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  • Teaching Interest

Decision Making Under Uncertainty

By: David E. Bell

Many of the decisions we face are made complicated by having uncertain consequences: how should I set my inventory when I don’t know what demand will be, should I refinance my mortgage when rates might go lower, how big a bet shall I make in a new business, and so... View Details

  • Research Summary

Entrepreneurial Management

By: Howard H. Stevenson
Howard H. Stevenson is researching and writing on the need for and consequences of predictability. In work designed for a managerial audience, he is examining the roles played by organizations, cultures, and ethical systems in enabling individuals to predict the... View Details
  • Teaching Interest

Executive Education: Finance for Senior Executives

By: Malcolm P. Baker

Finance for Senior Executives provides the frameworks to strategically use financial resources and position your company for future success. By examining corporate finance from both internal and external perspectives, this HBS Executive Education View Details

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Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation

By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
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Inflation, Openness, and Exchange-Rate Regimes. The Quest for Short-Term Commitment

By: Laura Alfaro
This paper further tests Romers (1993) extension of Kydland and Prescotts (1977) predictions on dynamic-inconsistency problems with regard to open economies. In a panel data set, I find that openness does not seem to play a role in the short run in restricting... View Details
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International Financial Integration and Entrepreneurship (joint with Andrew Charlton)

By: Laura Alfaro
We explore the relation between international financial integration and the level of entrepreneurial activity in a country. Researchers have stressed the role of new firm activity and economic dynamism on growth. Yet, the empirical effects of international capital... View Details
  • Research Summary

Making Machine Learning Models Interpretable

By: Himabindu Lakkaraju
I work on developing various tools and methodologies which can help decision makers (e.g., doctors, managers) to better understand the predictions of machine learning models. View Details
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MBA Required Curriculum - Strategy

By: Quan Le

Strategy


The objective of this course is to help students develop the skills for formulating strategy. It provides an understanding of:

  • A firm's operative environment and how to sustain competitive... View Details
  • Teaching Interest

MBA Required Curriculum—Strategy

By: Benjamin C. Esty

The objective of this course is to help students develop the skills for formulating strategy. It provides an understanding of:

  • A firm's operative environment and how to sustain competitive advantage.
  • How to generate superior... View Details
  • Teaching Interest

MBA Required Curriculum-- Strategy Course

By: Ramon Casadesus-Masanell

The objective of this course is to help students develop the skills for formulating strategy. It provides an understanding of:

  • A firm's operative environment and how to sustain competitive advantage.
  • How to generate superior value for customers... View Details
Keywords: Strategy; Competitive Strategy; Competitive Advantage
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  • Article

Overestimation in the Aggregation of Emotional Intensity of Social Media Content

By: Jonas Paul Schöne, Matthew D. Rocklage, Brian Parkinson and Amit Goldenberg
Users on social media are regularly presented with sequences of emotional content in their newsfeeds, which affects their viewpoints and emotions. Could the way users aggregate and remember emotional content from their feeds contribute to the fact emotions are... View Details
Keywords: Social Media; Emotions; Perception
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Overview

By: Iavor I. Bojinov
Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
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Overview

By: Ashley V. Whillans
Engaged with field work in East Africa, South Asia, and in several large hybrid organizations in the United States, Professor Whillans places a focus on exploring questions with strong theoretical motivation in the social psychological literature and relevant... View Details
  • Research Summary

Overview

By: Ethan C. Rouen
Relying on empirical archival methodologies—as well as techniques in data science—to develop and structure new sources of data by which to approach questions of looming disclosure changes, Professor Rouen has focused on one of the Securities and Exchange Commission’s... View Details
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Overview

By: Kris Johnson Ferreira
Professor Ferreira's research primarily focuses on how retailers can use algorithms to make better revenue management decisions, including pricing, product display, and assortment planning. In the retail industry, anticipating consumer demand is arguably one of the... View Details
Keywords: E-commerce; Analytics; Revenue Management; Pricing; Assortment Planning; Field Experiments; Operations; Supply Chain; Supply Chain Management; Retail Industry
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  • Article

People Overestimate How Harshly They Are Evaluated for Disengaging from Passion Pursuit

By: Zachariah Berry, Brian J. Lucas and Jon M. Jachimowicz
The call to pursue one’s passion is ubiquitous advice, and prior research highlights the many upsides to doing so. To pursue one’s passion sustainably, people need to try different pursuits— and critically, drop those that are not tenable for them. However,... View Details
Keywords: Moral Sensibility; Attitudes; Perception; Judgments; Behavior; Goals and Objectives
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Reflexivity in Credit Markets

By: Robin Greenwood, Samuel G. Hanson and Lawrence J. Jin
Reflexivity is the idea that investors' biased beliefs affect market outcomes and that market outcomes in turn affect investors’ future biases. We develop a dynamic behavioral model of the credit cycle featuring this two-way feedback loop. Investors form beliefs about... View Details
Keywords: Reflexivity; Attitudes; Financial Markets; Forecasting and Prediction; Investment; Credit
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Selection and Market Reallocation: Productivity Gains from Multinational Production

By: Laura Alfaro
Assessing the productivity gains from multinational production has been a vital topic of economic research and policy debate. Positive aggregate productivity gains are often attributed to within-firm productivity improvement; however, an alternative, less emphasized... View Details
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Selection, Reallocation, and Spillover: Identifying the Sources of Gains from Multinational Production (with Maggie Chen)

By: Laura Alfaro

Quantifying the gains from multinational production has been a vital topic of economic research. Positive productivity gains are often attributed to knowledge spillover from multinational to domestic firms. An alternative, less stressed explanation is firm selection... View Details

Keywords: Gains From Multinational Production; Firm Selection; Knowledge Spillover
  • Research Summary

Selective Attention and Learning

By: Joshua R. Schwartzstein

What do we notice, and how does this affect what we learn? Standard economic models of learning ignore memory by assuming that we remember everything. But there is growing recognition that memory is imperfect. Further, memory imperfections do not stem from limited... View Details

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