Skip to Main Content
HBS Home
  • About
  • Academic Programs
  • Alumni
  • Faculty & Research
  • Baker Library
  • Giving
  • Harvard Business Review
  • Initiatives
  • News
  • Recruit
  • Map / Directions
Faculty & Research
  • Faculty
  • Research
  • Featured Topics
  • Academic Units
  • …→
  • Harvard Business School→
  • Faculty & Research→
  • Research
    • Research
    • Publications
    • Global Research Centers
    • Case Development
    • Initiatives & Projects
    • Research Services
    • Seminars & Conferences
    →
  • Publications→

Publications

Publications

Filter Results: (415) Arrow Down
Filter Results: (415) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (618)
    • People  (1)
    • News  (92)
    • Research  (415)
    • Events  (6)
    • Multimedia  (1)
  • Faculty Publications  (224)

Show Results For

  • All HBS Web  (618)
    • People  (1)
    • News  (92)
    • Research  (415)
    • Events  (6)
    • Multimedia  (1)
  • Faculty Publications  (224)
← Page 2 of 415 Results →
Sort by

Are you looking for?

→Search All HBS Web
  • April 2019
  • Article

Score Blending: How Scale Response Grouping Biases Perceived Standing

By: Ryan Hauser and Norbert Schwarz
Numerical values—from test scores to credit scores—inform us of our relative standing and can shape our decisions. The values are usually presented in a continuous format (which places scores on a single line) or a grouped format (which separates scores into several... View Details
Keywords: Decision-making; Scale; Decision Making; Perception
Citation
Find at Harvard
Related
Hauser, Ryan, and Norbert Schwarz. "Score Blending: How Scale Response Grouping Biases Perceived Standing." Journal of Behavioral Decision Making 32, no. 2 (April 2019): 194–202.
  • 2006
  • Working Paper

Managing Functional Biases in Organizational Forecasts: A Case Study of Consensus Forecasting in Supply Chain Planning

To date, little research has been done on managing the organizational and political dimensions of generating and improving forecasts in corporate settings. We examine the implementation of a supply chain planning process at a consumer electronics company, concentrating... View Details
Keywords: Prejudice and Bias; Business or Company Management; Supply Chain Management; Forecasting and Prediction; Planning; Electronics Industry
Citation
Read Now
Related
Oliva, Rogelio, and Noel Watson. "Managing Functional Biases in Organizational Forecasts: A Case Study of Consensus Forecasting in Supply Chain Planning." Harvard Business School Working Paper, No. 07-024, October 2006. (Revised March 2007, January 2008.)
  • 2021
  • Working Paper

G.I. Joe Phenomena: Understanding the Limits of Metacognitive Awareness on Debiasing

By: Ariella S. Kristal and Laurie R. Santos
Knowing about one’s biases does not always allow one to overcome those biases— a phenomenon referred to as the G. I. Joe fallacy. We explore why knowing about a bias doesn’t necessarily change biased behavior. We argue that seemingly disparate G. I. Joe... View Details
Keywords: Biases; Judgment; Decision-making; Nudge; Debiasing; Illusions; Prejudice and Bias; Decision Making; Behavior; Change
Citation
Read Now
Related
Kristal, Ariella S., and Laurie R. Santos. "G.I. Joe Phenomena: Understanding the Limits of Metacognitive Awareness on Debiasing." Harvard Business School Working Paper, No. 21-084, January 2021.
  • 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
Keywords: Investment; Decision Making; Forecasting and Prediction
Citation
Find at Harvard
Related
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.
  • 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
Citation
Read Now
Related
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).
  • 15 Dec 2020
  • Working Paper Summaries

Biased Sampling of Early Users and the Direction of Startup Innovation

Keywords: by Ruiqing Cao, Rembrand Koning, and Ramana Nanda
  • 02 Nov 2006
  • Working Paper Summaries

Managing Functional Biases in Organizational Forecasts: A Case Study of Consensus Forecasting in Supply Chain Planning

Keywords: by Rogelio Oliva & Noel H. Watson
  • 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
 View Details
  • 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
Keywords: Prejudice and Bias; Voting
Citation
Read Now
Related
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.
  • March–April 2021
  • Article

Network-biased Technical Change: How Information Management Tools Overcome Some Biases but Exacerbate Others.

By: Gerald C. Kane and Lynn Wu
Organizations have long sought to improve employee performance by managing knowledge more effectively. In this paper, we test whether the adoption of digital tools for expertise search and access within an organization, often referred to as a support to an... View Details
Keywords: Digital Tools; Social Media; Social Networks; Transactive Memory Systems; Augmented Intelligence; Artificial Intelligence; Social and Collaborative Networks; Gender; Equality and Inequality; Technology Adoption; Knowledge Management; Performance Improvement; Power and Influence; Organizational Change and Adaptation
Citation
Find at Harvard
Related
Kane, Gerald C., and Lynn Wu. "Network-biased Technical Change: How Information Management Tools Overcome Some Biases but Exacerbate Others." Organization Science 32, no. 2 (March–April 2021): 273–292.
  • 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
Keywords: Finance; Education; Attitudes; Behavior; Outcome or Result
Citation
Find at Harvard
Purchase
Related
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.
  • Article

Dirty Deeds Unwanted: The Use of Biased Memory Processes in the Context of Ethics

By: Maryam Kouchaki and Francesca Gino
Citation
Purchase
Related
Kouchaki, Maryam, and Francesca Gino. "Dirty Deeds Unwanted: The Use of Biased Memory Processes in the Context of Ethics." Special Issue on Morality and Ethics edited by Francesca Gino and Shaul Salvi. Current Opinion in Psychology 6 (December 2015): 82–86.
  • 2021
  • Working Paper

Cognitive Biases: Mistakes or Missing Stakes?

