報告人：Feng Zhu教授（美國哈佛大學）
時間：2020年11月5日 上午10:00-11:30
會議號：騰訊會議 276 448 865
內容摘要：
In the digital economy, scale is no guarantee of continued success. After all, the same factors that help an online platform expand quickly--such as the low cost of adding new customers--work for challengers too. What, then, allows platforms to fight off rivals and grow profits? Their ability to manage five aspects of the networks they're embedded in: (1) Network effects, in which users attract more users; (2) Clustering, or fragmentation into many local markets; (3) The risk of disintermediation, wherein users bypass a hub and connect directly; (4) Vulnerability to multi-homing, which happens when users form ties with two or more competing platforms; (5) Network bridging, which allows platforms to leverage users and data from one network in another network. This talk will discuss several research projects related to this topic.
報告人簡介：
Feng Zhu is the Piramal Associate Professor of Business Administration at Harvard Business School. In his research, Professor Zhu examines competitive strategy and innovation in high-technology industries, with an emphasis on the design of platform business models and its impact on platform performance. He has studied a wide range of platforms, such as video game consoles, social-networking sites, Craigslist, Wikipedia, smartphone operating systems, blogs, sharing economy platforms, newspapers, and ad-sponsored free products.
Professor Zhu’s work has appeared in journals including the American Economic Review, Management Science, Organization Science, Strategic Management Journal, and Information Systems Research. It has been covered by such media as the Washington Post, the Financial Times, the New York Times, and the Wall Street Journal. His research has won several best paper awards. He received the Past Chairs’ Emerging Scholar Award from the Technology and Innovation Management Division of the Academy of Management.
Professor Zhu earned his Ph.D. in science, technology and management and a master’s in computer science at Harvard University. He did his undergraduate work in computer science, economics, and mathematics at Williams College.
(承辦：技術經濟及戰略管理系、科研與學術交流中心)
