ANDRZEJ WODECKI ARTIFICIAL INTELLIGENCE IN VALUE CREATION Improving Competitive Advantage Artificial Intelligence in Value Creation Andrzej Wodecki Artificial Intelligence in Value Creation Improving Competitive Advantage Andrzej Wodecki Warsaw University of Technology Warsaw, Poland ISBN 978-3-319-91595-1 ISBN 978-3-319-91596-8 (eBook) https://doi.org/10.1007/978-3-319-91596-8 Library of Congress Control Number: 2018944444 © The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer International Publishing AG, part of Springer Nature 2019 This work is subject to copyright. 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Printed on acid-free paper This Palgrave Macmillan imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland Contents 1 Value Creation and Competitive Advantage Models 1 1.1 I ntroduction 1 1.2 Th e Value Creation and Competitive Advantage Models 5 1.2.1 Introduction 6 1.2.2 The Influence of Technology on the Logics of Value Creation 7 1.2.3 Value Chains 10 1.2.4 Motivation for Extending the Concept of Value Chains 15 1.2.5 Value Constellations 17 1.2.6 Value Shops 18 1.2.7 Value Networks 23 1.2.8 Value Grids 33 1.2.9 Value Structures in Service-Dominated Logics 38 1.2.10 Conclusion 41 1.3 Th e Role of Data, Information and Knowledge in Value Generation 43 1.3.1 Knowledge as a Key Resource of an Organization 43 1.3.2 Data, Information, Knowledge and Wisdom in Knowledge Management 44 1.3.3 The Concept of the Knowledge Value Chain 46 v vi Contents 1.3.4 Transformation Processes in the Knowledge Chain 47 1.4 The Influence of Information Technologies on Value Configurations and Competition 50 1.4.1 Liquified Information in the Value Chain 50 1.4.2 Impact of Information Technologies on the Value Chain 51 1.4.3 The Impact of Information Systems on Competitiveness and Value Structures 52 1.5 Value Networks in the Telecommunications and IT Industries 55 1.5.1 Motivation for the Development of New Methods for Assessing Business Potential in the IT and Telecommunications Industries 55 1.5.2 The Model of Control Points as the Basis of the Business Potential Analysis Method 56 1.5.3 The Value Network Models in the Telecommunications and Digital Media Industries 59 1.6 Competencies Necessary to Achieve a Competitive Advantage 63 1.7 Summary 65 References 66 2 Artificial Intelligence Methods and Techniques 71 2.1 Data, Information and Knowledge in Contemporary Information Systems 72 2.1.1 Smart, Connected Products 72 2.1.2 Data Sources 74 2.1.3 Data Complexity 77 2.1.4 Data Processing Methods 79 2.1.5 Conclusion 84 2.2 C oncept and Basic Methods of Artificial Intelligence 86 2.2.1 Definitions of Artificial Intelligence 86 2.2.2 Classification of Environments 92 Conten ts vii 2.2.3 Solving Problems by Searching 95 2.2.4 Knowledge and Planning in Certain Situations 100 2.2.5 Knowledge and Planning in a State of Uncertainty 104 2.2.6 Learning 106 2.2.7 Perception, Communication and Action 109 2.2.8 Creative and Prognostic Capabilities 110 2.2.9 Summary 113 2.3 The Most Important AI Technologies 114 2.3.1 Classification of AI Technologies 114 2.4 Cognitive Computing Systems 119 2.4.1 Features of Cognitive Computing Systems 120 2.4.2 Components and Principles of Cognitive Computing Systems Design 122 2.4.3 CC Systems as a New Quality in Management 126 2.5 Summary 129 References 130 3 Influence of Artificial Intelligence on Activities and Competitiveness of an Organization 133 3.1 Objectives, Subject, Method and Quantitative Analysis of Research Results 134 3.1.1 Objectives and the Subject of Research 134 3.1.2 Research Methodology 134 3.1.3 Detailed Analysis of Value Offered 137 3.2 Adoption of Artificial Intelligence Systems in Contemporary Organizations 143 3.2.1 Investments in AI and Adoption of This Class of Solutions 143 3.2.2 Key Success Factors 146 3.2.3 Barriers and Risk Factors 153 3.2.4 Summary 156 3.3 Th e Impact of AI Systems on Activities in the Value Chain 156 3.3.1 Design 156 viii Contents 3.3.2 Production and Logistics 174 3.3.3 Sales and Marketing 186 3.3.4 Personalization, Service and After-Sales Service 202 3.3.5 Human Resources Management 210 3.3.6 Information and Knowledge Management 214 3.4 AI Influence on Competitiveness and Markets 222 3.4.1 Manufacturers 223 3.4.2 Customers 228 3.4.3 Suppliers 230 3.4.4 New Players 231 3.4.5 Markets 232 3.4.6 Sources of Competitive Advantage 232 3.5 The Influence of Artificial Intelligence on the Role and Competencies of Employees 237 3.5.1 New Competencies 239 3.5.2 New Roles in Organizations 241 3.6 Summary 242 References 243 4 Model for Value Generation in Companies and Cognitive Networks 247 4.1 Classification of AI Technology in the Context of Value Generation 248 4.1.1 Knowledge Value Chains and Data Transformation Processes in Information Systems 248 4.1.2 Classification of AI Systems According to a Place in the Knowledge Value Chain 253 4.1.3 Classification of AI Systems According to Cognitive Functions 260 4.2 V alue Generation Model: Organization Level 263 4.2.1 Value Generation Process 264 4.2.2 Value Generation Model 274 Conten ts ix 4.3 Cognitive Networks 275 4.3.1 Classic Constellations of Values and Value Systems Based on AI 279 4.3.2 Cognitive Network Concept 293 4.3.3 Key Competencies of Organizations Operating in Cognitive Networks 298 4.4 Summary 301 References 301 5 Summary and Recommendations for Future Research 305 Appendices 308 Appendix 1: Summary of Desirable Competencies in Organizations Implementing AI Solutions 308 Appendix 2: Challenges Related to the Implementation of Artificial Intelligence Systems 312 Appendix 3: The List of Analyzed Projects and Companies Using AI or Supporting Its Design 316 References 327 Index 337 List of Figures Fig. 1.1 Porter’s value chain. (Source: Own elaboration based on Porter 2008) 12 Fig. 1.2 Value configuration in value shops chart. (Source: Own elabo- ration based on Stabell and Fjeldstad 1998) 21 Fig. 1.3 Network value configuration chart. (Source: Own elaboration based on Stabell and Fjeldstad 1998) 26 Fig. 1.4 Dimensions of competing in value grids. (Source: Own elabo- ration based on Pil and Holweg 2006) 34 Fig. 1.5 Knowledge Value chain concept according to Ermine. (Source: Own elaboration based on Ermine 2013) 44 Fig. 1.6 Knowledge value chain and its management. (Source: Own elaboration based on Ermine 2013) 48 Fig. 1.7 Knowledge chain model according to Wang and Ahmed. (Source: Own elaboration based on Wang and Ahmed 2013) 48 Fig. 1.8 Knowledge transformation processes in value chains according to Ermine. (Source: Own elaboration based on Ermine 2013) 49 Fig. 2.1 Characteristics of environment in classical search. (Source: Own elaboration) 95 Fig. 2.2 Characteristics of environment in extended classical search. (Source: Own elaboration) 98 Fig. 2.3 Characteristics of competitive environments. (Source: Own elaboration) 99 xi
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