Publications
Publications
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(3,439)
- Faculty Publications (466)
- 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 (Revised December 2020)
- Case
Hot Wheels at Mattel: Reinventing the Wheel
By: Elie Ofek, Andres Terech and Nicole Tempest Keller
In 2017, Chris Down, Global Brand General Manager for Hot Wheels, and his team from the Advanced Play Group within Mattel, Inc., were considering which innovation path to pursue in order to "future proof" the Hot Wheels franchise going forward. Hot Wheels was the... View Details
- Fall 2020
- Article
Climate in the Boardroom: Struggling to Reconcile Business as Usual & the End of the World as We Know It
How does one witness to businesspeople about climate change? Climate change is a problem for the collective and the long term, whereas business often requires a ruthless focus on the individual and the quarter. Climate change is an ethical catastrophe whose solution... View Details
- 2021
- Working Paper
Time and the Value of Data
By: Ehsan Valavi, Joel Hestness, Newsha Ardalani and Marco Iansiti
Managers often believe that collecting more data will continually improve the accuracy of their machine learning models. However, we argue in this paper that when data lose relevance over time, it may be optimal to collect a limited amount of recent data instead of... View Details
- July 2020
- Article
Healthy Business? Managerial Education and Management in Healthcare
By: Nicholas Bloom, Renata Lemos, Raffaella Sadun and John Van Reenen
We investigate the link between hospital performance and managerial education by collecting a large database of management practices and skills in hospitals across nine countries. We find that hospitals that are closer to universities offering both medical education... View Details
- 2020
- Working Paper
Older People Are Less Pessimistic About the Health Risks of COVID-19
By: Pedro Bordalo, Katherine B. Coffman, Nicola Gennaioli and Andrei Shleifer
A central question for understanding behaviour during the COVID-19 pandemic, at both the individual and collective levels, is how people perceive the health and economic risks they face. We conducted a survey of over 1,500 Americans from May 6–13, 2020, to understand... View Details
- 2022
- Working Paper
Optimal Illiquidity
By: John Beshears, James J. Choi, Christopher Clayton, Christopher Harris, David Laibson and Brigitte C. Madrian
We calculate the socially optimal level of illiquidity in an economy populated by households with taste shocks and naive present bias. The government chooses mandatory contributions to accounts, each witha different pre-retirement withdrawal penalty. Collected... View Details
Keywords: Illiquidity; Commitment; Flexibility; Savings; Social Security; Retirement; Government Legislation; Taxation; Saving
- June 2020 (Revised July 2023)
- Case
Time Out: The Evolution from Media to Markets
By: Kate Barasz and Eva Ascarza
In February 2020, Time Out’s chief executive officer Julio Bruno is evaluating the strategic direction of the company. Over the span of five decades, Time Out — the global media and entertainment brand — had gone from a self-published counterculture publication in... View Details
- June 2020
- Teaching Note
Understanding the Brand Equity of Nestlé Crunch Bar
By: Jill Avery and Gerald Zaltman
Teaching Note for HBS Case Nos. 519-061 and 519-062. In early 2018, Nestlé announced the sale of its U.S. candy-making division and a select collection of twenty of its confectionery brands, including the Nestlé Crunch Bar, to Ferrero SpA for $2.8 billion. Under the... View Details
- 2021
- Conference Presentation
An Algorithmic Framework for Fairness Elicitation
By: Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton and Zhiwei Steven Wu
We consider settings in which the right notion of fairness is not captured by simple mathematical definitions (such as equality of error rates across groups), but might be more complex and nuanced and thus require elicitation from individual or collective stakeholders.... View Details
- June 2020
- Teaching Note
Armarium: Luxury Fashion Brands for Rent
By: Jill Avery and David Fubini
Armarium, a two-sided digital platform that offered consumers the opportunity to rent the most coveted, current season high fashion clothing and accessories from the top global luxury brands, had emerged from its first sales season with two distinct customer segments:... View Details
Keywords: Luxury Brand; Fashion; Sharing Economy; Two-sided Marketplace; Target Market; Customer Selection; Marketing; Brands and Branding; Luxury; Two-Sided Platforms; Business Model; Growth and Development Strategy; Customer Value and Value Chain; Fashion Industry; Consumer Products Industry; United States; North America
- June 2020
- Article
The Isolated Choice Effect and Its Implications for Gender Diversity in Organizations
By: Edward H. Chang, Erika L. Kirgios, Aneesh Rai and Katherine L. Milkman
We highlight a feature of personnel selection decisions that can influence the gender diversity of groups and teams. Specifically, we show that people are less likely to choose candidates whose gender would increase group diversity when making personnel selections in... View Details
- 2020
- Working Paper
Anchors Aweigh: Analysis of Anchor Limited Partner Investors in Impact Investment Funds
By: Shawn A. Cole, T. Robert Zochowski, Fanele Mashwama and Heather McPherson
This note describes results from a survey of “anchor investors” in impact funds. Anchor investors
are described as “generally the first investor to make a substantial capital commitment to a fund,”
(according to the Global Impact Investing Network, “GIIN”) and their... View Details