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- All HBS Web
(2,539)
- Faculty Publications (468)
- 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.)
- 2024
- Working Paper
Choosing and Using Information in Evaluation Decisions
By: Katherine Baldiga Coffman, Scott Kostyshak and Perihan O. Saygin
Most studies of gender discrimination consider how male versus female candidates are assessed given otherwise identical information about them. But, in many settings of interest, evaluators have a choice about how much information to acquire about a candidate before... View Details
- March 2024
- Article
The Asymmetric Mispricing Information in Analysts’ Target Prices
By: Jeremiah Green, John R. M. Hand and Anywhere Sikochi
We study the mispricing information present in the target prices of U.S. and international analysts. We hypothesize that asymmetry in the value-relevance of the information that managers supply to analysts, combined with asymmetry in the incentives facing analysts to... View Details
Keywords: Analysts; Target Prices; Mispricing; Cost Of Equity; Valuation; Price; Cost; Analysis; Theory
Green, Jeremiah, John R. M. Hand, and Anywhere Sikochi. "The Asymmetric Mispricing Information in Analysts’ Target Prices." Review of Accounting Studies 29, no. 1 (March 2024): 889–915.
- 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).
- 2023
- Working Paper
Rapport in Organizations: Evidence from Fast Food
By: Achyuta Adhvaryu, Parker Howell, Anant Nyshadham and Jorge Tamayo
Common identity often provides a foundation for workplace rapport. Though gender is perhaps the most frequently studied dimension of identity among workers, little is known about how gender match between managers and their workers might affect team performance. Using... View Details
Keywords: Management; Relationships; Gender; Labor and Management Relations; Organizational Change and Adaptation; Employees; Food and Beverage Industry; Colombia
Adhvaryu, Achyuta, Parker Howell, Anant Nyshadham, and Jorge Tamayo. "Rapport in Organizations: Evidence from Fast Food." Harvard Business School Working Paper, No. 24-032, November 2023.
- December 2023 (Revised August 2024)
- Case
Monsters in the Machine? Tackling the Challenge of Responsible AI
By: Paul M. Healy and Debora L. Spar
In November of 2022, the small tech company OpenAI released ChatGPT, an artificial intelligence chatbot which quickly captured the public’s imagination—becoming the world’s fastest-growing consumer application within months of its release. Though observers from across... View Details
- 2023
- Working Paper
Accountability of Corporate Emissions Reduction Targets
By: Xiaoyan Jiang, Shawn Kim and Shirley Lu
Firms are increasingly announcing targets to reduce their carbon emissions, but it is unclear whether firms are held accountable for these targets. In this paper, we examine emissions targets that ended in 2020 to investigate the prevalence of missed targets, how firms... View Details
Keywords: Carbon Emissions; Corporate Disclosure; Corporate Accountability; Corporate Social Responsibility and Impact; Climate Change
Jiang, Xiaoyan, Shawn Kim, and Shirley Lu. "Accountability of Corporate Emissions Reduction Targets." SSRN Working Paper Series, No. 4676649, December 2023.
- September 2023
- Article
Customer Churn and Intangible Capital
By: Scott R. Baker, Brian Baugh and Marco Sammon
Intangible capital is a crucial and growing piece of firms’ capital structure, but many of its distinct components are difficult to measure. We develop and make available several new firm-level metrics regarding a key component of intangible capital – firms’ customer... View Details
Keywords: Customer Base; Transaction Data; Customer Churn; Intangible Capital; Capital Structure; Measurement and Metrics; Customers
Baker, Scott R., Brian Baugh, and Marco Sammon. "Customer Churn and Intangible Capital." Journal of Political Economy Macroeconomics 1, no. 3 (September 2023): 447–505.
- 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
Lakkaraju, Himabindu, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, and Haoyi Xiong. "M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- December 2023
- Article
What Can Stockouts Tell Us About Inflation? Evidence from Online Micro Data
By: Alberto Cavallo and Oleksiy Kryvtsov
We use a detailed micro dataset on product availability and stockouts to construct a direct high-frequency measure of consumer product shortages during the 2020-2022 pandemic. We document a widespread multi-fold rise in stockouts in nearly all sectors early in the... View Details
Keywords: Prices; Stockouts; Inventories; Supply Disruptions; COVID-19 Pandemic; Supply Chain; Product; Demand and Consumers
Cavallo, Alberto, and Oleksiy Kryvtsov. "What Can Stockouts Tell Us About Inflation? Evidence from Online Micro Data." Journal of International Economics 146 (December 2023).
- 2023
- Working Paper
Healthcare Provider Bankruptcies
By: Samuel Antill, Jessica Bai, Ashvin Gandhi and Adrienne Sabety
Healthcare firms are increasingly filing for Chapter 11 bankruptcy. Using two strategies, we show causal evidence that bankruptcies harm patients through increased worker turnover. First, in an online experiment, experienced nurses assess hypothetical employers and... View Details
Keywords: Insolvency and Bankruptcy; Health Care and Treatment; Outcome or Result; Retention; Health Industry
Antill, Samuel, Jessica Bai, Ashvin Gandhi, and Adrienne Sabety. "Healthcare Provider Bankruptcies." Working Paper, November 2023.
- November–December 2023
- Article
Look the Part? The Role of Profile Pictures in Online Labor Markets
By: Isamar Troncoso and Lan Luo
Profile pictures are a key component of many freelancing platforms, a design choice that can impact hiring and matching outcomes. In this paper, we examine how appearance-based perceptions of a freelancer’s fit for the job (i.e., whether a freelancer "looks the part"... View Details
Keywords: Freelancers; Gig Workers; Demographics; Prejudice and Bias; Selection and Staffing; Jobs and Positions; Analytics and Data Science
Troncoso, Isamar, and Lan Luo. "Look the Part? The Role of Profile Pictures in Online Labor Markets." Marketing Science 42, no. 6 (November–December 2023): 1080–1100.
- 2023
- Working Paper
The Buy-In Effect: When Increasing Initial Effort Motivates Behavioral Follow-Through
By: Holly Dykstra, Shibeal O'Flaherty and A.V. Whillans
Behavioral interventions often focus on reducing friction to encourage behavior change. In
contrast, we provide evidence that adding friction can promote long-term behavior change when
behaviors involve repeated costly efforts over longer time horizons. In... View Details
Dykstra, Holly, Shibeal O'Flaherty, and A.V. Whillans. "The Buy-In Effect: When Increasing Initial Effort Motivates Behavioral Follow-Through." Harvard Business School Working Paper, No. 24-020, October 2023.