Publications
Publications
Show Results For
- All HBS Web
(951)
- Faculty Publications (157)
Page 1 of 157
Results →
- January–February 2025
- Article
The Double-Edged Sword of Exemplar Similarity
By: Majid Majzoubi, Eric Zhao, Tiona Zuzul and Greg Fisher
We investigate how a firm’s positioning relative to category exemplars shapes security analysts’ evaluations. Using a two-stage model of evaluation (initial screening and subsequent assessment), we propose that exemplar similarity enhances a firm’s recognizability and... View Details
- 2024
- Working Paper
Why Has Construction Productivity Stagnated? The Role of Land-Use Regulation
By: Leonardo D’Amico, Edward Glaeser, Joseph Gyourko, William Kerr and Giacomo A. M. Ponzetto
We document a Kuznets curve for construction productivity in 20th-century America.
Homes built per construction worker remained stagnant between 1900 and 1940, boomed after
World War II, and then plummeted after 1970. The productivity boom from 1940 to 1970
shows... View Details
- 2025
- Working Paper
Generative AI and the Nature of Work
By: Manuel Hoffmann, Sam Boysel, Frank Nagle, Sida Peng and Kevin Xu
Recent advances in artificial intelligence (AI) technology demonstrate a considerable potential
to complement human capital intensive activities. While an emerging literature documents wide-ranging
productivity effects of AI, relatively little attention has been paid... View Details
- 2024
- Working Paper
Determinants of Top-Down Sabotage
By: Hashim Zaman and Karim R. Lakhani
We investigate the conditions that motivate managers to impede the growth of talented subordinates due to fears of future competition for their own positions. Our research expands on existing tournament and contest theory literature that considers peer-to-peer sabotage... View Details
- June 2024
- Article
Rationalizing Outcomes: Interdependent Learning in Competitive Markets
By: Anoop R. Menon and Dennis Yao
In this article we use simulation models to explore interdependent learning in competitive markets. Such interactions require attention to both the mental representations held by the management of the focal firm as well as the beliefs of that management about the... View Details
- 2024
- Working Paper
Dusting Off the Old Ones: Drug Licensing to Startups, Innovation Success and Efficiency
By: Mosab Hammoudeh, Joshua Lev Krieger and Jiajie Xu
This paper investigates whether moving R&D from incumbents to startups can increase innovation. Using comprehensive drug development data, we examine the outcomes of drug projects licensed from large firms to startups. We find that these projects licensed to startups... View Details
- 2024
- Working Paper
Does the Case for Private Equity Still Hold?
By: Nori Gerardo Lietz and Philipp Chvanov
Private Equity (“PE”) received a 10-fold increase in capital flows since the Great Financial Crisis (“GFC”) Investors sought higher nominal returns relative to those they could obtain in the public capital markets. This paper questions the fundamental assumptions... View Details
- April 2024
- Article
Fee Variation in Private Equity
By: Juliane Begenau and Emil N. Siriwardane
We study how investment fees vary within private-capital funds. Net-of-fee return clustering suggests that most funds have two tiers of fees, and we decompose differences across tiers into both management and performance-based fees. Managers of venture capital funds... View Details
- 2024
- Working Paper
Greenlighting Innovative Projects: How Evaluation Format Shapes the Perceived Feasibility of Novel Ideas
By: Jacqueline N. Lane, Tianxi Cai, Michael Menietti, Griffin Weber and Eva C. Guinan
Evaluation of novel projects is essential for scientific and technological advancement. However,
evaluator bias toward a project’s potential can obscure its limitations. This study investigates
evaluation formats by contrasting combined assessments of novelty and... View Details
- 2024
- Working Paper
The Cram Method for Efficient Simultaneous Learning and Evaluation
By: Zeyang Jia, Kosuke Imai and Michael Lingzhi Li
We introduce the "cram" method, a general and efficient approach to simultaneous learning and evaluation using a generic machine learning (ML) algorithm. In a single pass of batched data, the proposed method repeatedly trains an ML algorithm and tests its empirical... View Details
Keywords: AI and Machine Learning
- January–February 2024
- Article
Shared Service Delivery Can Increase Client Engagement: A Study of Shared Medical Appointments
By: Ryan W. Buell, Kamalini Ramdas, Nazlı Sönmez, Kavitha Srinivasan and Rengaraj Venkatesh
