The research on the relationship between corporate innovation, enforcement and board characteristics on the background of artificial intelligence–taking chinese listed companies as an example
Issue title: Ethical Computational Intelligence for Cyber Market
Guest editors: Oscar Sanjuán Martínez, Giuseppe Fenza and Ruben Gonzalez Crespo
Affiliations: [a]
Ningbo University of Finance and Economics, Ningbo, Zhejiang, China
| [b]
Zhejiang Gongshang University, Hangzhou, Zhejiang, China
| [c]
The University of Nottingham Ningbo China, Ningbo, Zhejiang, China
Correspondence:
[*]
Corresponding author. Gu Qiuyang, Zhejiang Gongshang University, Hangzhou, The University of Nottingham Ningbo China, Ningbo, Zhejiang 315100, China. E-mail: guqiuyang123@163.com.
Abstract: In this era of artificial intelligence and information, the transformation and upgrading of enterprises plays a crucial role in their development. This study analyzes the regulatory penalties of listed companies published by the Shenzhen and Shanghai stock exchanges from 1996 to 2017, and explores the relationship between the number of enforcements of these companies and their innovation ability. Existing research literature confirms that board characteristics, including the gender of the CEO and whether the CEO has an overseas background, will have a significant impact on the company’s ability to innovate and the likelihood of corporate penalties. Therefore, this study selects the two moderator variables of the chairman’s gender and whether the chairman has overseas study background. This study uses the To bit model and establishes three hypotheses to verify whether the company’s ability to innovate can significantly affect the number of times they are enforced, whether the chairman’s gender and whether the chairman’s overseas background will have a moderator effect on this relationship. The analysis results confirm these three assumptions.
Keywords: Corporate fraud, innovation, board character
