Publications

November 1989 (Revised February 1992)
Case

Ford Motor Co.: Dealer Sales and Service

By: Leonard A. Schlesinger

Since Henry Ford founded Ford Motor Co., Ford vehicles have been sold and serviced the same way. By the late 1980s Ford began to consider making changes in its sales and service process. Two developments forced Ford to reconsider these processes. First, Ford found... View Details

Keywords: Organizational Change and Adaptation; Change Management; Distribution Channels; Customer Focus and Relationships; Service Industry; Auto Industry; Retail Industry; United States

September 2020 (Revised July 2022)
Exercise

Artea (B): Including Customer-Level Demographic Data

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

June 2011 (Revised August 2011)
Case

Colgate-Palmolive: Staying Ahead in Oral Care

By: Rebecca M. Henderson and Ryan Johnson

In 2011, Colgate-Palmolive (Colgate) was the global leader in oral care, with a dominant market share lead in toothpaste and a growing presence in toothbrushes and mouthwash. However, the firm faced stiff competition with perennial rivals P&G increasing their focus on... View Details

Keywords: Innovation Strategy; Brands and Branding; Product Positioning; Distribution Channels; Relationships; Competition; Competitive Advantage; Customization and Personalization; Health Industry

September 2020 (Revised February 2024)
Teaching Note

Artea (A), (B), (C), and (D): Designing Targeting Strategies

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

March 2011
Case

Cash Flow Productivity at PepsiCo: Communicating Value to Retailers

PepsiCo developed a new metric that better measured the value added by Pepsi products than did gross margin, the traditional metric used by retailers to determine shelf space and promotional activity. The new metric, cash flow productivity, captured the value of... View Details

Keywords: Customer Relationship Management; Cash Flow; Measurement and Metrics; Distribution; Performance Productivity; Value Creation; Food and Beverage Industry; Retail Industry

Find at Harvard

22 Nov 2023
Research & Ideas

Humans vs. Machines: Untangling the Tasks AI Can (and Can't) Handle

explains. The second would engage in “business problem-solving tasks using quantitative data, customer and company interviews, and a persuasive writing component.” The experiments represent typical activities for consultants; some... View Details

Keywords: by Rachel Layne; Information Technology; Technology

September 2020 (Revised June 2023)
Supplement

Spreadsheet Supplement to Artea Teaching Note

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 2020 (Revised July 2022)
Exercise

Artea (D): Discrimination through Algorithmic Bias in Targeting

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

October 2023 (Revised March 2024)
Case

Fantuan

By: Feng Zhu and David Lane

In 2023, CEO Randy Wu was considering the optimal growth strategy for Fantuan, a restaurant food delivery platform that had expanded from its 2014 founding in Vancouver, Canada to serve the Chinese demand for Asian cuisine in urban markets across Australia, Canada, the... View Details

Keywords: Business Startups; Customer Focus and Relationships; Diasporas; Entrepreneurship; Digital Platforms; Growth Management; Business Strategy; Diversification; Expansion; Growth and Development Strategy; Service Industry; Food and Beverage Industry; United States; Canada; United Kingdom; Australia

August 2000 (Revised November 2000)
Case

Building Brand Community on the Harley-Davidson Posse Ride

The second Harley-Davidson Posse Ride, a grueling 2,300 mile, 10-day trek from South Padre Island, Tex., to the Canadian Border is billed "for serious riders only." Harley Owner's Group (H.O.G.) Director Mike Keefe must decide whether this rolling rally deserves a... View Details

Keywords: Relationships; Customer Focus and Relationships; Brands and Branding; Motorcycle Industry; United States