1st Edition
Artificial Intelligence, Big Data, Algorithms and Industry 4.0 in Firms and Clusters
This volume offers a wide-ranging discussion on the interrelations among AI, algorithms, big data, and Industry 4.0 to understand the importance of these new paradigms for the development of firms, districts, clusters, cities, regions, and innovation.
Drawing on theoretical, empirical, and qualitative studies and using local perspectives, the chapters in this book explore theoretical aspects of AI and its evolution in social sciences, focusing on industry 4.0, smart cities, big data, and other related topics. They examine the role of industrial robots in employment, productivity, and knowledge absorption in industrial districts. They also discuss innovation in the context of local production systems, AI ecosystems, and the growth and potential of the Metaverse. Taken together, the book offers insights to help understand the new dynamics generated by the advent of these technologies and how they may affect regions, cities, clusters, industries, and organizations, and identifies avenues for future research in the development of new trajectories for clusters and firms.
This book will be a key resource for scholars and advanced students in the fields of economics, geography, architecture, planning, and management as well as for interdisciplinary researchers who want to learn more about the development of new technologies, the relevance of AI, Big Data and I4.0 for firms and in relation to their adoption in clusters. This book was originally published as a special issue of European Planning Studies.
Introduction: Artificial intelligence, big data, algorithms and Industry 4.0 in firms and clusters
Luciana Lazzeretti, Rafael Boix Domenech, Jose-Luis Hervas-Oliver and Niccolò Innocenti
1. The emergence of artificial intelligence in the regional sciences: a literature review
Luciana Lazzeretti, Niccolò Innocenti, Martina Nannelli and Stefania Oliva
2. Artificial intelligence in hospitality and tourism. State of the art and future research avenues
Martina Nannelli, Francesco Capone and Luciana Lazzeretti
3. Learning as imitation or mimesis: how ‘smart’ is machine learning for its planning controllers?
Philip Cooke
4. Does regional innovation policy really work for Industry 4.0? Evidence for industrial districts
Jose-Luis Hervas-Oliver, Sofia Estelles-Miguel, Marta Peris-Ortiz and Jose Antonio Belso-Martínez
5. The actors’ role in industrial districts facing the challenge of technologies 4.0 between absorption and dissemination
Niccolò Fiorini, Tommaso Pucci, Elena Casprini and Lorenzo Zanni
6. Robots and the productivity of local manufacturing systems in Emilia-Romagna: the mediating role of occupational similarity and complexity
Roberto Antonietti, Luca Cattani and Giulio Pedrini
7. Living innovation machines: modelling innovation in time and space variable-geometry territorial units using machine learning
Rafael Boix-Domenech, Vittorio Galletto, Fabio Sforzi and Francesco Capone
8. The mechanisms underlying the emergence of innovation ecosystems: the case of the AI ecosystem in Montreal
Nasrin Sultana, Ekaterina Turkina and Patrick Cohendet
9. How real will the metaverse be? Exploring the spatial impact of virtual worlds
Pier Luigi Parcu, Maria Alessandra Rossi, Niccolò Innocenti and Chiara Carrozza
Biography
Luciana Lazzeretti is Full professor of Management at the Department of Economics and Management, University of Florence, Italy.
Rafael Boix Domenech is Full professor of Economic Structure at the Faculty of Economics, Department of Economic Structure, University of Valencia, Spain.
Jose-Luis Hervas-Oliver is Full professor of Management at the Departamento de Organización de Empresas, Universitat Politècnica de València, Spain.
Niccolò Innocenti is Assistant professor of Management at the Department of Economics and Management, University of Florence, Italy.
