Understanding artificial intelligence: insights on China

Eleonora Veglianti, Yaya Li, Elisabetta Magnaghi and Marco de Marco
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Eleonora Veglianti: Lille Catholic University

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Abstract: Purpose The high frequency of disruption and dislocation of many industries, the migration to low-cost countries of different assets and activities, the increase in systemic risk, the birth of social and ecological constraints, as well as the new worldwide competitors require businesses and the overall society to change. In a so-called Industry 4.0. era, understanding the impact of artificial intelligence (AI) in developed as well as in underdeveloped economies has become increasingly crucial. The purpose of this study is to shed the light on the peculiarities of Chinese AI assessing the state of art of AI in this unique and valuable context. Design/methodology/approach Through a research based on a qualitative data analysis, the present paper suggests a new way to analyse AI and to support a better understanding of the local Chinese aspects influencing its development and implementation. Findings The development and implementation of AI in China required tailor solutions which account for the following three main dimensions: the location (i.e. territorial extension, the administrative boundaries); the government approach; and the human capital. Originality/value The analysis presents a broad level activity. In addition, the paper focused on Chinese scientific literature and different types of data (i.e. institutional documents, professional reports, websites and speeches in Chinese). The paper used a multi-faceted approach, including also the tacit knowledge of the authors about the context under investigation.

Date: 2021-02-08
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Published in Journal of Asia Business Studies, 2021, 16 (2), pp.324-339. ⟨10.1108/JABS-10-2020-0391⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04522101

DOI: 10.1108/JABS-10-2020-0391

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