligence and Market Identification
  • 4.1.2.4 Artificial Intelligence and Operational Efficiency
  • 4.1.3 Artificial Intelligence as a Catalyst for Entrepreneurial Success
  • 4.1.3.1 Process Optimization

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