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Show Results For
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All HBS Web
(415)
- News (22)
- Research (362)
- Multimedia (1)
- Faculty Publications (287)
- 2011
- Article
Bias in Search Results?: Diagnosis and Response
By: Benjamin Edelman
I explore allegations of search engine bias, including understanding a search engine's incentives to bias results, identifying possible forms of bias, and evaluating methods of verifying whether bias in fact occurs. I then consider possible legal and policy responses,...
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Keywords:
Prejudice and Bias;
Motivation and Incentives;
Outcome or Result;
Markets;
Legal Liability;
Policy;
Search Technology;
Performance Evaluation;
Governing Rules, Regulations, and Reforms
Edelman, Benjamin. "Bias in Search Results?: Diagnosis and Response." Indian Journal of Law and Technology 7 (2011): 16–32.
- April 2021 (Revised April 2021)
- Teaching Plan
Nehemiah Mfg. Co.: Providing a Second Chance
By: Brian Trelstad and John Masko
Teaching Plan for HBS Case No. 320-008. In 2009, Dan Meyer and Richard Palmer, two veterans of the fast-moving consumer goods (FMCG) industry, founded Nehemiah Manufacturing to build FMCG brands while providing jobs to Cincinnati, Ohio’s beleaguered urban core. Two...
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- August 2006
- Article
Predicting Returns with Managerial Decision Variables: Is There a Small-Sample Bias?
By: Malcolm Baker, Ryan Taliaferro and Jeffrey Wurgler
Many studies find that aggregate managerial decision variables, such as aggregate equity issuance, predict stock or bond market returns. Recent research argues that these findings may be driven by an aggregate time-series version of Schultz's (2003, Journal of Finance...
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Keywords:
Prejudice and Bias;
Fairness;
Managerial Roles;
Management Analysis, Tools, and Techniques;
Equity;
Bonds;
Financial Markets;
Investment;
Capital Markets;
Borrowing and Debt;
Investment Return
Baker, Malcolm, Ryan Taliaferro, and Jeffrey Wurgler. "Predicting Returns with Managerial Decision Variables: Is There a Small-Sample Bias?" Journal of Finance 61, no. 4 (August 2006): 1711–1730. (Section V of "Pseudo Market Timing and Predictive Regressions, NBER Working Paper Series, No. 10823, contains additional analyses.)
- 06 Jan 2017
- News
Mental Illness and the Workplace
that, prejudice and discrimination will go down. So we now, have over 80 leaders in over 25 US cities and Canada, who are taking their message out-- whether it be through social media or speaking engagements-- to help people understand...
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- February 2010
- Article
Conflict of Interest and the Intrusion of Bias
By: Don A. Moore, Lloyd Tanlu and Max Bazerman
This paper presents evidence of performance persistence in entrepreneurship. We show that entrepreneurs with a track record of success are much more likely to succeed than first-time entrepreneurs and those who have previously failed. In particular, they exhibit...
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Keywords:
Conflict of Interests;
Prejudice and Bias;
Performance;
Entrepreneurship;
Market Timing;
Competency and Skills;
Perception;
Business Startups;
Resource Allocation
Moore, Don A., Lloyd Tanlu, and Max Bazerman. "Conflict of Interest and the Intrusion of Bias." Judgment and Decision Making 5, no. 1 (February 2010): 37–53.
- November–December 2023
- Article
Look the Part? The Role of Profile Pictures in Online Labor Markets
By: Isamar Troncoso and Lan Luo
Profile pictures are a key component of many freelancing platforms, a design choice that can impact hiring and matching outcomes. In this paper, we examine how appearance-based perceptions of a freelancer’s fit for the job (i.e., whether a freelancer "looks the part"...
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Keywords:
Freelancers;
Gig Workers;
Demographics;
Prejudice and Bias;
Selection and Staffing;
Jobs and Positions;
Analytics and Data Science
Troncoso, Isamar, and Lan Luo. "Look the Part? The Role of Profile Pictures in Online Labor Markets." Marketing Science 42, no. 6 (November–December 2023): 1080–1100.
