Issue |
SHS Web Conf.
Volume 169, 2023
4th International Symposium on Frontiers of Economics and Management Science (FEMS 2023)
|
|
---|---|---|
Article Number | 01046 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/shsconf/202316901046 | |
Published online | 29 May 2023 |
Impact of Digital Transformation on Corporate Innovation--Empirical evidence from public companies
Harbin University of Science and Technology, Heilongjiang 150000, China
* Corresponding author: 1550392371@qq.com
In the context of comprehensive penetration and cross-border integration of information technology, digital transformation of enterprises has become an important way to accelerate enterprise innovation and lead economic innovation growth, injecting new vitality into enterprises. Based on the textual information of annual reports of A-share listed companies from 2011-2021, this paper constructs a measure of digital transformation and systematically examines the impact of digital transformation on corporate innovation output and its impact mechanism. It is found that there is a significant positive relationship between digital transformation and innovation output of enterprises, and the finding is robust. The mechanism test indicates that corporate digital transformation promotes corporate innovation by increasing innovation inputs and promoting corporate learning effects. Further study found that the promotion effect of corporate digital transformation on corporate innovation was more pronounced in large enterprises, high-tech enterprises, stateowned enterprises, enterprises whose executives have master’s degrees, and enterprises in relatively close geographical proximity to the eastern region. This study not only enriches the empirical research on the consequences of digital transformation and the mechanism of enterprises using new dynamic energy to enhance transformation, but also has important implications for promoting the layout adjustment of national digital innovation-driven strategies.
Key words: AHP hierarchical analysis / digital transformation / listed companies / corporate innovation
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.