Publications
Publications
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- All HBS Web
(1,685)
- Faculty Publications (317)
- 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
- 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
- November 2020
- Article
Tackling Youth Unemployment: Evidence from a Labor Market Experiment in Uganda
By: Livia Alfonsi, Oriana Bandiera, Vittorio Bassi, Robin Burgess, Imran Rasul, Munshi Sulaiman and Anna Vitali
We design a labor market experiment to compare demand- and supply-side policies to tackle youth unemployment, a key issue in low-income countries. The experiment tracks 1700 workers and 1500 firms over four years to compare the effect of offering workers either... View Details
- November 2020
- Article
Taxation in Matching Markets
By: Arnaud Dupuy, Alfred Galichon, Sonia Jaffe and Scott Duke Kominers
We analyze the effects of taxation in two-sided matching markets, i.e., markets in which all agents have heterogeneous preferences over potential partners. In matching markets, taxes can generate inefficiency on the allocative margin by changing who is matched to whom,... View Details
- 2022
- Working Paper
The Stock Market Value of Human Capital Creation
By: Matthias Regier and Ethan Rouen
We develop a measure of firm-year-specific human capital investment from publicly disclosed personnel expenses (PE) and examine the stock market valuation of this investment. Measuring the future value of PE (PEFV) based on the relation between lagged... View Details
- 2022
- Working Paper
Flight to Safety: How Economic Downturns Affect Talent Flows to Startups
By: Shai Bernstein, Richard Townsend and Ting Xu
Using proprietary data from AngelList Talent, we study how individuals’ job search and application behavior changed during the COVID-19 downturn. We find that job seekers shifted their searches toward more established firms and away from early-stage startups, even... 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
- 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 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
- 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
- 2020
- Working Paper
(When) Does Appearance Matter? Evidence from a Randomized Controlled Trial
By: Prithwiraj Choudhury, Tarun Khanna, Christos A. Makridis and Subhradip Sarker
While there is evidence about labor market discrimination based on race, religion, and gender, we know little about whether physical appearance leads to discrimination in labor market outcomes. We deploy a randomized experiment on 1,000 respondents in India between... View Details
- 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... View Details
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
- 2020
- Working Paper
Consumers Punish Firms That Cut Employee Pay in Response to COVID-19
By: Bhavya Mohan, Serena Hagerty and Michael Norton
Two experiments, including one incentive compatible study, examine the impact of cutting pay for executives versus employees in response to COVID-19 on consumer behavior. Study 1 explores the effect of announcing cuts or no cuts to CEO and employee pay, and shows that... View Details
- 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... View Details
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
- July 2020 (Revised July 2023)
- Case
Live Nation and Pharrell Williams
By: Anita Elberse and Kate Christensen
“We’re in business together, and whether we lose a few million dollars or make a few million dollars, let’s do this. If you think you can pull it off, I’m behind you.” Michael Rapino, chief executive officer of Live Nation, the world’s leading live entertainment... View Details
- 2021
- Working Paper
Digital Labor Market Inequality and the Decline of IT Exceptionalism
By: Ruiqing Cao and Shane Greenstein
Several decades of expansion in digital communications, web commerce, and online distribution have altered regional IT labor market returns in the United States. IT occupations experienced similar wage growth as STEM occupations involving IT-related work activities,... View Details