Publications
Publications
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- All HBS Web
(3,287)
- Faculty Publications (811)
- May 2, 2024
- Article
Require Hospitals to Disclose Their Pandemic Plans Now
By: Regina E. Herzlinger, Richard J. Boxer and Ben Creo
The COVID-19 pandemic demonstrated that U.S. hospital and health care systems were ill-prepared for the surge of patients who overwhelmed available health care resources. An overlooked resource deserves more attention: the availability of intensive care unit (ICU)... View Details
- May 2024
- Article
Moral Thin-Slicing: Forming Moral Impressions from a Brief Glance
By: Julian De Freitas and Alon Hafri
Despite the modern rarity with which people are visual witness to moral transgressions involving
physical harm, such transgressions are more accessible than ever thanks to their availability on
social media and in the news. On one hand, the literature suggests that... View Details
Keywords: Moral Judgement; Thin Slices; Social Media; Fake News; Misinformation; Moral Sensibility; News; Behavior
- April 2024
- Article
Detecting Routines: Applications to Ridesharing CRM
By: Ryan Dew, Eva Ascarza, Oded Netzer and Nachum Sicherman
Routines shape many aspects of day-to-day consumption. While prior work has established the importance of habits in consumer behavior, little work has been done to understand the implications of routines—which we define as repeated behaviors with recurring, temporal... View Details
- 2024
- Working Paper
Valuing Stocks With Earnings
By: Sebastian Hillenbrand and Odhrain McCarthy
We show that commonly used aggregate earnings are several times as volatile as stock prices
over the last three decades. Movements in the price-earnings ratio are thus entirely explained by
earnings growth and unrelated to future returns. As an alternative to the... View Details
- March 2024 (Revised June 2024)
- Case
Miami's Climate Tech Potential (A): The State of Play
By: Rosabeth Moss Kanter and Ai-Ling Jamila Malone
Miami-Dade County led the work to get South Florida designated a national climate resilience tech hub, the only one of 31 focused on climate change, an urgent major issue for the region in light of global warming and sea level rise. Venture capitalists saw the... View Details
- 2025
- Working Paper
Greenlighting Innovative Projects: How Evaluation Format Shapes the Perceived Feasibility of Early-Stage Ideas
By: Jacqueline N. Lane, Simon Friis, Tianxi Cai, Michael Menietti, Griffin Weber and Eva C. Guinan
The evaluation of innovative early-stage projects is essential for allocating limited resources. We
investigate how the evaluation format affects the identification of feasibility issues through a
field experiment at a leading research university. Experts were... View Details
- March 2024 (Revised July 2024)
- Case
The CHIPS Program Office
By: Mitchell B. Weiss and Sebastian Negron-Reichard
In February 2023, U.S. Commerce Secretary Gina Raimondo weighed signing off on a Notice of Funding Opportunity (“NOFO”) with at least one unconventional provision: a pre-application (“pre-app”) to the actual application for parts of $39 billion in direct semiconductor... 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
- February 2024 (Revised April 2024)
- Case
Finberg: Corporate Venture Capital in Türkiye
By: Paul A. Gompers and Namrata Arora
In December 2021, Murat Özyeğin, Chairman of Fiba Holding, along with Ömer Mert and İhsan Elgin, engaged in discussions about the future of United Payment, a fintech company in which Finberg, a subsidiary of Fibabanka, held a 20% stake. Finberg, established in 2018 as... View Details
Keywords: Corporate Venture Capital; Technology; Return On Investment; Venture Capital; Investment; Strategy; Technological Innovation; Competition; Valuation; Acquisition; Business Startups; Information Technology Industry; Banking Industry; Middle East; North Africa; Turkey; Ukraine; Romania; Poland
- 2024
- Working Paper
Principles and Content for Downstream Emissions Disclosures
By: Robert S. Kaplan and Karthik Ramanna
In a previous paper, we proposed the E-liability carbon accounting algorithm for companies to measure and subsequently reduce their own and their suppliers’ emissions. Some investors and stakeholders, however, want companies to also be accountable for downstream... View Details
- February 2024
- Article
An Economic Framework for Vaccine Prioritization
By: Mohammad Akbarpour, Eric Budish, Piotr Dworczak and Scott Duke Kominers
We propose an economic framework for determining the optimal allocation of a scarce supply of vaccines that become gradually available during a public health crisis, such as the Covid-19 pandemic. Agents differ in observable and unobservable characteristics, and the... View Details
- January 2024
- Supplement
Winning Business at Russell Reynolds
By: Ethan Bernstein and Cara Mazzucco
In an effort to make compensation drive collaboration, Russell Reynolds Associates’ (RRA) CEO Clarke Murphy sought to re-engineer the bonus system for his executive search consultants in 2016. As his HR analytics guru, Kelly Smith, points out, that risks upsetting—and... View Details
- 2024
- Working Paper
Bootstrap Diagnostics for Irregular Estimators
By: Isaiah Andrews and Jesse M. Shapiro
Empirical researchers frequently rely on normal approximations in order to summarize and communicate uncertainty about their findings to their scientific audience. When such approximations are unreliable, they can lead the audience to make misguided decisions. We... View Details
- January 2024
- Article
Population Interference in Panel Experiments
By: Kevin Wu Han, Guillaume Basse and Iavor Bojinov
The phenomenon of population interference, where a treatment assigned to one experimental unit affects another experimental unit’s outcome, has received considerable attention in standard randomized experiments. The complications produced by population interference in... View Details
- 2024
- Conference Paper
Quantifying Uncertainty in Natural Language Explanations of Large Language Models
By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal
Large Language Models (LLMs) are increasingly used as powerful tools for several
high-stakes natural language processing (NLP) applications. Recent prompting
works claim to elicit intermediate reasoning steps and key tokens that serve as
proxy explanations for LLM... View Details
- December 2023
- Case
Francis Ngannou
By: Anita Elberse
In May 2023, professional fighter Francis Ngannou is facing a choice: re-sign with the Ultimate Fighting Championship (UFC), the world’s premier mixed-martial-arts (MMA) organization, or opt for a contract with the Professional Fighters League (PFL), a growing but... View Details
- 2025
- Working Paper
Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach
By: Ta-Wei Huang and Eva Ascarza
As firms increasingly rely on customer data for personalization, concerns over privacy and regulatory compliance have grown. Local Differential Privacy (LDP) offers strong individual-level protection by injecting noise into data before collection. While... View Details
- 2023
- Article
Balancing Risk and Reward: An Automated Phased Release Strategy
By: Yufan Li, Jialiang Mao and Iavor Bojinov
Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated units gradually grows until full deployment or deprecation. Performing phased releases in a... View Details
- December 2023
- Article
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work
By: Mijeong Kwon, Julia Lee Cunningham and Jon M. Jachimowicz
Intrinsic motivation has received widespread attention as a predictor of positive work outcomes, including employees’ prosocial behavior. In the current research, we offer a more nuanced view by proposing that intrinsic motivation does not uniformly increase prosocial... View Details
- 2023
- Article
M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models
By: Himabindu Lakkaraju, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai and Haoyi Xiong
While Explainable Artificial Intelligence (XAI) techniques have been widely studied to explain predictions made by deep neural networks, the way to evaluate the faithfulness of explanation results remains challenging, due to the heterogeneity of explanations for... View Details
Keywords: AI and Machine Learning