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Taylor & Francis – AI Innovation in Business 2026

Updated August 10, 2026 1.2 MB
Taylor & Francis – AI Innovation in Business 2026

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Description

In AI Innovation in Business, Joni Holmström attempts to break down the stereotypes and hype surrounding AI and present a strategic, managerial, and realistic view of the technology. He argues that successful adoption of AI is not simply a technical challenge, but a profound organizational transformation that requires new ways of thinking and collaboration beyond the boundaries of a single company. By introducing an “ecosystem approach,” the book shows business leaders how to turn fragmented AI experiments into sustainable business value.

Combining real-world case studies, pragmatic frameworks, and the latest scientific research, the author provides a comprehensive roadmap for sustainable innovation. The book covers critical topics such as assessing an organization’s readiness for AI, developing data-driven strategies, and addressing ethical and legal challenges. This book serves as a practical guide for executives and technology professionals to use AI not as a mere tool, but as the engine that drives their business future.

Book Features

  • Focus on the strategic and managerial aspects of AI rather than purely technical and coding topics.
  • Explaining the three-perspective approach including the organizational perspective, the communication perspective, and the ecosystem perspective in business.
  • Providing frameworks for measuring organizations’ readiness (AI Readiness) before making large investments.
  • An in-depth look at the relationship between data strategy and AI strategy in large companies.
  • Analyzing the social impacts, ethical responsibility, and legal requirements of machine-driven decision-making.

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AI Innovation in Business

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AI Innovation in Business

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What is included

  • Focus on the strategic and managerial aspects of AI rather than purely technical and coding topics.
  • Explaining the three-perspective approach including the organizational perspective, the communication perspective, and the ecosystem perspective in business.
  • Providing frameworks for measuring organizations’ readiness (AI Readiness) before making large investments.
  • An in-depth look at the relationship between data strategy and AI strategy in large companies.
  • Analyzing the social impacts, ethical responsibility, and legal requirements of machine-driven decision-making.