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: (381) Arrow Down
Filter Results: (381) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (433)
    • News  (20)
    • Research  (381)
    • Multimedia  (1)
  • Faculty Publications  (302)

Show Results For

  • All HBS Web  (433)
    • News  (20)
    • Research  (381)
    • Multimedia  (1)
  • Faculty Publications  (302)
← Page 16 of 381 Results →
Sort by

Are you looking for?

→Search All HBS Web
  • September 2020 (Revised February 2024)
  • Teaching Note

Artea (A), (B), (C), and (D): Designing Targeting Strategies

By: Eva Ascarza and Ayelet Israeli
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 A/B testing analysis and... View Details
Keywords: Targeted Advertising; Targeting; 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. "Artea (A), (B), (C), and (D): Designing Targeting Strategies." Harvard Business School Teaching Note 521-041, September 2020. (Revised February 2024.)
  • 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? View Details
Keywords: Prejudice and Bias; Behavior; Job Interviews; Ethics; Human Resources; Diversity; Power and Influence
Citation
Educators
Purchase
Related
Sucher, Sandra J., and Rachel Gordon. "Differences at Work: Alex (A)." Harvard Business School Case 408-011, November 2007.
  • 28 Oct 2008
  • First Look

First Look: October 28, 2008

appearance of prejudice during social interaction is to avoid talking about race, or even acknowledging racial difference. Four experiments involving a dyadic task investigated antecedents and consequences of this tendency. Observed... View Details
Keywords: Martha Lagace
  • 2008
  • Working Paper

Hiring Cheerleaders: Board Appointments of 'Independent' Directors

By: Lauren Cohen, Andrea Frazzini and Christopher J. Malloy
We test the hypothesis that firms appoint independent directors who are overly sympathetic to management, while still technically independent according to regulatory definitions. We explore a subset of independent directors for whom we have detailed, micro-level data... View Details
Keywords: Competency and Skills; Governing Rules, Regulations, and Reforms; Governing and Advisory Boards; Managerial Roles; Prejudice and Bias
Citation
Read Now
Related
Cohen, Lauren, Andrea Frazzini, and Christopher J. Malloy. "Hiring Cheerleaders: Board Appointments of 'Independent' Directors." NBER Working Paper Series, No. 14232, August 2008.
  • 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... View Details
Keywords: Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Customization and Personalization; Technology Industry; Retail Industry; United States
Citation
Educators
Purchase
Related
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... View Details
Keywords: Prejudice and Bias; Selection and Staffing; Behavior; Groups and Teams; Decision Making; Performance Evaluation; Gender
Citation
Read Now
Related
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

By: Richard S. Ruback
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.... View Details
Keywords: Forecasting and Prediction; Cash Flow; Cost of Capital; Performance Expectations; Prejudice and Bias; Valuation
Citation
Read Now
Related
Ruback, Richard S. "Valuation When Cash Flow Forecasts Are Biased." Harvard Business School Working Paper, No. 11-036, October 2010.
  • April 2025
  • Article

The Impact of Minority Representation at Mortgage Lenders

By: W. Scott Frame, Ruidi Huang, Erica Jiang, Yeonjoon Lee, Will Liu, Erik J. Mayer and Adi Sunderam
We study links between the labor market for loan officers and access to mortgage credit. Using novel data matching the (near) universe of mortgage applications to loan officers, we find that minorities are significantly underrepresented among loan officers. Minority... View Details
Keywords: Household Finance; Demographic Economics; Financial Institutions; Diversity; Prejudice and Bias; Mortgages; Personal Finance
Citation
Find at Harvard
Read Now
Purchase
Related
Frame, W. Scott, Ruidi Huang, Erica Jiang, Yeonjoon Lee, Will Liu, Erik J. Mayer, and Adi Sunderam. "The Impact of Minority Representation at Mortgage Lenders." Journal of Finance 80, no. 2 (April 2025): 1209–1260.
  • March 2014
  • Teaching Note

