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All HBS Web
(1,834)
- Faculty Publications (402)
- 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...
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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...
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- 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...
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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...
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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...
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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.)
- 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...
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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
Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)
- 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...
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- September 2020
- Case
Uber at a Crossroads (2017)
By: Ramon Casadesus-Masanell and Karen Elterman
This case describes the history of Uber, its business model—including the ways it differed from that of the traditional taxi industry—and its competition with Lyft. The case is set in 2017, a year in which Uber was plagued by even more scandals than usual, though its...
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Keywords:
Business Startups;
Business Model;
Customer Satisfaction;
Fairness;
Values and Beliefs;
Price;
Profit;
Revenue;
Investment;
Government Legislation;
Business History;
Compensation and Benefits;
Resignation and Termination;
Employment;
Wages;
Lawfulness;
Leadership Style;
Leading Change;
Management Style;
Market Entry and Exit;
Digital Platforms;
Product Design;
Organizational Culture;
Problems and Challenges;
Attitudes;
Strategy;
Competitive Strategy;
Expansion;
Transportation Networks;
Mobile and Wireless Technology;
Valuation;
Transportation Industry;
Technology Industry;
United States
Casadesus-Masanell, Ramon, and Karen Elterman. "Uber at a Crossroads (2017)." Harvard Business School Case 721-376, September 2020.
- September–October 2020
- Article
Managing Churn to Maximize Profits
By: Aurelie Lemmens and Sunil Gupta
Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability or their responsiveness to a...
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Keywords:
Churn Management;
Defection Prediction;
Loss Function;
Stochastic Gradient Boosting;
Customer Relationship Management;
Consumer Behavior;
Profit
Lemmens, Aurelie, and Sunil Gupta. "Managing Churn to Maximize Profits." Marketing Science 39, no. 5 (September–October 2020): 956–973.
- August 2020 (Revised March 2021)
- Case
Migros Turkey: Scaling Online Operations (A)
By: Antonio Moreno and Gamze Yucaoglu
The case opens in November 2019 as Ozgur Tort and Mustafa Bartin, CEO and chief large-format and online retail officer of Migros Ticaret A.S. (Migros), Turkey’s oldest and one of its largest supermarket chains, are contemplating what the best fulfillment format and...
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Keywords:
Retail;
Grocery;
Business Model;
Emerging Markets;
For-Profit Firms;
Strategy;
Digital Platforms;
Information Technology;
Technology Adoption;
Value Creation;
Globalization;
Competition;
Expansion;
Logistics;
Profit;
Resource Allocation;
Corporate Strategy;
Turkey
Moreno, Antonio, and Gamze Yucaoglu. "Migros Turkey: Scaling Online Operations (A)." Harvard Business School Case 621-026, August 2020. (Revised March 2021.)
- August 2020 (Revised February 2021)
- Case
Luckin Coffee (A): Caffeine-fueled Growth?
By: Ramon Casadesus-Masanell and Karen Elterman
This case describes the founding of Chinese coffee chain Luckin Coffee in 2017 and its path to surpassing Starbucks as the largest coffee chain in China (by number of stores) in 2019. Unlike Starbucks stores, which were designed to be welcoming “third places” for...
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Keywords:
Business Model;
Business Earnings;
Cost;
Cost Management;
Financial Statements;
Financial Condition;
Financial Management;
Stocks;
Profit;
Revenue;
Price;
Food;
Business History;
Employment;
Brands and Branding;
Product Positioning;
Marketing Strategy;
Business Strategy;
Expansion;
Competitive Strategy;
Food and Beverage Industry;
Technology Industry;
Asia;
China
Casadesus-Masanell, Ramon, and Karen Elterman. "Luckin Coffee (A): Caffeine-fueled Growth?" Harvard Business School Case 721-370, August 2020. (Revised February 2021.)
- August 2020
- Supplement
Luckin Coffee (B): Revelations of Fraud
By: Ramon Casadesus-Masanell and Karen Elterman
This case describes revelations of fraud at Luckin Coffee, beginning with an anonymous report in January 2020 and continuing with the company’s admission in April 2020 that it had inflated its revenues by 2.2 billion RMB ($310 million), almost half its reported...
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Keywords:
Fraud;
Corporate Misconduct;
Business Earnings;
Financial Statements;
Financial Condition;
Stocks;
Financial Management;
Profit;
Revenue;
Price;
Food;
Lawfulness;
Crime and Corruption;
Food and Beverage Industry;
Technology Industry;
Asia;
China
Casadesus-Masanell, Ramon, and Karen Elterman. "Luckin Coffee (B): Revelations of Fraud." Harvard Business School Supplement 721-371, August 2020.
- Article
Sustainability, Business, and Health
By: George Serafeim, Amanda M. Rischbieth and Howard K. Koh
The coronavirus disease 2019 (COVID-19) pandemic has demonstrated that response demands involvement from every sector of society. As a major example, some businesses have stepped up in ways previously unimaginable. Garment companies have repurposed production to face...
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Keywords:
COVID;
COVID-19;
Sustainability;
Health And Wellness;
Corporate Social Responsibility;
Health Pandemics;
Health;
Corporate Social Responsibility and Impact;
Corporate Accountability;
Health Care and Treatment
Serafeim, George, Amanda M. Rischbieth, and Howard K. Koh. "Sustainability, Business, and Health." JAMA, the Journal of the American Medical Association 324, no. 2 (July 14, 2020): 147–148.
