High resource constraints and the covert nature of sex trafficking provide significant barriers to developing data-driven innovations that inform law enforcement investigations and trials. We leverage massive deep web data (collected globally from leading adult services websites) in tandem with a novel machine learning framework to unmask sex-trafficking recruitment-to-sales pathways.…Read More
We propose that an important hurdle preventing organizations from diversifying is their ability to accurately diagnose a lack of diversity in their ranks in the first place. Specifically, we theorize that people who belong to or create groups within organizations (organizational “insiders”) perceive those groups to be more diverse than outside observers (organizational “outsiders”).…Read More
The pharmaceutical industry is one of the most innovative industries in the US. An important driver of innovation in the pharmaceutical industry is research & development (R & D). How do the portfolios of drugs being developed by pharmaceuticals affect the success rates of innovation? In this project, we will quantify the extent of economies of scope in prescription drug development.…Read More
How can rooftop solar owners capture economic value from investing in battery technologies? Storage adds at least three strategic options for homeowners that previously could only directly consume solar generation and sell any excess instantaneously, thus they traditionally relied on feed-in tariffs or other subsidies.…Read More
The need for impact measurement harmonization is a common refrain among impact investors. However, instituting standards and common frameworks requires an awareness of the constraints under which impact investors operate in their day-to-day work.…Read More
A significant challenge that online social media platforms such as Facebook and Twitter face today is acting as the custodians of the Internet while at the same time being the center of self-expression and user-generated content.…Read More
We empirically show people tend to associate a higher valuation of Bitcoin with a higher Bitcoin exchange rate, and such exchange rate has significant impacts on both the supply and demand of the mining rigs.…Read More
A fundamental question remains unanswered which I seek to address in this research: What is the actual value of novelty in pharmaceuticals to consumers?…Read More
This paper investigates the cor-porate parenting advantage, the extent to which corporate parents improve the performance of theirsubsidiaries. …Read More
Few studies have examined the impact of divestitures on the innovation performance of firms. In particular, little attention has been paid into how the divestiture of firms’ non-core businesses could influence the innovation outcomes of their core businesses. …Read More
The PCMH model has significant impact on patterns of health care utilization, especially when heterogeneity in implementation is accounted for in program evaluation.…Read More
Commuting is costly for employees, but is it costly for employers in terms of lost productivity? We study the causal effects of commuting distance on inventor productivity. Specifically, we estimate how inventor productivity changes when their employer relocates.…Read More
Experimentation has been the center of a fascinating debate among entrepreneurship practitioners throughout the past decade. While intellectually stimulating and practically relevant, this discussion has received little attention from management research, and therefore has no scientific support. …Read More
This study examines the tension between learning and appropriability in the experimentation process of early-stage ventures. I build a stylized model to argue that, when formal intellectual property is weak, the learning benefit of experimentation may be offset by its imitation risk. …Read More
David Hsu, Management, The Wharton School, Qingqing Chen, PhD Candidate in Business Economics, The Wharton School, and David Zvilichovsky, Coller School of Management, Tel Aviv University Abstract: How does inventor team “commingling” (containing inventors from the acquiring and acquired firms) in technology startup acquisitions relate to innovation outcomes? Commingling reflects…Read More
Evan Rawley, Associate Professor of Management, University of Connecticut, and Robert Seamans, Stern School of Business, NYU Abstract: We study how internal agglomeration—geographic clustering of business establishments owned by the same parent company—influences establishment productivity. Using Census microdata on the population of U.S. hotels from 1987-2007, we find that doubling the…Read More
We develop a general-equilibrium asset-pricing model with dynamic games of price competition. Price war risks arise endogenously from declines in long-run growth as firms’ incentive to undercut prices grows stronger with a worse growth outlook. …Read More
This paper presents a formal model that elucidates how sustained performance heterogeneity emerges from competitive amplification due to endogenous resource investment under uncertainty. Specifically, the model shows that if resources are scale free, any small resource differences are amplified into large performance differences. …Read More
I aim to contribute to corporate strategy and technology and innovation management literatures by refining the way we think about how firms’ externally accessible resources and capabilities influence those firms’ heterogeneous boundary choices and their resulting outcomes. …Read More
This paper addresses the recent trend of offering unlimited vacation to employees. While potentially useful for acquiring human capital benefits, unlimited vacation is a risky perk for firms due to the possibility of abuse.…Read More
