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Show Results For
- All HBS Web
(1,130)
- News (183)
- Research (755)
- Events (8)
- Multimedia (14)
- Faculty Publications (497)
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- Research Summary
Analyst Disagreement, Forecast Bias and Stock Returns
We present evidence of inefficient information processing in
equity markets by documenting that biases in analysts' earnings
forecasts are reflected in stock prices. In particular, investors
fail to account for analysts' tendency to withhold negative views
and to issue... View Details
- Article
Optimality Bias in Moral Judgment
By: Julian De Freitas and Samuel G.B. Johnson
We often make decisions with incomplete knowledge of their consequences. Might people nonetheless expect others to make optimal choices, despite this ignorance? Here, we show that people are sensitive to moral optimality: that people hold moral agents accountable... View Details
Keywords: Moral Judgment; Lay Decision Theory; Theory Of Mind; Causal Attribution; Moral Sensibility; Decision Making
De Freitas, Julian, and Samuel G.B. Johnson. "Optimality Bias in Moral Judgment." Journal of Experimental Social Psychology 79 (November 2018): 149–163.
- Article
Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)
By: Eva Ascarza and Ayelet Israeli
An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details
Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods
Ascarza, Eva, and Ayelet Israeli. "Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)." e2115126119. Proceedings of the National Academy of Sciences 119, no. 11 (March 8, 2022).
- October 2024
- Article
Sampling Bias in Entrepreneurial Experiments
By: Ruiqing Cao, Rembrand Koning and Ramana Nanda
Using data from a prominent online platform for launching new digital products, we document that ‘sampling bias’—defined as the difference between a startup’s target customer base and the actual sample on which early ‘beta tests’ are conducted—has a systematic and... View Details
Cao, Ruiqing, Rembrand Koning, and Ramana Nanda. "Sampling Bias in Entrepreneurial Experiments." Management Science 70, no. 10 (October 2024): 7283–7307.
- January–February 2019
- Article
Who Loses When a Team Wins? Better Performance Increases Racial Bias
By: Letian Zhang
Although it is well known that organizational and team performance influences strategic decision-making, little is known about its impact on ascriptive inequality. This study proposes a performance effect on racial bias: higher team performance reduces managers’... View Details
Keywords: Discrimination; Race And Ethnicity; Performance Feedback; NBA; Prejudice and Bias; Race; Ethnicity; Performance; Sports
Zhang, Letian. "Who Loses When a Team Wins? Better Performance Increases Racial Bias." Organization Science 30, no. 1 (January–February 2019): 40–50.
- Article
Deep Down My Enemy Is Good: Thinking about the True Self Reduces Intergroup Bias
By: Julian De Freitas and Mina Cikara
Intergroup bias—preference for one's in-group relative to out-groups—is one of the most robust phenomena in all of psychology. Here we investigate whether a positive bias that operates at the individual-level, belief in a good true self, may be leveraged to reduce... View Details
De Freitas, Julian, and Mina Cikara. "Deep Down My Enemy Is Good: Thinking about the True Self Reduces Intergroup Bias." Journal of Experimental Social Psychology 74 (January 2018): 307–316.
- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
- 13 Dec 2022
- Research & Ideas
The Color of Private Equity: Quantifying the Bias Black Investors Face
Black venture capital and growth investors have a much harder time getting funding than white investors, because—despite efforts to bring more racial diversity to financial services—private equity’s gatekeepers remain mostly white,... View Details
- January 1982
- Article
A Negativity Bias in Interpersonal Evaluation
By: T. M. Amabile and A. H. Glazebrook
Two studies were conducted to demonstrate a bias toward negativity in evaluations of persons or their work in particular social circumstances. In Study 1, subjects evaluated materials written by peers. Those working under conditions that placed them in low status... View Details
Keywords: Social Psychology; Status and Position; Prejudice and Bias; Performance Evaluation; Situation or Environment; Perception; Attitudes
Amabile, T. M., and A. H. Glazebrook. "A Negativity Bias in Interpersonal Evaluation." Journal of Experimental Social Psychology 18 (January 1982): 1–22.
