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  • 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
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Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)

    W. Earl Sasser

    Earl Sasser is a Baker Foundation Professor at Harvard Business School and has been a member of the faculty there since 1969. He received a B.A. in Mathematics from Duke University in 1965, an MBA from the University of North Carolina in 1967, and a Ph.D. in... View Details

    Keywords: airline; automotive; banking; broadcasting; communications; construction; credit card; education industry; entertainment; fast food; hotels & motels; insurance industry; marketing industry; oil & gas; restaurant; retailing; service industry; sports; tourism; transportation
    • February 2023 (Revised May 2023)
    • Case

    Accelerating the Accelerator: Raja Al Mazrouei at DIFC Fintech Hive

    By: Linda A. Hill, Emily Tedards and Lydia Begag
    In January 2023, Raja Al Mazrouei became the Managing Director and Acting CEO of Etihad Credit Insurance (ECI) in Dubai, UAE. In her previous role as the Executive Vice President of the DIFC Fintech Hive, she successfully built and led an accelerator program for... View Details
    Keywords: Organizational Change and Adaptation; Organizational Culture; Organizational Design; Organizational Structure; Management; Strategy; Technology Adoption; Information Infrastructure; Financial Management; Financial Strategy; Technological Innovation; Digital Marketing; Digital Strategy; Digital Transformation; Global Strategy; Globalized Markets and Industries; Banks and Banking; Corporate Finance; Leadership; Leadership Development; Leadership Style; Financial Services Industry; Technology Industry; Banking Industry; Middle East; Singapore; London; United Arab Emirates; Dubai
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    Hill, Linda A., Emily Tedards, and Lydia Begag. "Accelerating the Accelerator: Raja Al Mazrouei at DIFC Fintech Hive." Harvard Business School Case 423-064, February 2023. (Revised May 2023.)
    • 19 Dec 2006
    • First Look

    First Look: December 19, 2006

    demand. Download working paper: http://www.nber.org/papers/w12756 The Value of a 'Free' Customer Authors:Sunil Gupta, Carl F. Mela, and Jose M. Vidal-Sanz Abstract Central to a firm's growth and marketing policy is the revenue and profit... View Details
    Keywords: Sean Silverthorne
    • April 2025
    • Case

    Thrivent: From Insurance Agents to Financial Advisors

    By: Hubert Joly, Leonard A. Schlesinger and Tom Quinn
    Thrivent, a midwestern financial services company with a centuries-long history rooted in Lutheranism, had reached $10 billion in revenue mostly by selling life insurance. In the 2020s, however, CEO Terry Rasmussen began a transformation process centered around the... View Details
    Keywords: Change Management; Transformation; Talent and Talent Management; Customer Focus and Relationships; Customer Value and Value Chain; Forecasting and Prediction; Employee Relationship Management; Retention; Selection and Staffing; Job Design and Levels; Human Capital; Leading Change; Mission and Purpose; Organizational Change and Adaptation; Organizational Culture; Insurance Industry; Financial Services Industry; United States; Minneapolis
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    Joly, Hubert, Leonard A. Schlesinger, and Tom Quinn. "Thrivent: From Insurance Agents to Financial Advisors." Harvard Business School Case 325-047, April 2025.
    • 19 Jul 2010
    • Research & Ideas

    How Mercadona Fixes Retail’s ’Last 10 Yards’ Problem

    Imagine a retail chain that offers customers not only the lowest prices but also personalized customer service. Employees receive above-average wages and 20 times more training than the average American... View Details
    Keywords: by Julia Hanna; Retail; Food & Beverage
    • 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
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    Martinez Jerez, F. Asis, and Lisa Brem. "Cash Flow Productivity at PepsiCo: Communicating Value to Retailers." Harvard Business School Case 111-069, March 2011.
    • May 2004 (Revised July 2004)
    • Case

    Clarence Saunders: The Comeback King

    By: Nitin Nohria and Bridget Gurtler
    Follows the rise and fall of the founder of the modern supermarket, Clarence Saunders. Prior to 1915, all staple shopping took place in the market or general store, where a clerk behind a counter pulled items from shelves for customers , measured them from a barrel, or... View Details
    Keywords: Inflation and Deflation; Mission and Purpose; Business Processes; Leadership; Consumer Behavior; Leadership Style; Advertising; Customer Relationship Management; Customer Value and Value Chain; Order Taking and Fulfillment
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    Nohria, Nitin, and Bridget Gurtler. "Clarence Saunders: The Comeback King." Harvard Business School Case 404-070, May 2004. (Revised July 2004.)
    • January 2004 (Revised October 2006)
    • Case

    Electronic Arts in Online Gaming

    By: Thomas R. Eisenmann and Justin Wong
    Electronic Arts (EA), the world's largest independent video-game publisher, must decide whether to support Microsoft's initiatives in online gaming. Historically, EA has been platform-agnostic, releasing versions of its titles for all major console platforms. However,... View Details
    Keywords: Corporate Strategy; Digital Platforms; Network Effects; Policy; Customer Focus and Relationships; Games, Gaming, and Gambling; Revenue; Segmentation; Sales; Entertainment and Recreation Industry; Electronics Industry
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    Eisenmann, Thomas R., and Justin Wong. "Electronic Arts in Online Gaming." Harvard Business School Case 804-140, January 2004. (Revised October 2006.)
    • 05 Feb 2025
    • Blog Post

