Research on the Impact of Big Data Resources on the Digital Transformation Performance of Manufacturing Enterprises
In view of the impact mechanism of big data resources on the performance of enterprises' digital transformation, this paper, based on the resource-based theory, divides the big data capability into three dimensions: resource integration capability, deep analysis capability and application capab...
Saved in:
Published in | 2023 IEEE 3rd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA) Vol. 3; pp. 206 - 211 |
---|---|
Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
26.05.2023
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | In view of the impact mechanism of big data resources on the performance of enterprises' digital transformation, this paper, based on the resource-based theory, divides the big data capability into three dimensions: resource integration capability, deep analysis capability and application capability. Through empirical analysis of 225 effective sample data of manufacturing enterprises, we found that: big data resources, two dimensions of big data capability (resource integration capability and application capability) and transformational leadership behavior positively affect the performance of digital transformation; Big data capability and transformational leadership have a chain mediating effect between big data resources and digital transformation performance. This paper theoretically enriched the research on the impact of big data resources on the performance of digital transformation; In practice, it is clear that enterprises should improve their big data capabilities and leadership to promote their digital transformation performance. |
---|---|
DOI: | 10.1109/ICIBA56860.2023.10164986 |