Publications
Publications
Show Results For
- All HBS Web
(2,053)
- Faculty Publications (362)
- 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 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
- 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
- 2023
- Book
Your True Moral Compass: Defining Reality, Responsibility, and Practicality in Your Leadership Moments
This book presents a new, powerful, and practical way of making final decisions on the hard, complex, uncertain problems of life and work. What if you have looked at the data, talked with trusted colleagues, and applied all the relevant managerial and ethical... View Details
- September 2023 (Revised January 2024)
- Case
AI21 Labs in 2023: Strategy for Generative AI
By: David Yoffie, Orna Dan and Elena Corsi
Israeli generative artificial intelligence company AI21 Labs was founded in 2017 to realize the vision of true machine intelligence. It sought to reinvent writing and reading and in 2020 it launched Wordtune, an app using GenAI software to offer alternate text... View Details
- September 2023
- Article
Stock Price Reactions to ESG News: The Role of ESG Ratings and Disagreement
By: George Serafeim and Aaron Yoon
We investigate whether ESG ratings predict future ESG news and the associated market reactions. We find that the consensus rating predicts future news, but its predictive ability diminishes for firms with large disagreement between raters. Relation between news and... View Details
Keywords: ESG; ESG (Environmental, Social, Governance) Performance; ESG Disclosure; ESG Ratings; ESG Reporting; ESG Disclosure Metrics; Sustainability; Investments; Disagreement; Rating Disagreement; Ratings; Environmental Sustainability; Social Issues; Corporate Social Responsibility and Impact; Performance; News; Investment; Financial Markets; Stocks; Price
- 2023
- Working Paper
Channeled Attention and Stable Errors
By: Tristan Gagnon-Bartsch, Matthew Rabin and Joshua Schwartzstein
We develop a framework for assessing when somebody will eventually notice that she has
a misspecified model of the world, premised on the idea that she neglects information that
she deems—through the lens of her misconceptions—to be irrelevant. In doing so, we... View Details
- 2023
- Working Paper
Do Third-Party Guarantors Reassure Foot Soldiers?
By: Natalia Garbiras-Díaz, Michael Weintraub, Leopoldo Fergusson, Juana Catalina Garcia Duque and Laia Balcells
Since the end of the Cold War, international third parties such as the United Nations (UN) have become frequent guarantors of peace agreements. Existing studies document that third parties provide assurances that help maintain peace, yet these studies nearly... View Details
- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
- 2023
- Chapter
Private Equity Financing
The goal of this chapter is to understand the common practices of PE funds’ structure and funding. The chapter covers three topics. First, it gives an overview of the traditional private equity (PE) financing structure; then, it discusses other investment vehicles like... View Details
- June 2023
- Article
Gaining Organizational Adoption: Strategically Pacing the Deployment of Digital Innovations
By: Rebecca Karp
Scholars have long suggested that to foster adoption for their innovative products and services, entrepreneurs should engage with customers to better understand their unmet needs. Yet, customers frequently reside in organizations, and organizational members may not be... View Details
- June 2023
- Article
When Does Uncertainty Matter? Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making
By: Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage and Himabindu Lakkaraju
As machine learning (ML) models are increasingly being employed to assist human decision
makers, it becomes critical to provide these decision makers with relevant inputs which can
help them decide if and how to incorporate model predictions into their decision... View Details
- May 2023 (Revised June 2023)
- Case
Novartis (A): Reimagining Medicine
By: Ramon Casadesus-Masanell, Claudio Feser, Karolin Frankenberger and David Redaschi
This case unfolds around the first-ever approved personalized cancer treatment, how Novartis wrapped it into a new business model design, and how Novartis scaled it. Novartis — one of the largest pharmaceutical companies in the world — is, among other ventures,... View Details