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Show Results For
- All HBS Web
(593)
- People (1)
- News (90)
- Research (409)
- Events (5)
- Multimedia (1)
- Faculty Publications (212)
- 10 Nov 2015
- First Look
November 10, 2015
of research, the authors have concluded that four biases stand in the way: we focus too heavily on success, are too quick to act, try too hard to fit in, and rely too much on experts. Each of these biases... View Details
Keywords: Sean Silverthorne
- Summer 2021
- Article
Predictable Country-level Bias in the Reporting of COVID-19 Deaths
By: Botir Kobilov, Ethan Rouen and George Serafeim
We examine whether a country’s management of the COVID-19 pandemic relate to the downward biasing of the number of reported deaths from COVID-19. Using deviations from historical averages of the total number of monthly deaths within a country, we find that the... View Details
Keywords: COVID-19; Deaths; Reporting; Incentives; Government Policy; Health Pandemics; Health Care and Treatment; Country; Crisis Management; Outcome or Result; Reports; Policy
Kobilov, Botir, Ethan Rouen, and George Serafeim. "Predictable Country-level Bias in the Reporting of COVID-19 Deaths." Journal of Government and Economics 2 (Summer 2021).
- August 2020 (Revised December 2020)
- Background Note
A Note on Ethical Analysis
By: Nien-hê Hsieh
To engage in ethical analysis is to answer such questions as “What is the right thing to do?” “What does it mean to be a good person?” “How should I live my life?” Ethical analysis, on its own, is often not adequate for doing the right thing or being a good... View Details
Hsieh, Nien-hê. "A Note on Ethical Analysis." Harvard Business School Background Note 321-038, August 2020. (Revised December 2020.)
- May 2016
- Article
When Performance Trumps Gender Bias: Joint Versus Separate Evaluation
By: Iris Bohnet, Alexandra van Geen and Max Bazerman
We examine a new intervention to overcome gender biases in hiring, promotion, and job assignments: an "evaluation nudge," in which people are evaluated jointly rather than separately regarding their future performance. Evaluators are more likely to focus on individual... View Details
Keywords: Prejudice and Bias; Selection and Staffing; Decision Choices and Conditions; Performance; Gender
Bohnet, Iris, Alexandra van Geen, and Max Bazerman. "When Performance Trumps Gender Bias: Joint Versus Separate Evaluation." Management Science 62, no. 5 (May 2016): 1225–1234.
- 13 Sep 2018
- HBS Seminar
Ashley Swanson, Wharton, University of Pennsylvania
- October 2012
- Article
The Effect of Reference Point Prices on Mergers and Acquisitions
By: Malcolm Baker, Xin Pan and Jeffrey Wurgler
Prior stock price peaks of targets affect several aspects of merger and acquisition activity. Offer prices are biased toward recent peak prices although they are economically unremarkable. An offer's probability of acceptance jumps discontinuously when it exceeds a... View Details
Baker, Malcolm, Xin Pan, and Jeffrey Wurgler. "The Effect of Reference Point Prices on Mergers and Acquisitions." Journal of Financial Economics 106, no. 1 (October 2012): 49–71.
- Article
How Much Should We Trust Staggered Difference-In-Differences Estimates?
By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang
We explain when and how staggered difference-in-differences regression estimators, commonly applied to assess the impact of policy changes, are biased. These biases are likely to be relevant for a large portion of research settings in finance, accounting, and law that... View Details
Keywords: Difference In Differences; Staggered Difference-in-differences Designs; Generalized Difference-in-differences; Dynamic Treatment Effects; Mathematical Methods
Baker, Andrew C., David F. Larcker, and Charles C.Y. Wang. "How Much Should We Trust Staggered Difference-In-Differences Estimates?" Journal of Financial Economics 144, no. 2 (May 2022): 370–395. (Editor's Choice, May 2022; Jensen Prize, First Place, June 2023.)
- November 12, 2021
- Editorial
The Psychology Behind Meeting Overload
By: A.V. Whillans, Dave Feldman and Damian Wisniewski
Bad meetings are the bane of the corporate world — and yet despite what appears to be an overwhelming consensus that they’re often unnecessary and unproductive, many workplaces continue to struggle to avoid them. In this piece, the authors discuss the psychological... View Details
Whillans, A.V., Dave Feldman, and Damian Wisniewski. "The Psychology Behind Meeting Overload." Harvard Business Review (website) (November 12, 2021).
