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(2,550)
- Faculty Publications (472)
- 2024
- Working Paper
Modest Victims: Victims Who Decline to Broadcast Their Victimization Are Seen As Morally Virtuous
By: Nathan Dhaliwal, Jillian J. Jordan and Pat Barclay
What do people think of victims who conceal their victimhood? We propose that the decision to not broadcast that one has been victimized serves as a costly act of modesty—in doing so, one is potentially forgoing social support and compensation from one’s community. We... View Details
Dhaliwal, Nathan, Jillian J. Jordan, and Pat Barclay. "Modest Victims: Victims Who Decline to Broadcast Their Victimization Are Seen As Morally Virtuous." Working Paper, August 2024.
- 2024
- Chapter
Corporations as the Central Institutions of Society
Mark Twain observed that, “Prediction is very difficult—particularly when it involves the future,” and he was right. One way to reduce the risk of becoming an infamous forecaster—like the experts who told us the Internet would quickly collapse, that Apple would never... View Details
Badaracco, Joseph L. "Corporations as the Central Institutions of Society." Chap. 4 in Justifying Next Stage Capitalism: Exploring a Hopeful Future, edited by Michel Dion and Moses Pava, 87–106. Springer, 2024.
- July–August 2024
- Article
Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals
By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response,
which requires identifying differences in customer sensitivity, typically through the conditional average treatment
effect (CATE) estimation. In theory, to... View Details
Keywords: Long-run Targeting; Heterogeneous Treatment Effect; Statistical Surrogacy; Customer Churn; Field Experiments; Consumer Behavior; Customer Focus and Relationships; AI and Machine Learning; Marketing Strategy
Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Marketing Science 43, no. 4 (July–August 2024): 863–884.
- 2024
- Working Paper
Navigating Software Vulnerabilities: Eighteen Years of Evidence from Medium and Large U.S. Organizations
By: Raviv Murciano-Goroff, Ran Zhuo and Shane Greenstein
How prevalent are severe software vulnerabilities, how fast do software users respond to the availability of secure versions, and what determines the variance in the installation distribution? Using the largest dataset ever assembled on user updates, tracking server... View Details
Murciano-Goroff, Raviv, Ran Zhuo, and Shane Greenstein. "Navigating Software Vulnerabilities: Eighteen Years of Evidence from Medium and Large U.S. Organizations." NBER Working Paper Series, No. 32696, July 2024.
- July 2024
- Article
The Passive-Ownership Share Is Double What You Think It Is
By: Alex Chinco and Marco Sammon
Each time a stock gets added to or dropped from a benchmark index, we ask: “How much money would have to be tracking that index to explain the huge spike in rebalancing volume we observe on reconstitution day?” While index funds held 16% of the US stock market in 2021,... View Details
Keywords: Indexing; Passive Investing; Exchange-traded Funds (ETFs); Russell Reconstitution Day; Trading Volume; Information-based Asset Pricing; Investment Funds; Asset Pricing
Chinco, Alex, and Marco Sammon. "The Passive-Ownership Share Is Double What You Think It Is." Journal of Financial Economics 157 (July 2024).
- 2024
- Working Paper
Webmunk: A New Tool for Studying Online Behavior and Digital Platforms
By: Chiara Farronato, Andrey Fradkin and Chris Karr
Understanding the behavior of users online is important for researchers, policymakers, and private companies alike. But observing online behavior and conducting experiments is difficult without direct access to the user base and software of technology companies. We... View Details
Farronato, Chiara, Andrey Fradkin, and Chris Karr. "Webmunk: A New Tool for Studying Online Behavior and Digital Platforms." NBER Working Paper Series, No. 32694, July 2024.
- 2024
- Working Paper
Advancing Personalization: How to Experiment, Learn & Optimize
By: Aurelie Lemmens, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela and Oded Netzer
Personalization has become the heartbeat of modern marketing. Advances in causal inference and machine learning enable companies to understand how the same marketing action can impact the choices of individual customers differently. This article provides an academic... View Details
Keywords: Personalization; Targeting; Experiments; Observational Studies; Policy Implementation; Policy Evaluation; Customization and Personalization; Marketing Strategy; AI and Machine Learning
Lemmens, Aurelie, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela, and Oded Netzer. "Advancing Personalization: How to Experiment, Learn & Optimize." Working Paper, July 2024. (Revised March 2025.)
- 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
Keywords: Mental Models; Strategic Interactions; Rationalization; Explanation-based View; Competition
Menon, Anoop R., and Dennis Yao. "Rationalizing Outcomes: Interdependent Learning in Competitive Markets." Strategy Science 9, no. 2 (June 2024): 97–117.
- June 2024
- Article
Redistributive Allocation Mechanisms
By: Mohammad Akbarpour, Piotr Dworczak and Scott Duke Kominers
Many scarce public resources are allocated at below-market-clearing prices, and sometimes for free. Such "non-market" mechanisms sacrifice some surplus, yet they can potentially improve equity. We develop a model of mechanism design with redistributive concerns. Agents... View Details
Akbarpour, Mohammad, Piotr Dworczak, and Scott Duke Kominers. "Redistributive Allocation Mechanisms." Journal of Political Economy 132, no. 6 (June 2024): 1831–1875. (Authors' names are in certified random order.)
