Author(s)

Jiaqi Yang ¹, Wenchang Liu ¹, Xiaofen Zhang ², Ming Liu ¹

Affiliation(s)

¹ School of Economics and Management, Liaoning University of Technology, Jinzhou, Liaoning, 121001, China
² School of Economics and Management, Shenyang Ligong University, Shenyang, Liaoning, 110168, China

Corresponding Author

Xiaofen Zhang

ABSTRACT

Digital economy has become the new engine of China's high-quality economic development stage. The digital transformation of manufacturing enterprises is a "must-answer question" to transform the manufacturing production mode and promote the high-quality development of the manufacturing industry, aiming to promote the in-depth application of digital technology in the whole process and all fields of the manufacturing industry, and cultivate and develop new formats and new models such as networked R&D, personalized customization, and flexible production. The digital transformation of manufacturing enterprises is a key part of improving the resilience and security level of the industrial chain and supply chain, can help stimulate the new dynamic energy of China's economic development, open up a new space for economic development, help open up and strengthen the connection and collaborative upgrading of manufacturing enterprises, enhance the toughness of the industrial chain, consolidate competitive advantages, and provide better support for leading China's high-quality economic development. Based on the analysis of the internal and external factors of digital transformation of manufacturing enterprises, we propose relevant policy recommendations to drive manufacturing enterprises to solve the problem of "not wanting to turn, not daring to turn, not knowing how to turn".

KEYWORDS

Manufacturing companies, digital transformation, digital technology, organizational structure

CITE THIS PAPER

Jiaqi Yang, Wenchang Liu, Xiaofen Zhang, Ming Liu, Influencing Factors of Digital Transformation of Manufacturing Enterprises. Industrial Engineering and Innovation Management (2023) Vol. 6: 43-50. DOI: http://dx.doi.org/10.23977/ieim.2023.060307.

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