Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship
Edited by Elias G Carayannis and
Evangelos Grigoroudis
in Books from Edward Elgar Publishing
Abstract:
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.
Keywords: Business and Management; Innovations and Technology (search for similar items in EconPapers)
Date: 2023
ISBN: 9781839106743
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Chapters in this book:
- Ch 1 Scientific mapping of artificial intelligence as an emerging field of knowledge , pp 8-28

- Iván Manuel De la Vega Hernández, Angel Serrano Urdaneta and Oscar Schiappa-Pietra
- Ch 2 An Odyssey of ideas about A.I., innovation and entrepreneur(ship) , pp 29-45

- Phillip Harvard
- Ch 3 The future of business: artificial intelligence, machine learning and deep learning , pp 46-54

- Christos Lemonakis and Constantin Zopounidis
- Ch 4 Conversations with French innovative entrepreneurs about A.I , pp 55-75

- Phillip Harvard
- Ch 5 Digital transformation and digital maturity models: a blueprint strategic decision-making framework , pp 77-87

- Dimitrios Mitroulis and Fotis Kitsios
- Ch 6 AI and innovation design for new product and service development in digital ecosystems , pp 88-101

- Rossana Piccolo, Veronica Scuotto, Armando Papa, Marco Pironti and Manlio Del Giudice
- Ch 7 Explainability and the fourth AI revolution , pp 102-120

- Loizos Michael
- Ch 8 Energy management 4.0 , pp 121-134

- Vangelis Marinakis, Haris Doukas and John Psarras
- Ch 9 Digital innovation and entrepreneurship in open data ecosystems: stakeholder perspectives and challenges , pp 136-151

- Fotis Kitsios and Maria Kamariotou
- Ch 10 Cognitive agility for improved understanding and self-governance: a human-centric AI enabler , pp 152-172

- Benjamin James Knox, Stefan Sütterlin and Ricardo Lugo
- Ch 11 Artificial intelligence in the energy sector , pp 173-187

- Alina Cherepovitsyna
- Ch 12 The cultural world of high-tech startups , pp 188-204

- Giovanni Baldassarri and Piero Formica
- Ch 13 The value creation of artificial intelligence: business models based on the Internet of Things (IoT) , pp 206-217

- Sakshi Aggarwal and Stavros Sindakis
- Ch 14 Implications of blockchain technology in Industry 4.0 , pp 218-236

- Georgios Spathoulas and Sokratis Katsikas
- Ch 15 Artificial intelligence and emerging technologies: exploring opportunities through smart specialisation , pp 237-253

- Ruslan Rakhmatullin and Fatime Barbara Hegyi
- Ch 16 Financial analysis and management of cyber risk , pp 255-271

- Efstratios Livanis, Michalis Doumpos and Constantin Zopounidis
- Ch 17 The future of cyber risk management: AI and DLT for automated cyber risk modelling, decision making, and risk transfer , pp 272-290

- Pankaj Pandey and Sokratis Katsikas
- Ch 18 Transformation of smart city public services through AI and big data analytics: towards universal cross-sector solutions , pp 292-307

- Anastasia Panori, Christina Kakderi and Nicos Komninos
- Ch 19 The notion of interoperability in smart cities: a system of systems approach , pp 308-317

- Pantelis Sotirelis, Theodora Valvi, Evangelos Grigoroudis and Elias G. Carayannis
- Ch 20 Landing the scientific helicopter to explore in-depth some best practices in smart city innovation ecosystems , pp 318-331

- Lu's Farinha, João M. Lopes and João J. Ferreira
- Ch 21 Evaluating citizen sensing applications: how simulation of human mobility can contribute to the search of missing children , pp 333-349

- Ariadni Michalitsi-Psarrou, Eleni Kanellou, Christos Ntanos and Dimitris Askounis
- Ch 22 Career options and necessary technical skills in AI , pp 350-366

- Evangelia Krassadaki and Nikolaos Matsatsinis
- Ch 23 The impact of AI on expert labour and professions: a neo-traitist analysis of project management , pp 367-381

- Ian Stewart and Kun Wang
- Ch 24 From Industry 4.0 to Democracy 5.0 , pp 383-401

- David F. J. Campbell and Elias G. Carayannis
- Ch 25 Democratizing AI: from theory to practice , pp 402-418

- Paul D. Clough and Jahna Otterbacher
- Ch 26 Digital transformation of democracy and politics: sustainable development as a crucial dimension for conceptualization and measurement of democracy and quality of democracy , pp 419-444

- David F. J. Campbell and Elias G. Carayannis
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Persistent link: https://EconPapers.repec.org/RePEc:elg:eebook:19750
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