Publications
Publications
Show Results For
- All HBS Web
(2,049)
- Faculty Publications (742)
Empire
→
- 2023
- Working Paper
The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities
By: David S. Scharfstein and Sergey Chernenko
We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details
- April 2023
- Article
The Stock Market Valuation of Human Capital Creation
By: Ethan Rouen and Matthias Regier
We develop a measure of firm-year-specific human capital investment from publicly disclosed personnel expenses (PE) and examine the stock market valuation of this investment. Measuring the future value of PE (PEFV) based on the relation between... View Details
- April 2023
- Article
The Subjective Expected Utility Approach and a Framework for Defining Project Risk in Terms of Novelty and Feasibility—A Response to Franzoni and Stephan (2023), ‘Uncertainty and Risk-Taking in Science’
In their Discussion Paper, Franzoni and Stephan (F&S, 2023) discuss the shortcomings of existing peer review models in shaping the funding of risky science. Their discussion offers a conceptual framework for incorporating risk into peer review models of research... View Details
- 2023
- Working Paper
Organizational Responses to Product Cycles
By: Achyuta Adhvaryu, Vittorio Bassi, Anant Nyshadham, Jorge Tamayo and Nicolas Torres
Product cycles entail the mass production of new—and often increasingly complex—products on a regular basis. How do firms manage these changes? We use granular daily data from a leading automobile manufacturer to study the organizational impacts of introducing new... View Details
- March 2023
- Case
MrBeast: Building a YouTube Empire
By: Anita Elberse and Oliver Band
Wednesday November 16, 2022 was a historic day in the ascent of Jimmy Donaldson, better known as MrBeast, to the top echelon of YouTube creators. That day he became the YouTuber with the most subscribers ever—a total of 112 million. The meteoric rise of the 24-year-old... View Details
- 2023
- Working Paper
Distributionally Robust Causal Inference with Observational Data
By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details
- February 2023
- Article
The Effect of Systems of Management Controls on Honesty in Managerial Reporting
By: Aishwarrya Deore, Susanna Gallani and Ranjani Krishnan
While budgetary controls with capital rationing are optimal in theory and widespread in practice, empirical research documents their association with higher employee dishonesty compared to budgetary controls without rationing. In this study, we examine whether... View Details
- 2023
- Working Paper
The Subjective Expected Utility Approach and a Framework for Defining Project Risk in Terms of Novelty and Feasibility—A Response to Franzoni and Stephan (2023), ‘Uncertainty and Risk-Taking in Science’
In their Discussion Paper, Franzoni and Stephan (F&S, 2023) discuss the shortcomings of existing peer review models in shaping the funding of risky science. Their discussion offers a conceptual framework for incorporating risk into peer review models of research... View Details
- January 2023
- Article
Calculators for Women: When Identity-Based Appeals Backfire
By: Tami Kim, Kate Barasz, Michael I. Norton and Leslie K. John
From “Chick Beer” to “Dryer Sheets for Men,” identity-based labeling is frequently deployed by marketers to appeal to specific target markets. Yet such identity appeals can backfire, alienating the very consumers they aim to attract. We theorize and empirically... View Details
Keywords: Categorization Threat; Stereotypes; Identity; Labels; Gender; Perception; Consumer Behavior
- 2023
- Article
Experimental Evaluation of Individualized Treatment Rules
By: Kosuke Imai and Michael Lingzhi Li
The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details
- January 2023
- Article
Psychological Safety Comes of Age: Observed Themes in an Established Literature
By: Amy C. Edmondson and Derrick P. Bransby
Since its renaissance in the 1990s, psychological safety research has
flourished—a boom motivated by recognition of the challenge of navigating uncertainty and change. Today, its theoretical and practical significance
is amplified by the increasingly complex and... View Details
- Working Paper
Diversification as an Adaptive Learning Process: An Empirical Study of General-Purpose and Market-Specific Technological Know-How in New Market Entry
By: Dominika Kinga Randle and Gary P. Pisano
An enduring trait of modern corporations is their propensity to diversify into multiple lines of business. Penrosian theories conceptualize diversification as a strategy to exploit a firm’s fungible, yet “untradeable,” resources and point to redeployment of... View Details
- 2022
- Article
Becoming a Learning Organization While Enhancing Performance: The Case of LEGO
By: Thomas Borup Kristensen, Henrik Saabye and Amy Edmondson
Purpose - The purpose of this study is to empirically test how problem-solving lean practices, along with
leaders as learning facilitators in an action learning approach, can be transferred from a production context to a
knowledge work context for the purpose... View Details
- 2022
- Working Paper
Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions
By: Caleb Kwon, Ananth Raman and Jorge Tamayo
We empirically analyze how managerial overrides to a commercial algorithm that forecasts demand and schedules labor affect store performance. We analyze administrative data from a large grocery retailer that utilizes a commercial algorithm to forecast demand and... View Details
- Article
Innovations in Retail Operations: Thirty Years of Lessons from Production and Operations Management
By: Marshall Fisher and Ananth Raman
We review papers published in Production and Operations Management (POM) during its thirty-year history that deal with retail operations issues with an empirical approach. The papers span a range of issues, from traditional ones like forecasting and inventory... View Details
- 2022
- Article
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations
By: Tessa Han, Suraj Srinivas and Himabindu Lakkaraju
A critical problem in the field of post hoc explainability is the lack of a common foundational goal among methods. For example, some methods are motivated by function approximation, some by game theoretic notions, and some by obtaining clean visualizations. This... View Details
- 2023
- Article
Green Bargains: Leveraging Public Investment to Advance Climate Regulation
By: Jonas Meckling and Jesse Strecker
Climate policy has entered a new era as public investment is increasingly moving to center stage, including recovery spending and long-term climate investment plans. While essential for decarbonization, public investment is not enough – the carrots of investment need... View Details
- 2022
- Article
The Effects of Public and Private Equity Markets on Firm Behavior
By: Shai Bernstein
In this article, I review the theoretical and empirical literature on the effects of public and private equity markets on firm behavior, emphasizing the consequences that emerge from disclosure requirements, ownership concentration, and degree of firm standardization.... View Details
- 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
- 2022
- Article
Diffusing Management Practices within the Firm: The Role of Information Provision
By: Michael J. Lenox and Michael W. Toffel
Why are some firms more successful in adopting profitable environmental management practices than others? A key role of corporate managers is to encourage subsidiaries to adopt innovative practices. We examine the conditions under which corporate managers use... View Details