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Case Study on the Inherent Mechanisms Driving Industrial Innovation through Data Empowerment
- 1 Beijing University of Posts and Telecommunications
- 2 Beijing University of Posts and Telecommunications
- 3 Beijing University of Posts and Telecommunications
* Author to whom correspondence should be addressed.
Abstract
In the context of the profound integration of big data, artificial intelligence technologies, and industries, both data resources and digital technologies became crucial pillars supporting the development of industrial innovation. They played key roles in enhancing the innovation capabilities of industries. In this regard, the present study employed the specific case of the intelligent brain of the Taizhou Machine Tool Industry. Utilizing grounded theory, the research integrated relevant data through coding analysis and category extraction to construct a comprehensive theoretical model of the intrinsic mechanisms driving industrial innovation through data empowerment. The study revealed that the realization of data-empowered industrial innovation followed a logical path of 'data resource services – data capability spillover – industrial innovation achievement.' Specifically, data empowerment operated across three dimensions: industrial resources, production, and ecology, effectively propelling the realization of industrial innovation. From a systematic perspective, this research analyzed the intrinsic mechanisms of data-empowered industrial innovation, deepening the theoretical understanding of industrial innovation. In the context of past industrial digitization transformation, these findings provided valuable insights for guiding industrial innovation development.
Keywords
industrial innovation, data empowerment, machine tool industry intelligent brain, grounded theory
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Cite this article
Yang,X.;Zhou,Y.;Guo,J. (2024). Case Study on the Inherent Mechanisms Driving Industrial Innovation through Data Empowerment. Journal of Applied Economics and Policy Studies,11,30-40.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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