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(1,133)
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Show Results For
- All HBS Web
(1,133)
- News (185)
- Research (730)
- Events (5)
- Multimedia (18)
- Faculty Publications (486)
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- 2018
- Working Paper
Moral Prospection: Cognitive Bias and the Failure to Predict Moral Backlash Toward an Organization
By: J. Lees
- 2008
- Article
Warmth and Competence As Universal Dimensions of Social Perception: The Stereotype Content Model and the BIAS Map
By: A. J.C. Cuddy, S. T. Fiske and P. Glick
The stereotype content model (SCM) defines two fundamental dimensions of social perception, warmth and competence, predicted respectively by perceived competition and status. Combinations of warmth and competence generate distinct emotions of admiration, contempt,... View Details
Keywords: Perception; Competency and Skills; Prejudice and Bias; Emotions; Business Model; Behavior; Research; Competition; Status and Position; Cognition and Thinking; Groups and Teams
Cuddy, A. J.C., S. T. Fiske, and P. Glick. "Warmth and Competence As Universal Dimensions of Social Perception: The Stereotype Content Model and the BIAS Map." Advances in Experimental Social Psychology 40 (2008): 61–149.
- September 2020 (Revised June 2023)
- Supplement
Spreadsheet Supplement to Artea Teaching Note
By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to Artea Teaching Note 521-041. 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... View Details
- June 18, 2021
- Article
Who Do We Invent for? Patents by Women Focus More on Women's Health, but Few Women Get to Invent
By: Rembrand Koning, Sampsa Samila and John-Paul Ferguson
Women engage in less commercial patenting and invention than do men, which may affect what is invented. Using text analysis of all U.S. biomedical patents filed from 1976 through 2010, we found that patents with all-female inventor teams are 35% more likely than... View Details
Keywords: Innovation; Gender Bias; Health; Innovation and Invention; Research; Patents; Gender; Prejudice and Bias
Koning, Rembrand, Sampsa Samila, and John-Paul Ferguson. "Who Do We Invent for? Patents by Women Focus More on Women's Health, but Few Women Get to Invent." Science 372, no. 6548 (June 18, 2021): 1345–1348.
- Article
Overcoming the Outcome Bias: Making Intentions Matter
People often make the well-documented mistake of paying too much attention to the outcomes of others’ actions while neglecting information about the original intentions leading to those outcomes. In five experiments, we examine interventions aimed at reducing this... View Details
Keywords: Outcome Bias; Intentions; Joint Evaluation; Judgment; Separate Evaluation; Goals and Objectives; Prejudice and Bias; Judgments; Performance Evaluation; Outcome or Result
Sezer, Ovul, Ting Zhang, Francesca Gino, and Max Bazerman. "Overcoming the Outcome Bias: Making Intentions Matter." Organizational Behavior and Human Decision Processes 137 (November 2016): 13–26.
- September 2019
- Case
Sonia Millar: Negotiating for the C-Suite
By: Joshua D. Margolis and Anne Donnellon
This case addresses the nuances of gender dynamics and career progression at the top of the organization, where even women who have strong leadership expertise, experience, and alliances with powerful male colleagues still get stuck. Told from the point of view of... View Details
Keywords: Executives; CEO; Promotion; Gender Bias; Personal Development and Career; Gender; Diversity; Power and Influence
Margolis, Joshua D., and Anne Donnellon. "Sonia Millar: Negotiating for the C-Suite." Harvard Business School Brief Case 920-555, September 2019.
- Article
The Mixed Effects of Online Diversity Training
By: Edward H. Chang, Katherine L. Milkman, Dena M. Gromet, Robert W. Rebele, Cade Massey, Angela L. Duckworth and Adam M. Grant
We present results from a large (n = 3,016) field experiment at a global organization testing whether a brief science-based online diversity training can change attitudes and behaviors toward
women in the workplace. Our preregistered field experiment included an... View Details
Chang, Edward H., Katherine L. Milkman, Dena M. Gromet, Robert W. Rebele, Cade Massey, Angela L. Duckworth, and Adam M. Grant. "The Mixed Effects of Online Diversity Training." Proceedings of the National Academy of Sciences 116, no. 16 (April 16, 2019): 7778–7783.
