SHS Web Conf.
Volume 181, 20242023 International Conference on Digital Economy and Business Administration (ICDEBA 2023)
|Number of page(s)
|Digital Transformation and Emerging Technologies
|17 January 2024
Artificial Intelligence Application, Global Value Chain Reconstruction and Enterprise Knowledge Power Relationship: Grounded Theory Research Based on Intelligent Manufacturing Enterprises
Zhejiang Gongshang University Hangzhou College of Commerce, 311500 Hangzhou, China
* Corresponding author: email@example.com
In the process of application of artificial intelligence affecting the formation of enterprise knowledge power, there are many factors that can influence it. 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. Finally, according to the “storyline”, it is established that a relationship model about “artificial intelligence application, global value chain reconstruction and knowledge power” in enterprise.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.