    Leadership with purpose: Redefining success and impact with Satpal Singh (SELP—India 4, 2019)

    driving transformations that make a meaningful difference in the lives of our customers and communities. Throughout my career, I’ve learned leadership isn’t about fitting into a mold—it’s about understanding who you are and the values... View Details
    Keywords: All Industries

      Frances X. Frei

      Frances Frei is a Professor of Technology and Operations Management at Harvard Business School. Her research investigates how leaders accelerate performance and design for excellence in leadership, strategy, and operations. She regularly advises senior executives... View Details

      Keywords: airline; banking; fast food; financial services; health care; hotels & motels; management consulting; media; nonprofit industry; professional services; retail financial services; service industry; sports; telecommunications; tourism; travel
      • April 2008
      • Exercise

      Exercise: Customer-Operator Letter Writing

      By: Frances X. Frei
      The exercise involves having students write letters to an organization of their choice describing their operating experience at a detailed level. The companies' responses are paired with the students' letters and the entire collection is made available to the class.... View Details
      Keywords: Customer Relationship Management; Customer Satisfaction; Customer Value and Value Chain; Knowledge Sharing; Knowledge Use and Leverage; Performance Improvement
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      Frei, Frances X. "Exercise: Customer-Operator Letter Writing." Harvard Business School Exercise 608-126, April 2008.
      • 17 Feb 2020
      • Sharpening Your Skills

      How Entrepreneurs Can Find the Right Problem to Solve

      are so biased it’s hard to trust the results. Further, entrepreneurs may have a good hunch there’s a job to be done that needs improving or replacing, but they can’t describe where in the customer journey they can truly make an impact.... View Details
      Keywords: by Julia Austin
      • 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
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      Ascarza, Eva, and Ayelet Israeli. "Spreadsheet Supplement to Artea Teaching Note." Harvard Business School Spreadsheet Supplement 521-705, September 2020. (Revised June 2023.)
      • 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
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      Ascarza, Eva, and Ayelet Israeli. "Artea (D): Discrimination through Algorithmic Bias in Targeting." Harvard Business School Exercise 521-043, September 2020. (Revised July 2022.)
      • 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
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      Ascarza, Eva, and Ayelet Israeli. "Artea (A), (B), (C), and (D): Designing Targeting Strategies." Harvard Business School Teaching Note 521-041, September 2020. (Revised February 2024.)
      • Teaching Interest

      Managing Global Health: Applying Behavioral Economics to Create Impact (MBA)

      Health, and development more broadly, is not something we give to people: it is something they produce themselves, interacting with supply-side and institutional factors. This course trains students to see through the lens of the end-user and to use the levers of... 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
      Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Artea (C): Potential Discrimination through Algorithmic Targeting." Harvard Business School Exercise 521-037, September 2020. (Revised July 2022.)
      • January 2016
      • Article

      Incorporating Longitudinal Pediatric Patient-centered Outcome Measurement into the Clinical Workflow Using a Commercial Electronic Health Record: A Step Toward Increasing Value for the Patient

      By: Kathleen Carberry, Zachary Landman, Michelle Xie, Thomas W. Feeley, John Henderson and Charles Fraser Jr.
      Patient-centered outcomes measurement provides healthcare organizations with crucial information for increasing value for patients; however, organizations have struggled to obtain outcomes data from electronic health record (EHR) systems. This study describes how Texas... View Details
      Keywords: Epic; Electronic Health Records; Outcomes; Value; Patient-Centered Outcomes Measurement; Value Creation; Information Technology; Health Care and Treatment; Customer Focus and Relationships; Health Industry; Texas
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      Carberry, Kathleen, Zachary Landman, Michelle Xie, Thomas W. Feeley, John Henderson, and Charles Fraser Jr. "Incorporating Longitudinal Pediatric Patient-centered Outcome Measurement into the Clinical Workflow Using a Commercial Electronic Health Record: A Step Toward Increasing Value for the Patient." Journal of the American Medical Informatics Association 23, no. 1 (January 2016): 88–93. (Published first online September 16, 2015.)
      • January 2020 (Revised April 2020)
      • Case

      Rumo: Infrastructure for a Healthier Economy

      By: Forest L. Reinhardt, Mariana Cal, Ruth Costas and Natalie Kindred
      Brazilian logistics company Rumo operated 13,500 km in railway networks, port terminals, and inland transshipment terminals, connecting major Brazilian ports to the agriculture hubs of Mato Grosso and São Paulo state. Controlled by Cosan, Brazil's leading sugar and... View Details
      Keywords: Agribusiness; Plant-Based Agribusiness; Customer Relationship Management; Growth and Development Strategy; Logistics; Rail Transportation; Value Creation; Rail Industry; Transportation Industry; Agriculture and Agribusiness Industry; Latin America; Brazil
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      Reinhardt, Forest L., Mariana Cal, Ruth Costas, and Natalie Kindred. "Rumo: Infrastructure for a Healthier Economy." Harvard Business School Case 720-008, January 2020. (Revised April 2020.)
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