- June 2020
- Case
What IKEA Do We Want?
By: Juan Alcácer, Cynthia A. Montgomery, Emilie Billaud and Vincent Dessain
In 2018, Swedish furniture maker IKEA was undergoing a significant transformation. Challenged by the rise of online shopping and changing consumer behavior, and mourning the death of its founder, the Company's top executives knew they had to step out of their comfort...
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Keywords:
Business Strategy;
Transformation;
Leading Change;
Mission and Purpose;
Business Model;
Emerging Markets;
Customer Focus and Relationships;
Organizational Culture;
Disruption;
Consumer Products Industry;
Retail Industry;
Europe;
Netherlands;
Sweden;
China;
India;
United States
Alcácer, Juan, Cynthia A. Montgomery, Emilie Billaud, and Vincent Dessain. "What IKEA Do We Want?" Harvard Business School Case 720-429, June 2020.
- June 2020
- Background Note
Customer Management Dynamics and Cohort Analysis
By: Elie Ofek, Barak Libai and Eitan Muller
The digital revolution has allowed companies to amass considerable amounts of data on their customers. Using this information to generate actionable insights is fast becoming a critical skill that firms must master if they wish to effectively compete and win in today’s...
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Keywords:
Cohort Analysis;
Customers;
Analytics and Data Science;
Segmentation;
Analysis;
Customer Value and Value Chain
Ofek, Elie, Barak Libai, and Eitan Muller. "Customer Management Dynamics and Cohort Analysis." Harvard Business School Background Note 520-122, June 2020.
- May 2020
- Article
Inventory Auditing and Replenishment Using Point-of-Sales Data
By: Achal Bassamboo, Antonio Moreno and Ioannis Stamatopoulos
Spoilage, expiration, damage due to employee/customer handling, employee theft, and customer shoplifting usually are not reflected in inventory records. As a result, records often report phantom inventory, i.e., units of good not available for sale. We derive an...
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Keywords:
Shelf Availability;
Inventory Record Inaccuracy;
Optimal Replenishment;
Retail Analytics;
Performance Effectiveness;
Analysis;
Mathematical Methods
Bassamboo, Achal, Antonio Moreno, and Ioannis Stamatopoulos. "Inventory Auditing and Replenishment Using Point-of-Sales Data." Production and Operations Management 29, no. 5 (May 2020): 1219–1231.
- April 2020 (Revised June 2022)
- Technical Note
Quantitative Analysis in Marketing
By: Sunil Gupta
Marketing is a combination of art and science that requires both qualitative and quantitative analysis to arrive at effective decisions. This note highlights how quantitative analysis can help in the following marketing decisions: estimating market size, determining...
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Gupta, Sunil. "Quantitative Analysis in Marketing." Harvard Business School Technical Note 520-091, April 2020. (Revised June 2022.)
- March 2020
- Case
Hotstar
By: Krishna G. Palepu and Kairavi Dey
Hotstar was an online video streaming platform owned by Star India Private Limited, a wholly owned subsidiary of the Walt Disney Corporation. Since its launch in 2015, the platform had grown to offer over 100,000 hours of TV content, movies in nine Indian languages...
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Keywords:
Corporate Entrepreneurship;
Television Entertainment;
Disruption;
Business Strategy;
Entertainment and Recreation Industry;
Media and Broadcasting Industry;
India;
Mumbai
Palepu, Krishna G., and Kairavi Dey. "Hotstar." Harvard Business School Case 120-015, March 2020.
- March 2020
- Teaching Note
onefinestay: Building a Luxury Experience in the Sharing Economy
By: Jill Avery and Anat Keinan
onefinestay was a two-sided marketplace that offered high-end home rentals to travelers who sought a more authentic and local experience than a typical upscale hotel might provide. After five years of rapid growth, it was time to do a comprehensive analysis of the...
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Keywords:
Two-sided Marketplace;
Two-sided Market;
Hospitality Industry;
Hotels;
Luxury Brand;
Sharing Economy;
Startup;
Scaling;
Growth;
Customer Segmentation;
Brand Positioning;
Marketing;
Marketing Strategy;
Brands and Branding;
Luxury;
Entrepreneurship;
Business Startups;
Business Model;
Venture Capital;
Customers;
Segmentation;
Growth and Development Strategy;
Travel Industry;
Tourism Industry;
Accommodations Industry;
United Kingdom;
London;
Europe
- March 2020 (Revised April 2020)
- Case
CarTrade
By: Rajiv Lal and Shreya Ramachandran
Vinay Sanghi, the founder and CEO of CarTrade, had been trying different business strategies to keep the company, which he founded in 2010 as an online marketplace for used and new cars, profitable and on track for growth. In a crowded and disorganized dealer...
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Keywords:
Online Marketplace;
Automobiles;
Customer Base;
Internet and the Web;
Growth and Development Strategy;
Business Model;
Financing and Loans;
E-commerce;
Digital Platforms;
Digital Marketing;
Auto Industry;
Retail Industry;
India;
Mumbai
Lal, Rajiv, and Shreya Ramachandran. "CarTrade." Harvard Business School Case 520-088, March 2020. (Revised April 2020.)