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 : (37) Arrow Down
Filter Results : (37) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (146)
    • Faculty Publications  (37)

    Show Results For

    • All HBS Web  (146)
      • Faculty Publications  (37)

      Gender Discrimination Remove Gender Discrimination →

      Page 1 of 37 Results →

      Are you looking for?

      → Search All HBS Web
      • May 2022
      • Article

      When Harry Fired Sally: The Double Standard in Punishing Misconduct

      By: Mark Egan, Gregor Matvos and Amit Seru
      We examine gender differences in misconduct punishment in the financial advisory industry. We find evidence of a “gender punishment gap”: following an incident of misconduct, female advisers are 20% more likely to lose their jobs and 30% less likely to find new jobs...  View Details
      Keywords: Financial Advisers; Brokers; Gender Discrimination; Consumer Finance; Financial Misconduct And Fraud; FINRA; Financial Institutions; Employees; Crime and Corruption; Gender; Prejudice and Bias; Personal Finance; Financial Services Industry
      Citation
      Find at Harvard
      Read Now
      Related
      Egan, Mark, Gregor Matvos, and Amit Seru. "When Harry Fired Sally: The Double Standard in Punishing Misconduct." Journal of Political Economy 130, no. 5 (May 2022): 1184–1248.
      • April 2022
      • Case

      Marsha Simms: Trailblazer in Corporate Law

      By: Robin Ely, Boris Groysberg, Colleen Ammerman and Olivia Hull
      Follows the journey of lawyer Marsha Simms from her childhood in racially-segregated St. Louis to the upper echelons of the New York legal community. Describes her education, career choices, accomplishments, and setbacks. Highlights significant moments such as her...  View Details
      Keywords: Leadership; Career; Career Management; Diversity; Inclusion; Equity; Gender; Race; Corporate Finance; Law; Leadership Development; Personal Development and Career; Relationships; Power and Influence; Social and Collaborative Networks; Status and Position; Social Issues; Legal Services Industry; United States; New York (state, US)
      Citation
      Educators
      Purchase
      Related
      Ely, Robin, Boris Groysberg, Colleen Ammerman, and Olivia Hull. "Marsha Simms: Trailblazer in Corporate Law." Harvard Business School Case 422-012, April 2022.
      • Article

      Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)

      By: Eva Ascarza and Ayelet Israeli

      An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”...  View Details

      Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods
      Citation
      Read Now
      Related
      Ascarza, Eva, and Ayelet Israeli. "Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)." e2115126119. Proceedings of the National Academy of Sciences 119, no. 11 (March 8, 2022).
      • September 2021
      • Case

      Francoise Brougher (A)

      By: Edward H. Chang, Nour Kteily and Kathleen McGinn
      Francoise Brougher was a high-powered technology executive in Silicon Valley. After successful stints at Google (where she rose to lead a $16 billion ad sales business) and Square (which she helped take public), she joined Pinterest as its first Chief Operating Officer...  View Details
      Keywords: Gender Discrimination; Personal Development and Career; Gender; Prejudice and Bias; Resignation and Termination; Negotiation
      Citation
      Educators
      Purchase
      Related
      Chang, Edward H., Nour Kteily, and Kathleen McGinn. "Francoise Brougher (A)." Harvard Business School Case 922-016, September 2021.
      • August 2021
      • Case

      Zoom Video Communications: Building a Culture of Diversity, Equity, & Inclusion During COVID-19

      By: Karen G. Mills, Scott Duke Kominers, Christopher Stanton, Andy Wu, George Gonzalez and Gabriella Elanbeck
      Keywords: Diversity Management; Diversity Training; Cultural Change; Cultural Diversity; Inclusion; Inclusive Growth; Inclusive Hiring; Hiring; Hiring Of Employees; Recruiting; Performance Management; Change Leadership; Race And Ethnicity; Racial Bias; Racial Disparity; Racial Injustice; Racial Tensions; Racism; Organization; Organization Process; Organization Structure; Structural/institutional Racism; Leadership And Change Management; Leadership And Managing People; Leading; Gender Bias; Discrimination; Inequalities; Inequality; Social Change; Employee Attitude Development And Empowerment; Employee Bonding; Employee Empowerment; Employee Engagement; Employee Fairness; Employee Morale; Employee Performance Management; Employee Relations; Company Culture; Company Values; Values; COVID-19 Pandemic; Demographics; Diversity; Age; Ethnicity; Gender; Business Processes; Change Management; Change; Race; Human Capital; Human Resources; Compensation and Benefits; Employees; Employee Relationship Management; Recruitment; Retention; Selection and Staffing; Jobs and Positions; Job Interviews; Leadership; Leading Change; Management; Management Teams; Business or Company Management; Crisis Management; Goals and Objectives; Growth and Development; Growth and Development Strategy; Growth Management; Management Style; Organizational Change and Adaptation; Organizational Culture; Organizational Design; Organizational Structure; Organizations; Mission and Purpose; Culture; Happiness; Prejudice and Bias; Satisfaction; Equity; Identity; Leadership Style; Values and Beliefs; Technology Industry; United States
      Citation
      Educators
      Related
      Mills, Karen G., Scott Duke Kominers, Christopher Stanton, Andy Wu, George Gonzalez, and Gabriella Elanbeck. "Zoom Video Communications: Building a Culture of Diversity, Equity, & Inclusion During COVID-19." Harvard Business School Case 322-031, August 2021.
      • June 2021
      • Article

