Date: September 30, 2021

Time: 15:30 - 16:30 pm

Venue: Room 0411, Teaching Building 0#, Jiuli Campus

Event Details:

Lecturer: Pro. Zhuming Chen

About the Lecturer:

Chen, Zhuming is a professor of finance and a doctoral supervisor at the School of Management in Sun Yat-sen University, and a council member of the Guangdong Economic Association. He has served as the director of the EMBA Education Center of Sun Yat-sen University, the director of the Asia-Pacific Case Development and Research Center, the deputy director of the Department of Finance and Investment, and the visiting researcher of the Guangdong Provincial Research Center. Professor Chen has rich industry investment and work experience, and has served as independent director of many listed companies such as Guangdong Media, Jingyi Co., Ltd., and Dongbai Group. His mainly researches are in the fields of de facto option game theory, corporate property rights pricing, commercial bank management, venture capital, etc.. He presided over a number of national natural science fund and provincial and ministerial scientific research projects, and published more than dozens of high-level academic papers at home and abroad, such as Journal of Financial Research, Financial Innovation, "Chinese Management Science", "Quantitative Economics and Technical Economics Research", etc.. His research results have attracted great attention from all walks of life, received important instructions from the Guangdong Provincial Government and affirmed by the China Banking Regulatory Commission, and have been interviewed by important domestic and foreign media such as: People's Daily, Xinhua News Agency, CCTV, etc..

About the Lecture:

With the rapid development of the digital economy and the explosive growth of data volume, data has become a core production factor. The digital, intelligent, and ecological transformation and upgrading of traditional enterprises has become a national strategy. This lecture takes traditional enterprises as the research object to discuss the optimal timing of digital transformation and its influencing factors. The results show that 11 factors such as corporate capital, marginal production costs, and data elements have a significant impact on the timing of transformation; the greater the investment cost of transformation, the higher the expected return of the company, and the higher the marginal cost of production of the company; the slower the digital transformation, after the leader’s transformation, the longer the time between follower’s digital transformation, and the optimal time for digital transformation of large enterprises is earlier than that of small and medium-sized enterprises; the more data elements a company generates, the better the growth of the product industry and data element market. The higher the volatility, the faster the transition, and the shorter the time between the leader and the follower's transition opportunity.