| Issue |
E3S Web Conf.
Volume 253, 2021
2021 International Conference on Environmental and Engineering Management (EEM 2021)
|
|
|---|---|---|
| Article Number | 03059 | |
| Number of page(s) | 5 | |
| Section | Environmental Equipment Engineering Management and its Technical Application | |
| DOI | https://doi.org/10.1051/e3sconf/202125303059 | |
| Published online | 06 May 2021 | |
Management Ability, Innovation Input and Enterprise Performance
School of Economics and Management, Beijing Jiaotong University, BJTU Beijing, China
Corresponding author: 13161880824@163.com
This paper studies the endogenous relationship between innovation investment and enterprise performance through the three-stage least square method, taking the companies listed on the Main board of A-shares in Shanghai and Shenzhen stock Exchanges from 2014 to 2018 as research samples, and explores whether the improvement of management ability can effectively promote the transformation of enterprise innovation investment into enterprise performance from the perspective of innovation. The research results show that there is a two-way influence between innovation input and enterprise performance. The innovation input can significantly promote the growth of enterprise performance, but its promotion effect is relatively lagged. The growth of performance may weaken the enterprise's innovation motivation and reduce the future innovation input. Management competence has a significant positive moderating effect on the relationship between innovation input and performance. This paper provides an important reference for balancing innovation and enterprise performance and improving the transformation efficiency of enterprise innovation investment to increase enterprise value.
© 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.