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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

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

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

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

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

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

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

September 2020 (Revised December 2021)
Case

Building India's 2.0: PayNearby

By: Lauren Cohen and Spencer C. N. Hagist

Headquartered in Mumbai, India, FinTech startup Nearby Technologies has seen its flagship brand, PayNearby, rapidly flourish across most of its target market within just four years. The unprecedented success of its payment app, which allows users to access banking... View Details

Keywords: Fintech; Developing Markets; Payments; Financial Inclusion; Finance; Entrepreneurship; Emerging Markets; Competitive Strategy; Banking Industry; India

September 2020
Case

Enabling Teamwork at the Cleveland Clinic

By: Amy C. Edmondson and Michaela J. Kerrissey

This case examines efforts to foster teamwork within and across work units in the Cleveland Clinic, a large, distributed healthcare delivery organization. With a long history of valuing teamwork since its founding in 1921, the Clinic had taken dramatic steps to further... View Details

Keywords: Teamwork; Teaming; Health Care; Health Care and Treatment; Groups and Teams; Health Industry; United States

September 2020 (Revised July 2022)
Supplement

Spreadsheet Supplement to "Artea: Designing Targeting Strategies"

By: Eva Ascarza and Ayelet Israeli

Spreadsheet Supplement to "Artea: Designing Targeting Strategies" (521-021). View Details

Keywords: Race; Gender; Marketing; Diversity; Customer Relationship Management; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

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

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

2020
Working Paper

Bankruptcy and the COVID-19 Crisis

By: Jialan Wang, Jeyul Yang, Benjamin Iverson and Raymond Kluender

We examine the impact of the COVID-19 economic crisis on business and consumer bankruptcies in the United States using real-time data on the universe of filings. Historically, bankruptcies have closely tracked the business cycle and contemporaneous unemployment rates.... View Details

Keywords: Bankruptcy; Financial Distress; COVID-19; Insolvency and Bankruptcy; Financial Crisis; Health Pandemics; United States

September 2020
Case

Blackstone: Crocs Investment

By: Victoria Ivashina, John D. Dionne and Terrence Shu

This case follows Prakash Melwani (HBS MBA '86), CIO of Blackstone's Private Equity Group, and his teams’ investment in the footwear company Crocs. Instead of a traditional secondary offering, Crocs opted for a unique deal structure by taking Blackstone's cash in a... View Details

Keywords: Private Investment In Public Equity; PIPE Deal; Investment; Brands and Branding; Strategy

September 2020
Case

Chip and Joanna Gaines' Magnolia Network

By: Anita Elberse and Julia McNicholas

Chip and Joanna Gaines, who have shot to fame as stars of the hit television show Fixer Upper, are preparing to launch their own television network. It is April 2019, a year since the home-renovation show Fixer Upper’s fifth season on cable channel HGTV ended, and more... View Details

Keywords: Entertainment; Television; Superstars; Innovation; Creative Industries; Talent; General Management; Celebrities; Television Entertainment; Entrepreneurship; Joint Ventures; Innovation and Invention; Marketing; Strategy; Entertainment and Recreation Industry; Media and Broadcasting Industry

24 Sep 2020
Other Presentation

Enhanced Party and Interest Mapping via Social Media

By: David A. Lax, James K. Sebenius and Ben Cook

September 24, 2020
Article

How to Build a Life: What to Do When the Future Feels Hopeless

By: Arthur C. Brooks

Register to Read

September 2020
Teaching Note

TransDigm in 2017: The Beginning of the End or the End of the Beginning?

By: Benjamin C. Esty and Daniel Fisher

Teaching Note for HBS Case No. 720-422. TransDigm was a highly acquisitive company that manufactured a wide range of highly engineered aerospace parts for both military and commercial customers. Over the ten years ending in 2016, its stock price had increase ten times,... View Details

September 2020
Case

Walmart Health: Scaling During a Pandemic

By: Robert S. Huckman, Yoonjin Min and Marissa Thiel

Amidst the onset of COVID-19 pandemic in the United States, Marcus Obsborne, Vice President for Health and Wellness Transformation at Walmart was planning to scale its new health care clinic business, Walmart Health, to additional locations in Georgia and beyond.... View Details

Keywords: Health Care and Treatment; Health Pandemics; Health; Service Delivery; Growth and Development Strategy; Health Industry; United States; Arkansas; Georgia (state, US); Texas

Editorial

We Need a COVID-19 D-Day—and the Leadership to Execute it

By: Nancy F. Koehn and Dutch Leonard

Keywords: COVID-19; Pandemic; Leadership; Leadership Style; United States

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