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December 2020 (Revised February 2021)
Case

Kerry Group: Inspiring Food, Nourishing Life

By: Forest L. Reinhardt, José B. Alvarez, Damien McLoughlin, Tonia Labruyere and Tonia Junker

The Irish company Kerry Group, one of the leading global players in the taste and nutrition industry, wants to ensure its future growth in developing and developed markets. Founded in 1972 as a dairy cooperative, it had grown into a provider of taste and nutrition... View Details

Keywords: Agribusiness; Environmental Sustainability; Food; Nutrition; Growth and Development Strategy; Global Range; Market Entry and Exit; Customer Relationship Management; Agriculture and Agribusiness Industry

December 2020 (Revised April 2021)
Case

Arcos Dorados: A QSR Recovery Plan

By: Forest Reinhardt, José B. Alvarez, Jenyfeer Martinez Buitrago and Mariana Cal

Arcos Dorados—McDonald’s largest independent franchisee, covering Latin America and the Caribbean (LAC)—faced a pandemic that was disrupting the entire consumer foodservice business in 2020. With the exclusive right to own, operate, and sub-franchise McDonald’s... View Details

Article

Soul and Machine (Learning)

By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan

Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to... View Details

Keywords: Machine Learning; Marketing Applications; Knowledge; Technological Innovation; Core Relationships; Marketing; Applications and Software

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November 2020 (Revised September 2021)
Case

HP Instant Ink: (Self) Disrupting the Consumer Printing Market

By: Elie Ofek, Marco Bertini, Oded Koenigsberg and George Gonzalez

Seeking to disrupt the consumer printing market (before being disrupted by others), and in response to customer pain points, in 2013 HP Inc. launched an ink replenishment service called Instant Ink, where customers pay a monthly subscription fee based on the number of... View Details

Keywords: Printing; Ink; Subscription Model; Customers; Information Infrastructure; Service Delivery; Business Model; Disruption; Growth and Development Strategy

October 2020 (Revised March 2021)
Supplement

Migros Turkey: Scaling Online Operations During COVID-19 (C)

By: Antonio Moreno and Gamze Yucaoglu

The case opens in August 2020 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 navigating Migros through COVID-19 and the unprecedented... View Details

Keywords: Business Model; Strategy; Digital Platforms; Information Technology; Technology Adoption; Value Creation; Globalization; Competition; Expansion; Logistics; Profit; Resource Allocation; Diversification; Corporate Strategy; Crisis Management; Health Pandemics; Strategic Planning; Food and Beverage Industry; Turkey

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

Keywords: Customer Relationship Management; Collaborative Innovation and Invention; Risk Management; Advertising; Research and Development; Technology Industry

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

Keywords: Targeted Advertising; Targeting; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

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

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

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

Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

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

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

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

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

Keywords: Targeted Advertising; Algorithmic Data; Bias; Advertising; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

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

Keywords: Churn Management; Defection Prediction; Loss Function; Stochastic Gradient Boosting; Customer Relationship Management; Consumer Behavior; Profit

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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

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

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

Keywords: Corporate Entrepreneurship; Television Entertainment; Disruption; Business Strategy; Entertainment and Recreation Industry; Media and Broadcasting Industry; India; Mumbai

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... View Details

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

2019
Article

Overcoming Cultural Resistance to Open Source Innovation

By: John Winsor, Jin Hyun Paik, Michael Tushman and Karim R. Lakhani

Purpose: This article offers insight on how to effectively help incumbent organizations prepare for global business shifts to open source and digital business models.
Design/methodology/approach: Discussion related to observation, experience and case studies... View Details

Keywords: Open Source Innovation; Organizational Culture; Organizational Change and Adaptation; Business Model; Technological Innovation; Collaborative Innovation and Invention

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2019
Working Paper

Soul and Machine (Learning)

By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan

Machine learning is bringing us self-driving cars, improved medical diagnostics, and machine translation, but can it improve marketing decisions? It can. Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to rich media... View Details

Keywords: Machine Learning; Technological Innovation; Marketing; AI and Machine Learning

August 2019
Article

When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation

By: Yicheng Song, Nachiketa Sahoo and Elie Ofek

Sometimes we desire change, a break from the same or an opportunity to fulfill different aspects of our needs. Noting that consumers seek variety, several approaches have been developed to diversify items recommended by personalized recommender systems. However,... View Details

Keywords: Recommender Systems; Personalization; Recommendation Diversity; Variety Seeking; Collaborative Filtering; Consumer Utility Models; Digital Media; Clickstream Analysis; Learning-to-rank; Consumer Behavior; Media; Customization and Personalization; Strategy; Mathematical Methods

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