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September 2019 (Revised May 2020)
Supplement

Keroche (E): Considering Additional Capacity

By: Ramon Casadesus-Masanell and Pippa Tubman Armerding

This case describes Keroche’s growth after entering the beer business in 2008. Although the company was operating at full capacity and not able to fulfill all of its orders, Tabitha Karanja had set a goal of growing Keroche’s share of the Kenyan beer market from... View Details

September 2019 (Revised May 2020)
Supplement

Keroche (F): Future Growth Plans

By: Ramon Casadesus-Masanell and Pippa Tubman Armerding

This case describes Keroche co-founder Tabitha Karanja’s 2012 decision to invest in additional production capacity. In November 2012, with a loan from Barclay’s bank, Keroche began constructing a new state-of-the-art beer brewery using German technology. The new plant,... View Details

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

September 2019 (Revised February 2020)
Teaching Note

Fishbowl: Scaling Up

By: Leslie K. John

Email mking@hbs.edu for a courtesy copy.

Teaching Note for HBS No. 919-013. Fishbowl is a social media app that allows professionals to connect with other relevant professionals both within their company and... View Details

September 2019 (Revised February 2020)
Teaching Note

Commonwealth Bank of Australia: Unbanklike Experimentation

By: Ryan W. Buell and Leslie K. John

Email mking@hbs.edu for a courtesy copy.

This Teaching Note explains the theory of the case and teaching plan for the case: Commonwealth Bank of Australia: Unbanklike Experimentation (619-018). In August 2017,... View Details

Keywords: Transparency; Experimentation; Banks and Banking; Credit Cards; Customer Focus and Relationships; Competitive Strategy; Banking Industry; Australia

Article

How to (Inadvertently) Sabotage Your Organization

By: Stefan Thomke

Some of the biggest threats to organizational performance can and do come from within. In an age when companies are told to be agile, to learn from experiments, and to be entrepreneurial, we are still vulnerable to actions — deliberate or unintentional — that stem from... View Details

Keywords: Management Practices; Effective Managers; Self-awareness; CIA,; Organizational Behavior; Management Practices and Processes; Organizations; Behavior; Performance

August 2019 (Revised March 2022)
Case

Lemonade: Disrupting Insurance with Instant Everything, Killer Prices, and a Big Heart

By: Elie Ofek and Danielle Golan

Launching its first products in the fall of 2016 in New York, insurtech startup Lemonade was on a mission to disrupt the insurance market by using AI and behavioral economics principles. The company offered renters, homeowners, and condo insurance and mainly targeted... View Details

Keywords: AI; Business Startups; Insurance; Technological Innovation; Business Model; Disruption; Brands and Branding; Growth and Development Strategy; Global Strategy; Decision Making; Insurance Industry; Technology Industry

August 2019
Case

The United States and Russia: Gas Rivals in Europe?

By: Rawi Abdelal, Galit Goldstein and Paul Apostolicas

Though the shale revolution transformed the U.S. into the largest producer of petroleum products, it was unclear how much success American exporters would find selling liquefied natural gas on the European energy market. Gazprom, the state-controlled Russian energy... View Details

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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July 2019 (Revised November 2022)
Case

Backstage at Boston Ballet

By: David G. Fubini, Ryan Raffaelli, Begum Agca Okutgen and Julia Kelley

This case asks students to consider how to prioritize goals when placed in a new leadership role. In August 2014, Meredith “Max” Hodges became the youngest Executive Director (ED) in the Boston Ballet’s 51-year history. In her first year, she was able to claim several... View Details

April 2019
Case

Barber Cardiosystems

By: Ranjay Gulati and Paul S. Myers

Barber Cardiosystems, based in Melbourne, Australia, designs and manufactures therapeutic devices used for treatment of coronary conditions. Over four decades, it has grown to be among the top 200 medical device companies in the world. It competes against much larger... View Details

Keywords: Organizational Behavior; Strategic Alignment; Cost Management; Performance Productivity; Organizational Culture; Motivation and Incentives; Organizational Design; Strategy; Leadership; Medical Devices and Supplies Industry; Australia

