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      • January 2025
      • Teaching Plan

      Patch Technology: Making It Easy to Do the Right Thing

      By: Tomomichi Amano
      Teaching Plan for HBS Case No. 522-037. View Details
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      Amano, Tomomichi. "Patch Technology: Making It Easy to Do the Right Thing." Harvard Business School Teaching Plan 525-043, January 2025.
      • 2025
      • Article

      Humor as a Window into Generative AI Bias

      By: Roger Samure, Julian De Freitas and Stefano Puntoni
      A preregistered audit of 600 images by generative AI across 150 different prompts explores the link between humor and discrimination in consumer-facing AI solutions. When ChatGPT updates images to make them “funnier”, the prevalence of stereotyped groups changes. While... View Details
      Keywords: AI and Machine Learning; Demographics; Prejudice and Bias
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      Samure, Roger, Julian De Freitas, and Stefano Puntoni. "Humor as a Window into Generative AI Bias." Art. 1326. Scientific Reports 15 (2025).
      • January 2025
      • Case

      Real Madrid Club de Fútbol

      By: Anita Elberse, Juan Pasquín and Íñigo Pasquín
      On June 1, 2024, Spanish soccer club Real Madrid captures its fifteenth Champions League title—more than double the tally of the nearest competitor. Under Florentino Pérez’s leadership, the club has now won six of the last eleven UEFA Champions League titles, and has... View Details
      Keywords: Soccer; Football; Entertainment; Media; Talent Management; Superstars; General Management; Sports; Marketing; Recruitment; Competitive Strategy; Growth and Development Strategy; Sports Industry; Entertainment and Recreation Industry; Media and Broadcasting Industry
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      Elberse, Anita, Juan Pasquín, and Íñigo Pasquín. "Real Madrid Club de Fútbol." Harvard Business School Case 525-026, January 2025.
      • January 2025
      • Article

      Reducing Prejudice with Counter-stereotypical AI

      By: Erik Hermann, Julian De Freitas and Stefano Puntoni
      Based on a review of relevant literature, we propose that the proliferation of AI with human-like and social features presents an unprecedented opportunity to address the underlying cognitive and affective drivers of prejudice. An approach informed by the psychology of... View Details
      Keywords: Prejudice and Bias; AI and Machine Learning; Interpersonal Communication; Social and Collaborative Networks
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      Hermann, Erik, Julian De Freitas, and Stefano Puntoni. "Reducing Prejudice with Counter-stereotypical AI." Consumer Psychology Review 8, no. 1 (January 2025): 75–86.
      • January–February 2025
      • Article

      Why People Resist Embracing AI

      By: Julian De Freitas
      The success of AI depends not only on its capabilities, which are becoming more advanced each day, but on people’s willingness to harness them. Unfortunately, many people view AI negatively, fearing it will cause job losses, increase the likelihood that their personal... View Details
      Keywords: AI and Machine Learning; Technology Adoption; Perception
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      De Freitas, Julian. "Why People Resist Embracing AI." Harvard Business Review 103, no. 1 (January–February 2025): 52–56.
      • January–February 2025
      • Article

      Why People Resist Embracing AI: The Five Main Obstacles—and How To Overcome Them

      By: Julian De Freitas
      The success of AI depends not only on its capabilities, which are becoming more advanced each day, but on people’s willingness to harness them. Unfortunately, many people view AI negatively, fearing it will cause job losses, increase the likelihood that their personal... View Details
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      De Freitas, Julian. "Why People Resist Embracing AI: The Five Main Obstacles—and How To Overcome Them." Harvard Business Review 103, no. 1 (January–February 2025).
      • December 2024
      • Teaching Note

      Assessing the Value of Unifying and De-duplicating Customer Data

      By: Elie Ofek and Hema Yoganarasimhan
      Teaching Note for HBS Case No. 525-023. View Details
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      Ofek, Elie, and Hema Yoganarasimhan. "Assessing the Value of Unifying and De-duplicating Customer Data." Harvard Business School Teaching Note 525-033, December 2024.
      • December 2024
      • Case

      AC Milan

      By: Anita Elberse
      In April 2024, Giorgio Furlani is nearing the end of his first full season as chief executive officer of Italian soccer club AC Milan. A Harvard Business School Class of 2007 graduate with a finance background, Furlani was appointed by RedBird Capital Partners’ founder... View Details
      Keywords: Sports; Soccer; Football; Entertainment; Media; Talent Management; Superstars; Marketing; Strategy; General Management; Mergers and Acquisitions; Leadership; Business Strategy; Competitive Strategy; Business or Company Management; Sports Industry; Milan
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      Elberse, Anita. "AC Milan." Harvard Business School Case 525-025, December 2024.
      • December 2024 (Revised March 2025)
      • Case

