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Show Results For
- All HBS Web
(425)
- News (20)
- Research (383)
- Multimedia (1)
- Faculty Publications (302)
- September 2020 (Revised July 2022)
- Exercise
Artea (C): Potential Discrimination through Algorithmic Targeting
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (C): Potential Discrimination through Algorithmic Targeting." Harvard Business School Exercise 521-037, September 2020. (Revised July 2022.)
- 1998
- Chapter
Sticky Ties and Bad Attitudes: Relational and Individual Bases of Resistance to Changes in Organizational Structure
By: K. L. Valley and T. A. Thompson
Keywords: Organizational Change and Adaptation; Organizational Structure; Attitudes; Prejudice and Bias; Motivation and Incentives; Relationships
Valley, K. L., and T. A. Thompson. "Sticky Ties and Bad Attitudes: Relational and Individual Bases of Resistance to Changes in Organizational Structure." In Power and Influence in Organizations, edited by R. M. Kramer and M. A. Neale, 39–66. Thousand Oaks, CA: SAGE Publications, 1998.
- June 2020
- Supplement
Shellye Archambeau: Becoming a CEO (B)
By: Tsedal Neeley and Briana Richardson
With the economy in a freefall, MetricStream is losing customers, hemorrhaging cash and struggling to make payroll. Several board members are threatening to quit. Others are pressing to sell the company even at dismally low valuations. It’s 2008 and lightning has... View Details
Keywords: Race; Gender; Leadership Style; Risk and Uncertainty; Change; Prejudice and Bias; Decision Making; Personal Development and Career; Technology Industry; California
Neeley, Tsedal, and Briana Richardson. "Shellye Archambeau: Becoming a CEO (B)." Harvard Business School Supplement 420-073, June 2020.
- Summer 2016
- Article
Open Content, Linus' Law, and Neutral Point of View
By: Shane Greenstein and Feng Zhu
The diffusion of the Internet and digital technologies has enabled many organizations to use the open-content production model to produce and disseminate knowledge. While several prior studies have shown that the open-content production model can lead to high-quality... View Details
Keywords: Prejudice and Bias; Internet and the Web; Balance and Stability; Operations; Knowledge Management; Knowledge Dissemination
Greenstein, Shane, and Feng Zhu. "Open Content, Linus' Law, and Neutral Point of View." Information Systems Research 27, no. 3 (September 2016): 618–635.
- July 2022 (Revised February 2025)
- Case
A Soul and a Service: North Carolina Mutual Life Insurance
By: Tom Nicholas and John Masko
The North Carolina Mutual and Provident Association (the Mutual) was founded in 1898 as a for-profit entity selling life insurance catering to the Black community. The Mutual was entering a field crowded with established White-owned competitors that largely refused to... View Details
Keywords: Black Entrepreneurs; Insurance; History; Race; Prejudice and Bias; Entrepreneurship; Decision Choices and Conditions; Growth and Development Strategy; Insurance Industry; United States
Nicholas, Tom, and John Masko. "A Soul and a Service: North Carolina Mutual Life Insurance." Harvard Business School Case 823-032, July 2022. (Revised February 2025.)
- September 2020 (Revised July 2022)
- Exercise
Artea (B): Including Customer-Level Demographic Data
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)
- November 2007 (Revised October 2008)
- Case
Differences at Work: Will (A)
By: Sandra J. Sucher and Rachel Gordon
A colleague makes a stereotypical remark about gays that Will, an out gay man, knows to be wrong. He struggles with how to correct the senior colleague. View Details
Sucher, Sandra J., and Rachel Gordon. "Differences at Work: Will (A)." Harvard Business School Case 408-013, November 2007. (Revised October 2008.)