- 2018
- Working Paper
Ideological Bias and Trust in Information Sources
By: Matthew Gentzkow, Michael B. Wong and Allen T Zhang
- 21 Jul 2020
- Cold Call Podcast
Starbucks Commits to Raising Awareness of Racial Bias
- 05 Jul 2006
- Working Paper Summaries
Analyst Disagreement, Forecast Bias and Stock Returns
- July–September 2018
- Article
Memory Bias in Observer-Performance Literature
By: Tamara M. Haygood, Samantha N. Smith and Jia Sun
The objective of our study was to determine how authors of published observer–performance experiments dealt with memory bias in study design. We searched American Journal of Roentgenology online and Radiology using “observer study” and “observer performance.” We... View Details
Haygood, Tamara M., Samantha N. Smith, and Jia Sun. "Memory Bias in Observer-Performance Literature." Art. 031412. Journal of Medical Imaging 5, no. 3 (July–September 2018).
- February 2021
- Case
The Tulsa Massacre and the Call for Reparations
By: Mihir Desai, Ruth Page, Suzanne Antoniou and Leanne Fan
How should historic social injustices be addressed? Survivors of the 1921 Tulsa Massacre and their descendants, including Representative Regina Goodwin of Tulsa, believe they should be addressed through reparations and have consequently continued to push the government... View Details
Keywords: Costs And Consequences; Decisions; Judgment And Decision-making; Lawsuit; Leading Change; Conflict Resolution; Perspective Taking; Prejudice; Bias; Reparations; Decision Making; Decision Choices and Conditions; Cost vs Benefits; Judgments; Race; Ethics; Fairness; Moral Sensibility; Values and Beliefs; Conflict Management; Governance; Corporate Accountability; Corporate Governance; Governing Rules, Regulations, and Reforms; Policy; Government and Politics; Government Legislation; History; Lawsuits and Litigation; Legal Liability; Mission and Purpose; Corporate Social Responsibility and Impact; Motivation and Incentives; Civil Society or Community; Social Issues; Oklahoma; Tulsa; United States
Desai, Mihir, Ruth Page, Suzanne Antoniou, and Leanne Fan. "The Tulsa Massacre and the Call for Reparations." Harvard Business School Multimedia/Video Case 221-707, February 2021.
- 09 Aug 2022
- Cold Call Podcast
A Lesson from Google: Can AI Bias be Monitored Internally?
Keywords: Re: Tsedal Neeley
- 2008
- Article
Warmth and Competence As Universal Dimensions of Social Perception: The Stereotype Content Model and the BIAS Map
By: A. J.C. Cuddy, S. T. Fiske and P. Glick
The stereotype content model (SCM) defines two fundamental dimensions of social perception, warmth and competence, predicted respectively by perceived competition and status. Combinations of warmth and competence generate distinct emotions of admiration, contempt,... View Details
Keywords: Perception; Competency and Skills; Prejudice and Bias; Emotions; Business Model; Behavior; Research; Competition; Status and Position; Cognition and Thinking; Groups and Teams
Cuddy, A. J.C., S. T. Fiske, and P. Glick. "Warmth and Competence As Universal Dimensions of Social Perception: The Stereotype Content Model and the BIAS Map." Advances in Experimental Social Psychology 40 (2008): 61–149.
- February 2010
- Article
Conflict of Interest and the Intrusion of Bias
By: Don A. Moore, Lloyd Tanlu and Max Bazerman
This paper presents evidence of performance persistence in entrepreneurship. We show that entrepreneurs with a track record of success are much more likely to succeed than first-time entrepreneurs and those who have previously failed. In particular, they exhibit... View Details
Keywords: Conflict of Interests; Prejudice and Bias; Performance; Entrepreneurship; Market Timing; Competency and Skills; Perception; Business Startups; Resource Allocation
Moore, Don A., Lloyd Tanlu, and Max Bazerman. "Conflict of Interest and the Intrusion of Bias." Judgment and Decision Making 5, no. 1 (February 2010): 37–53.
- 25 Jul 2016
- Working Paper Summaries
Bias in Official Fiscal Forecasts: Can Private Forecasts Help?
Keywords: by Jeffrey A. Frankel and Jesse Schreger
- Article
Choice Architects Reveal a Bias Toward Positivity and Certainty
By: David P. Daniels and Julian Zlatev
Biases influence important decisions, but little is known about whether and how individuals try to exploit others’ biases in strategic interactions. Choice architects—that is, people who present choices to others—must often decide between presenting choice sets with... View Details
Keywords: Nudges; Biases; Strategic Decision Making; Social Influence; Choice Architects; Choice Architecture; Reflection Effect; Certainty Effect; Loss Aversion; Decision Making; Risk and Uncertainty; Power and Influence
Daniels, David P., and Julian Zlatev. "Choice Architects Reveal a Bias Toward Positivity and Certainty." Organizational Behavior and Human Decision Processes 151 (March 2019): 132–149.