Integrated Intelligence as a Competitive AdvantageHow can companies profit from artificial intelligence? So far, most firms use AI tools primarily for enhancing efficiency and automating jobs.However, artificial intelligence provides many more opportunities!Ulrich Lichtenthaler shows that companies can achieve an unbeatable competitive advantage by making AI a core part of their innovationstrategies. The targeted integration of human and artificial intelligence, which goes beyond standardized applications, enables an enhancedform of intelligence, a super-intelligence or Intelligence x.This…mehr
Integrated Intelligence as a Competitive AdvantageHow can companies profit from artificial intelligence? So far, most firms use AI tools primarily for enhancing efficiency and automating jobs.However, artificial intelligence provides many more opportunities!Ulrich Lichtenthaler shows that companies can achieve an unbeatable competitive advantage by making AI a core part of their innovationstrategies. The targeted integration of human and artificial intelligence, which goes beyond standardized applications, enables an enhancedform of intelligence, a super-intelligence or Intelligence x.This book will show executives, HR professionals, and consultants how to gradually develop Intelligence x in large and medium-sized organizations and how to use SMART leadership principles and the I3 - Integrated Intelligence Incubator as tools for building a unique intelligence architecture.With detailed guidelines for implementation and with many examples from the world's most innovative companiesas well as from start-ups,»Integrated Intelligence« reveals how executives can achieve a sustainable competitive advantage through intelligence-based business models.
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Autorenporträt
Ulrich Lichtenthaler is Professor of Management and Entrepreneurship at ISM - International School of Management in Cologne, Germany.Ulrich Lichtenthaler ist Professor für Management und Entrepreneurship an der ISM - International School of Management in Köln. Er gilt als einer der führenden akademischen Experten zum Management Künstlicher Intelligenz und verfasste zahlreiche Artikel zum Thema für internationale Publikationen wie die MIT Sloan Management Review und das Wall Street Journal.
Inhaltsangabe
ContentsPreface 9Part A: Relevance 11Chapter 1The competitive relevance of artificial intelligence 13AI has come a long way 16There is a long road ahead 20Chapter 2The isolated ignorance of many established businesses 25How do firms respond to recent advances in AI? 26How does the historical evolution matter? 30How does your company score? 34Chapter 3The strategic focus of the world's most innovative companies 37How can we identify the world's most innovative companies? 40Which are the world's most innovative firms? 44What importance does AI havefor the most innovative firms? 48Part B: Framework 53Chapter 4An intelligence-based view of company performance 55From a knowledge-based to an intelligence-based view 57Human and artificial intelligence 60Implications of an intelligence-based view 66Chapter 5Combining and complementing humanand artificial intelligence 714S framework for interplays of humanand artificial intelligence 72Complementarity of human and artificial intelligence 77Implications of complementarity 80Chapter 6Renewing and recombining humanand artificial intelligence 83From digital transformation to intelligence transformation 83Intelligence renewal and recombination 87Transformation steps 90Part C: Strategy 95Chapter 7Business innovation and evolutionary fitness 97Digital and non-digital innovation 98Technical and evolutionary fitness 102Intelligence and meta-intelligence 105Chapter 8Core competencies and competitive advantage 109Markets for intelligence 111Sustainability of competitive advantage 115Sources of competitive advantage 119Chapter 9Value creation and value capture 123Overemphasis on technology 126Importance of the business model 128Balancing the business model 131Part D: Organization 135Chapter 10Internal organization and external ecosystems 137Boundaries of the company 138Internal factors at multiple levels 141External factors at multiple levels 145Chapter 11The No-Human-Interaction paradox 151The paradox of positive and negative attitudes 153Roots of attitudes 157Managing the paradox 160Chapter 12The SMART leadership framework 163SMART leadership principles 165Implementing SMART leadership 172Part E: Implementation 177Chapter 13Corporate initiatives and moving from HR to HAIR 179Managing corporate AI initiatives 180The role of the C-suite 184Moving from HR to HAIR 187Chapter 14The I3 - Integrated Intelligence Incubator 191I3 - Integrated Intelligence Incubator 192Company canvas 195Project canvas 201Implementation checklist 208Chapter 15Avoiding typical pitfalls in execution 215Technology domain 217Market domain 219Management domain 221Avoiding the pitfalls 224Conclusion and outlook 227List of figures 231List of tables 233List of abbreviations 235Endnotes 237Index 247
ContentsPreface 9Part A: Relevance 11Chapter 1The competitive relevance of artificial intelligence 13AI has come a long way 16There is a long road ahead 20Chapter 2The isolated ignorance of many established businesses 25How do firms respond to recent advances in AI? 26How does the historical evolution matter? 30How does your company score? 34Chapter 3The strategic focus of the world's most innovative companies 37How can we identify the world's most innovative companies? 40Which are the world's most innovative firms? 44What importance does AI havefor the most innovative firms? 48Part B: Framework 53Chapter 4An intelligence-based view of company performance 55From a knowledge-based to an intelligence-based view 57Human and artificial intelligence 60Implications of an intelligence-based view 66Chapter 5Combining and complementing humanand artificial intelligence 714S framework for interplays of humanand artificial intelligence 72Complementarity of human and artificial intelligence 77Implications of complementarity 80Chapter 6Renewing and recombining humanand artificial intelligence 83From digital transformation to intelligence transformation 83Intelligence renewal and recombination 87Transformation steps 90Part C: Strategy 95Chapter 7Business innovation and evolutionary fitness 97Digital and non-digital innovation 98Technical and evolutionary fitness 102Intelligence and meta-intelligence 105Chapter 8Core competencies and competitive advantage 109Markets for intelligence 111Sustainability of competitive advantage 115Sources of competitive advantage 119Chapter 9Value creation and value capture 123Overemphasis on technology 126Importance of the business model 128Balancing the business model 131Part D: Organization 135Chapter 10Internal organization and external ecosystems 137Boundaries of the company 138Internal factors at multiple levels 141External factors at multiple levels 145Chapter 11The No-Human-Interaction paradox 151The paradox of positive and negative attitudes 153Roots of attitudes 157Managing the paradox 160Chapter 12The SMART leadership framework 163SMART leadership principles 165Implementing SMART leadership 172Part E: Implementation 177Chapter 13Corporate initiatives and moving from HR to HAIR 179Managing corporate AI initiatives 180The role of the C-suite 184Moving from HR to HAIR 187Chapter 14The I3 - Integrated Intelligence Incubator 191I3 - Integrated Intelligence Incubator 192Company canvas 195Project canvas 201Implementation checklist 208Chapter 15Avoiding typical pitfalls in execution 215Technology domain 217Market domain 219Management domain 221Avoiding the pitfalls 224Conclusion and outlook 227List of figures 231List of tables 233List of abbreviations 235Endnotes 237Index 247
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