My overall research agenda focuses mainly on the impact of winning awards on individuals’ work behaviors, as well as their consequential effects on organizational outcomes. Specifically, I ask (1) how winning awards and grants change individuals’, especially knowledge works’ career choices, including entrepreneurial entry, and (2) how winning awards change decision makers’ herding behaviors in strategic decision making and investment activities. My work on awards examines how they can work as nudges to encourage entrepreneurial entry. My study on reputation and herding addresses a moral hazard issue that has been overlooked in the research of imitation strategy, where I discuss when managers may knowingly make poor decisions for the firm due to their own reputation concerns, and I  empirically examine the mechanism by leveraging winning awards as a reputation shock. My research aims to provide implications on how to improve the quality of managerial decisions, and how to effectively utilize awards for better organizational and societal outcomes. I leverage various datasets including analysts’ awards and entrepreneurial activities, startup funding and VC fundraising activities, and scientific lab funding and research production.

Working Paper

“Revisiting Zuckerman's (1999) Categorical Imperative: An Application of Epistemic Maps for Replication” (with Brent Goldfarb, conditional accepted at Strategic Management Journal)

"Reputation and Herding" (Preparing for resubmission at Strategic Management Journal) 

Research summary here

“Performance Awards and Entrepreneurial Entry” (Job Market Paper)

Research summary here

Work In Progress

“The Durability and Fragility of Reputation”(with Kalinda Ukanwa)

“Do Sheep Make Unicorns? A Study of VC Herding and Entrepreneurial Crowding” (with Jiayi Bao)

“Booms, Busts, and Research Lab Productivity” (with Waverly Ding and Chris Liu)

“To Explore or Exploit? The Effects of Winning Awards on Sell-Side Equity Research” 

“External Ratings and Mutual Fund Herding” (with Jinming Xue)