      WayCool: Addressing Food Loss

      By: Rajiv Lal and Kairavi Dey
      Headquartered in Chennai, India, WayCool started by focusing on solving the growing challenge of food losses and low farmer incomes. Dasari and Jayaraman, surprised at the amount of fruits and vegetables lost in the agricultural supply chain, set up the company with... View Details
      Keywords: Agribusiness; Entrepreneurship; Business Model; Food; Supply Chain; Loss; Expansion; Distribution Channels; Agriculture and Agribusiness Industry; Asia; India; Bangalore; Chennai
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      Lal, Rajiv, and Kairavi Dey. "WayCool: Addressing Food Loss." Harvard Business School Case 525-041, December 2024. (Revised March 2025.)
      • November 2024 (Revised January 2025)
      • Case

      Precision Agriculture at AGCO

      By: Rajiv Lal, Alicia Dadlani and Ai-Ling Jamila Malone
      In 2024, AGCO, a leading agricultural equipment manufacturer, sought to improve its customers net farm income by 20% over five years by becoming a comprehensive one-stop precision agriculture solutions provider and strengthening its dual channel sales approach—retrofit... View Details
      Keywords: Mergers and Acquisitions; Customer Relationship Management; Collaborative Innovation and Invention; Organizational Culture; Sales; Alignment; Integration; Agriculture and Agribusiness Industry; Manufacturing Industry
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      Lal, Rajiv, Alicia Dadlani, and Ai-Ling Jamila Malone. "Precision Agriculture at AGCO." Harvard Business School Case 525-032, November 2024. (Revised January 2025.)
      • 2025
      • Working Paper

      Why Most Resist AI Companions

      By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp and Stefano Puntoni
      AI companion applications—designed to serve as synthetic interaction partners—have recently become capable enough to reduce loneliness, a growing public health concern. However, behavioral research has yet to fully explain the barriers to adoption of such AI and... View Details
      Keywords: Generative Ai; Chatbots; Artificial Intelligence; Algorithmic Aversion; Lonelines; Technology Adoption; AI and Machine Learning; Well-being; Emotions
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      De Freitas, Julian, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp, and Stefano Puntoni. "Why Most Resist AI Companions." Harvard Business School Working Paper, No. 25-030, December 2024. (Revised May 2025.)
      • November 2024 (Revised April 2025)
      • Case

      Cheerful Music

      By: Shunyuan Zhang, Feng Zhu and Nancy Hua Dai
      Established by Snow Jiang in 2019 in Shenzhen, China, Cheerful Music was a record label company that had created many hit songs in China. “Yi Xiao Jiang Hu,” its most famous hit song, gained billions of views on social media platforms in China and overseas as the... View Details
      Keywords: Generative Ai; Music Entertainment; Global Strategy; Business Model; AI and Machine Learning; Market Entry and Exit; Music Industry; China; United Kingdom; London
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      Zhang, Shunyuan, Feng Zhu, and Nancy Hua Dai. "Cheerful Music." Harvard Business School Case 525-031, November 2024. (Revised April 2025.)
      • November 2024
      • Case

      Ather Energy: The Future of Mobility

      By: Shunyuan Zhang, Kannan Srinivasan and Malini Sen
      Ather Energy, India’s third-largest electric scooter maker by volume, was founded in 2013. Five years later, the start-up launched its first electric scooter, Ather 450, which was powered by artificial intelligence (AI) and the Internet of Things (IoT), to navigate... View Details
      Keywords: Energy Policy; Climate Change; Alternative Energy; Corporate Entrepreneurship; Transportation; Transformation; Green Technology; Technology Adoption; Communication Strategy; Marketing Strategy; Customer Focus and Relationships; Business Startups; Growth and Development Strategy; Brands and Branding; Product Launch; Product Positioning; Business Strategy; Segmentation; Asia; India
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      Zhang, Shunyuan, Kannan Srinivasan, and Malini Sen. "Ather Energy: The Future of Mobility." Harvard Business School Case 525-040, November 2024.
      • November 2024
      • Article

