School of Business and Management Department of Information Systems, Business Statistics and Operations Management 180 Gender-biased Perception Towards Entrepreneurship Supervisor: KWON, Ohchan / ISOM Student: WONG, Tsz Kwan / GBUS Course: UROP4100, Fall This paper measures gender bias in discussions about women versus men in an online professional forum. I study the content of posts that refer to each gender and the transitions in the topics between consecutive posts once attention turns to one gender or the other. Discussions about women tend to emphasize their personal characteristics instead of professional accomplishments. Posts about women are also more likely to lead to deviations from professional topics than are posts about men. Who to Blame the Ricky Gig Economy: Jockey vs. Horse? Supervisor: KWON, Ohchan / ISOM Student: LEE, Chaewon / SBM Course: UROP2100, Fall Attracting young talents in innovative activities matters for economic growth. However, the talent pipeline is known to be leaky as not all young scientists remain in the same career trajectories over time. In this paper, we propose an evidence that advisor’s management quality affect young scientists’ career trajectories. Using a novel self-reported survey data from South Korea, we examine 1) what factors affect advisors’ management quality, and 2) how an advisor’ management quality affects the retention on young scientists in science. A particularly important idea we explore is young scientists are less likely to stay in science career when her advisor is harsher, even after controlling for academic productivity. We hope to make contributions to the literature of careers in science and the role of management practices in productivity and economic growth. Who Becomes Venture Capitalists? Supervisor: KWON, Ohchan / ISOM Student: CHIANG, Huei-syuan / GBUS Course: UROP1000, Summer In this paper, we examine the relationship between young talents’ country of origin and their contribution to science. Our empirical context, the international Genetically Engineered Machine (iGEM) competition allows us to identify young talents’ with similar interests and idea quality from different countries. There are two main findings in this research. First, we find that high-quality ideas are more likely to lead to publication. Second, more importantly, we find that even after controlling for idea quality, students from United States and a few other developed countries are significantly more likely to publish their findings in academic journals than students from other countries. The potential mechanisms driving the observed effects include mentor quality and level of encouraging publication formally.
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