I'm an Assistant Professor of Management at the Wharton School at the University of Pennsylvania. My research focuses on entrepreneurship, digital platform work, and other forms of nontraditional employment, with a particular focus on emerging economies. My work draws on a variety of methodologies, with a focus on new computational methods and text as data. I did my Ph.D. at Columbia Business School.
We demonstrate how a novel synthesis of three methods—(a) unsupervised topic modeling of text data to generate new measures of textual variance, (b) sentiment analysis of text data, and (c) supervised ML coding of facial images with a cutting-edge convolutional neural network algorithm—can shed light on questions related to CEO oral communication. With videos and corresponding transcripts of interviews with emerging market CEOs, we use this synthesis of methods to discover five distinct communication styles that incorporate both verbal and nonverbal aspects of communication. Our data comprises interviews that represent unedited expressions and content, making them especially suitable as data sources for the measurement of an individual's communication style. We then perform a proof-of-concept analysis, correlating CEO communication styles to M&A outcomes, highlighting the value of combining text and videographic data to define styles. We also discuss the benefits of using our methods versus current research methods.
Small unregistered firms contribute to a substantial proportion of global economic activity, particularly in developing regions. In explaining variation in productivity in these types of informal firms, research has focused primarily on the adoption of effective business practices and access to capital, with little focus on fundamental positioning. This article explores the nature of differentiation in microenterprises, introducing a text-based measure of differentiation using state-of-the-art sentence embeddings. Using a combined sample of nearly 10,000 microenterprises across eight developing countries, I estimate that a standard deviation increase in differentiation is associated with approximately an 11 percent increase in revenues and an eight percent increase in profit. I show that the relationship between differentiation and performance is substantially stronger for male microenterprise owners, and that the propensity to differentiate increases with years of education and decreases with age. Finally, I estimate the impact of common policy interventions on microenterprise differentiation. The results suggest that standard business skills training interventions have little effect on differentiation and that access to individual-liability microfinance may actually decrease it.
Recent work in entrepreneurial strategy has brought new richness to understanding how entrepreneurs make strategic choices between alternatives. In this article we consider how these processes may differ in the context of a large population of less studied entrepreneurs: microenterprise owners in lower-income economies. While much work on entrepreneurs in the industrialized world has focused on the fundamental error of overinvestment — persisting too long with a losing prospect — we suggest that among this population, a larger problem may be underinvestment, or abandoning a promising idea too early. In a randomized field experiment, we examine this question in the context of small informal businesses in Zimbabwe, studying a highly effective entrepreneurial intervention developed by an international NGO bundling training and a microloan referral. We show that, on average, assignment to treatment made the entrepreneurs in this study more likely to expand or modify their existing business, and less likely to start over with a new business. This stay-the-course effect was moderated by baseline performance: that is, assignment to the intervention made entrepreneurs more likely to persist with a high-performing business. We show that, roughly nine months post training, the highest business performance was found in those who invested or expanded on their current business, and that new practice adoption was not associated with performance.
Microfinance is a social technology that uses peer-to-peer social pressure to enforce and encourage repayment. By 2010, there existed over 100 million borrowers throughout the world with loans at microfinance institutions (MFIs), hierarchical organizations with loan activities carried out at local branches nested within a larger corporate structure. In this study we examine the determinants of performance at the local branch level, using a detailed survey to collect financial data, managerial practices, and employee attitudes at over 400 local branches of 19 MFIs in India. We show that while lending practices tend to be standardized across MFIs, organizational culture – specifically the prosocial attitudes of employees – varies considerably at the local level. Moreover, measures of prosocial culture are strongly and positively associated with local branch productivity and appear to reflect a founding imprint: branches of firms founded as non-profit evince a strong prosocial culture even after shifting to a for-profit business model. The results emphasize the importance of the prosocial culture in branches, with headquarters responsible for the routinization of practices across branches. We introduce three broad propositions with relevance to hierarchical organizations: first, that while practices may be corporate, culture is local. Second, local culture is likely to reflect an imprint of founding conditions. Third, local culture will predict variance in local performance.