- June 2024
- Article
The Diversity Heuristic: How Team Demographic Composition Influences Judgments of Team Creativity
By: Devon Proudfoot, Zachariah Berry, Edward H. Chang and Min B. Kay
Despite mixed evidence for the relationship between demographic diversity and creativity, we propose that observers hold a lay belief that demographic diversity increases creativity and apply this lay belief in judgments about teams and their creative work. Across... View Details
Proudfoot, Devon, Zachariah Berry, Edward H. Chang, and Min B. Kay. "The Diversity Heuristic: How Team Demographic Composition Influences Judgments of Team Creativity." Management Science 70, no. 6 (June 2024): 3879–3901.
- 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
De Freitas, Julian, and Alon Hafri. "Moral Thin-Slicing: Forming Moral Impressions from a Brief Glance." Art. 104588. Journal of Experimental Social Psychology 112 (May 2024).
- 2024
- Working Paper
What Is Newsworthy? Theory and Evidence
By: Luis Armona, Matthew Gentzkow, Emir Kamenica and Jesse M. Shapiro
We study newsworthiness in theory and practice. We focus on situations in which a news outlet observes the realization of a state of the world and must decide whether to report the realization to a consumer who pays an opportunity cost to consume the report. The... View Details
Armona, Luis, Matthew Gentzkow, Emir Kamenica, and Jesse M. Shapiro. "What Is Newsworthy? Theory and Evidence." NBER Working Paper Series, No. 32512, May 2024.
- March 2024
- Teaching Note
CoPilot(s): Generative AI at Microsoft and GitHub
By: Frank Nagle and Maria P. Roche
This teaching note is the companion to case N9-624-010 CoPilot(s): Generative AI at Microsoft and GitHub, which takes place in late 2021. The case briefly describes the history of both GitHub and Microsoft with a particular focus on open source software (OSS)—software... View Details
- March 2024
- Module Note
Module Note on the Structuring of Collaborative Work
By: Ethan Bernstein
This module note for instructors describes the organizational structure module of the Managing Human Capital course that integrates insights from research on workplace connectivity (who gets to communicate with whom) and workplace transparency (who gets to observe... View Details
Keywords: Human Resources; Management; Organizational Design; Organizational Structure; Human Capital
Bernstein, Ethan. "Module Note on the Structuring of Collaborative Work." Harvard Business School Module Note 424-054, March 2024.
- March 2024 (Revised June 2024)
- Case
Governing OpenAI (A)
By: Lynn S. Paine, Suraj Srinivasan and Will Hurwitz
In late November 2023, OpenAI’s new board of directors took stock of the situation. The company, which sought to develop artificial general intelligence (AGI)—computer systems with capabilities exceeding human abilities—was looking to regain its footing after a chaotic... View Details
Keywords: Artificial Intelligence; Board Of Directors; Board Decisions; Board Dynamics; Corporate Boards; Governance Changes; Governance Structure; Leadership Change; Legal Aspects Of Business; Nonprofit Governance; Strategy And Execution; Technological Change; AI and Machine Learning; Corporate Governance; Leadership; Management; Mission and Purpose; Technological Innovation; Governing Rules, Regulations, and Reforms; Governing and Advisory Boards; Resignation and Termination; Ethics; Nonprofit Organizations; Open Source Distribution; Partners and Partnerships; Technology Industry; San Francisco; United States
Paine, Lynn S., Suraj Srinivasan, and Will Hurwitz. "Governing OpenAI (A)." Harvard Business School Case 324-103, March 2024. (Revised June 2024.)
- 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
Keywords: Vaccine; Fairness; Public Finance; Public Goods; Allocation Problems; Allocative Efficiency; Allocation Rules; Social Welfare; Pandemics; Inequality; COVID-19; COVID-19 Pandemic; Public Sector; Resource Allocation; Market Design; Marketplace Matching; Public Administration Industry
Akbarpour, Mohammad, Eric Budish, Piotr Dworczak, and Scott Duke Kominers. "An Economic Framework for Vaccine Prioritization." Quarterly Journal of Economics 139, no. 1 (February 2024): 359–417. (Authors' names are in certified random order.)
- February 2024
- Article
Conveying and Detecting Listening in Live Conversation
By: Hanne Collins, Julia A. Minson, Ariella S. Kristal and Alison Wood Brooks
Across all domains of human social life, positive perceptions of conversational listening (i.e., feeling heard) predict well-being, professional success, and interpersonal flourishing. But a fundamental question remains: Are perceptions of listening accurate? Prior... View Details
Collins, Hanne, Julia A. Minson, Ariella S. Kristal, and Alison Wood Brooks. "Conveying and Detecting Listening in Live Conversation." Journal of Experimental Psychology: General 153, no. 2 (February 2024): 473–494.
- 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
Keywords: Representation; Racial Disparity; Health Testing and Trials; Race; Equality and Inequality; Innovation and Invention; Pharmaceutical Industry
Alsan, Marcella, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein, and Heidi L. Williams. "Representation and Extrapolation: Evidence from Clinical Trials." Quarterly Journal of Economics 139, no. 1 (February 2024): 575–635.
- 2024
- Working Paper
Employer-Based Short-Term Savings Accounts
By: Sarah Holmes Berk, John Beshears, Jay Garg, James J. Choi and David Laibson
We study the introduction of a choice architecture design intended to increase short-term savings among employees at five U.K. firms. Employees were offered the opportunity to opt into a payroll deduction program that auto-deposits funds from each paycheck into a... View Details
Berk, Sarah Holmes, John Beshears, Jay Garg, James J. Choi, and David Laibson. "Employer-Based Short-Term Savings Accounts." NBER Working Paper Series, No. 32074, January 2024.
- 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
Han, Kevin Wu, Guillaume Basse, and Iavor Bojinov. "Population Interference in Panel Experiments." Journal of Econometrics 238, no. 1 (January 2024).