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- January 2022
- Background Note
Native American Incarceration
By: Reshmaan Hussam, Sophus A. Reinert and Jordan Naylor
In the early twenty-first century the Native American populations of the United States continued to live with the legacy of colonialism, ethnic cleansing, and cultural destruction. Although other minority groups had increasingly been able to make their voices heard,... View Details
- 2022
- Working Paper
Feeling Seen: Leader Eye Gaze Promotes Psychological Safety, Participation, and Voice
By: Nicole Abi-Esber, Alison Wood Brooks and Ethan Burris
Psychological safety is a hallmark of effective team functioning. Although prior work shows that characteristics of the leader influence employee judgments of psychological safety (and subsequent decisions to speak up), we know very little about “the specific behaviors... View Details
- November 2021 (Revised March 2022)
- Case
Pacesetters
By: Jeffrey J. Bussgang and Mel Martin
City Sealcoating CEO Keith Chaney had just publicly called out the Boston Chamber of Commerce for their slow progress on their supplier diversity program, Pacesetters. Established in 2018 by regional business leaders, Pacesetters was supposed to facilitate... View Details
Keywords: Racial Wealth Gap; Procurement; Suppliers; Diversity; Programs; Small Business; Restructuring; Contracts; United States; Boston
- 2021
- Working Paper
Most Individuals Prefer to Compromise among Competing Normative Principles of Taxation
By: Itai Sher and Matthew C. Weinzierl
We use a novel survey to gather direct and indirect evidence on how individuals reconcile their simultaneous support for opposing normative principles when forming their policy preferences. Our evidence suggests that, when choosing policy, a minority (approximately... View Details
- September 2021
- Article
Gender Stereotypes in Deliberation and Team Decisions
By: Katherine B. Coffman, Clio Bryant Flikkema and Olga Shurchkov
We explore how groups deliberate and decide on ideas in an experiment with communication. We find that gender biases play a significant role in which group members are chosen to answer on behalf of the group. Conditional on the quality of their ideas, individuals are... View Details
- September 2021
- Article
Shaking Things Up: Disruptive Events and Inequality
By: Letian Zhang
This paper develops a theory of how disruptive events could reduce racial and gender inequality in organizations. Despite pressure from regulators and advocates, racial and gender inequality in the workplace remains high. I theorize that because such inequality is... View Details
- April 2021
- Case
JPMorgan Chase's Path Forward
By: Joseph L. Bower, Nien-hê Hsieh and Michael Norris
In 2020, JPMorgan Chase announced a $30 billion Commitment to Advance Racial Equity. The Commitment included investments in housing, small businesses, and financial literacy across the U.S., and diversity, equity, and inclusion within the bank. It was part of a broader... View Details
- 2021
- Article
Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring
By: Tom Sühr, Sophie Hilgard and Himabindu Lakkaraju
Ranking algorithms are being widely employed in various online hiring platforms including LinkedIn, TaskRabbit, and Fiverr. Prior research has demonstrated that ranking algorithms employed by these platforms are prone to a variety of undesirable biases, leading to the... View Details
- 2021
- Article
Fair Influence Maximization: A Welfare Optimization Approach
By: Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice and Milind Tambe
Several behavioral, social, and public health interventions, such as suicide/HIV prevention or community preparedness against natural disasters, leverage social network information to maximize outreach. Algorithmic influence maximization techniques have been proposed... View Details
- 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
- 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
- October 2020
- Case
HOPE and Transformational Lending: Netflix Invests in Black Led Banks
By: John D. Macomber and Janice Broome Brooks
Following the killing of George Floyd on Memorial Day in 2020, the large US corporation Netflix elected to make a "transformational deposit" of $10 million into Hope Credit Union (HCU), a small Black led community development finance institution (CDFI) based in... View Details
- 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
- 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
- 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
- September 2020 (Revised June 2023)
- 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; Algorithmic Bias; 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
- 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
- September 2020
- Teaching Plan
Harlem Capital: Changing the Face of Entrepreneurship
By: George Serafeim
Jarrid Tingle and Henri Pierre-Jacques had spent the summer between their first and second years of their MBA program fund raising for their start-up venture capital (VC) firm, Harlem Capital Partners. Harlem Capital was founded upon the principle that addressing the... View Details
Keywords: Venture Capital Firm Compensation; Entrepreneurial Finance; Entrepreneurial Financing; Black Entrepreneurs; Black Leadership; Black Inventors; Inclusion; Minority-owned Businesses; Race And Ethnicity; Race Characteristics; Entrepreneurship; Venture Capital; Diversity; Race; Gender; Mission and Purpose; Social Enterprise; Financial Services Industry; United States
- August 2020
- Article
Does Spending Money on Others Promote Happiness? A Registered Replication Report
By: Lara B. Aknin, Elizabeth W. Dunn, Jason Proulx, Iris Lok and Michael I. Norton
Research indicates that spending money on others—prosocial spending—leads to greater happiness than spending money on oneself (e.g., Dunn, Aknin, & Norton, 2008, 2014). These findings have received widespread attention because they offer insight into why people engage... View Details