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(641)
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Show Results For
- All HBS Web
(641)
- People (1)
- News (88)
- Research (452)
- Events (13)
- Multimedia (1)
- Faculty Publications (248)
- January 2025
- Module Note
Understanding and Addressing Gender Gaps
This module provides a framework for students to analyze how gender stereotypes, through their impact on beliefs about others and beliefs about ourselves, contribute to gender gaps in the workplace. The module proceeds in three parts. First, through a case and an... View Details
Coffman, Katherine. "Understanding and Addressing Gender Gaps." Harvard Business School Module Note 925-021, January 2025.
- 2011
- Article
Strike Three: Discrimination, Incentives, and Evaluation
By: Christopher Parsons, J. Sulaeman, M. Yates and D. Hamermesh
Major League Baseball umpires express their racial/ethnic preferences when they evaluate pitchers. Strikes are called less often if the umpire and pitcher do not match race/ethnicity, but mainly where there is little scrutiny of umpires. Pitchers understand the... View Details
Keywords: Wages; Motivation and Incentives; Prejudice and Bias; Ethnicity; Race; Performance Productivity; Sports; Sports Industry
Parsons, Christopher, J. Sulaeman, M. Yates, and D. Hamermesh. "Strike Three: Discrimination, Incentives, and Evaluation." American Economic Review 101, no. 4 (June 2011): 1410–1435.
"Selective Attention and Learning"
What do we notice and how does this affect what we learn and come to believe? I present a model of an agent who learns to make forecasts on the basis of readily available information, but is selective as to which information he attends to: he chooses whether to... View Details
- July 1999 (Revised January 2004)
- Case
Chrysler and BMW: Tritec Engine Joint Venture
By: H. Kent Bowen and Courtney Purrington
A gifted project leader lacks significant new product development experience. The case highlights the issues and procedures related to defining the project strategy: organizing senior management approvals and support for creating a "heavyweight" team; aligning the... View Details
Keywords: Product Development; Joint Ventures; Projects; Business Strategy; Management Teams; Groups and Teams; Machinery and Machining; Design; Business Processes; Product Design; Product; Management Analysis, Tools, and Techniques; Auto Industry
Bowen, H. Kent, and Courtney Purrington. "Chrysler and BMW: Tritec Engine Joint Venture." Harvard Business School Case 600-004, July 1999. (Revised January 2004.)
- 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.
- 26 Apr 2017
- Working Paper Summaries
Assessing the Quality of Quality Assessment: The Role of Scheduling
- 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).
- 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.)
- 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.
- 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
- 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.
- 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.
- 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).
- 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
- 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.
- 2025
- Working Paper
Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India
By: Shawn Cole, Grady Killeen, Tomoko Harigaya and Aparna Krishna
This paper evaluates a low-cost, customized soil nutrient management advisory service in India. As a methodological contribution, we examine whether and in which settings satellite measurements may be effective at estimating both agricultural yields and treatment... View Details
Keywords: Performance Evaluation; Technology Adoption; Measurement and Metrics; Analytics and Data Science; Agriculture and Agribusiness Industry; India
Cole, Shawn, Grady Killeen, Tomoko Harigaya, and Aparna Krishna. "Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India." Harvard Business School Working Paper, No. 25-035, January 2025.
- 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.
- 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.