000			04353cam a2200397 i 4500
001			22191466
003			CSPC
005			20250905114218.0
008			210825s2022 si a b 001 0 eng
010			_a 2021042122
020			_a9781800611320 _q(hardcover)
035			_a22191466
040			_aDLC _beng _erda _cDLC _dDLC _dCSPC
042			_apcc
050	0	0	_aHD45 _b.A765 2022
082	0	0	_a658.4063 _bAr784 _223
245	0	0	_aArtificial intelligence and innovation management / _cedited by Stoyan Tanev and Helena Blackbright.
264		1	_aSingapore ; _aHackensack, New Jersey : _bWorld Scientific, _c2022.
300			_axx, 303 pages : _billustrations ; _c24 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aSeries on technology management, _x0219-9823 ; _vvol. 38
500			_a
504			_aIncludes bibliographical references and index.
505	0		_aWhat 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.
520			_a"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/)"-- _cProvided by publisher.
650		0	_aTechnological innovations _xManagement.
650		0	_aArtificial intelligence.
700	1		_aTanev, Stoyan, _eeditor.
700	1		_aBlackbright, Helena, _eeditor.
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK _e23 _h658.4063 _iAr784 _kGRD _m2022 _n0
999			_c30363 _d30363