Issue |
E3S Web Conf.
Volume 292, 2021
2021 2nd International Conference on New Energy Technology and Industrial Development (NETID 2021)
|
|
---|---|---|
Article Number | 03001 | |
Number of page(s) | 12 | |
Section | Environmental Sustainable Development and Industrial Transformation | |
DOI | https://doi.org/10.1051/e3sconf/202129203001 | |
Published online | 09 September 2021 |
Research on The Effect of Subject Heterogeneity on Innovation Performance in Manufacturing Digital Innovation
1 School of Economics and Management Harbin University of Science and Technology Harbin, China
2 School of Economics and Management Harbin Institute of Technology Harbin, China
* Corresponding author: hitguantao@163.com
The digital transformation of manufacturing industry accelerates the collaborative innovation of multi-agent value co-creation, which makes the influence of subject heterogeneity on the innovation performance in digital innovation become a focus issue in both theory and practice. This paper builds a conceptual model of subject heterogeneity in digital collaborative innovation influence on the innovation performance from target heterogeneity, knowledge heterogeneity and organization heterogeneity three dimensions, which based on the perspective of the behavior subjects in manufacturing digital innovation of value co-creation. Then we deeply explore the influence mechanism between the heterogeneous cooperative innovation behavior of heterogeneous value subject and the innovation performance in digital innovation. The research results are helpful to realize higher quality digital cooperation among manufacturing enterprises, promote the coordinated development of digital value chain, and improve the digital innovation performance.
© The Authors, published by EDP Sciences, 2021
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.