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Show Results For
- All HBS Web
(631)
- People (1)
- News (85)
- Research (442)
- Events (12)
- Multimedia (1)
- Faculty Publications (234)
- Research Summary
Selective Attention and Learning
What do we notice, and how does this affect what we learn? Standard economic models of learning ignore memory by assuming that we remember everything. But there is growing recognition that memory is imperfect. Further, memory imperfections do not stem from limited... View Details
- 2016
- Other Teaching and Training Material
Organizational Behavior Reading: Decision Making
By: Francesca Gino, Max Bazerman and Katherine Shonk
This Reading argues that decision making is systematically flawed and introduces methods to improve decision-making effectiveness. The Essential Reading section covers the rational decision-making model and three important ideas that challenge it: Herbert Simon's... View Details
Gino, Francesca, Max Bazerman, and Katherine Shonk. "Organizational Behavior Reading: Decision Making." Core Curriculum Readings Series. Boston, MA: Harvard Business Publishing 8383, 2016. Electronic.
- May 2021
- Article
Ideology and Composition Among an Online Crowd: Evidence From Wikipedians
By: Shane Greenstein, Grace Gu and Feng Zhu
Online communities bring together participants from diverse backgrounds and often face challenges in aggregating their opinions. We infer lessons from the experience of individual contributors to Wikipedia articles about U.S. politics. We identify two factors that... View Details
Keywords: User Segregation; Online Community; Contested Knowledge; Collective Intelligence; Ideology; Bias; Wikipedia; Knowledge Sharing; Perspective; Government and Politics
Greenstein, Shane, Grace Gu, and Feng Zhu. "Ideology and Composition Among an Online Crowd: Evidence From Wikipedians." Management Science 67, no. 5 (May 2021): 3067–3086.
- November–December 2019
- Article
Making Sense of Soft Information: Interpretation Bias and Loan Quality
By: Dennis Campbell, Maria Loumioti and Regina Wittenberg Moerman
We explore whether behavioral biases impede the effective processing and interpretation of soft information in private lending. Taking advantage of the internal reporting system of a large federal credit union, we delineate three important biases likely to affect the... View Details
Keywords: Soft Information; Lending; Banking; Information; Financing and Loans; Banks and Banking; Decision Making
Campbell, Dennis, Maria Loumioti, and Regina Wittenberg Moerman. "Making Sense of Soft Information: Interpretation Bias and Loan Quality." Art. 101240. Journal of Accounting & Economics 68, nos. 2-3 (November–December 2019).
- 2007
- Other Unpublished Work
Mind Over Matter? Similarities and Differences Between Perceived and Observed Networks
In spite of the rapid development of new methods for network analysis—relying on electronic data sources and sophisticated computational analysis—organizational scholars continue to rely largely on more traditional survey-based methods. We believe that the... View Details
- 26 Apr 2017
- Working Paper Summaries
Assessing the Quality of Quality Assessment: The Role of Scheduling
- July 2017
- Article
The Impact of 'Display-Set' Options on Decision-Making
By: Uma R. Karmarkar
The way a choice set is constructed can have a significant influence on how individuals perceive and evaluate their options and make decisions between them. Here, I examine whether a “display set” of visible but unavailable options can exert these same types of... View Details
Keywords: Decision Making Process; Heuristics; Similarity; Categorization; Marketing Insight; Marketing; Choice; Choice Architecture; Choice Sets; Display; Retail; Consumer Behavior; Decision Choices and Conditions; Decisions; Decision Making; Retail Industry; Consumer Products Industry
Karmarkar, Uma R. "The Impact of 'Display-Set' Options on Decision-Making." Journal of Behavioral Decision Making 30, no. 3 (July 2017): 744–753.
- December 2020 (Revised April 2021)
- Teaching Note
Women Entrepreneurs and Tech Ecosystems: One City, Two Realities, and Four Diverse Women
By: Rosabeth Moss Kanter and Joyce J. Kim
Four diverse women entrepreneurs launched their ventures in a thriving entrepreneurial ecosystem that was part of a shift to a creative technology-driven economy for Miami. Although Miami was rated the #1 U.S. city for startups in 2017, the region contained structural... View Details
Keywords: Women; Racism; Black Entrepreneurs; Entrepreneurship; Diversity; Gender; Race; Prejudice and Bias; Innovation and Invention; City; Culture; Miami
- 2008
- Working Paper
Taste Heterogeneity, IIA, and the Similarity Critique
By: Thomas J. Steenburgh and Andrew Ainslie
The purpose of this paper is to show that allowing for taste heterogeneity does not address the similarity critique of discrete-choice models. Although IIA may technically be broken in aggregate, the mixed logit model allows neither a given individual nor the... View Details
Steenburgh, Thomas J., and Andrew Ainslie. "Taste Heterogeneity, IIA, and the Similarity Critique." Harvard Business School Working Paper, No. 09-049, September 2008.
