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- January 19, 2021
- Article
How to Be a 'Glass-Shattering' Organization
By: Colleen Ammerman and Boris Groysberg
Advancing gender equality is certainly desirable, but may not seem vital during this turbulent time — yet that assumption couldn’t be further from the truth. In fact, losing sight of gender equity right now is likely to put you at a real disadvantage when the pandemic... View Details
Keywords: Gender Equity; Gender Inclusivity; Gender; Equality and Inequality; Organizational Change and Adaptation
Ammerman, Colleen, and Boris Groysberg. "How to Be a 'Glass-Shattering' Organization." Harvard Business Review Digital Articles (January 19, 2021).
- January 2021
- Teaching Note
Shellye Archambeau: Becoming a CEO
By: Tsedal Neeley
Teaching Note for HBS Nos. 420-071 and 420-073. View Details
- 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
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.
- December 2020 (Revised April 2021)
- Teaching Note
Women Entrepreneurs and Tech Ecosystems: One City, Two Realities, and Four Diverse Women
By: Rosabeth Moss Kanter and Joyce J. Kim
Four diverse women entrepreneurs launched their ventures in a thriving entrepreneurial ecosystem that was part of a shift to a creative technology-driven economy for Miami. Although Miami was rated the #1 U.S. city for startups in 2017, the region contained structural... View Details
Keywords: Women; Racism; Black Entrepreneurs; Entrepreneurship; Diversity; Gender; Race; Prejudice and Bias; Innovation and Invention; City; Culture; Miami
- December 2020
- Supplement
Video Interview with Felecia Hatcher
By: Rosabeth M. Kanter and Joyce J. Kim
Four diverse women entrepreneurs launched their ventures in a thriving entrepreneurial ecosystem that was part of a shift to a creative technology-driven economy for Miami. Although Miami was rated the #1 U.S. city for startups in 2017, the region contained structural... View Details
Keywords: Entrepreneurial Ecosystems; Female Entrepreneur; Sexism; Racism; Entrepreneurship; Business Startups; Diversity; Gender; Race; Prejudice and Bias; City; Culture; Miami
Kanter, Rosabeth M., and Joyce J. Kim. "Video Interview with Felecia Hatcher." Harvard Business School Multimedia/Video Supplement 321-703, December 2020.
- December 2020
- Supplement
Video Interview with Maxeme Tuchman
By: Rosabeth M. Kanter and Joyce J. Kim
Four diverse women entrepreneurs launched their ventures in a thriving entrepreneurial ecosystem that was part of a shift to a creative technology-driven economy for Miami. Although Miami was rated the #1 U.S. city for startups in 2017, the region contained structural... View Details
Keywords: Entrepreneurial Ecosystems; Female Entrepreneur; Racism; Sexism; Entrepreneurship; Business Startups; Diversity; Gender; Race; Prejudice and Bias; City; Culture; Miami
Kanter, Rosabeth M., and Joyce J. Kim. "Video Interview with Maxeme Tuchman." Harvard Business School Multimedia/Video Supplement 321-702, December 2020.
- December 2020
- Supplement
Video Interview with Pandwe Gibson
By: Rosabeth M. Kanter and Joyce J. Kim
Four diverse women entrepreneurs launched their ventures in a thriving entrepreneurial ecosystem that was part of a shift to a creative technology-driven economy for Miami. Although Miami was rated the #1 U.S. city for startups in 2017, the region contained structural... View Details
Keywords: Female Entrepreneur; Entrepreneurial Ecosystems; Sexism; Racism; Entrepreneurship; Business Startups; Diversity; Gender; Race; Prejudice and Bias; City; Culture; Miami
Kanter, Rosabeth M., and Joyce J. Kim. "Video Interview with Pandwe Gibson." Harvard Business School Multimedia/Video Supplement 321-704, December 2020.
- December 2020
- Supplement
Video Interview with Rebecca Fishman Lipsey
By: Rosabeth M. Kanter and Joyce Kim
Four diverse women entrepreneurs launched their ventures in a thriving entrepreneurial ecosystem that was part of a shift to a creative technology-driven economy for Miami. Although Miami was rated the #1 U.S. city for startups in 2017, the region contained structural... View Details
Keywords: Entrepreneurial Ecosystems; Female Entrepreneur; Racism; Sexism; Entrepreneurship; Business Startups; Diversity; Gender; Race; Prejudice and Bias; City; Culture; Miami
Kanter, Rosabeth M., and Joyce Kim. "Video Interview with Rebecca Fishman Lipsey." Harvard Business School Multimedia/Video Supplement 321-705, December 2020.
