Skip to Main Content
HBS Home
  • About
  • Academic Programs
  • Alumni
  • Faculty & Research
  • Baker Library
  • Giving
  • Harvard Business Review
  • Initiatives
  • News
  • Recruit
  • Map / Directions
Faculty & Research
  • Faculty
  • Research
  • Featured Topics
  • Academic Units
  • …→
  • Harvard Business School→
  • Faculty & Research→
  • Research
    • Research
    • Publications
    • Global Research Centers
    • Case Development
    • Initiatives & Projects
    • Research Services
    • Seminars & Conferences
    →
  • Publications→

Publications

Publications

Filter Results: (1,117) Arrow Down
Filter Results: (1,117) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (1,117)
    • News  (193)
    • Research  (748)
    • Events  (8)
    • Multimedia  (18)
  • Faculty Publications  (496)

Show Results For

  • All HBS Web  (1,117)
    • News  (193)
    • Research  (748)
    • Events  (8)
    • Multimedia  (18)
  • Faculty Publications  (496)
← Page 7 of 1,117 Results →
  • 26 Apr 2018
  • Video

2018 G&WS: A Conversation with David M. Porter on Implicit Bias

  • 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
Citation
Purchase
Related
Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)
  • 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
Citation
Read Now
Related
Cespedes, Frank V. "Media Bias? But Not What You Think It Is." Medium (May 18, 2020).
  • Article

Whites See Racism as a Zero-Sum Game That They Are Now Losing

By: Michael I. Norton and Samuel R. Sommers
Although some have heralded recent political and cultural developments as signaling the arrival of a post-racial era in America, several legal and social controversies regarding "reverse racism" highlight Whites' increasing concern about anti-White bias. We show that... View Details
Keywords: Racism; Zero-sum Game; Bias; Affirmative Action; Prejudice and Bias; Race; Social Issues; United States
Citation
Find at Harvard
Read Now
Purchase
Related
Norton, Michael I., and Samuel R. Sommers. "Whites See Racism as a Zero-Sum Game That They Are Now Losing." Perspectives on Psychological Science 6, no. 3 (May 2011): 215–218.
  • 2023
  • Working Paper

Auditing Predictive Models for Intersectional Biases

By: Kate S. Boxer, Edward McFowland III and Daniel B. Neill
Predictive models that satisfy group fairness criteria in aggregate for members of a protected class, but do not guarantee subgroup fairness, could produce biased predictions for individuals at the intersection of two or more protected classes. To address this risk, we... View Details
Keywords: Predictive Models; Bias; AI and Machine Learning
Citation
Read Now
Related
Boxer, Kate S., Edward McFowland III, and Daniel B. Neill. "Auditing Predictive Models for Intersectional Biases." Working Paper, June 2023.
  • 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
  • 2024
  • Working Paper

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

By: Elinora Pentcheva and Leslie John
Citation
Related
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
Related
Lees, J. "Moral Prospection: Cognitive Bias and the Failure to Predict Moral Backlash Toward an Organization." Working Paper, November 2018.
  • 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
Citation
Find at Harvard
Read Now
Related
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.
  • 05 Nov 2019
  • News

Women face bias in promotions, raises. What they need to know to ace their year-end review

  • 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
Citation
Purchase
Related
Ascarza, Eva, and Ayelet Israeli. "Spreadsheet Supplement to Artea Teaching Note." Harvard Business School Spreadsheet Supplement 521-705, September 2020. (Revised June 2023.)
  • 29 Jun 2015
  • News

Facebook COO Sheryl Sandberg offers Tsinghua University grads 4 sound lessons in leadership

Keywords: gender bias
  • 19 Jun 2020
  • News

Leaders, Stop Denying the Gender Inequity in Your Organization

Keywords: gender bias
  • 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
Citation
Educators
Purchase
Related
Margolis, Joshua D., and Anne Donnellon. "Sonia Millar: Negotiating for the C-Suite." Harvard Business School Brief Case 920-555, September 2019.
  • 08 Mar 2022
  • News

Gender Equity at Work Advances at 'Glacial Pace,' New Harvard Survey Shows

Keywords: gender bias
  • 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
Citation
Find at Harvard
Register to Read
Related
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
Citation
Read Now
Related
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
Citation
Purchase
Related
Ascarza, Eva, and Ayelet Israeli. "Artea (A), (B), (C), and (D): Designing Targeting Strategies." Harvard Business School PowerPoint Supplement 521-719, March 2021.
  • 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
Citation
Read Now
Related
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).
  • 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
Citation
Find at Harvard
Related
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.
  • ←
  • 7
  • 8
  • …
  • 55
  • 56
  • →
ǁ
Campus Map
Harvard Business School
Soldiers Field
Boston, MA 02163
→Map & Directions
→More Contact Information
  • Make a Gift
  • Site Map
  • Jobs
  • Harvard University
  • Trademarks
  • Policies
  • Accessibility
  • Digital Accessibility
Copyright © President & Fellows of Harvard College.