The Research Development Workshop is a newly launched conference event at CSAMSE 2025, designed to advance research in the frontier fields of management science, bringing together leading scholars to explore cutting-edge developments in theory and practice. This workshop pairs each presenter with a carefully selected senior discussant. Through in-depth discussions and open Q&A, the workshop fosters a collaborative atmosphere and provides participants with valuable feedback, expanded professional networks, new ideas, and potential collaboration opportunities.

In alignment with this year's conference theme, the workshop will focus on presentations at the intersection of AI and Management Science. The presentation papers of the pilot program this year will be by invitation only. In the future, the presenting papers, along with the related research projects, will be selected through open submission.

Format:

This year’s Research Development Workshop will feature THREE presenters, with each allocated approximately one hour for presentation and discussion. The detailed schedule is as follows:

l Presentation (30 minutes): Each presenter will have 30 minutes to present their paper.

l Discussant Feedback (15 minutes): The discussant will provide feedback for 15 minutes, after which the presenter will respond to the discussant's comments.

l Open Q&A (15 minutes):  An additional 15 minutes will be reserved for the audience to engage in discussion with both the presenter and the discussant.

Instructions for Presenter and Discussant:

For presenters, we kindly ask you to present a high-quality scientific research paper, which should be either a paper under review or a working paper with a completed draft. The organizing committee will match each presenter with an appropriate senior discussant by early June 2025. Presenters are required to send their papers to their assigned discussant at least one month before the workshop begins.

For discussants, we kindly request that you thoroughly review the assigned paper in advance and prepare feedback in the form of a few slides to be presented during the 15-minute feedback session.

Speaker and Discussant

Prof S. Alex Yang

   London Business School

Topic

Generative AI and Copyright: A Dynamic Perspective

Speaker Bio

S. Alex Yang is a Professor of Management Science and Operations at London Business School. Alex holds a PhD and an MBA from the University of Chicago Booth School of Business, an MS from Northwestern University, and a BS from Tsinghua University. Focusing on inter-disciplinary topics spanning over operations, finance, and technology, Alex’s research has appeared in academic journals such as Management Science, M&SOM, and Journal of Financial Economics, and has received several best paper awards. Alex has taught on the MBA, EMBA, and executive education programmes in universities and business schools around the world. Beyond research and teaching, Alex has working and consulting experience in banks, Fintech and technology companies, hedge funds, airlines, and international organizations.

   Prof Juan Feng（冯娟）

   Tsinghua University

Topic

Knowing Me, Telling Me: Information Design in Gen-AI Enabled Communication in Digital Marketing

Speaker Bio

Prof. Feng Juan is a recipient of the National High-Level Talent Program (CJJX) and a high-level talent in Shenzhen. She is currently the Associate Chair of the Department of Management Science and Engineering at the School of Economics and Management, Tsinghua University, and the Hon Hai Chair Professor. She is also a professor at the Tsinghua Shenzhen International Graduate School’s Institute for Innovation Management and the Director of the Research Center for Digital Economy (Greater Bay Area) at the Shenzhen Research Institute of Economics and Management, Tsinghua University. Since 2022, Prof. Feng has served as the Vice President of the Association for Information Systems (AIS), becoming the first Asian scholar with a Chinese passport to hold a leadership position in the history of the AIS, overseeing the Asia-Pacific region.

Prof. Feng's research focuses on the business and policy challenges brought about by digital technologies and artificial intelligence, as well as the new changes in the information environment due to IT. She has led several national and provincial key projects, including three National Natural Science Foundation projects and several Hong Kong government-funded projects. Prof. Feng has published over 60 papers in top international journals, such as Information Systems Research and Management Science, with more than ten of these papers included in the UTD-24 journals. She also won the Test of Time Paper Award from the INFORMS Journal of Computing, recognizing the long-term significant impact and value of her research contributions to the field.

Prof. Feng holds senior editorial or editorial board positions in several top international journals. She is currently the Chinese scholar with the most senior editorial positions in the UTD-24 journals. In terms of talent development, she has supervised over 30 graduate students, with their collaborative research published in top-tier journals like ISR, POM, and JMIS. Her graduates have secured positions at prestigious institutions such as Renmin University of China and Harbin Institute of Technology.

In terms of technology commercialization, Prof. Feng’s team developed the academic tool "QingAI Academic Assistant," based on generative artificial intelligence, which has more than 8,000 registered users and significantly enhanced research efficiency, earning widespread praise from the academic community. Prof. Feng is also active in organizing academic exchange activities both domestically and internationally. She has been invited to deliver keynote speeches at various conferences, sharing her cutting-edge research and stimulating lively discussions among scholars. In 2024 alone, her activities benefited more than 6,000 participants. Prof. Feng has shared her groundbreaking research at international conferences on smart finance and "Data Intelligence and Management," offering new perspectives on data sharing and the application of artificial intelligence technologies.

   Prof Jing Wu（吴靖）

   The Chinese University of Hong Kong

Topic

Decoding the Sales Impact of Persuasive Strategies in Livestream Selling

Speaker Bio

Prof. Jing Wu is a tenured professor at the CUHK Business School, Associate Director of the Asia Institute of Supply Chains and Logistics, and Director of the MSc in Business Analytics program. He received his bachelor’s degree in Electronic Engineering from Tsinghua University, and later earned his MBA and Ph.D. from the Booth School of Business at the University of Chicago.

Prof. Wu’s research focuses on global supply chain management, the interface of operations and finance, as well as the application of unstructured data and large language models (LLMs). He has published multiple papers in UTD journals such as Management Science, M&SOM, ISR, POMS, and JIBS. His research findings and insights have been featured by over 400 media outlets across more than 20 countries, including Xinhua News Agency, The Wall Street Journal, and The Economist. He has also been invited to give talks at institutions such as the Chinese Academy of Social Sciences, the China Finance 40 Forum (CF40), the U.S. Federal Reserve (FED), the U.S. Securities and Exchange Commission (SEC), the International Monetary Fund (IMF), and the Asian Development Bank (ADB).

His book 《全球供应链超级趋势》, published by CITIC Press, has sparked wide attention and discussion in academic and industry. Prof. Wu also serves as an Associate Editor for several top-tier UTD journals, including M&SOM and POMS.