- 06 Aug 2024
- Op-Ed
What the World Could Learn from America's Immigration Backlash—100 Years Ago
Immigration will be a central issue in the upcoming US presidential election, just as it motivated the recent snap elections in France. After all, the number of migrants rose 27 percent to 281 million globally in 2020, compared with 2010, according to United Nations... View Details
Keywords: by Marco Tabellini
- 2010
- Working Paper
Cognitive Barriers to Environmental Action: Problems and Solutions
By: Lisa L. Shu and Max Bazerman
We explore interventions at the individual level and focus on recognized cognitive barriers from behavioral decision-making literature. In particular, we highlight three cognitive barriers that impede sound individual decision making that have particular relevance to... View Details
Keywords: Decision Choices and Conditions; Judgments; Consumer Behavior; Environmental Sustainability; Cognition and Thinking; Prejudice and Bias
Shu, Lisa L., and Max Bazerman. "Cognitive Barriers to Environmental Action: Problems and Solutions." Harvard Business School Working Paper, No. 11-046, November 2010.
- April 2005
- Article
The Geography of Equity Analysis
By: Christopher J. Malloy
I provide evidence that geographically proximate analysts are more accurate than other analysts. Stock returns immediately surrounding forecast revisions suggest that local analysts impact prices more than other analysts. These effects are strongest for firms located... View Details
Keywords: Geographic Location; Stocks; Investment Return; Forecasting and Prediction; Price; Performance; Equity; Information; Prejudice and Bias; Agency Theory
Malloy, Christopher J. "The Geography of Equity Analysis." Journal of Finance 60, no. 2 (April 2005): 719–755. (Nominated for Smith Breeden Prize. Best Paper For the best finance research paper published in the Journal of Finance presented by Smith Breeden Associates, Inc.)
- November 2006
- Article
Patent Citations as a Measure of Knowledge Flows: The Influence of Examiner Citations
By: Juan Alcacer and Michelle Gittelman
Analysis of patent citations is a core methodology in the study of knowledge diffusion. However, citations made by patent examiners have not been separately reported, adding unknown noise to the data. We leverage a recent change in the reporting of patent data showing... View Details
Keywords: Patents; Knowledge Sharing; Management Analysis, Tools, and Techniques; Information Technology; Prejudice and Bias; Change
Alcacer, Juan, and Michelle Gittelman. "Patent Citations as a Measure of Knowledge Flows: The Influence of Examiner Citations." Review of Economics and Statistics 88, no. 4 (November 2006): 774–779.
- September 2020 (Revised July 2022)
- Supplement
Spreadsheet Supplement to Artea (B) and (C)
By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to "Artea (B): Including Customer-level Demographic Data" and "Artea (C): Potential Discrimination through Algorithmic Targeting" View Details
- April–May 2017
- Article
Career Concerns of Banking Analysts
By: Joanne Horton, George Serafeim and Shan Wu
We study how career concerns influence banking analysts' forecasts and how their forecasting behavior benefits both them and bank managers. We show that banking analysts issue early in the year relatively more optimistic and later in the year more pessimistic forecasts... View Details
Keywords: Sell-side Analysts; Analyst Forecasts; Analysts; Investment Recommendations; Career Advancement; Career Management; Labor Mobility; Labor Market; Prejudice and Bias; Personal Development and Career; Forecasting and Prediction; Investment Banking
Horton, Joanne, George Serafeim, and Shan Wu. "Career Concerns of Banking Analysts." Journal of Accounting & Economics 63, nos. 2-3 (April–May 2017): 231–252.
- 2007
- Working Paper
The Ethical Mirage: A Temporal Explanation as to Why We Aren't as Ethical as We Think We Are
By: Ann E. Tenbrunsel, Kristina A. Diekmann, Kimberly A. Wade-Benzoni and Max H. Bazerman
This paper explores the biased perceptions that people hold of their own ethicality. We argue that the temporal trichotomy of prediction, action and evaluation is central to these misperceptions: People predict that they will behave more ethically than they actually... View Details
Keywords: Forecasting and Prediction; Ethics; Behavior; Cognition and Thinking; Perception; Prejudice and Bias
Tenbrunsel, Ann E., Kristina A. Diekmann, Kimberly A. Wade-Benzoni, and Max H. Bazerman. "The Ethical Mirage: A Temporal Explanation as to Why We Aren't as Ethical as We Think We Are." Harvard Business School Working Paper, No. 08-012, August 2007. (revised January 2009, previously titled "Why We Aren't as Ethical as We Think We Are: A Temporal Explanation.")