      Preference Externality Estimators: A Comparison of Border Approaches and IVs

      By: Xi Ling, Wesley R. Hartmann and Tomomichi Amano
      This paper compares two estimators—the Border Approach and an Instrumental Variable (IV) estimator—using a unified framework where identifying variation arises from “preference externalities,” following the intuition in Waldfogel (2003). We highlight two dimensions in... View Details
      Keywords: Econometrics; Casual Inference; Marketing; Economics; Advertising; Mathematical Methods
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      Ling, Xi, Wesley R. Hartmann, and Tomomichi Amano. "Preference Externality Estimators: A Comparison of Border Approaches and IVs." Management Science 70, no. 11 (November 2024): 7892–7910.
      • October 2024
      • Case

      Allurion: Competing in the Age of GLP-1

      By: Satish Tadikonda, Rajiv Lal, David Lane and Sarah Sasso
      Shantanu Gaur had built Allurion into a formidable business internationally, providing obesity patients with a less invasive option long before GLP-1 drugs became the latest craze. Selling Allurion's medical device across 60+ countries, he awaited FDA approval to bring... View Details
      Keywords: Corporate Entrepreneurship; Health Care and Treatment; Global Strategy; Competitive Strategy; Medical Devices and Supplies Industry; Health Industry; United States; United Kingdom; France; India; Brazil; Middle East
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      Tadikonda, Satish, Rajiv Lal, David Lane, and Sarah Sasso. "Allurion: Competing in the Age of GLP-1." Harvard Business School Case 525-011, October 2024.
      • October 2024 (Revised February 2025)
      • Case

      AI and Brand Management: Promises and Perils

      By: Julian De Freitas and Elie Ofek
      As AI gains traction across industries, companies anticipate that AI will revolutionize both backend processes and customer-facing interactions—with brands eager to leverage AI for tailored marketing materials and automated consumer engagements. Yet, despite a dramatic... View Details
      Keywords: AI and Machine Learning; Brands and Branding; Reputation; Technology Adoption; Competitive Advantage
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      De Freitas, Julian, and Elie Ofek. "AI and Brand Management: Promises and Perils." Harvard Business School Case 525-021, October 2024. (Revised February 2025.)
      • 2025
      • Working Paper

      Lessons from an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships

      By: Julian De Freitas, Noah Castelo, Ahmet Kaan Uğuralp and Zeliha Oğuz-Uğuralp
      As consumers increasingly interact with AI applications specialized for social relationships, what is the nature and depth of these relationships among actual users, and can company actions influence these dynamics? We find that active users of the US-based AI... View Details
      Keywords: AI and Machine Learning; Welfare; Loss; Well-being; Identity; Perception; Relationships
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      De Freitas, Julian, Noah Castelo, Ahmet Kaan Uğuralp, and Zeliha Oğuz-Uğuralp. "Lessons from an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships." Harvard Business School Working Paper, No. 25-018, October 2024. (Revised May 2025.)
      • October 2024
      • Article

      Canary Categories

      By: Eric Anderson, Chaoqun Chen, Ayelet Israeli and Duncan Simester
      Past customer spending in a category is generally a positive signal of future customer spending. We show that there exist “canary categories” for which the reverse is true. Purchases in these categories are a signal that customers are less likely to return to that... View Details
      Keywords: Churn; Churn Management; Churn/retention; Assortment Planning; Retail; Retailing; Retailing Industry; Preference Heterogeneity; Assortment Optimization; Customers; Retention; Consumer Behavior; Forecasting and Prediction; Retail Industry
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      Anderson, Eric, Chaoqun Chen, Ayelet Israeli, and Duncan Simester. "Canary Categories." Journal of Marketing Research (JMR) 61, no. 5 (October 2024): 872–890.
      • September 23, 2024
      • Article

      AI Wants to Make You Less Lonely. Does It Work?

      By: Julian De Freitas
      Keywords: AI and Machine Learning; Well-being
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      De Freitas, Julian. "AI Wants to Make You Less Lonely. Does It Work?" Wall Street Journal (September 23, 2024), R.11.
      • September 2024
      • Supplement

      Assessing the Value of Unifying and De-Duplicating Customer Data Spreadsheet Supplement

      By: Elie Ofek
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      Ofek, Elie. "Assessing the Value of Unifying and De-Duplicating Customer Data Spreadsheet Supplement." Harvard Business School Spreadsheet Supplement 525-701, September 2024.
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