Artificial Intelligence, Big Data, algorithms and Industry 4.0 in firms and clusters
edited by Luciana Lazzeretti, Rafael Boix-Domenech, Jose-Luis Hervás-Oliver, Niccolò Innocenti
| Year of publication: |
2025
|
|---|---|
| Other Persons: | Boix, Rafael (ed.) ; Hervás-Oliver, José-Luis (ed.) ; Innocenti, Niccolò (ed.) ; Lazzeretti, Luciana (ed.) |
| Publisher: |
London : Routledge, Taylor & Francis Group |
| Subject: | Künstliche Intelligenz | Artificial intelligence | Big Data | Big data | Industrie 4.0 | Industry 4.0 | Regionales Cluster | Regional cluster | Industrieregion | Industrial region |
| Description of contents: | Table of Contents [gbv.de] ; Description [dietmardreier.de] |
| Extent: | x, 196 Seiten Illustrationen |
|---|---|
| Type of publication: | Book / Working Paper |
| Type of publication (narrower categories): | Aufsatzsammlung |
| Language: | English |
| Notes: | Introduction: Artificial intelligence, big data, algorithms and Industry 4.0 in firms and clusters 1. The emergence of artificial intelligence in the regional sciences: a literature review 2. Artificial intelligence in hospitality and tourism. State of the art and future research avenues 3. Learning as imitation or mimesis: how smart is machine learning for its planning controllers? 4. Does regional innovation policy really work for Industry 4.0? Evidence for industrial districts 5. The actors role in industrial districts facing the challenge of technologies 4.0 between absorption and dissemination 6. Robots and the productivity of local manufacturing systems in Emilia-Romagna: the mediating role of occupational similarity and complexity 7. Living innovation machines: modelling innovation in time and space variable-geometry territorial units using machine learning 8. The mechanisms underlying the emergence of innovation ecosystems: the case of the AI ecosystem in Montreal 9. How real will the metaverse be? Exploring the spatial impact of virtual worlds |
| ISBN: | 978-1-032-84693-4 ; 978-1-032-84853-2 ; 978-1-003-51599-9 |
| Other identifiers: | 10.4324/9781003515999 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015179405