Keywords
manufacturing enterprise, digital transformation, TOE framework, group state analysis
Abstract
Digital transformation is an important way to promote high-quality development of manufacturing enterprises in China. Based on the TOE theoretical framework, a model of the influencing factors of digital transformation is constructed and the fsQCA method is applied to explore the complex group effect of six antecedent conditions and digital transformation of manufacturing enterprises. The study found that digital transformation of manufacturing enterprises is not driven by a single factor, but is the result of the synergy of technological, organisational and environmental conditions. There are four driving paths for high digital transformation in manufacturing enterprises,which can be categorised as “all-factor-driven”, “technology-oriented”, “scale-optimised” and “inside-out” depending on the core conditions. There is only one “factor-deficient” path for non-high digital transformation. The results of this study not only enrich the research on digital transformation from a group perspective, but also providea reference for the digital transformation of manufacturing enterprises.
DOI
10.16315/j.stm.2023.02.006
Recommended Citation
CHEN, Jiaqin and HAN, Minghua
(2023)
"Research on antecedent grouping of digital transformation in manufacturing enterprises,"
Journal of Science and Technology Management: Vol. 25:
Iss.
2, Article 9.
DOI: 10.16315/j.stm.2023.02.006
Available at:
https://jstm.researchcommons.org/journal/vol25/iss2/9
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