- 17 Oct 2016
- News
How to Hire with Algorithms
Mandi Nerenberg
Mandi is a doctoral student in Organizational Behavior at Harvard Business School. She is interested in the impact of how gender and racial dynamics shape workplace evaluations. Her research explores gender biases in interpersonal professional contexts,... View Details
- November 2015
- Article
Why Organizations Don't Learn: Our Traditional Obsessions—Success, Taking Action, Fitting In, and Relying on Experts—Undermine Continuous Improvement
By: F. Gino and B. Staats
For any enterprise to be competitive, continuous learning and improvement are key—but not always easy to achieve. After a decade of research, the authors have concluded that four biases stand in the way: we focus too heavily on success, are too quick to act, try too... View Details
Gino, F., and B. Staats. "Why Organizations Don't Learn: Our Traditional Obsessions—Success, Taking Action, Fitting In, and Relying on Experts—Undermine Continuous Improvement." Harvard Business Review 93, no. 11 (November 2015): 110–118.
- January 2012 (Revised March 2012)
- Case
Dimensional Fund Advisors (DFA)'s Entry into the Retirement Market
By: Lauren Cohen and Christopher Malloy
This case examines Dimensional Fund Advisors (DFA)'s decision to enter the retirement market with their new "Dimensional Managed DC" product, a complete retirement solution that aimed to provide investors with what they really wanted: the same standard of living in... View Details
Cohen, Lauren, and Christopher Malloy. "Dimensional Fund Advisors (DFA)'s Entry into the Retirement Market." Harvard Business School Case 212-068, January 2012. (Revised March 2012.)
- 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.
- Research Summary
Overview
I develop machine learning tools and techniques which enable human decision makers to make better decisions. More specifically, my research addresses the following fundamental questions pertaining to human and algorithmic decision-making:
1. How to build... View Details
1. How to build... View Details
- February 1997
- Background Note
Errors in Social Judgment: Implications for Negotiation and Conflict Resolution, Part 1
For the past quarter-century, the field of social cognition has documented a number of ways in which individuals and groups are prone to make characteristic errors when judging others. This note examines the ways in which these tendencies pose difficulties for... View Details
Robinson, Robert J. "Errors in Social Judgment: Implications for Negotiation and Conflict Resolution, Part 1." Harvard Business School Background Note 897-103, February 1997.
- 18 Apr 2016
- News
How to Take the Bias Out of Interviews
The Psyche on Automatic: Amy Cuddy Probes Snap Judgments, Warm Feelings, and How to Become an “Alpha Dog”
Social psychologist Cuddy, an assistant professor of business administration, investigates how people perceive and categorize others. Warmth and competence, she finds, are the two critical variables. They account for about 80 percent of our... View Details
- January 2021
- Article
Veil-of-Ignorance Reasoning Mitigates Self-Serving Bias in Resource Allocation During the COVID-19 Crisis
By: Karen Huang, Regan Bernhard, Netta Barak-Corren, Max Bazerman and Joshua D. Greene
The COVID-19 crisis has forced healthcare professionals to make tragic decisions concerning which patients to save. Furthermore, the COVID-19 crisis has foregrounded the influence of self-serving bias in debates on how to allocate scarce resources. A utilitarian... View Details
Keywords: Self-serving Bias; Procedural Justice; Bioethics; COVID-19; Fairness; Health Pandemics; Resource Allocation; Decision Making
Huang, Karen, Regan Bernhard, Netta Barak-Corren, Max Bazerman, and Joshua D. Greene. "Veil-of-Ignorance Reasoning Mitigates Self-Serving Bias in Resource Allocation During the COVID-19 Crisis." Judgment and Decision Making 16, no. 1 (January 2021): 1–19.
- September 2, 2014
- Article
Development of In-Group Favoritism in Children's Third-Party Punishment of Selfishness
By: Jillian J. Jordan, Katherine McAuliffe and Felix Warneken
When enforcing norms for cooperative behavior, human adults sometimes exhibit in-group bias. For example, third-party observers punish selfish behaviors committed by out-group members more harshly than similar behaviors committed by in-group members. Although evidence... View Details
Jordan, Jillian J., Katherine McAuliffe, and Felix Warneken. "Development of In-Group Favoritism in Children's Third-Party Punishment of Selfishness." Proceedings of the National Academy of Sciences 111, no. 35 (September 2, 2014): 12710–12715.
- Forthcoming
- Article
Reflexivity in Credit Markets
By: Robin Greenwood, Samuel G. Hanson and Lawrence J. Jin
Reflexivity is the idea that investors' biased beliefs affect market outcomes and that market outcomes in turn affect investors’ future biases. We develop a dynamic behavioral model of the credit cycle featuring this two-way feedback loop. Investors form beliefs about... View Details
Greenwood, Robin, Samuel G. Hanson, and Lawrence J. Jin. "Reflexivity in Credit Markets." Journal of Finance (forthcoming).