Innovation Opportunities and Risks

Advances in technology change the way consumers search and shop for products. Emerging is the trend of home-shopping devices such as Amazon’s Alexa and Google Home, which allow consumers to search or order products. We investigate how consumer brand and technology preferences may interact with the functionalities of technology-enabled shopping (TES) devices to determine the ...Read More

Researchers and practitioners have increasingly embraced the novel practice of eliciting the entire belief distributions, as it provides a more thorough understanding of stakeholders’ beliefs. My recent paper (co-authored with Professor Joe Simmons) suggests that constructing belief distributions can sometimes inadvertently exacerbate people’s overconfidence in their predictions. Read More

I study investors’ trade-off between ETFs and open-ended mutual funds in the presence of idiosyncratic liquidity risk and aggregate uncertainty. Based on a portfolio choice model, I show that ETFs and mutual funds provide liquidity at different maturities. Read More

This project aims to investigate the impact of monitoring on VC reinvestment performance. Using novel data sources, I construct a proxy for monitoring and test the causal relationship between monitoring and investment outcomes. To address the endogeneity issue regarding monitoring, I use the traveling population as an instrumental variable for VC’s monitoring intensity. Read More

Academics and practitioners will log onto an intuitive user interface and type in features of their own company (e.g., its size and industry). They will immediately be greeted with an “instant meta-analysis” that summarizes decades of academic findings related to the most important predictors of creativity and innovation in organizations. Read More

Tsai-Hsuan (Angel) Chung, Phd Candidate at the Wharton School; Osbert Bastani, Penn School of Engineering; Francis Smart, PhD Candidate at the University of Montana; Jatu Abdulai*; Patrick Bayoh*; Musa Komeh*; Vahid Rostami* Abstract: This proposal aims to develop and deploy novel methods that integrate machine learning and optimization to improve the efficiency and equity of global ...Read More

The US government recently required healthcare price transparency from hospitals and insurers in an attempt to control spiraling healthcare costs. On the one hand, price transparency and online search tools have been very effective in increasing competition for other products in the e-commerce space. On the other hand, healthcare is a complex product, often bought ...Read More

Can companies providing goal-tracking technology innovate their products to better enable consumers to keep going when they inevitably fail (i.e., skip a workout or overeat calories)? Our research aims to fill this gap by testing the effectiveness of one type of goal tracking design: dynamic goal setting. Most traditional goal tracking apps focus on static ...Read More

Shifts are the dominant way to work in many contexts requiring 24/7 coverage, including call centers, police departments, and hospitals. While the detriments of shift work are well-documented both at the individual and organizational levels, its deployment is often unavoidable given round-the-clock staffing needs. We explore a potential organizational lever—incorporating heterogeneous preferences over shift design—to ...Read More

What is the optimal disclosure policy for swing pricing by open-end mutual funds? Specifically, which disclosure rule, with respect to the swing factor and – thresholds, minimizes run risk in open-end mutual funds? Does the disclosure policy rule that is optimal from a financial stability perspective also preclude the possibility of front running by fund ...Read More