Publications

17 Aug 2023
Research & Ideas

‘Not a Bunch of Weirdos’: Why Mainstream Investors Buy Crypto

Retail's Hot Feature Hurts Low-Income Shoppers Are Banks the ‘Bad Guys’? Overdraft Fees Are Crushing Low-Income Customers The Dark Side of Fintech Borrowing Feedback or ideas to share? Email the Working Knowledge team at hbswk@hbs.edu.... View Details

Keywords: by Ben Rand

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 2010 (Revised December 2011)
Case

WildChina: Taking the Road Less Traveled

By: Mukti Khaire, Daniel Isenberg, Victoria Song and Shirley Spence

This case deals with supplier difficulties faced by WildChina—a travel service provider in China. WildChina is a classic case of a company that is trying to bring a local, within-country product to a market outside the country (in this case, travelers to China from... View Details

Keywords: Business Model; Business Startups; Customer Focus and Relationships; Local Range; Globalized Markets and Industries; Supply Chain Management; Conflict Management; Travel Industry; China

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

10 Nov 2011
HBS Case

HBS Cases: Making Lincoln Center Cool Again

When Reynold Levy took over as president of New York's Lincoln Center for the Performing Arts in 2002, he faced a classic challenge for any nonprofit leader navigating a complex environment: staying relevant to the next generation. Levy knew that 18- to 44-year-olds... View Details

Keywords: by Kim Girard; Entertainment & Recreation

August 2018 (Revised September 2018)
Case

Predicting Purchasing Behavior at PriceMart (A)

By: Srikant M. Datar and Caitlin N. Bowler

This case follows VP of Marketing, Jill Wehunt, and analyst Mark Morse as they tackle a predictive analytics project to increase sales in the Mom & Baby unit of a nationally recognized retailer, PriceMart. Wehunt observed that in the midst of the chaos that surrounded... View Details

Keywords: Data Science; Analytics and Data Science; Analysis; Consumer Behavior; Forecasting and Prediction

November 2017 (Revised September 2020)
Supplement

Miami's Tech Future (B): Building the Entrepreneurial Ecosystem

By: Rosabeth Moss Kanter

In 2017, Miami was rated #1 among U.S. cities for startups, but about 40th for “scale-ups” – growth companies. This case shows how leaders of incubators and accelerators supported startups and a culture of entrepreneurship, but also describes some factors limiting... View Details

Keywords: Scaling; Growth; Startup; Community Engagement; Community Impact; Community Relations; Business Startups; Entrepreneurship; Information Technology; Growth and Development Strategy; Business and Community Relations; Miami; Florida

April 2016
Teaching Note

Flipkart: Transitioning to a Marketplace Model

By: Sunil Gupta and Das Narayandas

In 2015, Sachin and Binny Bansal, co-founders of India's largest e-tailer, Flipkart, announced that the company would switch to a marketplace model and move its logistics arm into a separate company. At the time of the announcement, Snapdeal already claimed to be... View Details

Keywords: India; Marketplaces; Digital Platforms; Internet and the Web; Market Entry and Exit; E-commerce; Retail Industry; India

June 2011 (Revised May 2012)
Case

Reckitt Benckiser: Fast and Focused Innovation

By: Rebecca M. Henderson and Ryan Johnson

Since its 1999 merger Reckitt Benckiser (RB), a global consumer goods company, led by its CEO Bart Becht, RB developed a reputation for rapid product innovation and industry leading profit margins. RB's stated strategy was to focus on its Powerbrands and high growth... View Details

Keywords: Mergers and Acquisitions; Global Strategy; Innovation Leadership; Leadership Style; Growth and Development Strategy; Brands and Branding; Product Development; Performance Improvement; Commercialization; Consumer Products Industry

November 2002 (Revised August 2003)
Case

MedSource Technologies

By: Robert S. Huckman

Considers the issues facing Richard Effress, MedSource's chairman and CEO, as the firm approaches the Precision Cut project--the first test of MedSource's capabilities as an integrated, contract manufacturer in the medical device industry. MedSource Technologies was... View Details

Keywords: Product Development; Production; Mergers and Acquisitions; Product Design; Supply Chain Management; Management Teams; Medical Devices and Supplies Industry; United States

December 1994 (Revised February 1995)
Case

Anne Livingston and Power Max Systems (A): Interviewing with the PowerPlayer Software Engineering Team

Follows the entry and early experiences of engineer Anne Livingston, an African American woman, as she joins Power Max Systems in 1991 as software engineering manager for the new product development group. Power Max is facing stiff competition and wants to be first to... View Details

Keywords: Race; Personal Development and Career; Organizational Culture; Gender; Information Technology Industry