- Article
Fighting Bias on the Front Lines
By: Alexandra C. Feldberg and Tami Kim
Most companies aim for exceptional customer service, but too few are attentive to the subtle discrimination by frontline employees that can alienate customers, lead to lawsuits, or even cause lasting brand damage by going viral.
This article presents research... View Details
This article presents research... View Details
Keywords:
Customer Service;
Customer Focus and Relationships;
Service Delivery;
Diversity;
Prejudice and Bias;
Organizational Change and Adaptation
Feldberg, Alexandra C., and Tami Kim. "Fighting Bias on the Front Lines." Harvard Business Review 99, no. 6 (November–December 2021): 90–98.
- 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...
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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.)
- 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"
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- September 2004
- Article
Rational Overoptimism (and Other Biases)
Rational agents with differing priors tend to be overoptimistic about their chances of success. In particular, an agent who tries to choose the action that is most likely to succeed, is more likely to choose an action of which he overestimated, rather than...
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Keywords:
Prejudice and Bias;
Decision Choices and Conditions;
Performance Expectations;
Outcome or Result;
Opportunities;
Risk and Uncertainty;
Failure;
Success;
Management Analysis, Tools, and Techniques;
Personal Characteristics;
Values and Beliefs;
Ethics
Van den Steen, Eric J. "Rational Overoptimism (and Other Biases)." American Economic Review 94, no. 4 (September 2004): 1141–1151.
- July 2019
- Teaching Note
Arlan Hamilton and Backstage Capital
By: Laura Huang
Teaching Note for HBS No. 419-029. Frustrated by an inability to convince existing venture capital firms to invest in companies led by women, people of color, and LGBT founders, Arlan Hamilton started her own firm, Backstage Capital, in 2015. Hamilton understood the...
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- 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...
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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...
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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...
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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.
- 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...
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Keywords:
Prejudice and Bias;
Business or Company Management;
Supply Chain Management;
Forecasting and Prediction;
Planning;
Electronics Industry
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.)
- November 2007
- Case
Differences at Work: Alex (A)
By: Sandra J. Sucher and Rachel Gordon
At an interview for his dream job, Alex has been asked an inappropriate question by the interviewer. How will Alex handle the situation? Should he accept the position is offered?
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Keywords:
Prejudice and Bias;
Behavior;
Job Interviews;
Ethics;
Human Resources;
Diversity;
Power and Influence
Sucher, Sandra J., and Rachel Gordon. "Differences at Work: Alex (A)." Harvard Business School Case 408-011, November 2007.
- March 2024
- Case
Unintended Consequences of Algorithmic Personalization
By: Eva Ascarza and Ayelet Israeli
“Unintended Consequences of Algorithmic Personalization” (HBS No. 524-052) investigates algorithmic bias in marketing through four case studies featuring Apple, Uber, Facebook, and Amazon. Each study presents scenarios where these companies faced public criticism for...
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Keywords:
Race;
Gender;
Marketing;
Diversity;
Customer Relationship Management;
Prejudice and Bias;
Customization and Personalization;
Technology Industry;
Retail Industry;
United States
Ascarza, Eva, and Ayelet Israeli. "Unintended Consequences of Algorithmic Personalization." Harvard Business School Case 524-052, March 2024.
- 2012
- Working Paper
When Performance Trumps Gender Bias: Joint versus Separate Evaluation
By: Iris Bohnet, Alexandra van Geen and Max H. Bazerman
We examine a new intervention to overcome gender biases in hiring, promotion, and job assignments: an "evaluation nudge," in which people are evaluated jointly rather than separately regarding their future performance. Evaluators are more likely to focus on individual...
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Keywords:
Prejudice and Bias;
Selection and Staffing;
Behavior;
Groups and Teams;
Decision Making;
Performance Evaluation;
Gender
Bohnet, Iris, Alexandra van Geen, and Max H. Bazerman. "When Performance Trumps Gender Bias: Joint versus Separate Evaluation." Harvard Business School Working Paper, No. 12-083, March 2012.
- 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....
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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.
- September 2020 (Revised July 2022)
- Teaching Note
Algorithmic Bias in Marketing
By: Ayelet Israeli and Eva Ascarza
Teaching Note for HBS No. 521-020. This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and...
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