Table of contents. 2

1. Value creation and competitive advantage models. 5

1.1. Introduction. 5

1.2. The value creation and competitive advantage models. 10

1.2.1. Introduction. 10

1.2.2. The influence of technology on the logics of value creation. 11

1.2.3. Value chains. 13

1.2.4. Motivation for extending the concept of value chains. 19

1.2.5. Value constellations. 21

1.2.6. Value shops. 22

1.2.7. Value networks. 27

1.2.8. Value grid. 36

1.2.9. Value structures in service-dominated logics. 42

1.2.10. Conclusion. 45

1.3. The role of data, information and knowledge in generating value. 47

1.3.1. Knowledge as a key resource of an organization. 47

1.3.2. Data, information, knowledge and wisdom in knowledge management. 48

1.3.3. The concept of the knowledge value chain. 51

1.3.4. Transformation processes in the knowledge chain. 53

1.4. The influence of information technologies on value configurations and competition. 55

1.4.1. Liquefied information in the value chain. 55

1.4.2. Influence of information technologies on the value chain. 56

1.4.3. The impact of information systems on competitiveness and value structures. 57

1.5. Value networks in the telecommunications and IT industries. 59

1.5.1. Motivation for the development of new methods for assessing business potential in the IT and telecommunications industries. 60

1.5.2. The model of control points as the basis of the business potential analysis method. 61

1.5.3. The value network models in the telecommunications and digital media industries. 64

1.6. Competencies necessary to achieve a competitive advantage. 67

2. Artificial intelligence methods and techniques. 71

2.1. Data, information and knowledge in contemporary information systems. 71

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. 83

2.2. Concept and basic methods of artificial intelligence. 85

2.2.1. Definitions of artificial intelligence. 85

2.2.2. Classification of environments. 91

2.2.3. Solving problems by searching. 93

2.2.4. Knowledge and planning in certain situations. 98

2.2.5. Knowledge and planning in a state of uncertainty. 102

2.2.6. Learning. 104

2.2.7. Perception, communication and action. 107

2.2.8. &n
About the Author:

Andrzej Wodecki is a researcher at Warsaw University of Technology, Poland. With more than 15 years of experience in business information systems, human capital management and internet ventures, he combines industry practice with research on the influence of Artificial Intelligence on modern organizations.