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Show Results For
- All HBS Web
(631)
- People (1)
- News (85)
- Research (442)
- Events (12)
- Multimedia (1)
- Faculty Publications (234)
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- Article
The Similarity Heuristic
By: Daniel Read and Yael Grushka-Cockayne
Decision makers often make snap judgments using fast‐and‐frugal decision rules called cognitive heuristics. Research into cognitive heuristics has been divided into two camps. One camp has emphasized the limitations and biases produced by the heuristics; another has... View Details
Read, Daniel, and Yael Grushka-Cockayne. "The Similarity Heuristic." Journal of Behavioral Decision Making 24, no. 1 (January 2011): 23–46.
- Article
Memory and Representativeness
By: Pedro Bordalo, Katherine Baldiga Coffman, Nicola Gennaioli, Frederik Schwerter and Andrei Shleifer
We explore the idea that judgment by representativeness reflects the workings of episodic memory, especially interference. In a new laboratory experiment on cued recall, participants are shown two groups of images with different distributions of colors. We find that i)... View Details
Bordalo, Pedro, Katherine Baldiga Coffman, Nicola Gennaioli, Frederik Schwerter, and Andrei Shleifer. "Memory and Representativeness." Psychological Review 128, no. 1 (January 2021): 71–85.
- Article
How to Use Heuristics for Differential Privacy
By: Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
We develop theory for using heuristics to solve computationally hard problems in differential privacy. Heuristic approaches have enjoyed tremendous success in machine learning, for which performance can be empirically evaluated. However, privacy guarantees cannot be... View Details
Neel, Seth, Aaron Leon Roth, and Zhiwei Steven Wu. "How to Use Heuristics for Differential Privacy." Proceedings of the IEEE Annual Symposium on Foundations of Computer Science (FOCS) 60th (2019).
- 14 Dec 2017
- News
Broker Leaks and Bitcoin Biases
- 2024
- Working Paper
Demographically Biased Technological Change
By: Victor Manuel Bennett, John-Paul Ferguson, Masoomeh Kalantari and Rembrand Koning
Who gets the jobs that automation creates? A consensus has begun to emerge that said technologies complement rather than substitute for labor. However, they also shift the demand for specific types of skills and other worker competencies. Such shifts imply unequal... View Details
Bennett, Victor Manuel, John-Paul Ferguson, Masoomeh Kalantari, and Rembrand Koning. "Demographically Biased Technological Change." Working Paper, June 2024.
- 19 Jan 2015
- Research & Ideas
Is Wikipedia More Biased Than Encyclopædia Britannica?
Bias? Evidence from Encyclopædia Britannica and Wikipedia. A new study examines biases between print andonline encyclopedias.©iStock.com/adventtr Zhu and Greenstein have long... View Details
- 24 Nov 2010
- Working Paper Summaries
Valuation When Cash Flow Forecasts Are Biased
Keywords: by Richard S. Ruback
- July 1977
- Article
Social Roles, Social Control and Biases in Social Perception Processes
By: L. D. Ross, T. M. Amabile and J. Steinmetz
To make accurate social judgments, an individual must both recognize and adequately correct for the self-presentation advantages or disadvantages conferred upon actors by their social roles. Two experiments using 120 undergraduates examined social perceptions formed... View Details
Keywords: Perception; Prejudice and Bias; Social Psychology; Judgments; Power and Influence; Status and Position; Situation or Environment
Ross, L. D., T. M. Amabile, and J. Steinmetz. "Social Roles, Social Control and Biases in Social Perception Processes." Journal of Personality and Social Psychology 35, no. 7 (July 1977): 485–494.
- 2023
- Working Paper
Auditing Predictive Models for Intersectional Biases
By: Kate S. Boxer, Edward McFowland III and Daniel B. Neill
Predictive models that satisfy group fairness criteria in aggregate for members of a protected class, but do not guarantee subgroup fairness, could produce biased predictions for individuals at the intersection of two or more protected classes. To address this risk, we... View Details
Boxer, Kate S., Edward McFowland III, and Daniel B. Neill. "Auditing Predictive Models for Intersectional Biases." Working Paper, June 2023.