- March 2021
- Supplement
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Power Point Supplement to Teaching Note for HBS No. 521-021,521-022,521-037,521-043. 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... View Details
Keywords: Targeted Advertising; Targeting; Algorithmic Data; Bias; A/B Testing; Experiment; Advertising; Gender; Race; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
- 2015
- Working Paper
Blinded by Experience: Prior Experience, Negative News and Belief Updating
By: Bradley R. Staats, Diwas S. KC and Francesca Gino
Traditional models of operations management involve dynamic decision-making assuming optimal (Bayesian) updating. However, behavioral theory suggests that individuals exhibit bias in their beliefs and decisions. We conduct both a field study and two laboratory studies... View Details
Keywords: Behavioral Operations; Egocentric Bias; Experience; Healthcare Operations; Prejudice and Bias; Behavior; Operations; Decision Making; Health Care and Treatment
Staats, Bradley R., Diwas S. KC, and Francesca Gino. "Blinded by Experience: Prior Experience, Negative News and Belief Updating." Harvard Business School Working Paper, No. 16-015, August 2015.
- September 2018
- Article
Do Experts or Crowd-Based Models Produce More Bias? Evidence from Encyclopædia Britannica and Wikipedia
By: Shane Greenstein and Feng Zhu
Organizations today can use both crowds and experts to produce knowledge. While prior work compares the accuracy of crowd-produced and expert-produced knowledge, we compare bias in these two models in the context of contested knowledge, which involves subjective,... View Details
Keywords: Online Community; Collective Intelligence; Wisdom Of Crowds; Bias; Wikipedia; Britannica; Knowledge Production; Knowledge Sharing; Knowledge Dissemination; Prejudice and Bias
Greenstein, Shane, and Feng Zhu. "Do Experts or Crowd-Based Models Produce More Bias? Evidence from Encyclopædia Britannica and Wikipedia." MIS Quarterly 42, no. 3 (September 2018): 945–959.
- 2013
- Article
Inflated Applicants: Attribution Errors in Performance Evaluation by Professionals
By: S. A. Swift, D. Moore, Z. Sharek and F. Gino
When explaining others' behaviors, achievements, and failures, it is common for people to attribute too much influence to disposition and too little influence to structural and situational factors. We examine whether this tendency leads even experienced professionals... View Details
Keywords: Evaluations; Correspondence Bias; Selection Decisions; Attribution; Prejudice and Bias; Selection and Staffing; Decision Choices and Conditions; Performance Evaluation; Cognition and Thinking
Swift, S. A., D. Moore, Z. Sharek, and F. Gino. "Inflated Applicants: Attribution Errors in Performance Evaluation by Professionals." e69258. PLoS ONE 8, no. 7 (July 2013).
- Research Summary
Overview
Allie's research focuses on diversity, gender, and knowledge within organizations. View Details
- July 2021 (Revised October 2023)
- Case
K.C. Li: The Tungsten King
By: Geoffrey Jones and Casey Verkamp
This case examines the business career of Kuo-Ching Li, who was born in China in 1892, and built a successful minerals trading business called Wah Chang in the United States during the interwar years. He acquired a prominent role in tungsten, the strongest natural... View Details
Keywords: Immigration Acts; Racial Bias; Globalization; Government and Politics; Business History; Entrepreneurship; Business and Government Relations; Mining Industry; China; United States; Latin America
Jones, Geoffrey, and Casey Verkamp. "K.C. Li: The Tungsten King." Harvard Business School Case 322-024, July 2021. (Revised October 2023.)
- 2013
- Other Unpublished Work
Comments on Commitments in AT.39740 — Google
By: Benjamin Edelman and Zhenyu Lai
We evaluate Google's proposed Commitments in light of our research on the effects of Google Flight Search on traffic to competing online travel agencies. View Details
Keywords: Competition; Regulation; Google; Bias; Law; Internet; Search Technology; Technology Networks; European Union
Edelman, Benjamin, and Zhenyu Lai. "Comments on Commitments in AT.39740 — Google." May 2013. (Comments to European Commission - DG Comp.)