Problem Definition: Clients and service providers alike often consider one-on-one service delivery to be ideal, assuming – perhaps unquestioningly – that devoting individualized attention best improves client outcomes. In contrast, in shared service delivery, clients... View Details
- 2025
- Working Paper
The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling
By: Caleb Kwon, Antonio Moreno and Ananth Raman
Problem Definition: Considerable academic and practitioner attention is placed on the value of ex-post interactions (i.e., overrides) in the human-AI interface. In contrast, relatively little attention has been paid to ex-ante human-AI interactions (e.g., the... View Details
- 2023
- Working Paper
PRIMO: Private Regression in Multiple Outcomes
By: Seth Neel
We introduce a new differentially private regression setting we call Private Regression in Multiple Outcomes (PRIMO), inspired the common situation where a data analyst wants to perform a set of l regressions while preserving privacy, where the covariates... View Details
- April 2023
- Article
The Real Exchange Rate, Innovation and Productivity
By: Laura Alfaro, Alejandro Cuñat, Harald Fadinger and Yanping Liu
We evaluate manufacturing firms' responses to changes in the real exchange rate (RER) using detailed firm-level data for a large set of countries for the period 2001-2010. We uncover the following stylized facts about regional variation of manufacturing firms'... View Details
- 2023
- Article
A Randomized Trial of Behavioral Nudges Delivered through Text Messages to Increase Influenza Vaccination among Patients with an Upcoming Primary Care Visit
By: Mitesh S. Patel, Katherine L. Milkman, Linnea Gandhi, Heather N. Graci, Dena Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Jake Rothschild, Modupe Akinola, John Beshears, Jonathan E. Bogard, Alison Buttenheim, Christopher Chabris, Gretchen B. Chapman, James J. Choi, Hengchen Dai, Craig R. Fox, Amir Goren, Matthew D. Hilchey, Jillian Hmurovic, Leslie John, Dean Karlan, Melanie Kim, David Laibson, Cait Lamberton, Brigitte C. Madrian, Michelle N. Meyer, Maria Modanu, Jimin Nam, Todd Rogers, Renante Rondina, Silvia Saccardo, Maheen Shermohammed, Dilip Soman, Jehan Sparks, Caleb Warren, Megan Weber, Ron Berman, Chalanda N. Evans, Seung Hyeong Lee, Christopher K. Snider, Eli Tsukayama, Christophe Van den Bulte, Kevin G. Volpp and Angela L. Duckworth
Purpose: To evaluate if nudges delivered by text message prior to an upcoming primary care visit can increase influenza vaccination rates.
Design: Randomized, controlled trial.
Setting: Two health systems in the Northeastern US between September 2020 and... View Details
Design: Randomized, controlled trial.
Setting: Two health systems in the Northeastern US between September 2020 and... View Details
- 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
- November 2022
- Article
My Boss' Passion Matters as Much as My Own: The Interpersonal Dynamics of Passion Are a Critical Driver of Performance Evaluations
By: Jon M. Jachimowicz, Andreas Wihler and Adam D. Galinsky
Companies often celebrate employees who successfully pursue their passion. Academic research suggests that these positive evaluations occur because of the passion percolating inside the employee. We propose that supervisors are also a key piece of this puzzle:... View Details
- September 2022
- Background Note
On CUE: The Quest for Optimal Customer Unit Economics
By: Elie Ofek, Barak Libai and Eitan Muller
Startups are often evaluated by how well they perform on unit economics, defined as the ratio of a customer’s lifetime value (LTV) to acquisition costs (CAC). A common target for unit economics, advocated by many VCs and analysts, is 3:1 (i.e., LTV/CAC=3). While there... View Details
- September 2022
- Article
Experimentation and Start-up Performance: Evidence from A/B Testing
By: Rembrand Koning, Sharique Hasan and Aaron Chatterji
Recent scholarship has argued that experimentation should be the organizing principle for entrepreneurial strategy. Experimentation leads to organizational learning, which drives improvements in firm performance. We investigate this proposition by exploiting the... View Details
- July 2022
- Article
Private Equity and COVID-19
By: Paul A. Gompers, Steven N. Kaplan and Vladimir Mukharlyamov
We survey more than 200 private equity (PE) managers from firms with $1.9 trillion of assets under management (AUM) about their portfolio performance, decisionmaking and activities during the Covid-19 pandemic. Given that PE managers have significant incentives to... View Details