      The Role of Beliefs in Driving Gender Discrimination

      By: Katherine B. Coffman, Christine L. Exley and Muriel Niederle
      While there is ample evidence of discrimination against women in the workplace, it can be difficult to understand what factors contribute to discriminatory behavior. We use an experiment to both document discrimination and unpack its sources. First, we show that, on...  View Details
      Keywords: Gender Discrimination; Behavioral Decision Making; Gender; Attitudes; Prejudice and Bias; Economics; Behavior; Decision Making
      Citation
      Find at Harvard
      Read Now
      Related
      Coffman, Katherine B., Christine L. Exley, and Muriel Niederle. "The Role of Beliefs in Driving Gender Discrimination." Management Science 67, no. 6 (June 2021).
      • May–June 2021
      • Article

      How to Close the Gender Gap

      By: Colleen Ammerman and Boris Groysberg
      Most companies say they’re committed to advancing women into leadership roles. What they may fail to recognize, though, is that systemic barriers are holding women back. As a result, women remain disadvantaged at every stage of their employment and underrepresented in...  View Details
      Keywords: Gender Discrimination; Employment; Gender; Prejudice and Bias; Talent and Talent Management; Organizational Change and Adaptation
      Citation
      Find at Harvard
      Related
      Ammerman, Colleen, and Boris Groysberg. "How to Close the Gender Gap." Harvard Business Review 99, no. 3 (May–June 2021): 124–133.
      • 2021
      • Working Paper

      Venture Capital's 'Me Too' Moment

      By: Sophie Calder-Wang, Paul A. Gompers and Patrick Sweeney
      In this paper, we document the historically low rate of hiring of women in the venture capital sector. We find that the high-profile Ellen Pao v. Kleiner Perkins gender discrimination trial had dramatic treatment effects. In difference-in-differences regressions, we...  View Details
      Keywords: Gender Discrimination; Founders; Venture Capital; Selection and Staffing; Gender; Lawsuits and Litigation
      Citation
      Find at Harvard
      Read Now
      Related
      Calder-Wang, Sophie, Paul A. Gompers, and Patrick Sweeney. "Venture Capital's 'Me Too' Moment." NBER Working Paper Series, No. 28679, April 2021.
      • 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.
      • March 2021
      • Teaching Plan

      The Black New Venture Competition

      By: Karen G. Mills, Jeffrey J. Bussgang, Martin A. Sinozich and Gabriella Elanbeck
      Black entrepreneurs encounter many unique obstacles when raising capital to start and grow a business, some stemming from deep systemic discrimination. During their second year at Harvard Business School (HBS), MBA students Kimberly Foster and Tyler Simpson decided to...  View Details
      Keywords: Analytics; Startup; Start-up; Startup Financing; Financing; Startups; Start-ups; Business And Community; Business And Society; Business Growth; Discrimination; Women; Women-owned Businesses; African Americans; African-american Entrepreneurs; African-american Investors; African-American Protagonist; African-American Women; Early Stage Funding; Early Stage; Innovation & Entrepreneurship; Innovation Competitions; Entrepreneurial Financing; Business Plan; Business Startups; Diversity; Gender; Race; Entrepreneurship; Venture Capital; Small Business; Leadership; Information Technology; Competition
      Citation
      Purchase
      Related
      Mills, Karen G., Jeffrey J. Bussgang, Martin A. Sinozich, and Gabriella Elanbeck. "The Black New Venture Competition." Harvard Business School Teaching Plan 821-094, March 2021.
      • November–December 2020
      • Article

