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(1,117)
- News (190)
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- Faculty Publications (498)
Show Results For
- All HBS Web
(1,117)
- News (190)
- Research (748)
- Events (8)
- Multimedia (18)
- Faculty Publications (498)
- 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).
- 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.
- 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.
- 10 Oct 2014
- News
Ending Gender Discrimination Requires More than a Training Program
- 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.)
- March 2021
- Supplement
Applied: Using Behavioral Science to Debias Hiring (B)
By: Ashley Whillans and Jeff Polzer
At the end of 2018, Applied faced questions of stakeholder management and scale. Glazebrook wanted clients to get rid of CVs altogether. To do this, they would have to help hiring managers and recruiters easily build task-based assessments of the skills that their... View Details
Keywords: Hiring; Bias; Behavioral Science; Selection and Staffing; Prejudice and Bias; Information Technology; Competency and Skills
Whillans, Ashley, and Jeff Polzer. "Applied: Using Behavioral Science to Debias Hiring (B)." Harvard Business School Supplement 921-047, March 2021.
- March 2021 (Revised September 2021)
- Case
Applied: Using Behavioral Science to Debias Hiring
By: Ashley Whillans and Jeff Polzer
The UK government’s Behavioural Insights Team (BIT) needed to hire a new associate and were trying to increase the diversity of their job candidates. This decision was based on academic research showing that recruiters and managers often fell into common traps like... View Details
Keywords: Hiring; Bias; Behavioral Science; Selection and Staffing; Diversity; Prejudice and Bias; Information Technology; Recruitment
Whillans, Ashley, and Jeff Polzer. "Applied: Using Behavioral Science to Debias Hiring." Harvard Business School Case 921-046, March 2021. (Revised September 2021.) (https://www.beapplied.com/.)
- 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.
- Article
Temporal View of the Costs and Benefits of Self-Deception
By: Zoe Chance, Michael I. Norton, Francesca Gino and Dan Ariely
Researchers have documented many cases in which individuals rationalize their regrettable actions. Four experiments examine situations in which people go beyond merely explaining away their misconduct to actively deceiving themselves. We find that those who exploit... View Details
Keywords: Hindsight Bias; Lying; Motivated Reasoning; Self-enhancement; Social Psychology; Perception; Performance Expectations
Chance, Zoe, Michael I. Norton, Francesca Gino, and Dan Ariely. "Temporal View of the Costs and Benefits of Self-Deception." Proceedings of the National Academy of Sciences 108, no. S3 (September 13, 2011): 15655–15659.
- 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.
- 2023
- Chapter
Marketing Through the Machine’s Eyes: Image Analytics and Interpretability
By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia, 217–238. Review of Marketing Research. Emerald Publishing Limited, 2023.
- 2016
- Working Paper
PathBreakers? Women's Electoral Success and Future Political Participation
By: Sonia Bhalotra, Irma Clots-Figueras and Lakshmi Iyer
We investigate whether the event of a woman being competitively elected as a state legislator encourages the subsequent political participation of women, using a regression discontinuity design on constituency level data from India. We find that female incumbents are... View Details
Keywords: Political Participation; Women; Candidates; Gender Bias; Backlash; Minority Representation; Regression Discontinuity; India; Prejudice and Bias; Political Elections; Gender; Public Administration Industry; India
Bhalotra, Sonia, Irma Clots-Figueras, and Lakshmi Iyer. "PathBreakers? Women's Electoral Success and Future Political Participation." Harvard Business School Working Paper, No. 14-035, November 2013. (Revised January 2016.)
- December 2023
- Article
Brokerage Relationships and Analyst Forecasts: Evidence from the Protocol for Broker Recruiting
By: Braiden Coleman, Michael Drake, Joseph Pacelli and Brady Twedt
In this study, we offer novel evidence on how the nature of brokerage-client relationships can influence the quality of equity research. We exploit a unique setting provided by the Protocol for Broker Recruiting to examine whether relaxed broker non-compete agreement... View Details
Keywords: Brokers; Analysts; Forecasts; Bias; Protocol; Investment; Research; Forecasting and Prediction
Coleman, Braiden, Michael Drake, Joseph Pacelli, and Brady Twedt. "Brokerage Relationships and Analyst Forecasts: Evidence from the Protocol for Broker Recruiting." Review of Accounting Studies 28, no. 4 (December 2023): 2075–2103.
- 2013
- Other Unpublished Work
Comments on Commitments in AT.39740 — Google
By: Benjamin Edelman
I evaluate the remedies in Google's proposed Commitments, and I propose additional remedies to more fully address the Commission's concerns. View Details
Keywords: Competition; Regulation; Google; Bias; Deterrence; Law; Internet; Search Technology; Technology Networks; European Union
Edelman, Benjamin. "Comments on Commitments in AT.39740 — Google." May 2013. (Comments to European Commission — DG Comp.)