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

Luciana Lazzeretti, Rafael Boix, José-Luis Hervás-Oliver, Niccolò Innocenti

Year
2023
Citations
12
Access
Open access

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.

Keywords

Big dataTransformative learningContext (archaeology)ProductivityCollective intelligenceBusiness clusterData scienceSociologyKnowledge managementIndustrial organization

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