Digital Transformation of Manufacturing Enterprises, Dual Network Embedding, and Innovation Efficiency

Yue Wu () and Li Wei ()
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Yue Wu: Lanzhou University of Technology, School of Economics and Management
Li Wei: Lanzhou University of Technology, School of Economics and Management

A chapter in Proceedings of the 5th International Conference on Economic Management and Big Data Application (ICEMBDA 2024), 2024, pp 566-573 from Springer

Abstract: Abstract How digital transformation allocates resources in manufacturing enterprises and ensures the enhancement of innovation efficiency has become an important issue in this cutting-edge research topic. Using unbalanced panel data from A-share listed manufacturing enterprises in China from 2013 to 2021, this paper introduces dual network embedding as a mediating variable to construct a theoretical model that clarifies the impact mechanism between digital transformation of manufacturing enterprises and innovation efficiency. The results indicate that digital transformation in manufacturing enterprises significantly enhances innovation efficiency, and dual network embedding plays a mediating role between digital transformation and innovation efficiency. Ultimately, this paper provides feasible suggestions for manufacturing enterprises to strengthen dual network embedding through digital transformation with a focus on innovation efficiency.

Keywords: Digital transformation; Dual network embedding; Innovation efficiency (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-638-3_56

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