- November 2007 (Revised July 2009)
- Case
Differences at Work: Martin (A)
By: Sandra J. Sucher and Rachel Gordon
Martin, a gay man who was not out at his Italian firm, witnesses his division manager deliver a homophobic comment to his boss. He wonders what he should do. View Details
Keywords: Prejudice and Bias; Behavior; Managerial Roles; Ethics; Gender; Diversity; Power and Influence
Sucher, Sandra J., and Rachel Gordon. "Differences at Work: Martin (A)." Harvard Business School Case 408-019, November 2007. (Revised July 2009.)
- January 1983 (Revised July 2007)
- Case
Neill Hance
Neill Hance takes advantage of all available information and resources to insure a smooth entry into a culture--an entry that would have normally been rather difficult to deal with because of stereotyping and perceived threat. View Details
Keywords: Knowledge Acquisition; Knowledge Use and Leverage; Organizational Culture; Personal Development and Career; Planning; Prejudice and Bias
Sathe, Vijay V., and Mark Rhodes. "Neill Hance." Harvard Business School Case 483-086, January 1983. (Revised July 2007.)
- April 2025
- Article
Serving with a Smile on Airbnb: Analyzing the Economic Returns and Behavioral Underpinnings of the Host’s Smile
By: Shunyuan Zhang, Elizabeth Friedman, Kannan Srinivasan, Ravi Dhar and Xupin Zhang
Non-informational cues, such as facial expressions, can significantly influence judgments and interpersonal impressions. While past research has explored how smiling affects business outcomes in offline or in-store contexts, relatively less is known about how smiling... View Details
Keywords: Sharing Economy; Airbnb; Image Feature Extraction; Machine Learning; Facial Expressions; Prejudice and Bias; Nonverbal Communication; E-commerce; Consumer Behavior; Perception
Zhang, Shunyuan, Elizabeth Friedman, Kannan Srinivasan, Ravi Dhar, and Xupin Zhang. "Serving with a Smile on Airbnb: Analyzing the Economic Returns and Behavioral Underpinnings of the Host’s Smile." Journal of Consumer Research 51, no. 6 (April 2025): 1073–1097.
- December 2020
- Supplement
Video Interview with Pandwe Gibson
By: Rosabeth M. 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; Sexism; Racism; Entrepreneurship; Business Startups; Diversity; Gender; Race; Prejudice and Bias; City; Culture; Miami
Kanter, Rosabeth M., and Joyce J. Kim. "Video Interview with Pandwe Gibson." Harvard Business School Multimedia/Video Supplement 321-704, December 2020.
- October 2017 (Revised November 2017)
- Case
NYC311
By: Constantine E. Kontokosta, Mitchell Weiss, Christine Snively and Sarah Gulick
Joe Morrisroe, executive director for NYC311, had some gut instincts but no definitive answer to the question he was just asked by one of the mayor’s deputies: “Are some communities being underserved by 311? How do we know we are hearing from the right people?” Founded... View Details
Keywords: New York City; NYC; 311; NYC311; Big Data; Equal Access; Bias; Data Analysis; Public Entrepreneurship; Urban Informatics; Predictive Analytics; Chief Data Officer; Data Analytics; Cities; City Leadership; Analytics and Data Science; Analysis; Prejudice and Bias; Entrepreneurship; Public Sector; City; Public Administration Industry; New York (city, NY)
- May 2011
- Article
Overconfidence by Bayesian Rational Agents
This paper derives two mechanisms through which Bayesian-rational individuals with differing priors will tend to be relatively overconfident about their estimates and predictions, in the sense of overestimating the precision of these estimates. The intuition behind one... View Details
Keywords: Decision Choices and Conditions; Forecasting and Prediction; Knowledge Acquisition; Risk Management; Prejudice and Bias
Van den Steen, Eric J. "Overconfidence by Bayesian Rational Agents." Management Science 57, no. 5 (May 2011): 884–896.