Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/327294 
Erscheinungsjahr: 
2023
Quellenangabe: 
[Journal:] Journal of Innovation & Knowledge (JIK) [ISSN:] 2444-569X [Volume:] 8 [Issue:] 3 [Article No.:] 100385 [Year:] 2023 [Pages:] 1-11
Verlag: 
Elsevier, Amsterdam
Zusammenfassung: 
This study proposes a novel production function of digital empowerment. It constructs a theoretical framework to analyze the digital enabling process for enterprises from the production factor and economic activity aspects. It uses data mining technology to measure the degree of digitalization, extracts a typical relationship model between digitalization degree and enterprise performance, and digs out the association rules among traditional factors, digital factors, and economic activities under different relationship models. The results show that the digitalization degree and the digitalization enabling the level of mechanical and electronic enterprises are higher than those of light textile enterprises and resource-processing enterprises. The substitution elasticities and the association rules among factors and activities also have enterprise heterogeneity, which leads to differences in the digital transformation paths of different types of enterprises.
Schlagwörter: 
Association rules
Data mining technology
Digital empowerment production function
Enterprise performance
Substitution elasticity
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