- 2023
- Working Paper
Complexity and Hyperbolic Discounting
By: Benjamin Enke, Thomas Graeber and Ryan Oprea
A large literature shows that people discount financial rewards hyperbolically instead of exponentially. While discounting of money has been questioned as a measure of time preferences, it continues to be highly relevant in empirical practice and predicts a wide range... View Details
Keywords: Hyperbolic Discounting; Present Bias; Bounded Rationality; Cognitive Uncertainty; Behavioral Finance
Enke, Benjamin, Thomas Graeber, and Ryan Oprea. "Complexity and Hyperbolic Discounting." Harvard Business School Working Paper, No. 24-048, February 2024.
- September 17, 2021
- Article
AI Can Help Address Inequity—If Companies Earn Users' Trust
By: Shunyuan Zhang, Kannan Srinivasan, Param Singh and Nitin Mehta
While companies may spend a lot of time testing models before launch, many spend too little time considering how they will work in the wild. In particular, they fail to fully consider how rates of adoption can warp developers’ intent. For instance, Airbnb launched a... View Details
Keywords: Artificial Intelligence; Algorithmic Bias; Technological Innovation; Perception; Diversity; Equality and Inequality; Trust; AI and Machine Learning
Zhang, Shunyuan, Kannan Srinivasan, Param Singh, and Nitin Mehta. "AI Can Help Address Inequity—If Companies Earn Users' Trust." Harvard Business Review Digital Articles (September 17, 2021).
- Article
Price and Quality Decisions by Self-Serving Managers
By: Marco Bertini, Daniel Halbheer and Oded Koenigsberg
We present a theory of price and quality decisions by managers who are self-serving. In the theory, firms stress the price or quality of their products, but not both. Accounting for this, managers exploit any uncertainty about the cause of market outcomes to credit... View Details
Keywords: Causal Reasoning; Self-serving Bias; Strategic Orientation; Managerial Decision-making; Price; Quality; Decision Making; Theory
Bertini, Marco, Daniel Halbheer, and Oded Koenigsberg. "Price and Quality Decisions by Self-Serving Managers." International Journal of Research in Marketing 37, no. 2 (June 2020): 236–257.
- October 2015 (Revised January 2017)
- Exercise
Gender at Work
By: Boris Groysberg and Colleen Ammerman
Groysberg, Boris, and Colleen Ammerman. "Gender at Work." Harvard Business School Exercise 416-026, October 2015. (Revised January 2017.)
- Article
Physician–patient Racial Concordance and Disparities in Birthing Mortality for Newborns
By: Brad N. Greenwood, Rachel R. Hardeman, Laura Huang and Aaron Sojourner
Recent work has emphasized the benefits of patient–physician concordance on clinical care outcomes for underrepresented minorities, arguing it can ameliorate outgroup biases, boost communication, and increase trust. We explore concordance in a setting where racial... View Details
Greenwood, Brad N., Rachel R. Hardeman, Laura Huang, and Aaron Sojourner. "Physician–patient Racial Concordance and Disparities in Birthing Mortality for Newborns." Proceedings of the National Academy of Sciences 117, no. 35 (September 1, 2020): 21194–21200.
- April 2017
- Article
Racial Discrimination in the Sharing Economy: Evidence from a Field Experiment
By: Benjamin Edelman, Michael Luca and Daniel Svirsky
In an experiment on Airbnb, we find that applications from guests with distinctively African-American names are 16% less likely to be accepted relative to identical guests with distinctively White names. Discrimination occurs among landlords of all sizes, including... View Details
Keywords: Discrimination; Field Experiment; Bias; Airbnb; Prejudice and Bias; Race; Accommodations Industry
Edelman, Benjamin, Michael Luca, and Daniel Svirsky. "Racial Discrimination in the Sharing Economy: Evidence from a Field Experiment." American Economic Journal: Applied Economics 9, no. 2 (April 2017): 1–22.