Uptake of Rapid Diagnostic Tests: A Development Challenge

By: Nava Ashraf, Andrew Boozary and Kristin Johnson
Keywords: Developing Countries and Economies; Health Pandemics; Technology; Health Care and Treatment; Policy; Behavior; Prejudice and Bias; Zambia
Citation
Purchase
Related
Ashraf, Nava, Andrew Boozary, and Kristin Johnson. "Uptake of Rapid Diagnostic Tests: A Development Challenge." Harvard Business School Teaching Note 914-042, March 2014.
  • February 1975 (Revised April 2002)
  • Case

Elizabeth Best (A)

By: Wickham Skinner and Ardis Burst
New political appointee with years of volunteer experience takes over highly responsible job in state government and is met with bureaucratic resistance. View Details
Keywords: Government Administration; Organizational Structure; Attitudes; Groups and Teams; Human Resources; Jobs and Positions; Prejudice and Bias; Public Administration Industry
Citation
Educators
Purchase
Related
Skinner, Wickham, and Ardis Burst. "Elizabeth Best (A)." Harvard Business School Case 675-123, February 1975. (Revised April 2002.)
  • 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.
  • 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... View Details
Keywords: Marketing; Race; Ethnicity; Gender; Diversity; Prejudice and Bias; Decision Making; Ethics; Customer Relationship Management; Retail Industry; Technology Industry; Apparel and Accessories Industry; United States
Citation
Purchase
Related
Israeli, Ayelet, and Eva Ascarza. "Algorithmic Bias in Marketing." Harvard Business School Teaching Note 521-035, September 2020. (Revised July 2022.)
  • February 2023
  • Teaching Note

Colette Phillips and GetKonnected: Creating Inclusive Ecosystems

By: Rosabeth M. Kanter and Ai-Ling Jamila Malone
Teaching Note for HBS Case No. 323-035. View Details
Keywords: Diversity; Ecosystem; Inclusion; People Of Color; Network; Racial Bias; Gender Bias; Entrepreneur; Entrepreneurial Ecosystems; Change; Change Barriers; Change Leadership; Community; Innovation; Pandemic; Impact; Systemic Racism; Minority-owned Businesses; Social and Collaborative Networks; Equity; Race; Small Business; Prejudice and Bias; Boston
Citation
Purchase
Related
Kanter, Rosabeth M., and Ai-Ling Jamila Malone. "Colette Phillips and GetKonnected: Creating Inclusive Ecosystems." Harvard Business School Teaching Note 323-074, February 2023.
  • 2021
  • Working Paper

Bollywood, Skin Color and Sexism: The Role of the Film Industry in Emboldening and Contesting Stereotypes in India after Independence

By: Sudev Sheth, Geoffrey Jones and Morgan Spencer
This working paper examines the social impact of the film industry in India during the first four decades after Indian Independence in 1947. It shows that Bollywood, the mainstream cinema in India and the counterpart in scale to Hollywood in the United States, shared... View Details
Keywords: Film Industry; Bollywood; Tamil Cinema; Male Gaze; Social Impact; Stereotypes; Oral History; Film Entertainment; Gender; Race; Personal Characteristics; Prejudice and Bias; Business History; Motion Pictures and Video Industry; India
Citation
Read Now
Related
Sheth, Sudev, Geoffrey Jones, and Morgan Spencer. "Bollywood, Skin Color and Sexism: The Role of the Film Industry in Emboldening and Contesting Stereotypes in India after Independence." Harvard Business School Working Paper, No. 21-077, January 2021.
  • November, 2016
  • Article

Fixing Discrimination in Online Marketplaces

By: Ray Fisman and Michael Luca
Online marketplaces such as eBay, Uber, and Airbnb have the potential to reduce racial, gender, and other forms of bias that affect the off-line world. And in the early days of Internet commerce, the relative anonymity of transactions did make it harder for... View Details
Keywords: Prejudice and Bias; Digital Platforms; Internet and the Web; Race; Gender
Citation
Find at Harvard
Register to Read
Related
Fisman, Ray, and Michael Luca. "Fixing Discrimination in Online Marketplaces." Harvard Business Review 94, no. 12 (November, 2016): 88–95.
  • 2006
  • Chapter

