Journal Article

The Impact of Digital Transformation on Firm Performance - An Empirical Study Based on Business Administration Perspective

Wang, Ying, Sun, Liming

2025

Overview

This paper investigates the impact of digital transformation points on enterprise performance. According to the mechanism of the impact of digital transformation on enterprise performance, this paper puts forward the corresponding research hypotheses. In order to reflect the role of business management perspective on the research of this paper, the enterprise management ability is selected as a mediating variable to analyze its mediating effect in the process of digital transformation's impact on enterprise performance. Text mining method is adopted to construct the digital vocabulary network of enterprise contribution using characteristic keywords, and the degree of enterprise digital transformation is calculated by combining the BERT model and K-means clustering algorithm. Benchmark regression results show that the digital transformation coefficient is positive at the 1% significance level, and that for every unit increase in the degree of digital transformation, enterprise performance will rise by 0.293. The robustness test uses methods such as replacing the explanatory variables to verify the robustness of the core findings of this paper. In the mediation effect test, digital transformation and the mediating variables ATO and Admin are both positive at the 1% significant level, and the regression coefficient of the degree of digital transformation rises from 0.293 to 0.374 after adding the mediating variables, verifying the research hypothesis of this paper about the mediating variables.

• Publisher: Sciendo,De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
• Subject: 91G50 / BERT / Digital transformation / Enterprise performance / K-means clustering algorithm / Text mining / Variables