04353cam a2200397 i 4500 22191466 CSPC 20250905114218.0 210825s2022 si a b 001 0 eng 2021042122 9781800611320 (hardcover) 22191466 DLC eng rda DLC DLC CSPC pcc HD45 .A765 2022 658.4063 Ar784 23 Artificial intelligence and innovation management / edited by Stoyan Tanev and Helena Blackbright. Singapore ; Hackensack, New Jersey : World Scientific, 2022. xx, 303 pages : illustrations ; 24 cm. text txt rdacontent unmediated n rdamedia volume nc rdacarrier Series on technology management, 0219-9823 ; vol. 38 Includes bibliographical references and index. 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 -- 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. "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). The book's content is driven by several important conclusions: AI has a great potential for innovation, but this potential is associated with significant challenges. There are different views on how to implement AI in innovation management but little agreement and guidance on how to do it. AI not only has the potential to produce radically new innovations, but also to rethink innovation management in general. Deeper knowledge about the innovative impact of AI technologies would be highly relevant to both practitioners and academics within the field of IM. It is therefore both necessary and timely to explore the different aspects of the relationship between AI and Innovation Management (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. Helena Blackbright (Mälardalen University, Sweden) and Stoyan Tanev (Carleton University, Canada) are chairing the Special Interest Group on AI and IM at the International Society for Professional Innovation Management (https://www.ispim-innovation.com/)"-- Provided by publisher. Technological innovations Management. Artificial intelligence. Tanev, Stoyan, editor. Blackbright, Helena, editor. 7 cbc orignew 1 ecip 20 y-gencatlg ddc BK 23 658.4063 Ar784 GRD 2022 0 0 0 ddc 0 0 CSPC CSPC GRD 2025-09-04 0 GRD 658.4063 Ar784 2022 030299 2025-09-04 17:17:38 1-2 2025-09-04 BK 0 0 ddc 0 0 CSPC CSPC GRD 2025-09-04 0 GRD 658.4063 Ar784 2022 030300 2025-09-04 00:00:00 2-2 2025-09-04 BK 30363 30363