Research on the Impact of Multi-source Intellectual Capital Information Disclosure on Corporate Value in the Big Data Environment-Based on Mediating Effect of Investor 's Confidence
Authors
Fu-Sheng Wang, Bei Yuan, Cai-Cai Guo
Corresponding Author
Fu-Sheng Wang
Available Online July 2017.
- DOI
- https://doi.org/10.2991/icoi-17.2017.12How to use a DOI?
- Keywords
- Intellectual capital, information disclosure, investor's confidence
- Abstract
- In recent years, Internet technology has been developing continuously. Compared with the disclosure of intellectual capital in the traditional environment, the disclosure in big data environment has become diversified from content to form. As the provision and dissemination of capital market information is more timeliness, the means which the public access to information are becoming increasingly varied. Based on the theory of investor sentiment, this paper analyzes the relationship between multi-source intellectual capital information disclosure, investor confidence and corporate value. This paper selects the data of GEM listed companies in China from 2013 to 2015, and uses the regression analysis method to carry on the empirical test. The results show that there is a significant positive correlation between multi-source intellectual capital information disclosure and corporate value, and investor confidence plays a mediating role in the relationship between the intellectual capital information disclosure and the corporate value.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Fu-Sheng Wang AU - Bei Yuan AU - Cai-Cai Guo PY - 2017/07 DA - 2017/07 TI - Research on the Impact of Multi-source Intellectual Capital Information Disclosure on Corporate Value in the Big Data Environment-Based on Mediating Effect of Investor 's Confidence BT - 2017 International Conference on Organizational Innovation (ICOI 2017) PB - Atlantis Press SP - 68 EP - 76 SN - 1951-6851 UR - https://doi.org/10.2991/icoi-17.2017.12 DO - https://doi.org/10.2991/icoi-17.2017.12 ID - Wang2017/07 ER -