The Latest Research Results Were Published in production and operations management of utd24 / FT50


Recently, the research result of Professor Li Guo's team from the school of management and economics of Beijing University of technology, Does CSR Reduce Idiosyncratic Risk? Roles of Operational Efficiency and AI Innovation was officially published in Production and Operations Management, an international top journal of management science. The research results were completed by Professor Li Guo and his doctoral student Li Na in cooperation with Professor Suresh P. Sethi of the University of Texas at Dallas.

With the rapid development of artificial intelligence, and in the situation of social ethical anomie problems such as personal privacy disclosure and big data killing are becoming increasingly prominent,  China's corporate social responsibility management is facing new challenges. In order to clarify the interaction mechanism between corporate social responsibility, idiosyncratic risk and artificial intelligence, and further provide decision-making suggestions and management support for Chinese enterprises to deal with business ethics issues more effectively, Professor Li Guo and doctoral student Li Na of Beijing University of Technology carried out relevant empirical research by collecting data from 1614 Chinese listed companies. This study first incorporated artificial intelligence innovation into the consideration of social responsibility management, and found the U-shaped relationship between corporate social responsibility performance and corporate idiosyncratic risk in the Chinese context for the first time. The research points out that enterprises carrying out artificial intelligence innovation can inhibit the positive effect of corporate social responsibility on idiosyncratic risk, while enterprises improving operation efficiency can weaken the negative effect of social responsibility on idiosyncratic risk. In addition, it was revealed in the study that there is an alternative relationship between artificial intelligence innovation and social responsibility in reducing the idiosyncratic risk, that is, enterprises with high AI have reduced the same risk and need to fulfill more social responsibilities. Therefore, enterprises should focus on developing artificial intelligence innovation or fulfilling social responsibility. Specifically, in the early stage of enterprise development, priority should be given to improving social responsibility and accelerating the reduction of idiosyncratic risk; In the later stage, enterprises can break through the bottleneck of the positive role of social responsibility by improving the innovation level of artificial intelligence, which will further reduce the idiosyncratic risk of enterprises. At present, China is in a new historical period of starting a new journey of building a modern socialist country in an all-round way. The research results will provide guidance for our government and enterprises to develop frontier fields such as artificial intelligence, strengthen the innovative application of key digital technologies, promote green development, further implement the new development concept of innovation, coordination, green, openness and sharing, and provide scientific decision-making suggestions and solid management support for achieving higher quality, more efficient, more equitable, more sustainable and safer development.

Production and operations management (POM) is one of the top 24 academic journals (UTD 24) selected by the University of Texas at Dallas. It is a top journal in the field of international operation management which enjoys a high academic reputation in the international management field. The UTD24 list, which covers the main majors of general university business schools, is widely recognized by major universities in the world and is generally used as the main basis for business school ranking, professional title promotion, and evaluation of various projects and talent plans. The catalogue is also an important reference condition for the selection of important talent plan projects such as the management science department of NSFC and the management discipline of the Ministry of Education. At the same time, POM is one of the 50 top business school journals rated by the Financial Times (FT50 for short), which is an important basis for the financial times to rank business schools.

Paper Link:

The information of the paper: 

Guo Li, Na Li, Suresh P. Sethi. Does CSR reduce idiosyncratic risk? Roles of operational efficiency and AI innovation. Production and Operations Management, 2021, 30(7), 2027–2045.