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Publications

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  • All HBS Web  (1,097)
    • News  (182)
    • Research  (762)
    • Events  (8)
    • Multimedia  (14)
  • Faculty Publications  (497)

Show Results For

  • All HBS Web  (1,097)
    • News  (182)
    • Research  (762)
    • Events  (8)
    • Multimedia  (14)
  • Faculty Publications  (497)
← Page 2 of 1,097 Results →
  • 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
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De Freitas, Julian, and Samuel G.B. Johnson. "Optimality Bias in Moral Judgment." Journal of Experimental Social Psychology 79 (November 2018): 149–163.
  • 20 Jan 2021
  • News

Unconscious Bias in Retail and Marketing

  • June 2020
  • Article

How Scheduling Can Bias Quality Assessment: Evidence from Food Safety Inspections

By: Maria Ibanez and Michael W. Toffel
Accuracy and consistency are critical for inspections to be an effective, fair, and useful tool for assessing risks, quality, and suppliers—and for making decisions based on those assessments. We examine how inspector schedules could introduce bias that erodes... View Details
Keywords: Assessment; Bias; Inspection; Scheduling; Econometric Analysis; Empirical Research; Regulation; Health; Food; Safety; Quality; Performance Consistency; Governing Rules, Regulations, and Reforms
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Ibanez, Maria, and Michael W. Toffel. "How Scheduling Can Bias Quality Assessment: Evidence from Food Safety Inspections." Management Science 66, no. 6 (June 2020): 2396–2416. (Revised February 2019. Featured in Harvard Business Review, Forbes, Food Safety Magazine, Food Safety News, and KelloggInsight. (2020 MSOM Responsible Research Finalist.))

    Sampling Bias in Entrepreneurial Experiments

    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
    • 26 Jan 2020
    • News

    How to Overturn Workplace Prejudice about ‘Foreign’ Accents

    • 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
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    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
    Keywords: Target Market; Sampling Biases; Beta Testing; Product Launch; Entrepreneurship; Gender
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    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
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    Zhang, Letian. "Who Loses When a Team Wins? Better Performance Increases Racial Bias." Organization Science 30, no. 1 (January–February 2019): 40–50.
    • 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
    Keywords: by Pamela Reynolds; Financial Services
    • 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
    Keywords: Intergroup Bias; True Self; Essentialism; Lay Theories
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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.
    • 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
    Keywords: AI and Machine Learning; Analytics and Data Science; Prejudice and Bias
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    Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
    • 2018
    • Working Paper

    Ideological Bias and Trust in Information Sources

    By: Matthew Gentzkow, Michael B. Wong and Allen T Zhang
    Citation
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    Gentzkow, Matthew, Michael B. Wong, and Allen T Zhang. "Ideological Bias and Trust in Information Sources." Working Paper, 2018.
    • 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
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    Amabile, T. M., and A. H. Glazebrook. "A Negativity Bias in Interpersonal Evaluation." Journal of Experimental Social Psychology 18 (January 1982): 1–22.
    • 01 Jun 2011
    • News

    Racial Bias Pervades Health Care

    Distinguished Professor of Medical Education and professor of orthopedic surgery at Harvard Medical School and was the first African American department chief at Harvard’s teaching hospitals. In his new... View Details
    Keywords: Sean Silverthorne; Health, Social Assistance
    • 21 Jul 2020
    • Cold Call Podcast

    Starbucks Commits to Raising Awareness of Racial Bias

    Keywords: & Katherine B. Coffman; Food & Beverage; Service
    • 05 Jul 2006
    • Working Paper Summaries

    Analyst Disagreement, Forecast Bias and Stock Returns

    Keywords: by Anna Scherbina; Financial Services
    • 20 Jan 2014
    • News

    Online marketplaces may encourage bias

    • 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
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    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.
    • 18 Feb 2021
    • News

    Jumping In, Fighting Bias

    Photo via LinkedIn Photo via LinkedIn Growing up in suburban Chicago, Sumaiya Balbale (MBA 2009) and her Indian immigrant parents didn’t see many other Muslims. At school she was teased and bullied—an... View Details
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