Publications
Publications
Show Results For
- All HBS Web
(2,625)
- Faculty Publications (443)
- 2024
- Article
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules
By: Michael Lingzhi Li and Kosuke Imai
A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical repeated sampling framework serves as a basis of routine experimental analyses conducted by today’s scientists across... View Details
- June 2024
- Teaching Note
Dirk Nowitzki: Changing the Game
By: Boris Groysberg, Katherine Connolly Baden and Robin Abrahams
Teaching Note for HBS Case No. 420-031. NBA Superstar Dirk Nowitzki was unsure whether the 2018-19 season would be his last as an NBA player. He had not faced such uncertainty since 1998, when he had navigated a difficult decision regarding the timing of his move to... View Details
- June, 2024
- Book Review
Debunking Immigration Myths: A Review Essay of 'Streets of Gold: America’s Untold Story of Immigrant Success' (PublicAffairs, 2022) by Ran Abramitzky and Leah Boustan
By: Marco Tabellini
This essay reviews Streets of Gold: America’s Untold Story of Immigrant Success by Ran Abramitzky and Leah Boustan. This elegantly written book, highly accessible to both economists and non-economists, is a must-read for anyone interested in the topic of... View Details
- May 2024
- Background Note
Net Revenue Retention: Unpacking the Dynamics of Customer Monetization
By: Elie Ofek, Barak Libai and Eitan Muller
Firms and investors alike are beginning to recognize the importance of tracking how revenues from existing customers are evolving over time and to appreciate the value in understanding what might explain changes in these revenues. Consequently, in addition to looking... View Details
- May 20, 2024
- Article
Porter’s Five Forces and Competitive Advantage in Web3
By: Scott Duke Kominers and Liang Wu
Competitive strategy — the art of crafting and executing plans to achieve an advantageous position in the market — is integral to any business, and especially relevant for platforms because it determines their ability to achieve network effects and scale. But web3... View Details
- May 2024
- Case
LinkedIn Corporation, 2024
By: David B. Yoffie, George Gonzalez and Emily Grandjean
By 2024, the LinkedIn profile was well established as the professional identity of record on the Internet. Following a multi-year effort to expand the platform’s user base, as well as a period of rapid growth during the COVID-19 pandemic, LinkedIn’s membership had... View Details
- 2024
- Book
Deals: The Economic Structure of Business Transactions
By: Guhan Subramanian and Michael Klausner
Drawing on real-life cases from a wide range of industries, two acclaimed experts offer a sophisticated but accessible guide to business deals, designed to maximize value for your side.
Business transactions take widely varying forms—from multibillion-dollar... View Details
Business transactions take widely varying forms—from multibillion-dollar... View Details
- March 2024
- Article
Establishing the Foundation for Carbon Trading Markets
By: Robert S. Kaplan, Karthik Ramanna and Marc Roston
Poor measurement practices and inadequate controls have led to extensive trading of carbon offset instruments that do not materially reduce the supply of atmospheric GHG. We introduce five carbon offset accounting principles, built from fundamental financial-accounting... View Details
- March 2024
- Article
When Are Social Protests Effective?
By: Eric Shuman, Amit Goldenberg, Tamar Saguy, Eran Halperin and Martijn van Zomeren
Around the world, people engage in social protests aimed at addressing major societal problems. Certain protests have led to significant progress, yet other protests have resulted in little demonstrable change. We introduce a framework for evaluating the effectiveness... View Details
- February 2024
- Article
Representation and Extrapolation: Evidence from Clinical Trials
By: Marcella Alsan, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein and Heidi L. Williams
This article examines the consequences and causes of low enrollment of Black patients in clinical
trials. We develop a simple model of similarity-based extrapolation that predicts that evidence is
more relevant for decision-making by physicians and patients when it... View Details
- 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
- January 2024
- Article
Subset Scanning for Multi-Trait Analysis Using GWAS Summary Statistics
By: Rui Cao, Evan Olawsky, Edward McFowland III, Erin Marcotte, Logan Spector and Tianzhong Yang
Multi-trait analysis has been shown to have greater statistical power than single-trait analysis. Most of the existing multi-trait analysis methods only work with a limited number of traits and usually prioritize high statistical power over identifying relevant traits,... View Details
- 2025
- Working Paper
Money, Time, and Grant Design
By: Kyle Myers and Wei Yang Tham
We conduct survey experiments to test how the design of scientific grants—
the money and time awarded—can be used to manage researchers. On average,
researchers are relatively unwilling to trade off money for time when choosing
among grants. However, there is... View Details
- 2023
- Article
Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset
By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li
Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details
- 2023
- Working Paper
Complexity and Hyperbolic Discounting
By: Benjamin Enke, Thomas Graeber and Ryan Oprea
A large literature shows that people discount financial rewards hyperbolically instead of exponentially. While discounting of money has been questioned as a measure of time preferences, it continues to be highly relevant in empirical practice and predicts a wide range... View Details
- November 2023
- Article
Psychological Factors Underlying Attitudes toward AI Tools
By: Julian De Freitas, Stuti Agarwal, B. Schmitt and N. Haslam
What are the psychological factors driving attitudes toward AI tools, and how can resistance to AI systems be overcome when they are beneficial? In this perspective, we first organize the main sources of resistance into five main categories: opacity, emotionlessness,... View Details
- November–December 2023
- Article
Storytelling That Drives Bold Change
By: Frances X. Frei and Anne Morriss
When tackling urgent organizational problems, leaders usually work hard to identify underlying causes, tap a wide range of knowledge, and experiment with solutions. But once they’ve mapped out a plan, there’s one more crucial step they must take: crafting a story so... View Details
- October 2023
- Technical Note
Governance for the Family Enterprise
By: Christina R. Wing and Vicki Morton
Governance stands as the backbone of any successful organization, providing the structure, transparency, and accountability necessary to guide decisions, ensure efficiency and foster sustainable growth. Its significance takes on a heightened dimension within family... View Details
- October 2023
- Article
Health System Perspective on Cost for Delivering a Decision Aid for Prostate Cancer Using Time-Driven Activity-Based Costing
By: David R. Ho, Robert S. Kaplan, Jonathan Bergman, David F. Penson, Benjamin Waterman, Kristin C. Williams, Jefersson Villatoro, Lorna Kwan and Christopher S. Saigal
Previsit decision aids (DAs) have been shown to improve decisional quality. But the cost to deploy a DA has not been previously estimated. We interviewed or observed relevant personnel at three institutions that had implemented DA programs for men with prostate cancer.... View Details
- 2023
- Working Paper
In-Context Unlearning: Language Models as Few Shot Unlearners
By: Martin Pawelczyk, Seth Neel and Himabindu Lakkaraju
Machine unlearning, the study of efficiently removing the impact of specific training points on the
trained model, has garnered increased attention of late, driven by the need to comply with privacy
regulations like the Right to be Forgotten. Although unlearning is... View Details