团队

港大经管学院助理教授党矗（Ivy Dang）早前针对网恋平台的偏好差异进行研究，发现执着于“梦中情人”的理想条件，可能让用户错失真正合适的伴侣。她也指出，过多的个人信息并不一定有助于配对成功，反而可能导致用户过早筛选潜在对象，降低配对机会。

This paper examines the role of information in two-sided matching markets where preference mismatch is present. Two-sided markets are characterized by different preferences of the parties involved, and a match occurs when both sides show a preference for each other. In practice, however, there is often a preference mismatch. In this study, we use a large data set from an online dating website to provide empirical evidence for preference mismatch in the field. We also develop empirical models to investigate the impact of information under preference mismatch by analyzing variations in the amount of available information. Specifically, we compare partial and complete information contained in the users’ short and long profiles, respectively. We find that more information about the other side does not necessarily improve the likelihood of a match. In fact, the side making the proposal has a better chance of matching if the decision is based on the information contained in the short profile rather than the long profile. This suggests that users are better off seeing partial rather than complete information about the candidates, a phenomenon we refer to as the “less information is more” effect. Our empirical analysis shows that this effect is driven by the mismatched preferences of the two sides. These results imply that there is an optimal amount of information that one side should possess about the other before making a proposal. Our study highlights the importance of optimal information design strategies to determine the appropriate amount of information that should be provided to each side. Our findings also offer managerial implications regarding information provision strategies for online platforms in general.

理科出身的我，非常欣赏同学们的商业触觉。作为他们的师长，在教导他们使用数理工具作出科学判断的同时，我亦希望能够鼓励他们爱上学习，保持对未知事物的好奇心，应用课堂所学到的知识为社会做出贡献。

党博士在大学主修应用物理学，毕业后以博士生的身份在香港研究量子物理学。因缘际会下，她发现自己真正的兴趣所在—计量市场学。2020年2月，党博士以市场学助理教授的身份加入香港大学经管学院。理科出身的她希望将自然科学中的数理模型和归纳推理方法应用到教学和研究中，为商学教育和发展做出自己的贡献。

As coronavirus rages across the globe, online business is still booming, with data and analytics driving this trend. People now marooned at home for the foreseeable future are finding the daily goods they need from online stores, solace in conferencing apps, and entertainment provided by streaming platforms. The world is revolving increasingly online with lockdowns in place, and data is being even further highlighted as an undisputable source of wealth.