By: Benjamin Enke, Uri Gneezy, Brian Hall, David Martin, Vadim Nelidov, Theo Offerman and Jeroen van de Ven
Despite decades of research on heuristics and biases, empirical evidence on the effect of large incentives—as present in relevant economic decisions—on cognitive biases is scant. This paper tests the effect of incentives on four widely documented biases: base rate... View Details
Keywords: Cognitive Biases; Incentives; Motivation and Incentives; Decision Making; Performance
Citation
Read Now
Related
Enke, Benjamin, Uri Gneezy, Brian Hall, David Martin, Vadim Nelidov, Theo Offerman, and Jeroen van de Ven. "Cognitive Biases: Mistakes or Missing Stakes?" Harvard Business School Working Paper, No. 21-102, March 2021.
  • 2020
  • Article

Subjective Semantic Surprise Resulting from Divided Attention Biases Evaluations of an Idea’s Creativity

By: Goran Calic, Nour El Shamy, Isaac Kinley, Scott Watter and Khaled Hassanein
The evaluation of an idea’s creativity constitutes an important step in successfully responding to an unexpected problem with a new solution. Yet, distractions compete for cognitive resources with the evaluation process and may change how individuals evaluate ideas. In... View Details
Keywords: Creativity; Cognition and Thinking
Citation
Read Now
Related
Calic, Goran, Nour El Shamy, Isaac Kinley, Scott Watter, and Khaled Hassanein. "Subjective Semantic Surprise Resulting from Divided Attention Biases Evaluations of an Idea’s Creativity." Scientific Reports 10 (2020).
  • Article

Missing the Near Miss: Recognizing Valuable Learning Opportunities in Radiation Oncology

By: Palak Kundu, Olivia Jung, Luca F. Valle, Amy C. Edmondson, Nzhde Agazaryan, John Hegde, Michael Steinberg and Ann Raldow
“Near miss” events are valuable low-cost learning opportunities in radiation oncology as they do not result in patient harm and are more pervasive than adverse events that do. Near misses vary depending on the presence of a latent error of behavior or process, and the... View Details
Keywords: Radiation Oncology; Cognitive Biases; Health Care and Treatment; Learning
Citation
Find at Harvard
Read Now
Related
Kundu, Palak, Olivia Jung, Luca F. Valle, Amy C. Edmondson, Nzhde Agazaryan, John Hegde, Michael Steinberg, and Ann Raldow. "Missing the Near Miss: Recognizing Valuable Learning Opportunities in Radiation Oncology." Practical Radiation Oncology 11, no. 3 (May 2021): e256–e262.
  • 2010
  • Article

Fretting About Modest Risks Is a Mistake

By: Matthew Rabin and Max Bazerman
Managers often engage in risk-averse behavior, and economists, decision analysts, and managers treat risk aversion as a preference. In many cases, acting in a risk-averse manner is a mistake, but managers can correct this mistake with greater reflection. This article... View Details
Keywords: Decision Biases; Risk Management; Risk and Uncertainty; Decision Making
Citation
Find at Harvard
Read Now
Related
Rabin, Matthew, and Max Bazerman. "Fretting About Modest Risks Is a Mistake." California Management Review 61, no. 3 (May 2019): 34–48.
  • 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
Keywords: Heuristics And Biases; Fast-and-frugal Heuristics; Similarity; Representative Design
Citation
Find at Harvard
Purchase
Related
Read, Daniel, and Yael Grushka-Cockayne. "The Similarity Heuristic." Journal of Behavioral Decision Making 24, no. 1 (January 2011): 23–46.
  • February 2020
  • Article

Using Charity Performance Metrics as an Excuse Not to Give

By: Christine L. Exley
There is an increasing pressure to give more wisely and effectively. There is, relatedly, an increasing focus on charity performance metrics. Via a series of experiments, this paper provides a caution to such a focus. While information on charity performance metrics... View Details
Keywords: Charitable Giving; Prosocial Behavior; Altruism; Excuses; Self-serving Biases; Philanthropy and Charitable Giving; Performance; Measurement and Metrics; Behavior
Citation
Find at Harvard
Read Now
Related
Exley, Christine L. "Using Charity Performance Metrics as an Excuse Not to Give." Management Science 66, no. 2 (February 2020): 553–563.
  • 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
Citation
Find at Harvard
Read Now
Purchase
Related
Cao, Ruiqing, Rembrand Koning, and Ramana Nanda. "Sampling Bias in Entrepreneurial Experiments." Management Science 70, no. 10 (October 2024): 7283–7307.
  • February 2018
  • Article

The Impact of a Surprise Donation Ask

By: Christine L. Exley and Ragan Petrie
Individuals frequently exploit "flexibility" built into decision environments to give less. They use uncertainty to justify options benefiting themselves over others, they avoid information that may encourage them to give, and they avoid the ask itself. In this paper,... View Details
Keywords: Charitable Giving; Prosocial Behavior; Self-serving Biases; Excuses; Philanthropy and Charitable Giving; Behavior
Citation
Find at Harvard
Read Now
Related
Exley, Christine L., and Ragan Petrie. "The Impact of a Surprise Donation Ask." Journal of Public Economics 158 (February 2018): 152–167.
  • ←
  • 2
  • 3
  • …
  • 20
  • 21
  • →

Are you looking for?

→Search All HBS Web
ǁ
Campus Map
Harvard Business School
Soldiers Field
Boston, MA 02163
→Map & Directions
→More Contact Information
  • Make a Gift
  • Site Map
  • Jobs
  • Harvard University
  • Trademarks
  • Policies
  • Accessibility
  • Digital Accessibility
Copyright © President & Fellows of Harvard College.