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Artificial Intelligence and Innovation Management contributes to the ongoing debate among innovation scholars and practitioners focusing on the potential impact of Artificial Intelligence (AI) on the ways companies and organizations do business, operate and innovate. It considers AI as a source of innovation both in terms of innovation within the field of AI itself (AI innovation) and in terms of how it enables or disrupts innovation in other fields (AI-driven innovation).It is therefore both necessary and timely to explore the different aspects of the relationship between AI and IM. The contributors to this book include both scholars and practitioners from multiple countries and different types of institutions. They were selected based on their ability to provide a relevant distinctive perspective on the relationship between AI and IM the degree of their professional engagement with the field their ability to contribute to the thematic and contextual diversity of the contributions and their ability to provide actionable insights for both innovation scholars and practitioners.
Introduction
What AI Can Do for Innovation Managers and Innovation Managers for AI
A Knowledge-Based Perspective of Strategic AI Innovation Management
Addressing AI Traps: Realizing the Potential of AI for Innovation Trend Spotting, Monitoring and Decision-Making
Social Media Video Analysis for Entrepreneurial Opportunity Discovery in Artificial Intelligence
AI-Driven Innovation: Towards a Conceptual Framework
Automating Innovation
Artificial Intelligence as a Strategic Innovation Capability
Disrupting the Research Process through Artificial Intelligence: Towards a Research Agenda
The Potential of AI to Enhance the Value Propositions of New Companies Committed to Scale Early and Rapidly
Fair, Inclusive, and Anticipatory Leadership for AI Adoption and Innovation
Unveiling the Social Impact of AI through Living Labs
Innovation Management and Public Procurement of AI