- 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
- October 2020 (Revised April 2021)
- Case
Women Entrepreneurs and Tech Ecosystems: One City, Two Realities, and Four Diverse Women
By: Rosabeth Moss Kanter and Joyce J. Kim
Four diverse women entrepreneurs launched their ventures in a thriving entrepreneurial ecosystem that was part of a shift to a creative technology-driven economy for Miami. Although Miami was rated the #1 U.S. city for startups in 2017, the region contained structural... View Details
Keywords: Female Entrepreneur; Entrepreneurial Ecosystems; Inclusion; Innovation & Entrepreneurship; Racism; Sexism; Start-up; Entrepreneurship; Business Startups; Diversity; Gender; Race; Prejudice and Bias; Innovation and Invention; City; Culture; Miami
Kanter, Rosabeth Moss, and Joyce J. Kim. "Women Entrepreneurs and Tech Ecosystems: One City, Two Realities, and Four Diverse Women." Harvard Business School Case 321-083, October 2020. (Revised April 2021.)
- August 2020
- Article
Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation
By: Prithwiraj Choudhury, Evan Starr and Rajshree Agarwal
The use of machine learning (ML) for productivity in the knowledge economy requires considerations of important biases that may arise from ML predictions. We define a new source of bias related to incompleteness in real time inputs, which may result from strategic... View Details
Choudhury, Prithwiraj, Evan Starr, and Rajshree Agarwal. "Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation." Strategic Management Journal 41, no. 8 (August 2020): 1381–1411.
- Article
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
The most prevalent notions of fairness in machine learning are statistical definitions: they fix a small collection of pre-defined groups, and then ask for parity of some statistic of the classifier (like classification rate or false positive rate) across these groups.... View Details
Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
- August 2011
- Article
Coming Clean and Cleaning Up: Does Voluntary Self-Reporting Indicate Effective Self-Policing
By: Michael W. Toffel and Jodi L. Short
Regulatory agencies are increasingly establishing voluntary self-reporting programs both as an investigative tool and to encourage regulated firms to commit to policing themselves. We investigate whether voluntary self-reporting can reliably indicate effective... View Details
Keywords: Environmental Sustainability; Governing Rules, Regulations, and Reforms; Programs; Governance Compliance; Corporate Disclosure; Law Enforcement
Toffel, Michael W., and Jodi L. Short. "Coming Clean and Cleaning Up: Does Voluntary Self-Reporting Indicate Effective Self-Policing." Journal of Law & Economics 54, no. 3 (August 2011): 609–649.
- Spring 2016
- Article
The Billion Prices Project: Using Online Prices for Inflation Measurement and Research
By: Alberto Cavallo and Roberto Rigobon
New data-gathering techniques, often referred to as “Big Data” have the potential to improve statistics and empirical research in economics. In this paper we describe our work with online data at the Billion Prices Project at MIT and discuss key lessons for both... View Details
Keywords: Billion Prices Project; Online Scraped Data; Online Price Index; Economics; Research; Price; Analytics and Data Science
Cavallo, Alberto, and Roberto Rigobon. "The Billion Prices Project: Using Online Prices for Inflation Measurement and Research." Journal of Economic Perspectives 30, no. 2 (Spring 2016): 151–178.
- January 2011 (Revised March 2011)
- Case
Development and Promotion at North Atlantic Hospital
By: Boris Groysberg, Lisa Leffert, Kerry Herman and Libby Williams
Dr. Elizabeth Harris, Chair of the Department of Anesthesiology (DA) at North Atlantic Hospital (NAH), faces several significant challenges. Staff satisfaction surveys confirmed her assessment that department faculty morale was low, the tenure and promotion system was... View Details
Keywords: Training; Employees; Retention; Performance Evaluation; Personal Development and Career; Motivation and Incentives; Health Industry
Groysberg, Boris, Lisa Leffert, Kerry Herman, and Libby Williams. "Development and Promotion at North Atlantic Hospital." Harvard Business School Case 411-018, January 2011. (Revised March 2011.)
- September 2021
- Article
Gender Stereotypes in Deliberation and Team Decisions
By: Katherine B. Coffman, Clio Bryant Flikkema and Olga Shurchkov
We explore how groups deliberate and decide on ideas in an experiment with communication. We find that gender biases play a significant role in which group members are chosen to answer on behalf of the group. Conditional on the quality of their ideas, individuals are... View Details
Keywords: Gender Differences; Stereotypes; Teams; Economic Experiments; Gender; Prejudice and Bias; Groups and Teams; Perception
Coffman, Katherine B., Clio Bryant Flikkema, and Olga Shurchkov. "Gender Stereotypes in Deliberation and Team Decisions." Games and Economic Behavior 129 (September 2021): 329–349.
- 08 Sep 2015
- Working Paper Summaries
Blinded by Experience: Prior Experience, Negative News and Belief Updating
- 07 Jul 2017
- News
When Potential Mentors Are Mostly White and Male
- 15 Dec 2010
- Working Paper Summaries
Cognitive Barriers to Environmental Action: Problems and Solutions
Keywords: by Lisa L.Shu & Max H. Bazerman