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Show Results For
-
All HBS Web
(1,102)
- News (173)
- Research (722)
- Events (5)
- Multimedia (13)
- Faculty Publications (469)
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- 2018
- Working Paper
How Scheduling Can Bias Quality Assessment: Evidence from Food Safety Inspections
By: Maria Ibanez and Michael W. Toffel
Many production processes are subject to inspection to ensure they meet quality, safety, and environmental standards imposed by companies and regulators. Inspection accuracy is critical to inspections being a useful input to assessing risks, allocating quality...
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Keywords:
Assessment;
Bias;
Inspection;
Scheduling;
Econometric Analysis;
Empirical Research;
Regulation;
Health;
Food;
Safety;
Quality;
Performance Consistency;
Performance Evaluation;
Food and Beverage Industry;
Food and Beverage Industry
Ibanez, Maria, and Michael W. Toffel. "How Scheduling Can Bias Quality Assessment: Evidence from Food Safety Inspections." Harvard Business School Working Paper, No. 17-090, April 2017. (Revised October 2018. Formerly titled "Assessing the Quality of Quality Assessment: The Role of Scheduling". Featured in Forbes, Food Safety Magazine, and Food Safety News.)
- 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,...
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- Forthcoming
- 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...
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Cao, Ruiqing, Rembrand Koning, and Ramana Nanda. "Sampling Bias in Entrepreneurial Experiments." Management Science (forthcoming). (Pre-published online December 14, 2023.)
- 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’...
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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
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).
- 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...
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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.
- 2018
- Working Paper
Ideological Bias and Trust in Information Sources
By: Matthew Gentzkow, Michael B. Wong and Allen T Zhang
- 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...
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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.
- 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...
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Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
- 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
- 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...
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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.
- 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,...
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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.
- 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...
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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.
- 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...
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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.
- 2001
- Other Unpublished Work
'Pure Accidents' and the Evolving Bias of American Liability Law
By: David Moss and Michael Fein
- Article
The BIAS Map: Behaviors from Intergroup Affect and Stereotypes.
By: A.J.C. Cuddy, S.T. Fiske and P. Glick
Cuddy, A.J.C., S.T. Fiske, and P. Glick. "The BIAS Map: Behaviors from Intergroup Affect and Stereotypes." Journal of Personality and Social Psychology 92, no. 1 (January 2007): 631–648.