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      • January 2021 (Revised June 2021)
      • Supplement

      Eaton Corporation: Portfolio Transformation and The Cost of Capital (Abridged)

      By: Benjamin C. Esty, E. Scott Mayfield and Daniel Fisher
      In 2000, Eaton Corporation was a broadly diversified industrial conglomerate. But its strategy was evolving and its focus was narrowing around “power management” and more recently on “intelligent power,” the use of digitally enabled products and services designed to... View Details
      Keywords: Mergers and Acquisitions; Business Conglomerates; Business Divisions; Cost of Capital; Corporate Finance; Value; Valuation; Industrial Products Industry; United States; Denmark; Republic of Ireland
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      Esty, Benjamin C., E. Scott Mayfield, and Daniel Fisher. "Eaton Corporation: Portfolio Transformation and The Cost of Capital (Abridged)." Harvard Business School Spreadsheet Supplement 221-708, January 2021. (Revised June 2021.)
      • January 2021 (Revised June 2021)
      • Case

      Eaton Corporation: Portfolio Transformation and the Cost of Capital (Abridged)

      By: Benjamin C. Esty, E. Scott Mayfield and Daniel Fisher
      In 2000, Eaton Corporation was a broadly diversified industrial conglomerate. But its strategy was evolving and its focus was narrowing around “power management” and more recently on “intelligent power,” the use of digitally enabled products and services designed to... View Details
      Keywords: Mergers and Acquisitions; Business Conglomerates; Business Divisions; Cost of Capital; Corporate Finance; Value; Valuation; Industrial Products Industry; United States; Denmark; Republic of Ireland
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      Esty, Benjamin C., E. Scott Mayfield, and Daniel Fisher. "Eaton Corporation: Portfolio Transformation and the Cost of Capital (Abridged)." Harvard Business School Case 221-070, January 2021. (Revised June 2021.)
      • January 2021
      • Case

      Value-Based Insurance Design at Onex

      By: Joshua Schwartzstein, Amitabh Chandra and Amram Migdal
      The operating executives of Health and Benefits for Onex Partners, Megan Jackson Frye and Sam Camens, faced a challenge: Healthcare costs for employees of Onex’s portfolio companies were continuing to rise above the consumer price index, reflecting broader trends... View Details
      Keywords: Decision Making; Cost vs Benefits; Decision Choices and Conditions; Decisions; Finance; Behavioral Finance; Insurance; Health; Health Care and Treatment; Human Resources; Compensation and Benefits; Markets; Demand and Consumers; Consumer Behavior; Social Psychology; Behavior; Interests; Motivation and Incentives; Perception; Health Industry; Health Industry; North America; United States
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      Schwartzstein, Joshua, Amitabh Chandra, and Amram Migdal. "Value-Based Insurance Design at Onex." Harvard Business School Case 921-023, January 2021.
      • January 2021 (Revised March 2021)
      • Case

      THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

      By: Jill Avery, Ayelet Israeli and Emma von Maur
      THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
      Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; "Marketing Analytics"; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Fashion Industry; Fashion Industry; Fashion Industry; United States
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      Avery, Jill, Ayelet Israeli, and Emma von Maur. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Case 521-070, January 2021. (Revised March 2021.)
      • January–February 2021
      • Article

      Compensation Packages That Actually Drive Performance

      By: Boris Groysberg, Sarah Abbott, Michael R. Marino and Metin Aksoy
      By aligning executives’ financial incentives with company strategy, a firm can inspire its management to deliver superior results. But it can be hard to get pay packages right. In this article four experts break down the key elements of compensation and explain how to... View Details
      Keywords: Executive Compensation; Compensation and Benefits; Motivation and Incentives; Strategy; Performance
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      Groysberg, Boris, Sarah Abbott, Michael R. Marino, and Metin Aksoy. "Compensation Packages That Actually Drive Performance." Harvard Business Review 99, no. 1 (January–February 2021): 102–111.
      • December 2020 (Revised April 2021)
      • Case

