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  • All HBS Web  (1,145)
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    • Research  (741)
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Show Results For

  • All HBS Web  (1,145)
    • News  (193)
    • Research  (741)
    • Events  (8)
    • Multimedia  (18)
  • Faculty Publications  (496)
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  • May 18, 2020
  • Other Article

Media Bias? But Not What You Think It Is

By: Frank V. Cespedes
The media are often accused of political bias. But news outlets reflect many political beliefs in a fragmented media environment. However, an almost across-the-board bias is how news media talk about digital business, and the pandemic has exacerbated that bias, which... View Details
Keywords: Bias; Digital Business; Media; Disruption; Health Pandemics
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Cespedes, Frank V. "Media Bias? But Not What You Think It Is." Medium (May 18, 2020).
  • 10 Jan 2013
  • Working Paper Summaries

The Novelty Paradox & Bias for Normal Science: Evidence from Randomized Medical Grant Proposal Evaluations

Keywords: by Kevin J. Boudreau, Eva C. Guinan, Karim R. Lakhani & Christoph Riedl; Health
  • 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
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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.
  • 2024
  • Working Paper

Should I Stay or Should I Disclose? How Omission Bias Guides Our Disclosure Decisions

By: Elinora Pentcheva and Leslie John
Citation
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Pentcheva, Elinora, and Leslie John. "Should I Stay or Should I Disclose? How Omission Bias Guides Our Disclosure Decisions." Working Paper, December 2024.
  • 2018
  • Working Paper

Moral Prospection: Cognitive Bias and the Failure to Predict Moral Backlash Toward an Organization

By: J. Lees
Citation
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Lees, J. "Moral Prospection: Cognitive Bias and the Failure to Predict Moral Backlash Toward an Organization." Working Paper, November 2018.
  • 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
Keywords: Targeted Advertising; Algorithmic Data; Bias; Advertising; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
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Ascarza, Eva, and Ayelet Israeli. "Spreadsheet Supplement to Artea Teaching Note." Harvard Business School Spreadsheet Supplement 521-705, September 2020. (Revised June 2023.)
  • 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
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Margolis, Joshua D., and Anne Donnellon. "Sonia Millar: Negotiating for the C-Suite." Harvard Business School Brief Case 920-555, September 2019.
  • 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
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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

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
Keywords: Diversity Training; Bias; Field Experiment; Training; Gender; Race; Prejudice and Bias
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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.
  • Article

Overcoming the Outcome Bias: Making Intentions Matter

By: Ovul Sezer, Ting Zhang, Francesca Gino and Max Bazerman
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
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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.
  • 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
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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).
  • 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
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Ascarza, Eva, and Ayelet Israeli. "Artea (A), (B), (C), and (D): Designing Targeting Strategies." Harvard Business School PowerPoint Supplement 521-719, March 2021.
  • 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
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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.
  • 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
Citation
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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

By: Alexandra C. Feldberg
Allie's research focuses on diversity, gender, and knowledge within organizations. View Details
Keywords: Knowledge Transfer; Bias; Technology; Diversity; Gender; Demographics; Knowledge Dissemination; Knowledge Management; Knowledge Sharing; Banking Industry; Consumer Products Industry; Financial Services Industry; Retail Industry; Travel Industry
  • 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
Citation
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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
Citation
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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
Citation
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Enke, Benjamin, Thomas Graeber, and Ryan Oprea. "Complexity and Hyperbolic Discounting." Harvard Business School Working Paper, No. 24-048, February 2024.
  • October 2015 (Revised January 2017)
  • Exercise

Gender at Work

By: Boris Groysberg and Colleen Ammerman
Keywords: Gender Bias; Gender Stereotypes; Prejudice and Bias; Gender
Citation
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Groysberg, Boris, and Colleen Ammerman. "Gender at Work." Harvard Business School Exercise 416-026, October 2015. (Revised January 2017.)
  • 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
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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.
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