Publications
Publications
Show Results For
- All HBS Web
(704)
- Faculty Publications (157)
- 2021
- Working Paper
The Value of Data and Its Impact on Competition
By: Marco Iansiti
Common regulatory perspective on the relationship between data, value, and competition in online platforms has increasingly centered on the volume of data accumulated by incumbent firms. This view posits the existence of "data network effects," where more data leads to... View Details
- May 2021 (Revised February 2024)
- Teaching Note
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Ayelet Israeli and Jill Avery
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
- April 2021
- Article
Homing and Platform Responses to Entry: Historical Evidence from the U.S. Newspaper Industry
By: K. Francis Park, Robert Seamans and Feng Zhu
We examine how heterogeneity in customers’ tendencies to single-home or multi-home affects a platform’s competitive responses to new entrants in the market. We first develop a formal model to generate predictions about how a platform will respond. We then empirically... 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
- February 2021 (Revised May 2021)
- Case
SafeGraph: Selling Data as a Service
By: Ramana Nanda, Abhishek Nagaraj and Allison Ciechanover
Set in January 2021, the CEO of SafeGraph, a four-year-old startup that sold Data as a Service, looked to the future. His aim was to become the most trusted source for data about a physical place. The company provided points of interest (POI) and foot traffic data on... View Details
- February 2021
- Teaching Plan
Soofa: Displaying the Right Path?
By: Jeffrey J. Bussgang and Amy Klopfenstein
This teaching plan serves as a supplement to the case “Soofa: Displaying the Right Path?” HBS 820-098. The case explores the tension between two different financing and expansion plans for a startup, and explores issues related to business model pivots and industry... View Details
Keywords: Business Ventures; Business Model; Business Plan; Business Startups; Entrepreneurship; Decision Making; Decisions; Judgments; Ethics; Geography; Geopolitical Units; Finance; Investment; Markets; Market Entry and Exit; Demand and Consumers; Media; Society; Urban Development; Sustainable Cities; Information Technology; Information Infrastructure; Digital Platforms; Strategy; Business Strategy; Expansion; Relationships; Capital; Venture Capital; Advertising Industry; Advertising Industry; Advertising Industry; North and Central America; United States; Massachusetts; Cambridge
- January 2021 (Revised March 2021)
- Case
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Jill Avery, Ayelet Israeli and Emma von Maur
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
- January 2021 (Revised May 2021)
- Case
Amazon Shopper Panel: Paying Customers for Their Data
By: Eva Ascarza and Ayelet Israeli
This case introduces a new Amazon program that has consumers upload their receipts from transactions outside of Amazon, in exchange for money. Through the discussion, the case aims to explore issues in customers’ privacy in the digital age, the value of customers’ own... View Details
Keywords: Data Analytics; Data Privacy; Data Management; ＂Marketing Analytics＂; Marketing Communication; Marketing Research; Data-driven Management; E-Commerce Strategy; Ethical Decision Making; CRM; Consumer Protection; Targeted Advertising; Targeted Policies; Data Ownership; Marketing; Research; Marketing Communications; Analytics and Data Science; Management; Customer Relationship Management; Ethics; E-commerce; Technology Industry; Technology Industry; United States
- 2021
- Working Paper
The Value of Descriptive Analytics: Evidence from Online Retailers
By: Ron Berman and Ayelet Israeli
Does the adoption of descriptive analytics impact online retailer performance, and if so, how? We use the synthetic difference-in-differences method to analyze the staggered adoption of a retail analytics dashboard by more than 1,500 e-commerce websites, and we find an... View Details
- 2023
- Working Paper
Personalized Game Design for Improved User Retention and Monetization in Freemium Games
By: Eva Ascarza, Oded Netzer and Julian Runge
One of the most crucial aspects and significant levers that gaming companies possess in designing
digital games is setting the level of difficulty, which essentially regulates the user’s ability to
progress within the game. This aspect is particularly significant in... View Details
- October 2020 (Revised March 2024)
- Case
Experimentation at Yelp
By: Iavor Bojinov and Karim R. Lakhani
Over the last decade, experimentation has become integral to the research and development processes of technology companies—including Yelp—for understanding customer preferences and mitigating innovation risks. The case describes Yelp's journey with experimentation,... 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 (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
- July 2020
- Teaching Plan
Girls Who Code
By: Brian Trelstad and Amy Klopfenstein
This teaching plan serves as a supplement to HBS Case No. 320-055, “Girls Who Code.” Founded 2012 by former lawyer Reshma Saujani, Girls Who Code (GWC) offered coding education programs to middle- and high school-aged girls. The organization also sought to alter... View Details
Keywords: Communication; Communication Strategy; Spoken Communication; Interpersonal Communication; Demographics; Age; Gender; Education; Curriculum and Courses; Learning; Middle School Education; Secondary Education; Leadership Style; Leadership; Social Enterprise; Nonprofit Organizations; Social Psychology; Attitudes; Behavior; Cognition and Thinking; Prejudice and Bias; Power and Influence; Identity; Social and Collaborative Networks; Motivation and Incentives; Society; Civil Society or Community; Culture; Public Opinion; Social Issues; Information Technology; Applications and Software; Technology Industry; Technology Industry; North and Central America; United States
- May 2020 (Revised December 2022)
- Case
Soofa: Displaying the Right Path?
By: Jeffrey J. Bussgang, Amy Klopfenstein and Amram Migdal
In November 2019, Sandra Richter, co-founder and CEO of Soofa, a network of advertising-supported digital bulletin boards, must decide between two different fundraising and expansion plans for her company. One plan entails raising $15 million in a Series A round and... View Details
Keywords: Business Ventures; Business Model; Business Plan; Business Startups; Entrepreneurship; Decision Making; Decisions; Ethics; Geography; Geopolitical Units; Finance; Investment; Markets; Market Entry and Exit; Demand and Consumers; Network Effects; Media; Society; Urban Development; Sustainable Cities; Information Technology; Information Infrastructure; Digital Platforms; Strategy; Business Strategy; Expansion; Relationships; Partners and Partnerships; Capital; Venture Capital; Advertising Industry; Advertising Industry; Advertising Industry; North and Central America; United States; Massachusetts; Cambridge
- April 2020
- Teaching Note
Tailor Brands: Artificial Intelligence-Driven Branding
By: Jill Avery
Using proprietary artificial intelligence technology, startup Tailor Brands set out to democratize branding by allowing small businesses to create their brand identities by automatically generating logos in just minutes at minimal cost with no branding or design skills... View Details
- March 2020
- Case
Girls Who Code
By: Brian Trelstad, Amy Klopfenstein and Olivia Hull
In 2012, Reshma Saujani founded Girls Who Code (GWC) with the mission of closing the technology (tech) industry’s gender gap. While GWC offered coding education programs to middle- and high-school-aged girls, the organization also sought to alter cultural stereotypes... View Details