      IBM Watson at MD Anderson Cancer Center

      By: Shane Greenstein, Mel Martin and Sarkis Agaian
      After discovering that their cancer diagnostic tool, designed to leverage the cloud computing power of IBM Watson, needed greater integration into the clinical processes at the MD Anderson Cancer Center, the development team had difficult choices to make. The Oncology... View Details
      Keywords: Decision Making; Innovation Strategy; Knowledge Management; Knowledge Use and Leverage; Operations; Failure; Information Technology; Applications and Software; Health Care and Treatment; Product Development; Health Industry; Health Industry; Health Industry; United States; Houston; Texas
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      Greenstein, Shane, Mel Martin, and Sarkis Agaian. "IBM Watson at MD Anderson Cancer Center." Harvard Business School Case 621-022, December 2020. (Revised April 2021.)
      • December 2020 (Revised March 2025)
      • Case

      Responsive Working at PepsiCo UK (A): Designing a Turnaround

      By: Amy C. Edmondson and Nancy Boghossian Staples
      Facing a significant decline in revenues in 2016, David Gwilliam, Head of Transformation at PepsiCo UK introduced a new way of working (“Responsive Working”), which encompasses a set of work practices and some new team structures. The work practices comprise a set of 9... View Details
      Keywords: SLAM Teams; Turnaround; Groups and Teams; Employees; Training; Decision Making; Planning; Performance Improvement; Consumer Products Industry; Consumer Products Industry; United Kingdom; Europe
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      Edmondson, Amy C., and Nancy Boghossian Staples. "Responsive Working at PepsiCo UK (A): Designing a Turnaround." Harvard Business School Case 621-076, December 2020. (Revised March 2025.)
      • 2021
      • Working Paper

      Accounting for Product Impact in the Airlines Industry

      By: George Serafeim and Katie Trinh
      We apply the product impact measurement framework of the Impact-Weighted Accounts Initiative (IWAI) in two competitor companies within the airlines industry. We design a monetization methodology that allows us to calculate monetary impact estimates of fare... View Details
      Keywords: Product Innovation; Impact; Impact Investing; Impact Measurement; ESG; ESG (Environmental, Social, Governance) Performance; ESG Ratings; Social Corporate Responsibility; Corporate Social Responsibility; Social Impact; Aviation; Product Design; Product Positioning; Society; Product; Environmental Sustainability; Measurement and Metrics; Framework; Corporate Social Responsibility and Impact; Air Transportation; Air Transportation Industry
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      Serafeim, George, and Katie Trinh. "Accounting for Product Impact in the Airlines Industry." Harvard Business School Working Paper, No. 21-066, November 2020. (Revised February 2021.)
      • 2023
      • Working Paper

      Personalized Game Design for Improved User Retention and Monetization in Freemium Games

      By: Eva Ascarza, Oded Netzer and Julian Runge
      One of the most crucial aspects and significant levers that gaming companies possess in designing digital games is setting the level of difficulty, which essentially regulates the user’s ability to progress within the game. This aspect is particularly significant in... View Details
      Keywords: Freemium; Retention/churn; Field Experiment; Field Experiments; Gaming; Gaming Industry; Mobile App; Mobile App Industry; Monetization; Monetization Strategy; Games, Gaming, and Gambling; Mobile and Wireless Technology; Customers; Retention; Product Design; Strategy
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      Ascarza, Eva, Oded Netzer, and Julian Runge. "Personalized Game Design for Improved User Retention and Monetization in Freemium Games." Harvard Business School Working Paper, No. 21-062, November 2020. (Revised December 2023.)
      • 2020
      • Working Paper

      Accounting for Product Impact in the Consumer Finance Industry

      By: George Serafeim and Katie Trinh
      We apply the product impact measurement framework of the Impact-Weighted Accounts Initiative (IWAI) in two competitor credit card providers within the consumer finance industry. We design a monetization methodology that allows us to calculate monetary impact estimates... View Details
      Keywords: Product Innovation; Impact; Impact Investing; Impact Measurement; ESG; ESG (Environmental, Social, Governance) Performance; ESG Ratings; Social Corporate Responsibility; Corporate Social Responsibility; Social Impact; Consumer Finance; Financial Services; Financial Inclusion; Product; Product Design; Product Positioning; Society; Corporate Social Responsibility and Impact; Personal Finance; Credit Cards; Financial Services Industry
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      Serafeim, George, and Katie Trinh. "Accounting for Product Impact in the Consumer Finance Industry." Harvard Business School Working Paper, No. 21-061, November 2020. (Revised December 2020.)
      • 2021
      • Working Paper

