On the morning of June 4, 2024, BNUBS held a lecture entitled

"Research on Open Database and Management Behavior" at 9406 Jingshi Building.The lecture was delivered by Song Zhaoli, Associate professor of the Department of Organization and Management of the Business School of the National University of Singapore. It was presided over by Xu Zhixing, director of the Department of Human Resources Management, and Mr. Li Ran made a summary. The meeting attracted more than 40 teachers and students from Beijing Normal University, Peking University, National People's Congress, Agricultural University, Central Finance, Beijing Foreign Studies University, BeILI University, University of Political Science and Law, Capital Economic and Trade University, Beijing Sports University to listen.

Professor Song Zhaoli is an Associate Professor in the Department of Organisational Management at the National University of Singapore Business School and was the Academic Director of the Asia-Pacific Chinese EMBA at the National University of Singapore from 2013 to 2017.His research interests include genes and managerial behavior, leadership, job search and employment, cross-cultural management, artificial intelligence and the future of work, work-family relationships, emotions, and futurology. His academic papers have been published in PNAS, Academy of Management Journal, Journal of Applied Psychology, Human Relations and Journal of Vocational Studies Behavior , Leadership Quarterlyand other top international academic journals.His pioneering research on the correlation between genes and management behavior has been reported by the Economist, The New York Times, The Washington Post and other media, and won the Best micro Paper Award at the 2014 Annual meeting of the International Association of Chinese Management Studies (IACMR) and the Best Conference Paper Award at the 2015 Annual meeting of the Association of Management Studies (AOM).

At the beginning of the lecture, in order to let the students better understand the relevant content, Professor Song first introduced in detail the process of the continuous evolution and deepening of his research interests with the development of technology and society, and the research results. Next, focusing on the topic of genes and management behavior, he introduced some public health and social behavior databases available to scholars around the world according to the evolution of single-gene and management behavior and group and management behavior-based neurogenetic management, and pointed out that these databases contain rich information related to work and career and it can providevaluable research resources for organizational management scholars.Using his two studies, genome-wide association analysis of leadership positions and polygenic scoring of career interests, as examples, he detailed the methods and results of management behavior research using these databases, and demonstrated how to effectively use these data for scientific research. In addition, he explored the prospects of interdisciplinary cooperation between biomedicine and management, put forward the possibility and potential of future interdisciplinary cooperation, and provided new perspectives and methods for academic research.

During the question and answer session, Professor Song and the teachers and students present had an in-depth exchange on the potential ethical issues, technical details of data analysis and potential research directions of the combination of gene and social science research, and he provided valuable suggestions on how doctoral students can develop research directions with long-term potential.

Finally, Ms. Li Ran summarized the lecture, thanked Professor Song Zhaoli for his wonderful speech, and pointed out that the lecture not only brought a wealth of cutting-edge knowledge for teachers and students, but also deepened their understanding and thinking on related issues through interactive exchanges. In the warm applause, the lecture ended successfully.

Contributed by Department of Human Resources Management

Edited by Xu Zhixing

Edited by Wei Hao