Digital Management Practice: Mastering Exponential Change with Collective and Artificial Intelligence (Business Guides on the Go)

Preface
Contents
About the Author
1: Introduction
Part I: Digitalisation and Exponential Change
	1.1	 Outlook on Part I
	2: The Digitalisation
		2.1	 Digitisation
			2.1.1	 Digitisation 1.0
			2.1.2	 Digitisation 2.0
			2.1.3	 Digitisation 3.0
			2.1.4	 Digitisation 4.0
			2.1.5	 Industry 4.0
		2.2	 Acceleration
		2.3	 Exponential Change
		2.4	 Effects and Requirements
		References
			Online Sources
	3: The Knowledge Worker
		3.1	 Knowledge Work and Knowledge Workers
		3.2	 Tool
			3.2.1	 The Mental System
			3.2.2	 The Limitations of the Mental System
		3.3	 Change
		3.4	 Digitisation
		3.5	 Requirements
		References
			Online Sources
	4: The Manager
		4.1	 Role of the Manager
			4.1.1	 Tasks
			4.1.2	 Tools
			4.1.3	 Principles
			4.1.4	 Knowledge Workers
		4.2	 Change
		4.3	 Digitisation
		4.4	 Requirements
		Reference
			Online Sources
	5: The Company
		5.1	 Purpose
		5.2	 Change
		5.3	 Digitisation
			5.3.1	 Innovation Management
			5.3.2	 Business Model
		5.4	 Exponential Change
		5.5	 Requirements
		References
			Online Sources
Part II: Collective Intelligence as a System 3
	1.1	 Outlook on Part II
	6: Presentation of System 3: The Concept of Collective Intelligence
		6.1	 Definition
		6.2	 Delimitation
		6.3	 Fields of Application
		Reference
	7: Benefits of System 3: The Collective Intelligence
		7.1	 Benefits for the Knowledge Worker
			7.1.1	 Distortions in Perception
			7.1.2	 Overconfidence
			7.1.3	 Availability Heuristic
			7.1.4	 Influence of Emotions on Thinking
			7.1.5	 Confirmation Error
			7.1.6	 Framing Effect
			7.1.7	 Anchor Heuristics
		7.2	 Benefits for the Manager
			7.2.1	 Management of the New
			7.2.2	 Management of the Existing
			7.2.3	 Organisation of the Work
			7.2.4	 Benefits in the Context of the Principles
		7.3	 Benefits for the Company
		References
	8: Concrete Application of System 3: The Collective Intelligence
		8.1	 Requirements and Prerequisites
			8.1.1	 Technological Requirements
			8.1.2	 Organisational Requirements
			8.1.3	 Employee Competencies
		8.2	 Implementation
			8.2.1	 Planning and Conception
			8.2.2	 Implement the First Project
			8.2.3	 Integration into Existing Processes
		8.3	 Evaluation and Optimisation
			8.3.1	 Evaluate Results
			8.3.2	 Use of the Knowledge Gained
			8.3.3	 Continuous Improvement
		8.4	 Further Application Examples
		References
Part III: Artificial Intelligence as a System 4
	1.1	 Outlook for Part III
	9: Presentation of System 4: The Concept of Artificial Intelligence
		9.1	 Definition
		9.2	 Delimitation
		9.3	 Fields of Application
		Reference
			Online Sources
	10: Benefits of System 4: Artificial Intelligence
		10.1	 Benefits for the Knowledge Worker
			10.1.1	 Distortions in Perception
			10.1.2	 Overconfidence
			10.1.3	 Availability Heuristic
			10.1.4	 Influence of Emotions on Thinking
			10.1.5	 Confirmation Error
			10.1.6	 Framing Effect
			10.1.7	 Anchor Heuristics
		10.2	 Benefits for the Manager
			10.2.1	 Management of the New
			10.2.2	 Management of the Existing
			10.2.3	 Organisation of the Work
			10.2.4	 Benefits in the Context of the Principles
		10.3	 Benefits for the Company
		References
			Online Sources
	11: Concrete Application of System 4: Artificial Intelligence
		11.1	 Requirements and Prerequisites
			11.1.1	 Technological Requirements
			11.1.2	 Organisational Requirements
			11.1.3	 Data Protection and Ethical Considerations
				Legal Requirements
				Ethical Principles
				Data Protection Measures
				Ethical Evaluation
		11.2	 Employee Competences
			11.2.1	 Technical Skills and Expertise
			11.2.2	 Collaboration and Communication
			11.2.3	 Critical Thinking and Problem-Solving
			11.2.4	 Willingness to Change and Ability to Learn
		11.3	 Implementation
			11.3.1	 Planning and Conception
			11.3.2	 Implement the First Project
			11.3.3	 Integration into Existing Processes
		11.4	 Evaluation and Optimisation
			11.4.1	 Evaluate Results
			11.4.2	 Use of the Knowledge Gained
			11.4.3	 Continuous Improvement
		11.5	 Further Application Examples
		References
			Online Sources
	12: Conclusion and Recommendations for Action
		12.1	 Review and Consolidation
		12.2	 The Relevance of System 3 and System 4
		12.3	 People and Technology in Management
		12.4	 Recommendations for Action and Next Steps
		12.5	 Final Thoughts
	13: Practical Examples of AI Tools and Further Literature
		13.1	 Appendix 1: Working with ChatGPT
			13.1.1	 Practical Example
			13.1.2	 Technical Terms
			13.1.3	 Division of Labour
		13.2	 Appendix 2: Working with IBM Watson
			13.2.1	 Cognitive Computing and Watson
			13.2.2	 Cognitive Computing and Big Data Analytics
			13.2.3	 Platform and Software
			13.2.4	 Concept of the System
			13.2.5	 The Process of Implementation
		13.3	 Appendix 3: Further Reading
		References
			Online Sources