      Accounting for Product Impact in the Consumer-Packaged Foods Industry

      By: Amanda Rischbieth, George Serafeim and Katie Trinh
      We apply the product impact measurement framework of the Impact-Weighted Accounts Initiative (IWAI) in two competitor companies within the consumer-packaged goods industry. We design a methodology that allows us to calculate monetary impact estimates on customer... View Details
      Keywords: Product Innovation; Impact; Impact Investing; Impact Measurement; ESG; ESG (Environmental, Social, Governance) Performance; ESG Ratings; Social Corporate Responsibility; Corporate Social Responsibility; Social Impact; Nutrition Database; Nutritional Information; CPG; Consumer Packaged Goods; IWAI; Product Design; Product Positioning; Society; Environmental Sustainability; Corporate Social Responsibility and Impact; Nutrition; Product; Safety; Consumer Products Industry
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      Rischbieth, Amanda, George Serafeim, and Katie Trinh. "Accounting for Product Impact in the Consumer-Packaged Foods Industry." Harvard Business School Working Paper, No. 21-051, October 2020. (Revised October 2021.)
      • October 2020
      • Case

      LifeBank Nigeria

      By: Brian Trelstad, Pippa Tubman Armerding and Wale Lawal
      The aspiration of addressing maternal deaths in Nigeria, which were mostly caused by blood shortages, led Temie Giwa-Tubosun to found LifeBank in 2015. LifeBank developed an online platform that enabled hospitals to connect and purchase blood from local blood banks and... View Details
      Keywords: Systems Design; Social Business; Business At The Base Of The Pyramid; Health Care; Blood; Social Enterprise; Health Care and Treatment; Growth and Development Strategy; Finance; Health Industry; Health Industry; Africa; Nigeria
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      Trelstad, Brian, Pippa Tubman Armerding, and Wale Lawal. "LifeBank Nigeria." Harvard Business School Case 321-082, October 2020.
      • October 2020
      • Case

      PraDigi Open Learning: Transforming Rural India

      By: John J-H Kim and Malini Sen
      Pratham is a non-governmental organization, focusing on high-quality, low-cost and replicable interventions to address gaps in the Indian education system. Co-founder Madhav Chavan is interested in using technology for education but differed in the way it is used in... View Details
      Keywords: Decision Choices and Conditions; Social Entrepreneurship; Education; Information Technology; Learning; Growth and Development Strategy; Non-Governmental Organizations; Social Issues; Education Industry; India; Asia
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      Kim, John J-H, and Malini Sen. "PraDigi Open Learning: Transforming Rural India." Harvard Business School Case 321-022, October 2020.
      • 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; Retail Industry; Retail 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.)
      • 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; Retail Industry; Retail 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.)
      • 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; Retail Industry; Retail 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.)
      • 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; Retail Industry; Retail 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 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
      Keywords: Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; "Marketing Analytics"; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analytics; Data Analysis; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Targeting; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Algorithmic Bias; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Retail Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)
      • September 2020 (Revised July 2022)
      • Supplement

      Spreadsheet Supplement to "Artea: Designing Targeting Strategies"

      By: Eva Ascarza and Ayelet Israeli
      Spreadsheet Supplement to "Artea: Designing Targeting Strategies" (521-021). View Details
      Keywords: Race; Gender; Marketing; Diversity; Customer Relationship Management; Retail Industry; Retail Industry; Retail Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. Spreadsheet Supplement to "Artea: Designing Targeting Strategies". Harvard Business School Spreadsheet Supplement 521-703, September 2020. (Revised July 2022.)
      • 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; Retail Industry; Retail 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.)
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