The Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship focuses on theories, policies, practices, and politics of technology innovation and entrepreneurship based on Artificial Intelligence (AI). It examines when, where, how, and why AI triggers, catalyzes, and accelerates the development, exploration, exploitation, and invention feeding into entrepreneurial actions that result in innovation success.
Individual chapters explore the factors that shape and drive innovation and entrepreneurship, including modalities (such as the Internet of Things (IoT)), challenges (such as privacy and safety concerns), and opportunities (such as augmenting the efficacy frontier of technological solutions enabled by AI).
This Handbook provides comprehensive coverage of AI, technology, and innovation and entrepreneurship for academics, policy makers, practitioners, and students.
Author(s): Elias G. Carayannis; Evangelos Grigoroudis
Publisher: Edward Elgar
Year: 2023
Language: English
Pages: 474
Front Matter
Copyright
Contents
Contributors
Preface
Introduction to the Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship
Part I AI for business
1. Scientific mapping of artificial intelligence as an emerging field of knowledge
2. An Odyssey of ideas about A.I., innovation and entrepreneur(ship)
3. The future of business: artificial intelligence, machine learning and deep learning
4. Conversations with French innovative entrepreneurs about A.I.
Part II Digital transformation
5. Digital transformation and digital maturity models: a blueprint strategic decision-making framework
6. AI and innovation design for new product and service development in digital ecosystems
7. Explainability and the fourth AI revolution
8. Energy management 4.0
Part III Digital entrepreneurship
9. Digital innovation and entrepreneurship in open data ecosystems: stakeholder perspectives and challenges
10. Cognitive agility for improved understanding and self-governance: a human-centric AI enabler
11. Artificial intelligence in the energy sector
12. The cultural world of high-tech startups
Part IV Digital business models and Industry 4.0
13. The value creation of artificial intelligence: business models based on the Internet of Things (IoT)
14. Implications of blockchain technology in Industry 4.0
15. Artificial intelligence and emerging technologies: exploring opportunities through smart specialisation
Part V Cyber security
16. Financial analysis and management of cyber risk
17. The future of cyber risk management: AI and DLT for automated cyber risk modelling, decision making, and risk transfer
Part VI Smart cities
18. Transformation of smart city public services through AI and big data analytics: towards universal cross-sector solutions
19. The notion of interoperability in smart cities: a system of systems approach
20. Landing the scientific helicopter to explore in-depth some best practices in smart city innovation ecosystems
Part VII Society and the digital transformation
21. Evaluating citizen sensing applications: how simulation of human mobility can contribute to the search of missing children
22. Career options and necessary technical skills in AI
23. The impact of AI on expert labour and professions: a neo-traitist analysis of project management
Part VIII AI and democracy
24. From Industry 4.0 to Democracy 5.0
25. Democratizing AI: from theory to practice
26. Digital transformation of democracy and politics: sustainable development as a crucial dimension for conceptualization and measurement of democracy and quality of democracy
Index
