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Publications
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- Faculty Publications (335)
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- 2024
- Working Paper
How Real Is Hypothetical?: A High-Stakes Test of the Allais Paradox
By: Uri Gneezy, Yoram Halevy, Brian Hall, Theo Offerman and Jeroen van de Ven
Researchers in behavioral and experimental economics often argue that only
incentive-compatible mechanisms can elicit effort and truthful responses from participants.
Others argue that participants make less-biased decisions when the stakes
are sufficiently high.... View Details
- August 20, 2024
- Article
Sexual Assault Victims Face a Penalty for Adjacent Consent
By: Jillian J. Jordan and Roseanna Sommers
Across 11 experimental studies (n = 12,257), we show that female victims of sexual assault are blamed more and seen as less morally virtuous if their assault follows voluntary sexual intimacy, a factor we term “adjacent consent”. Moreover, we illuminate a... View Details
- July 2024
- Article
Acceptance of Automated Vehicles Is Lower for Self than Others
By: Stuti Agarwal, Julian De Freitas, Anya Ragnhildstveit and Carey K. Morewedge
Road traffic accidents are the leading cause of death worldwide for people aged 2–59. Nearly all deaths are due to human error. Automated vehicles could reduce mortality risks, traffic congestion, and air pollution of human-driven vehicles. However, their adoption... View Details
- June 2024
- Article
Inflation with COVID Consumption Baskets
By: Alberto Cavallo
The Covid-19 pandemic led to changes in expenditure patterns that introduced significant bias in the measurement of Consumer Price Index (CPI) inflation. Using publicly-available data on card transactions, I updated the official CPI weights and re-calculated inflation... View Details
- May 2024
- Teaching Note
Making Progress at Progress Software (A) and (B)
By: Katherine Baldiga Coffman, Hannah Riley Bowles, Emma Ronzetti and Alexis Lefort
Teaching Note for HBS Case Nos. 924-010 and 924-011. View Details
- May–June 2024
- Article
Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs
By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
- 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
- April 3, 2024
- Article
How Automakers Can Address Resistance to Self-Driving Cars
By: Stuti Agarwal, Julian De Freitas and Carey K. Morewedge
Research involving multiple experiments found that consumers have biased views of their driving abilities relative to those of other drivers and automated vehicles. These findings have implications for the adoption of partly or fully automated vehicles, which one day... View Details
- April 2024
- Article
Model-based Financial Regulations Impair the Transition to Net-zero Carbon Emissions
By: Matteo Gasparini, Matthew C. Ives, Ben Carr, Sophie Fry and Eric Beinhocker
Investments via the financial system are essential for fostering the green transition. However, the role of existing financial regulations in influencing investment decisions is understudied. Here we analyse data from the European Banking Authority to show that... 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
- March 2024
- Case
Unintended Consequences of Algorithmic Personalization
By: Eva Ascarza and Ayelet Israeli
“Unintended Consequences of Algorithmic Personalization” (HBS No. 524-052) investigates algorithmic bias in marketing through four case studies featuring Apple, Uber, Facebook, and Amazon. Each study presents scenarios where these companies faced public criticism for... View Details
- 2025
- Working Paper
Choosing and Using Information in Evaluation Decisions
By: Katherine Baldiga Coffman, Scott Kostyshak and Perihan O. Saygin
We use a controlled experiment to study how information acquisition impacts candidate evaluations. We provide evaluators with group-level information on performance and the opportunity to acquire additional, individual-level performance information before making a... View Details
- February 2024
- Module Note
Data-Driven Marketing in Retail Markets
By: Ayelet Israeli
This note describes an eight-class sessions module on data-driven marketing in retail markets. The module aims to familiarize students with core concepts of data-driven marketing in retail, including exploring the opportunities and challenges, adopting best practices,... View Details
Keywords: Data; Data Analytics; Retail; Retail Analytics; Data Science; Business Analytics; ＂Marketing Analytics＂; Omnichannel; Omnichannel Retailing; Omnichannel Retail; DTC; Direct To Consumer Marketing; Ethical Decision Making; Algorithmic Bias; Privacy; A/B Testing; Descriptive Analytics; Prescriptive Analytics; Predictive Analytics; Analytics and Data Science; E-commerce; Marketing Channels; Demand and Consumers; Marketing Strategy; Retail Industry
- 2024
- Working Paper
Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift
By: Matthew DosSantos DiSorbo and Kris Ferreira
Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). These outliers often originate from covariate shift,... View Details
- January 2024
- Case
Deion Sanders: The Prime Effect
By: Hise O. Gibson, Nicole Gilmore and Alicia Dadlani
In 2023, Deion Sanders, known as “Coach Prime,” became head football coach of the University of Colorado Boulder (CU). Sanders was tasked with leading CU’s struggling football program, which had only achieved one winning season in the last 15 years, back to glory. Many... View Details
- January 2024 (Revised May 2024)
- Case
Uncle Nearest: Creating a Legacy
By: Hise Gibson, Archie L. Jones, Nicole Gilmore and Ai-Ling Jamila Malone
Fawn Weaver, as a Black woman and industry outsider in a capital-intensive, highly regulated, competitive and male-dominated spirits industry, successfully overcame numerous obstacles to launch a premium American whiskey brand, Uncle Nearest in 2017, which became the... View Details
Keywords: Advertising; Business Startups; Customer Focus and Relationships; Decisions; Forecasting and Prediction; Age; Ethnicity; Gender; Entrepreneurship; Working Capital; Innovation Leadership; Innovation Strategy; Intellectual Property; Trademarks; Leadership Style; Growth and Development; Growth and Development Strategy; Product Marketing; Product Launch; Marketing Strategy; Mission and Purpose; Organizational Culture; Private Ownership; Performance Effectiveness; Strategic Planning; Problems and Challenges; Prejudice and Bias; Social Issues; Competition; Competitive Strategy; Expansion; Entrepreneurial Finance; Food and Beverage Industry; Tourism Industry; United States; Tennessee; France
- 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
- December 4, 2023
- Article
Stop Assuming Introverts Aren't Passionate About Work
By: Kai Krautter, Anabel Büchner and Jon M. Jachimowicz
Society often assumes that the only way to be passionate is to act extroverted, but that is simply not true. In their new research, the authors found that regardless of their actual level of passion, extroverted employees are perceived as more passionate than... View Details
- December 2023
- Article
Brokerage Relationships and Analyst Forecasts: Evidence from the Protocol for Broker Recruiting
By: Braiden Coleman, Michael Drake, Joseph Pacelli and Brady Twedt
In this study, we offer novel evidence on how the nature of brokerage-client relationships can influence the quality of equity research. We exploit a unique setting provided by the Protocol for Broker Recruiting to examine whether relaxed broker non-compete agreement... View Details
Keywords: Brokers; Analysts; Forecasts; Bias; Protocol; Investment; Research; Forecasting and Prediction
- 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