Filter Results:
(641)
Show Results For
- All HBS Web
(641)
- People (1)
- News (88)
- Research (452)
- Events (13)
- Multimedia (1)
- Faculty Publications (249)
Show Results For
- All HBS Web
(641)
- People (1)
- News (88)
- Research (452)
- Events (13)
- Multimedia (1)
- Faculty Publications (249)
- 10 Jul 2021
- News
Four Biases and Barriers Women Have to Overcome At Work
- 05 Jul 2006
- Working Paper Summaries
Do Managers’ Heuristics Affect R&D Performance Volatility? A Simulation Informed by the Pharmaceutical Industry
- Article
Signaling When Nobody Is Watching: A Reputation Heuristics Account of Outrage and Punishment in One-shot Anonymous Interactions
By: Jillian J. Jordan and David G. Rand
Moralistic punishment can confer reputation benefits by signaling trustworthiness to observers. However, why do people punish even when nobody is watching? We argue that people often rely on the heuristic that reputation is typically at stake, such that reputation... View Details
Keywords: Signaling; Morality; Trustworthiness; Anger; Third-party Punishment; Moral Sensibility; Behavior; Trust; Reputation
Jordan, Jillian J., and David G. Rand. "Signaling When Nobody Is Watching: A Reputation Heuristics Account of Outrage and Punishment in One-shot Anonymous Interactions." Journal of Personality and Social Psychology 118, no. 1 (January 2020).
- 2017
- Working Paper
Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments
By: Daniel J. Benjamin, Don A. Moore and Matthew Rabin
This paper describes results of a pair of incentivized experiments on biases in judgments about random samples. Consistent with the Law of Small Numbers (LSN), participants exaggerated the likelihood that short sequences and random subsets of coin flips would be... View Details
Benjamin, Daniel J., Don A. Moore, and Matthew Rabin. "Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments." NBER Working Paper Series, No. 23927, October 2017.
- 2003
- Working Paper
Model Structure Analysis Through Graph Theory: Partition Heuristics and Feedback Structure Decomposition
Oliva, Rogelio. "Model Structure Analysis Through Graph Theory: Partition Heuristics and Feedback Structure Decomposition." Harvard Business School Working Paper, No. 04-016, October 2003.
- September 16, 2022
- Article
3 Workplace Biases that Derail Mid-Career Women
By: Colleen Ammerman and Boris Groysberg
Mid-career women are often surprised by the levels of bias and discrimination they encounter in the workplace, especially if they’ve successfully avoided it earlier in their careers. After speaking to 100 senior women executives, the authors identified three distinct... View Details
Ammerman, Colleen, and Boris Groysberg. "3 Workplace Biases that Derail Mid-Career Women." Harvard Business Review (website) (September 16, 2022).
- August 1999
- Article
Positive Illusions and Biases of Prediction in Mutual Fund Investment Decisions
By: D. A. Moore, T. R. Kurtzberg, C. R. Fox and M. H. Bazerman
Moore, D. A., T. R. Kurtzberg, C. R. Fox, and M. H. Bazerman. "Positive Illusions and Biases of Prediction in Mutual Fund Investment Decisions." Organizational Behavior and Human Decision Processes 79, no. 2 (August 1999): 95–114.
- 31 Oct 2014
- News
Identifying the Biases Behind Your Bad Decisions
- 16 Sep 2022
- News
3 Workplace Biases that Derail Mid-Career Women
- 2021
- Article
Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring
By: Tom Sühr, Sophie Hilgard and Himabindu Lakkaraju
Ranking algorithms are being widely employed in various online hiring platforms including LinkedIn, TaskRabbit, and Fiverr. Prior research has demonstrated that ranking algorithms employed by these platforms are prone to a variety of undesirable biases, leading to the... View Details
Sühr, Tom, Sophie Hilgard, and Himabindu Lakkaraju. "Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society 4th (2021).
- Research Summary
Cognitive Biases in Hiring Discrimination, with Christopher Winship and Andras, 2008-Present
- Research on stereotyping and employment discrimination
- Field study with Human Resources professionals
- 07 Nov 2016
- News
Wikipedia’s not as biased as you might think
- 21 Feb 2012
- Research & Ideas
Leadership Program for Women Targets Subtle Promotion Biases
training-up to be 'as good as' men," says Ely. "They don't take the systemic gender biases in organizations into account when educating women about how to move into and exercise leadership."... View Details
Keywords: by Maggie Starvish
- 01 Sep 2021
- Op-Ed
How Women Can Learn from Even Biased Feedback
why, 74 percent said they found such conversations to be either uncomfortable or unhelpful. Men and women alike in the sample reported feeling not very optimistic that the feedback they’d receive would help them actually improve in their... View Details
Keywords: by Francesca Gino
- 01 Jun 2021
- News
5 Behavioral Biases That Trip Up Remote Managers
- 05 Jun 2015
- News
How Banking Analysts’ Biases Benefit Everyone Except Investors
- 21 Feb 2012
- News
Leadership Program for Women Targets Subtle Promotion Biases
- 2012
- Working Paper
The Dark Side of the Vote: Biased Voters, Social Information, and Information Aggregation Through Majority Voting
We experimentally investigate information aggregation through majority voting when some voters are biased. In such situations, majority voting can have a "dark side", i.e. result in groups making choices inferior to those made by individuals acting alone. We develop a... View Details
Morton, Rebecca B., Marco Piovesan, and Jean-Robert Tyran. "The Dark Side of the Vote: Biased Voters, Social Information, and Information Aggregation Through Majority Voting." Harvard Business School Working Paper, No. 13-017, August 2012.
- 07 Oct 2016
- News
Boston-based attorney argues Uber’s star ratings are racially biased
- January 2019
- Article
The ABCs of Financial Education: Experimental Evidence on Attitudes, Behavior, and Cognitive Biases
By: Fenella Carpena, Shawn A. Cole, Jeremy Shapiro and Bilal Zia
This paper uses a large-scale field experiment in India to study attitudinal, behavioral, and cognitive constraints that can stymie the link between financial education and financial outcomes. The study complements financial education with (1) financial incentives on a... View Details
Carpena, Fenella, Shawn A. Cole, Jeremy Shapiro, and Bilal Zia. "The ABCs of Financial Education: Experimental Evidence on Attitudes, Behavior, and Cognitive Biases." Management Science 65, no. 1 (January 2019): 346–369.