Business Models for Digital Transformation
1st Edition
9364448685
·
9789364448680
© 2026 | Published: May 12, 2026
About the Book:Business Models for Digital Transformation presents digital transformation as a business necessity rather than a choice. Organizations across industries are reimagining their operations, business models, and customer engagements throug…
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Chapter 1: Introduction to Digital Transformation
Chapter 2: Understanding Business Model Evolution
Chapter 3: Executing Digital Transformation Strategies
Chapter 4: Digital Strategy and Leadership
Chapter 5: Emerging Digital Business Models and Platforms
Chapter 6: Revenue Generation in Digital Business Models
Chapter 7: Key Emerging Technologies
Chapter 8: Data-Driven Decision-Making in Digital Business
Chapter 9: Competing in the Era of Artificial Intelligence
Chapter 10: Digital Transformation in Business Operations
Chapter 11: Security, Ethics, and Sustainability
Chapter 2: Understanding Business Model Evolution
Chapter 3: Executing Digital Transformation Strategies
Chapter 4: Digital Strategy and Leadership
Chapter 5: Emerging Digital Business Models and Platforms
Chapter 6: Revenue Generation in Digital Business Models
Chapter 7: Key Emerging Technologies
Chapter 8: Data-Driven Decision-Making in Digital Business
Chapter 9: Competing in the Era of Artificial Intelligence
Chapter 10: Digital Transformation in Business Operations
Chapter 11: Security, Ethics, and Sustainability
About the Book:
Business Models for Digital Transformation presents digital transformation as a business necessity rather than a choice. Organizations across industries are reimagining their operations, business models, and customer engagements through the intelligent use of data, cutting-edge technologies, and agile mindsets. Yet, digital transformation remains complex and multifaceted, requiring a deep understanding of not just technology, but also leadership, strategy, culture, and ecosystems. This textbook was conceived with the aim of bridging this complexity through an integrated, comprehensive, and practice-oriented approach. It is designed to serve as a definitive guide for students, educators, professionals, and decision-makers who seek to understand and lead digital transformation efforts in today’s rapidly evolving landscape.
Key Features:
• Examine new business models such as platform businesses, multisided markets, and freemium strategies for reshaping industries.
• Covers digital strategy, leadership, and transformation frameworks to align vision, technology, and business goals for successful transformation.
• Explains structured transformation frameworks that guide organizations through different stages of digital change.
• Includes emerging technologies like generative AI, machine learning, and NLP along with their ethical implications.
Business Models for Digital Transformation presents digital transformation as a business necessity rather than a choice. Organizations across industries are reimagining their operations, business models, and customer engagements through the intelligent use of data, cutting-edge technologies, and agile mindsets. Yet, digital transformation remains complex and multifaceted, requiring a deep understanding of not just technology, but also leadership, strategy, culture, and ecosystems. This textbook was conceived with the aim of bridging this complexity through an integrated, comprehensive, and practice-oriented approach. It is designed to serve as a definitive guide for students, educators, professionals, and decision-makers who seek to understand and lead digital transformation efforts in today’s rapidly evolving landscape.
Key Features:
• Examine new business models such as platform businesses, multisided markets, and freemium strategies for reshaping industries.
• Covers digital strategy, leadership, and transformation frameworks to align vision, technology, and business goals for successful transformation.
• Explains structured transformation frameworks that guide organizations through different stages of digital change.
• Includes emerging technologies like generative AI, machine learning, and NLP along with their ethical implications.