This collection on 'Artificial intelligence, big data, algorithms and Industry 4.0 in firms and clusters' is introduced exploring the themes discussed by the nine papers and grouped into three categories to uncover new dynamics and identify future research opportunities for clusters and organizations in these transformative times. The first group explores theoretical aspects of AI and its evolution in social sciences, focusing on industry 4.0, smart cities, big data, and other related topics. The second group examines the role of industrial robots in employment, productivity, and knowledge absorption in industrial districts. The third group discusses innovation in the context of local production systems, AI ecosystems, and the growth and potential of the Metaverse.

Artificial intelligence, big data, algorithms and Industry 4.0 in firms and clusters / Lazzeretti, L; Domenech, RB; Hervas-Oliver, JL; Innocenti, N. - In: EUROPEAN PLANNING STUDIES. - ISSN 0965-4313. - ELETTRONICO. - 31:(2023), pp. 1297-1303. [10.1080/09654313.2023.2220490]

Artificial intelligence, big data, algorithms and Industry 4.0 in firms and clusters

Lazzeretti, L
;
Innocenti, N
2023

Abstract

This collection on 'Artificial intelligence, big data, algorithms and Industry 4.0 in firms and clusters' is introduced exploring the themes discussed by the nine papers and grouped into three categories to uncover new dynamics and identify future research opportunities for clusters and organizations in these transformative times. The first group explores theoretical aspects of AI and its evolution in social sciences, focusing on industry 4.0, smart cities, big data, and other related topics. The second group examines the role of industrial robots in employment, productivity, and knowledge absorption in industrial districts. The third group discusses innovation in the context of local production systems, AI ecosystems, and the growth and potential of the Metaverse.
2023
31
1297
1303
Goal 12: Responsible consumption and production
Lazzeretti, L; Domenech, RB; Hervas-Oliver, JL; Innocenti, N
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1345660
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