- November–December 2021
- 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
Proserpio, Davide, Isamar Troncoso, and Francesca Valsesia. "Does Gender Matter? The Effect of Management Responses on Reviewing Behavior." Marketing Science 40, no. 6 (November–December 2021): 1199–1213.
- November 3, 2020
- Article
Gender Differences in COVID-19 Attitudes and Behavior: Panel Evidence from Eight Countries
By: Vincenzo Galasso, Vincent Pons, Paola Profeta, Michael Becher, Sylvain Brouard and Martial Foucault
Using original data from two waves of a survey conducted in March and April 2020 in eight OECD countries (N = 21,649), we show that women are more likely to see COVID-19 as a very serious health problem, to agree with restraining public policy measures adopted in... View Details
Galasso, Vincenzo, Vincent Pons, Paola Profeta, Michael Becher, Sylvain Brouard, and Martial Foucault. "Gender Differences in COVID-19 Attitudes and Behavior: Panel Evidence from Eight Countries." Proceedings of the National Academy of Sciences 117, no. 44 (November 3, 2020).
- November–December 2020
- Article
Getting Serious About Diversity: Enough Already with the Business Case
By: Robin Ely and David A. Thomas
Leaders may mean well when they tout the economic payoffs of hiring more women and people of color, but there is no research support for the notion that diversifying the workforce automatically improves a company’s performance. This article critiques the popular... View Details
Ely, Robin, and David A. Thomas. "Getting Serious About Diversity: Enough Already with the Business Case." Harvard Business Review 98, no. 6 (November–December 2020): 114–122. (Winner, McKinsey Best Paper Award, 2021. Winner, Academy of Management, Organizational Behavior Division, Outstanding Practitioner-Orientated Publication in OB, 2021.)
- Article
Going It Alone: Competition Increases the Attractiveness of Minority Status
By: Erika L. Kirgios, Edward H. Chang and Katherine L. Milkman
Past research demonstrates that people prefer to affiliate with others who resemble them demographically. However, we posit that when competing for scarce opportunities, strategic considerations moderate the strength of this tendency toward homophily. Across six... View Details
Kirgios, Erika L., Edward H. Chang, and Katherine L. Milkman. "Going It Alone: Competition Increases the Attractiveness of Minority Status." Organizational Behavior and Human Decision Processes 161 (November 2020): 20–33.
- October 2020 (Revised April 2021)
- Case
Women Entrepreneurs and Tech Ecosystems: One City, Two Realities, and Four Diverse Women
By: Rosabeth Moss Kanter and Joyce J. Kim
Four diverse women entrepreneurs launched their ventures in a thriving entrepreneurial ecosystem that was part of a shift to a creative technology-driven economy for Miami. Although Miami was rated the #1 U.S. city for startups in 2017, the region contained structural... View Details
Keywords: Female Entrepreneur; Entrepreneurial Ecosystems; Inclusion; Innovation & Entrepreneurship; Racism; Sexism; Start-up; Entrepreneurship; Business Startups; Diversity; Gender; Race; Prejudice and Bias; Innovation and Invention; City; Culture; Miami
Kanter, Rosabeth Moss, and Joyce J. Kim. "Women Entrepreneurs and Tech Ecosystems: One City, Two Realities, and Four Diverse Women." Harvard Business School Case 321-083, October 2020. (Revised April 2021.)
- September 2020
- Case
The Black New Venture Competition
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
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)
- 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
- 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
Israeli, Ayelet, and Eva Ascarza. "Algorithmic Bias in Marketing." Harvard Business School Technical Note 521-020, September 2020. (Revised July 2022.)
- 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
- 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
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
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
Ascarza, Eva, and Ayelet Israeli. "Artea (D): Discrimination through Algorithmic Bias in Targeting." Harvard Business School Exercise 521-043, September 2020. (Revised July 2022.)