March 2019
Case

HOPI: Turkey's Shopping Companion

By: Sunil Gupta, Donald Ngwe and Gamze Yucaoglu

The case opens in 2017 as Onur Erbay, CEO of HOPI, a multi-vendor loyalty platform, is contemplating a critical decision. The case chronicles the origins of Boyner Group, the parent company of HOPI and a major retailer in Turkey, and development of retail and customer... View Details

Keywords: Loyalty Programs; Multi-vendor Platform; Retail; Big Data; Customer Relationship Management; Mobile and Wireless Technology; Business Model; Analytics and Data Science; Competitive Strategy; Decision Making; Applications and Software; Digital Platforms; Technology Industry; Retail Industry; Turkey

March 2019 (Revised March 2023)
Case

Accion's Fintech Strategy

By: V. Kasturi Rangan, Michael Chu and Tricia Gregg

Accion, an NGO, had been a pioneer in microfinance since its entry into that sector in the early 1970s. Its investments in Banco Compartamos paid off, when the microfinance bank went IPO in 2007, leaving an influx of $138 million for Accion. Under a new CEO, Michael... View Details

Keywords: Fintech; Impact Investing; Financial Inclusion; Technological Innovation; Strategy; Strategic Planning; Performance Effectiveness; Non-Governmental Organizations; Microfinance; Financial Institutions; Business Growth and Maturation; Customer Focus and Relationships; Industry Growth

March–April 2019
Article

Operational Transparency: Make Your Processes Visible to Customers and Your Customers Visible to Employees

By: Ryan W. Buell

Conventional wisdom holds that the more contact an operation has with its customers, the less efficiently it will run. But when customers are partitioned away from the operation, they are less likely to fully understand and appreciate the work going on behind the... View Details

Keywords: Operational Transparency; Customers; Services; Operations; Customer Focus and Relationships; Employees; Customer Satisfaction; Behavior; Service Industry

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February 2019 (Revised December 2019)
Case

ThirdLove

By: Jeffrey F. Rayport and Matthew G. Preble

Keywords: Cohort Behavior; Customer Acquisition Cost (CAC); Lifetime Value (LTV)

2020
Working Paper

Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

By: Eva Ascarza

The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details

Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry

January 2019 (Revised February 2024)
Teaching Note

Hubble Contact Lenses: Data Driven Direct-to-Consumer Marketing

By: Ayelet Israeli

Teaching Note for HBS No. 519-011. As its Series A extension round approaches, the founders of Hubble, a subscription-based, social-media fueled, direct-to-consumer (DTC) brand of contact lenses, are reflecting on the marketing strategies that have taken them to a... View Details

January 2019
Supplement

Understanding the Brand Equity of Nestlé Crunch Bar (B): Data Analysis

By: Jill Avery and Gerald Zaltman

In early 2018, Nestlé announced the sale of its U.S. candy-making division and a select collection of 20 of its confectionery brands, including the Nestlé Crunch Bar, to Ferrero SpA for $2.8 billion. Luckily, an old consumer research study on the Nestlé Crunch Bar... View Details

January 2019
Case

Understanding the Brand Equity of Nestlé Crunch Bar: A Market Research Case

By: Jill Avery and Gerald Zaltman

In early 2018, Nestlé announced the sale of its U.S. candy-making division and a select collection of 20 of its confectionery brands, including the Nestlé Crunch Bar, to Ferrero SpA for $2.8 billion. Under the terms of the Nestlé acquisition, each of the purchased... View Details

Keywords: Brand Equity; Marketing; Market Research; Qualitative Research; Marketing Communication; Customer Satisfaction; Brands and Branding; Consumer Behavior; Marketing Communications; Marketing Strategy; Food and Beverage Industry; United States; North America; Italy

Article

Faithful and Customizable Explanations of Black Box Models

By: Himabindu Lakkaraju, Ece Kamar, Rich Caruana and Jure Leskovec

As predictive models increasingly assist human experts (e.g., doctors) in day-to-day decision making, it is crucial for experts to be able to explore and understand how such models behave in different feature subspaces in order to know if and when to trust them. To... View Details

Keywords: Interpretable Machine Learning; Black Box Models; Decision Making; Framework

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