企业和集群中的人工智能、大数据、算法和工业4.0

IF 2.6 3区 经济学 Q2 ENVIRONMENTAL STUDIES European Planning Studies Pub Date : 2023-06-11 DOI:10.1080/09654313.2023.2220490
L. Lazzeretti, R. Doménech, José-Luis Hervás-Oliver, Niccolò Innocenti
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引用次数: 0

摘要

摘要这本关于“企业和集群中的人工智能、大数据、算法和工业4.0”的论文集探讨了九篇论文所讨论的主题,分为三类,以揭示新的动态,并确定集群和组织在这些变革时代的未来研究机会。第一组探讨了人工智能及其在社会科学中的演变的理论方面,重点是工业4.0、智能城市、大数据和其他相关主题。第二组考察了工业机器人在工业区就业、生产力和知识吸收方面的作用。第三组讨论了本地生产系统、人工智能生态系统以及元宇宙的增长和潜力背景下的创新。
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Artificial intelligence, big data, algorithms and Industry 4.0 in firms and clusters
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.
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来源期刊
CiteScore
7.20
自引率
10.70%
发文量
109
期刊介绍: European Planning Studies provides a forum for ideas and information about spatial development processes and policies in Europe. The journal publishes articles of a theoretical, empirical and policy-relevant nature and is particularly concerned to integrate knowledge of processes with practical policy proposals, implementation and evaluation. Articles of particular interest to the journal focus upon specific spatial development problems, as well as emerging explanations of new urban, regional, national or supranational developmental tendencies. Country-specific, region-specific or locality-specific issues are focused upon, although comparative analysis is of especial value.
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