      Does Gender Matter? The Effect of Management Responses on Reviewing Behavior

      By: Davide Proserpio, Isamar Troncoso and Francesca Valsesia
      We study the effect of management responses on the reviewing behavior of self-identified female and male reviewers. Using data from Tripadvisor, we show that after hotels begin to respond to reviews, the probability that a negative review comes from a self-identified...  View Details
      Keywords: Word Of Mouth; Online Reviews; Management Responses; E-commerce; Gender; Prejudice and Bias; Digital Platforms; Customers
      Citation
      SSRN
      Find at Harvard
      Related
      Proserpio, Davide, Isamar Troncoso, and Francesca Valsesia. "Does Gender Matter? The Effect of Management Responses on Reviewing Behavior." Special Issue on Marketing Science and Field Experiments. Marketing Science 39, no. 6 (November–December 2020).
      • September 2020
      • Case

      The Black New Venture Competition

      By: Karen Mills, Jeffrey J. Bussgang, Martin Sinozich and Gabriella Elanbeck
      Black entrepreneurs encounter many unique obstacles when raising capital to start and grow a business. During their second year at Harvard Business School (HBS), MBA students Kimberly Foster and Tyler Simpson decided to do something to make a difference for...  View Details
      Keywords: Startup; Start-up; Startup Financing; Startups; Start-ups; African-American Protagonist; African-american Entrepreneurs; African-american Investors; African-Americans; African-American Women; Black Leadership; Black Inventors; Black Entrepreneurs; Harvard Business School; Harvard; Business And Society; Early Stage Funding; Early Stage Finance; Technology Entrepreneurship; Discrimination; Technology Ventures; Entrepreneurial Finance; Entrepreneurial Financing; Business Plan; Business Startups; Business Ventures; Financing and Loans; Business Growth and Maturation; Diversity; Gender; Race; Entrepreneurship; Venture Capital; Small Business; Leadership; Information Technology; Competition; Technology Industry
      Citation
      Educators
      Purchase
      Related
      Mills, Karen, Jeffrey J. Bussgang, Martin Sinozich, and Gabriella Elanbeck. "The Black New Venture Competition." Harvard Business School Case 821-029, September 2020.
      • September 2020 (Revised July 2022)
      • Technical Note

      Algorithmic Bias in Marketing

      By: Ayelet Israeli and Eva Ascarza
      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 product—characterizing the marketing...  View Details
      Keywords: Algorithmic Data; Race And Ethnicity; Promotion; "Marketing Analytics"; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeting; Targeted Advertising; Pricing Algorithms; Ethical Decision Making; Customer Heterogeneity; Marketing; Race; Ethnicity; Gender; Diversity; Prejudice and Bias; Marketing Communications; Analytics and Data Science; Analysis; Decision Making; Ethics; Customer Relationship Management; E-commerce; Retail Industry; Apparel and Accessories Industry; United States
      Citation
      Educators
      Purchase
      Related
      Israeli, Ayelet, and Eva Ascarza. "Algorithmic Bias in Marketing." Harvard Business School Technical Note 521-020, September 2020. (Revised July 2022.)
      • September 2020 (Revised July 2022)
      • 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 July 2022.)
      • 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.)
      • September 2020 (Revised July 2022)
      • Exercise

      Artea (C): Potential Discrimination through Algorithmic Targeting

      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; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
      Citation
      Purchase
      Related
      Ascarza, Eva, and Ayelet Israeli. "Artea (C): Potential Discrimination through Algorithmic Targeting." Harvard Business School Exercise 521-037, September 2020. (Revised July 2022.)
      • September 2020 (Revised July 2022)
      • Exercise

      Artea (D): Discrimination through Algorithmic Bias in Targeting

      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: Targeted Advertising; Discrimination; Algorithmic Data; Bias; Advertising; Race; Gender; Marketing; Diversity; 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 (D): Discrimination through Algorithmic Bias in Targeting." Harvard Business School Exercise 521-043, September 2020. (Revised July 2022.)
      • September 2020 (Revised April 2021)
      • Exercise

      Artea: Designing Targeting Strategies

      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: Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; "Marketing Analytics"; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analytics; Data Analysis; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Targeting; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
      Citation
      Purchase
      Related
      Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised April 2021.)
      • September 2020 (Revised July 2022)
      • Supplement

      Spreadsheet Supplement to Artea (B) and (C)

      By: Eva Ascarza and Ayelet Israeli
      Spreadsheet Supplement to "Artea (B): Including Customer-level Demographic Data" and "Artea (C): Potential Discrimination through Algorithmic Targeting"  View Details
      Keywords: Gender; Race; Diversity; Marketing; 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. "Spreadsheet Supplement to Artea (B) and (C)." Harvard Business School Spreadsheet Supplement 521-704, September 2020. (Revised July 2022.)
      • September 2020 (Revised July 2022)
      • 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 July 2022.)
      • 1
      • 2
      • →

      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