Stereotype Content and Relative Group Status Across Cultures

By: S.T. Fiske and A.J.C. Cuddy
Keywords: Cross-Cultural and Cross-Border Issues; Prejudice and Bias; Status and Position; Groups and Teams
Citation
Read Now
Related
Fiske, S.T., and A.J.C. Cuddy. "Stereotype Content and Relative Group Status Across Cultures." In Social Comparison Processes and Levels of Analysis: Understanding Culture, Intergroup Relations and Cognition, edited by S. Guimond, 249–263. Cambridge University Press, 2006.
  • July 1977
  • Article

Social Roles, Social Control and Biases in Social Perception Processes

By: L. D. Ross, T. M. Amabile and J. Steinmetz
To make accurate social judgments, an individual must both recognize and adequately correct for the self-presentation advantages or disadvantages conferred upon actors by their social roles. Two experiments using 120 undergraduates examined social perceptions formed... View Details
Keywords: Perception; Prejudice and Bias; Social Psychology; Judgments; Power and Influence; Status and Position; Situation or Environment
Citation
Find at Harvard
Purchase
Related
Ross, L. D., T. M. Amabile, and J. Steinmetz. "Social Roles, Social Control and Biases in Social Perception Processes." Journal of Personality and Social Psychology 35, no. 7 (July 1977): 485–494.
  • Article

Stereotype Content Model across Cultures: Universal Similarities and Some Differences

By: A.J.C. Cuddy, S.T. Fiske, V.S.Y. Kwan, P. Glick, S. Demoulin, J. Ph. Leyens and M.H. Bond
The stereotype content model (SCM; Fiske, Cuddy, Glick, & Xu, 2002) proposes potentially universal principles of societal stereotypes and their relation to social structure. Here, the SCM reveals theoretically grounded, cross-cultural, cross-groups' similarities and... View Details
Keywords: Cross-Cultural and Cross-Border Issues; Management Analysis, Tools, and Techniques; Relationships; Groups and Teams; Prejudice and Bias; Culture; Societal Protocols; East Asia; Europe
Citation
Find at Harvard
Read Now
Related
Cuddy, A.J.C., S.T. Fiske, V.S.Y. Kwan, P. Glick, S. Demoulin, J. Ph. Leyens, and M.H. Bond. "Stereotype Content Model across Cultures: Universal Similarities and Some Differences." British Journal of Social Psychology 48, no. 1 (March 2009).
  • January 2008
  • Article

Innovation Killers: How Financial Tools Destroy Your Capacity to Do New Things

By: Clayton M. Christensen, Stephen P. Kaufman and Willy C. Shih
Most companies aren't half as innovative as their senior executives want them to be (or as their marketing claims suggest they are). What's stifling innovation? There are plenty of usual suspects, but the authors finger three financial tools as key accomplices.... View Details
Keywords: Investment; Innovation and Management; Growth and Development Strategy; Business and Shareholder Relations; Prejudice and Bias; Value Creation
Citation
Find at Harvard
Related
Christensen, Clayton M., Stephen P. Kaufman, and Willy C. Shih. "Innovation Killers: How Financial Tools Destroy Your Capacity to Do New Things." Special Issue on HBS Centennial. Harvard Business Review 86, no. 1 (January 2008).
  • 06 Aug 2024
  • Op-Ed

What the World Could Learn from America's Immigration Backlash—100 Years Ago

Immigration will be a central issue in the upcoming US presidential election, just as it motivated the recent snap elections in France. After all, the number of migrants rose 27 percent to 281 million globally in 2020, compared with 2010, according to United Nations... View Details
Keywords: by Marco Tabellini
  • ←
  • 16
  • 17
  • 18
  • 19
  • 20
  • →

Are you looking for?

→Search All HBS Web
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.