Publications

SSRN

10 Jan 2017
First Look

First Look at New Research: January 10, 2017

How did he do these deals? What strategies and tactics worked and what failed? Why and under what conditions? What ethical challenges does this approach present? Is there an underlying logic and method to his approach that, well beyond... View Details

Keywords: Sean Silverthorne

21 Feb 2005
Op-Ed

Is Business Management a Profession?

reason that the issue of trust arises is that these individuals are expected to exercise judgment—based on specialized knowledge and methods of analysis that they alone are thought to possess—in areas in which their decisions affect the... View Details

Keywords: by Rakesh Khurana, Nitin Nohria & Daniel Penrice

November 2022
Article

Measuring Inequality beyond the Gini Coefficient May Clarify Conflicting Findings

By: Kristin Blesch, Oliver P. Hauser and Jon M. Jachimowicz

Prior research has found mixed results on how economic inequality is related to various outcomes. These contradicting findings may in part stem from a predominant focus on the Gini coefficient, which only narrowly captures inequality. Here, we conceptualize the... View Details

Keywords: Economic Inequalty; Gini Coefficient; Income Inequality; Equality and Inequality; Social Issues; Health; Status and Position

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09 Jan 2024
Blog Post

Insights From Harvard Business School’s Peek Program

Peek is an annual online program for current undergraduate students that provides an opportunity to try out the HBS case method of study, join a leadership development discussion, gain an understanding of the career flexibility and... View Details

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data,... View Details

23 Apr 2018
Research & Ideas

Sponsorship Programs Could Actually Widen the Gender Gap

well, too. Sponsorship is a pretty new concept, but it’s becoming more popular, especially in professional service firms.” Sponsorship programs are meant to boost confidence among protégés, increasing the likelihood that they will compete more effectively against their... View Details

Keywords: by Carmen Nobel

March 2022 (Revised January 2025)
Technical Note

Linear Regression

By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton

This note provides an overview of linear regression for an introductory data science course. It begins with a discussion of correlation, and explains why correlation does not necessarily imply causation. The note then describes the method of least squares, and how to... View Details

Keywords: Data Science; Linear Regression; Mathematical Modeling; Mathematical Methods; Analytics and Data Science

Educators

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2015
Working Paper

Financial Patent Quality: Finance Patents After State Street

By: Josh Lerner, Andrew Speen, Mark Baker and Ann Leamon

In the past two decades, patents of inventions related to financial services ("finance patents"), as well as litigation around these patents, have surged. One of the repeated concerns voiced by academics and practitioners alike has been about the quality of these... View Details

Keywords: Patents; Lawsuits and Litigation; Finance

2020
Article

Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion

By: Dimitris Bertsimas and Michael Lingzhi Li

We formulate the problem of matrix completion with and without side information as a non-convex optimization problem. We design fastImpute based on non-convex gradient descent and show it converges to a global minimum that is guaranteed to recover closely the... View Details

Keywords: Mathematical Methods

October–December 2022
Article

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius

Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details

Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction

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16 Sep 2019
Research & Ideas

Crowdsourcing Is Helping Hollywood Reduce the Risk of Movie-Making

anything as monumental as a multimillion-dollar feature film." The answer resonates beyond Hollywood, carrying implications for any industry in which the stakes are high, uncertainty looms large, and alternative methods to de-risk ideas... View Details

Keywords: by Michael Blanding; Motion Pictures & Video

June 2010
Article

Are You a High Potential?

By: Douglas A. Ready, Jay A. Conger and Linda A. Hill

Some employees are more talented than others, and nearly every company has its method for identifying their high-potential managers. So how can you get on your company's high-potential list? Douglas A. Ready, of the talent-management research center ICEDR; Jay A.... View Details

Keywords: Talent and Talent Management; Employees; Leadership Development; Personal Development and Career; Personal Characteristics

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Research Summary

Overview

Social psychologist Amy Cuddy, an associate professor at Harvard Business School, uses experimental methods to investigate how people judge each other and themselves. Her research suggests that judgments along two critical trait dimensions – warmth/trustworthiness and... View Details

The Impact of Artificial Intelligence on Innovation

Artificial intelligence promises to greatly increase the efficiency of the economy. But it may have an even larger impact on the economy by serving as a new general-purpose “method of invention” that can reshape the nature of the... View Details

2019
Article

Overcoming Cultural Resistance to Open Source Innovation

By: John Winsor, Jin Hyun Paik, Michael Tushman and Karim R. Lakhani

Purpose: This article offers insight on how to effectively help incumbent organizations prepare for global business shifts to open source and digital business models.
Design/methodology/approach: Discussion related to observation, experience and case studies... View Details

Keywords: Open Source Innovation; Organizational Culture; Organizational Change and Adaptation; Business Model; Technological Innovation; Collaborative Innovation and Invention

Research Summary

Overview

By: Alison Wood Brooks

Professor Brooks studies the psychology of conversation and emotion—topics at the intersection of how people think, feel, and interact. From pitching ideas to seeking advice, from asking questions to giving compliments, from talking about (or hiding) our feelings and... View Details

Keywords: Anxiety; Emotion; Emotion Regulation; Reappraisal; Negotiation; Trust; Performance

2021
Working Paper

Technology Differentiation and Firm Performance

By: Sam Arts, Bruno Cassiman and Jianan Hou

Prior work has extensively studied how investing in R&D and building a technology portfolio relate to superior firm performance. However, the value of a firm’s technology portfolio should also be driven by the degree to which it is more unique and technologically... View Details

Keywords: Technology Portfolio; Differentiation; Competitiveness; Organizations; Technology; Performance; United States

SSRN

August 2021
Article

Multiple Imputation Using Gaussian Copulas

By: F.M. Hollenbach, I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward and A. Volfovsky

Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this paper, we present a simple-to-use... View Details

Keywords: Missing Data; Bayesian Statistics; Imputation; Categorical Data; Estimation