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Publications
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(2,535)
- Faculty Publications (441)
- 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 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
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 7 The Value Structure of Technologies, Part 2: Strategy without Numbers
Functional analysis as set forth in the last chapter decomposes a technical system into functional components that do things to advance the system’s purpose and the goals of its designers. Functional analysis in turn can be used to construct value structure maps... View Details
- 2020
- Working Paper
Design and Analysis of Switchback Experiments
By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted... View Details
- 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... View Details
- July 2020
- Technical Note
Digital Natives Growing Without a Sales Force
By: Das Narayandas, Michael Norris and Amram Migdal
This brief case describes the rise of so-called digital natives (also called born-in-digital) in the 2000s and 2010s that successfully grew without a sales force. The case highlights the emergence of business-to-business Internet and cloud-based companies and their... View Details
Keywords: Government Administration; Crisis Management; Health; Health Pandemics; Innovation and Invention; Innovation Leadership; Innovation Strategy; Technological Innovation; Social Issues; Information Technology; Mobile and Wireless Technology; Applications and Software; Technology Adoption; Information Technology Industry; Australia; North and Central America; United States; Illinois; Chicago; California; San Francisco
- 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... View Details
- 2020
- Working Paper
EMEs and COVID-19: Shutting Down in a World of Informal and Tiny Firms
By: Laura Alfaro, Oscar Becerra and Marcela Eslava
Emerging economies are characterized by an extremely high prevalence of informality, small-firm employment and jobs not fit for working from home. These features factor into how the COVID-19 crisis has affected the economy. We develop a framework that, based on... View Details
- 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... View Details
- June 2020
- Article
How Scheduling Can Bias Quality Assessment: Evidence from Food Safety Inspections
By: Maria Ibanez and Michael W. Toffel
Accuracy and consistency are critical for inspections to be an effective, fair, and useful tool for assessing risks, quality, and suppliers—and for making decisions based on those assessments. We examine how inspector schedules could introduce bias that erodes... View Details
- 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... View Details
- April 2020 (Revised June 2020)
- Case
Oriental Land Co., Ltd.—Tokyo Disney Resort
By: Ramon Casadesus-Masanell and Akiko Kanno
This case describes the history of Oriental Land Co. Ltd.’s (OLC's) Tokyo Disney Resort (TDR), its operations, the extent of vertical integration, and the challenges it faced in 2018 as OLC's chairman and CEO, Toshio Kagami, contemplated how best to deal with... View Details
Keywords: Strategy For Multi-business Firm; Business Models; Growth; Theme Parks; Disney; Disney Parks; Licensing; Royalties; Two-part Tariffs; Oriental Land Co.; Tokyo Disneyland; Tokyo DisneySea; Tokyo Disney Resort; Tokyo Disney; Growth Strategy; Hotels; Hotel Industry; Partnership; Development; Attractions; Rides; Urayasu; Kagami; Congestion; Pricing; Amusement Parks; Amusement Park Industry; Brand; Branding; History; OLC; Corporate Strategy; Competitive Strategy; Business History; Price; Retention; Growth and Development; Growth and Development Strategy; Brands and Branding; Agreements and Arrangements; Contracts; Operations; Vertical Integration; Problems and Challenges; Partners and Partnerships; Business Strategy; Expansion; Rail Transportation; Transportation Networks; Accommodations Industry; Entertainment and Recreation Industry; Tourism Industry; Asia; Japan; Tokyo; United States
- 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... View Details
- 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... View Details
- 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... View Details
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