- 1994
- Chapter
Biases and Rationality in the Mediation Process
By: K. Gibson, L. L. Thompson and M. H. Bazerman
Gibson, K., L. L. Thompson, and M. H. Bazerman. "Biases and Rationality in the Mediation Process." In Applications of Heuristics and Biases to Social Issues. Vol. 3, edited by L. Heath, F. Bryant, J. Edwards, E. Henderson, J. Myers, E. Posavac, Y. Suarez-Balcazar, and R. S. Tindale. Social Psychological Applications to Social Issues. New York: Plenum Press, 1994.
- 15 Dec 2020
- Working Paper Summaries
Biased Sampling of Early Users and the Direction of Startup Innovation
- 2010
- Working Paper
Valuation When Cash Flow Forecasts Are Biased
This paper focuses adaptations to the discount cash flow (DCF) method when valuing forecasted cash flows that are biased measures of expected cash flows. I imagine a simple setting where the expected cash flows equal the forecasted cash flows plus an omitted downside.... View Details
Keywords: Forecasting and Prediction; Cash Flow; Cost of Capital; Performance Expectations; Prejudice and Bias; Valuation
Ruback, Richard S. "Valuation When Cash Flow Forecasts Are Biased." Harvard Business School Working Paper, No. 11-036, October 2010.
- June 2021
- Case
Bozoma Saint John: Leading with Authenticity and Urgency
By: Francesca Gino and Frances X. Frei
In this multimedia case, Bozoma Saint John recounts numerous defining moments from her childhood and work experiences. We learn what empowered and inspired her to be her authentic self, to be vulnerable and open to new experiences, to find commonality with others, to... View Details
Keywords: Biases; Personal Development and Career; Identity; Interests; Ethics; Values and Beliefs; Opportunities; Leadership Style; Diversity
Gino, Francesca, and Frances X. Frei. "Bozoma Saint John: Leading with Authenticity and Urgency." Harvard Business School Multimedia/Video Case 921-708, June 2021.
- January 2011 (Revised October 2012)
- Background Note
Strengths Become Weaknesses: Cognitive Biases in Founder Decision-Making
By: Noam T. Wasserman and Kyle Anderson
This note combines vignettes and scholarly research to outline the cognitive biases and decision-making strategies that influence key decisions in the founding process. It is argued that the same biases which provide early benefits can later prove to be a weakness for... View Details
Wasserman, Noam T., and Kyle Anderson. "Strengths Become Weaknesses: Cognitive Biases in Founder Decision-Making." Harvard Business School Background Note 811-068, January 2011. (Revised October 2012.)
- May 2012
- Article
Incentive Schemes, Sorting and Behavioral Biases of Employees: Experimental Evidence
By: Ian Larkin and Stephen Leider
We investigate how the convexity of a firm's incentives interacts with worker overconfidence to affect sorting decisions and performance. We demonstrate experimentally that overconfident employees are more likely to sort into a non-linear incentive scheme over a linear... View Details
Keywords: Motivation and Incentives; Performance; Behavior; Prejudice and Bias; Decisions; Employees; Wages
Larkin, Ian, and Stephen Leider. "Incentive Schemes, Sorting and Behavioral Biases of Employees: Experimental Evidence." American Economic Journal: Microeconomics 4, no. 2 (May 2012).
- 16 Feb 2024
- Research & Ideas
Is Your Workplace Biased Against Introverts?
passion can quietly enable organizational biases against more introspective employees, Jachimowicz and his team say, as studies show that extroverts get more attention from managers in the form of resources,... View Details
Keywords: by Ben Rand
- Article
Learning from Potentially Biased Statistics: Household Inflation Perceptions and Expectations in Argentina
By: Alberto Cavallo, Guillermo Cruces and Ricardo Perez-Truglia
When forming expectations, households may be influenced by perceived bias in the information they receive. In this paper, we study how individuals learn from potentially biased statistics using data from both a natural experiment and a survey experiment during a... View Details
Keywords: Inflation Expectations; Bayesian Estimation; Inflation and Deflation; Information; Household; Behavior; Argentina
Cavallo, Alberto, Guillermo Cruces, and Ricardo Perez-Truglia. "Learning from Potentially Biased Statistics: Household Inflation Perceptions and Expectations in Argentina." Brookings Papers on Economic Activity (Spring 2016): 59–108.
- 05 Jul 2006
- Working Paper Summaries
Do Managers’ Heuristics Affect R&D Performance Volatility? A Simulation Informed by the Pharmaceutical Industry
- 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.