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  • Research Summary

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: Roberto Verganti
Roberto’s research focuses on how to create innovations that are meaningful for people, for society, and for their creators. He explores how leaders and organizations generate radically new visions, and make those visions come real. His studies lie at the intersection... View Details
Keywords: Integrated Design; Strategy; Design Thinking; Innovation; Artificial Intelligence; Design; Technology; Leadership; Innovation Strategy
  • Research Summary

Overview

By: Shunyuan Zhang
Professor Zhang uses machine learning to address marketing problems that have arisen within the nascent sharing economy. She conducts rigorous analyses of structured and unstructured data generated by new sharing economy platforms to address important issues emerging... View Details
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By: Srikant M. Datar
Professor Datar has several research and course development interests. His initial areas of research interest were in cost management and management control, strategy implementation and governance. Over the last few years his areas of interest are management education,... View Details
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By: Reshmaan N. Hussam

Engaged with field work in South Asia and East Africa, Professor Hussam places a focus on exploring questions with strong theoretical motivation in the economics literature as well as relevant downstream policy implications. Her research spans four broad interests.... View Details

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By: Joshua Lev Krieger
In examining the competitive dynamics of R&D strategy, Josh has become particularly interested in how the introduction of new knowledge generated by rivals impacts the direction of R&D efforts. Understanding how new information alters project portfolio decisions is... View Details
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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
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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

Perceptions about Monetary Policy

By: Michael D. Bauer, Carolin Pflueger and Adi Sunderam
We estimate perceptions about the Federal Reserve’s monetary policy rule from panel data on professional forecasts of interest rates and macroeconomic conditions. The perceived dependence of the federal funds rate on economic conditions varies substantially over time,... View Details
Keywords: Monetary Policy; Policy; Interest Rates; Perception; Economy; Forecasting and Prediction
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Reducing Prejudice with Counter-stereotypical AI

By: Erik Hermann, Julian De Freitas and Stefano Puntoni
Based on a review of relevant literature, we propose that the proliferation of AI with human-like and social features presents an unprecedented opportunity to address the underlying cognitive and affective drivers of prejudice. An approach informed by the psychology of... View Details
Keywords: Prejudice and Bias; AI and Machine Learning; Interpersonal Communication; Social and Collaborative Networks
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  • Research Summary

Relative Thinking and Consumer Choice

By: Joshua R. Schwartzstein

Fixed differences appear smaller when compared to large differences. Professor Schwartzstein has proposed a model of relative thinking, in which a person weighs a given change by less when he compares it to a larger range. Relative thinking implies that a person is... View Details

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Research Summary

By: Leslie A. Perlow

There has been tremendous change in the workplace — ubiquitous technology, 24/7 globalization, hyper-efficiency and now significant changes in work location. Professor Perlow’s research focuses on the implications for the ways we work and live, and what we can do to... View Details

  • Teaching Interest

Scaling Minority Businesses

By: Archie L. Jones

Scaling Minority Businesses (SMB) is a field course designed to leverage the intellectual power and community of Harvard Business School to address the vital needs of Black-owned enterprises as they face the twin tasks of surviving and growing. The course... View Details

  • 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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  • Article

Serving with a Smile on Airbnb: Analyzing the Economic Returns and Behavioral Underpinnings of the Host’s Smile

By: Shunyuan Zhang, Elizabeth Friedman, Kannan Srinivasan, Ravi Dhar and Xupin Zhang
Non-informational cues, such as facial expressions, can significantly influence judgments and interpersonal impressions. While past research has explored how smiling affects business outcomes in offline or in-store contexts, relatively less is known about how smiling... View Details
Keywords: Sharing Economy; Airbnb; Image Feature Extraction; Machine Learning; Facial Expressions; Prejudice and Bias; Nonverbal Communication; E-commerce; Consumer Behavior; Perception
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Space: Public and Commercial Economics

By: Matthew C. Weinzierl

Space is a place of unparalleled possibility for humanity, and it is in the midst of a revolution. In this course, we will learn about this revolution and the companies, such as SpaceX, Blue Origin, Axiom, Planet, and more. We will be joined by leaders in the... View Details

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Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments

By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
Keywords: AI and Machine Learning; Mathematical Methods
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  • Teaching Interest

Strategies for Value Creation (MBA Course)

By: Benjamin C. Esty
SVC is a capstone course that integrates topics from finance, strategy, and leadership. It is intentionally cross-functional and designed to force integration at the end  of the MBA program.  Students develop a value creation mindset and learn that value creation is an... View Details
  • Teaching Interest

Strategy

By: Goran Calic

Strategic management focuses on the concept of strategy analysis, formulation, and implementation by exploring the functions and nature of general management. The course serves as an opportunity to develop skills for strategic thinking and analysis, leadership,... View Details

  • Teaching Interest

Strategy

By: Jan W. Rivkin

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

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

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