Robotics & Machine Learning Daily News2024,Issue(Feb.8) :7-8.DOI:10.1051/shsconf/202418104029

Reports on Artificial Intelligence Findings from Zhejiang Gongshang University Provide New Insights (Artificial Intelligence Application, Global Value Chain Reconstruction and Enterprise Knowledge Power Relationship: Grounded Theory Research ...)

Robotics & Machine Learning Daily News2024,Issue(Feb.8) :7-8.DOI:10.1051/shsconf/202418104029

Reports on Artificial Intelligence Findings from Zhejiang Gongshang University Provide New Insights (Artificial Intelligence Application, Global Value Chain Reconstruction and Enterprise Knowledge Power Relationship: Grounded Theory Research ...)

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Abstract

Investigators publish new report on artificial intelligence. According to news reporting originating from Zhejiang Gongshang University by NewsRx correspondents, research stated, “In the process of application of artificial intelligence affecting the formation of enterprise knowledge power, there are many factors that can influence it.” The news editors obtained a quote from the research from Zhejiang Gongshang University: “However, there is no mature theoretical framework for the specific important influencing factors. The TongKun Group in Zhejiang province is a 'future intelligence factory' that uses artificial intelligence and other advanced technologies to realize the global value chain reconstruction and enterprise knowledge power. Based on the grounded theory. The research data are collected from Tongkun company. According to the research process of grounded theory, original interview data are tested for open coding, spindle coding, selective coding and theoretical saturation. Using coding, categories are summarized into five main categories: enterprise artificial intelligence technology foundation, enterprise artificial intelligence technology usage, enterprise artificial intelligence technology results (output), global value chain reconstruction, and enterprise knowledge power.”

Key words

Zhejiang Gongshang University/Artificial Intelligence/Emerging Technologies/Machine Learning/Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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