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      • October 2024 (Revised February 2025)
      • Case

      Lanco Medical Group: Fostering Happiness for Growth

      By: Susanna Gallani, Jenyfeer Martínez Buitrago and Katherine Sonnefeldt
      This case describes how Lanco Medical Group, a fast-growing pharmaceutical distributor serving Latin America, approached the design of their employee benefits and incentives program. After learning about gaps between what leadership believed motivated employees and... View Details
      Keywords: Fairness; Compensation and Benefits; Retention; Growth Management; Motivation and Incentives; Expansion; Pharmaceutical Industry; Latin America
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      Gallani, Susanna, Jenyfeer Martínez Buitrago, and Katherine Sonnefeldt. "Lanco Medical Group: Fostering Happiness for Growth." Harvard Business School Case 125-062, October 2024. (Revised February 2025.)
      • October 2024 (Revised April 2025)
      • Case

      Nvidia

      By: Andy Wu and Matt Higgins
      This case study examines Nvidia's strategic pivot from gaming GPUs to becoming a leader in general-purpose computing and AI. It explores how Nvidia leveraged its GPU architecture to dominate the growing fields of data center acceleration and AI training, outpacing... View Details
      Keywords: Strategy; Technological Innovation; AI and Machine Learning; Product Development; Manufacturing Industry; Technology Industry; Electronics Industry; United States; China; Taiwan
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      Wu, Andy, and Matt Higgins. "Nvidia." Harvard Business School Case 725-383, October 2024. (Revised April 2025.)
      • October 2024
      • Technical Note

      Association Rule Learning

      By: Michael Parzen and Jo Ellery
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      Parzen, Michael, and Jo Ellery. "Association Rule Learning." Harvard Business School Technical Note 625-065, October 2024.
      • October 2024
      • Technical Note

      Prompt Engineering

      By: Michael Parzen and Jo Ellery
      This note covers the basics of prompt engineering, a key tool for making use of modern generative AI. We discuss the principles of prompt engineering and illustrate these principles with techniques for asking questions. We further list the types of prompts that can be... View Details
      Keywords: Large Language Model; AI and Machine Learning
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      Parzen, Michael, and Jo Ellery. "Prompt Engineering." Harvard Business School Technical Note 625-056, October 2024.
      • October 2024
      • Case

      Reed Group and Succession in a Family Business: An Impossible Job to Fill?

      By: Lauren H. Cohen and Tonia Labruyere
      James Reed had taken over Reed Group, the recruitment and career services company his father had founded and built, in 1994. He was now reflecting on succession planning and other challenges that lay ahead: with no obvious choice among his family members, he needed to... View Details
      Keywords: Charity; Succession Planning; Family Business; Values and Beliefs; Management Succession; Mission and Purpose; Family Ownership; Philanthropy and Charitable Giving; Family and Family Relationships; Recruitment; AI and Machine Learning; Employment Industry; United Kingdom; London
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      Cohen, Lauren H., and Tonia Labruyere. "Reed Group and Succession in a Family Business: An Impossible Job to Fill?" Harvard Business School Case 825-084, October 2024.
      • 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.)
      • 2025
      • Working Paper

      Global Evidence on Gender Gaps and Generative AI

      By: Nicholas G. Otis, Solène Delecourt, Katelynn Cranney and Rembrand Koning
      Generative AI has the potential to transform productivity and reduce inequality, but only if adopted broadly. In this paper, we show that recently identified gender gaps in generative AI use are nearly universal. Synthesizing data from 18 studies covering more than... View Details
      Keywords: AI and Machine Learning; Gender; Equality and Inequality; Technology Adoption; Behavior
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      Otis, Nicholas G., Solène Delecourt, Katelynn Cranney, and Rembrand Koning. "Global Evidence on Gender Gaps and Generative AI." Harvard Business School Working Paper, No. 25-023, October 2024. (Revised January 2025.)
      • 2024
      • Working Paper

      Priors, Experiments, Learning and Persuasion in (Bayesian) Entrepreneurial Finance

      By: Ramana Nanda
      At the heart of entrepreneurial finance lies a persuasion challenge: regardless of the strength of an entrepreneur’s belief in the potential of their idea, they typically need to convince investors to provide the financial capital required for its... View Details
      Keywords: Entrepreneurial Finance; Business Startups; Communication Intention and Meaning; Prejudice and Bias
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      Nanda, Ramana. "Priors, Experiments, Learning and Persuasion in (Bayesian) Entrepreneurial Finance." Harvard Business School Working Paper, No. 25-020, October 2024.
      • 2025
      • Book

      Retiring: Creating a Life That Works for You

      By: Teresa M. Amabile, Lotte Bailyn, Marcy Crary, Douglas T. Hall and Kathy E. Kram
      Retirement, as a major life transition, can be both thrilling and challenging in unexpected ways. Written by acclaimed authors in the fields of business leadership, careers, and work, this book goes beyond the typical financial and health-related advice on retirement,... View Details
      Keywords: Retirement
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      Amabile, Teresa M., Lotte Bailyn, Marcy Crary, Douglas T. Hall, and Kathy E. Kram. Retiring: Creating a Life That Works for You. Routledge, 2025.
      • September–October 2024
      • Article

      The Crowdless Future? Generative AI and Creative Problem-Solving

      By: Léonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic and Karim R. Lakhani
      The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy... View Details
      Keywords: Large Language Models; Generative Ai; Crowdsourcing; AI and Machine Learning; Creativity; Technological Innovation
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      Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? Generative AI and Creative Problem-Solving." Organization Science 35, no. 5 (September–October 2024): 1589–1607.
      • September 2024
      • Case

      Xendit: Hiring for Growth

      By: Jeffrey F. Rayport, Steve Castano, Quoc Anh Nguyen and Claire Wu
      In 2019, Xendit, a growth-stage Southeast Asia (SEA) fintech venture based in Jakarta, was looking to hire a Head of Sales and Head of Product to lead its next phase of growth. Founded by Moses Lo and Tessa Wijaya, Xendit provided payment infrastructure, modeling... View Details
      Keywords: Fintech; Financing and Loans; Entrepreneurship; Jobs and Positions; Sales; Product; Growth and Development; Selection and Staffing; Organizational Culture; Expansion; Financial Services Industry; Technology Industry; Southeast Asia; Indonesia; Philippines
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      Rayport, Jeffrey F., Steve Castano, Quoc Anh Nguyen, and Claire Wu. "Xendit: Hiring for Growth." Harvard Business School Case 825-046, September 2024.
      • September 2024
      • Background Note

      Copyright and Fair Use

      By: David B. Yoffie
      The U.S. Copyright Office defines a copyright as “a type of intellectual property that protects original works of authorship as soon as an author fixes the work in a tangible form of expression.” Two core principles of copyright are originality and fixation. A work is... View Details
      Keywords: AI and Machine Learning; Copyright; Lawsuits and Litigation; United States
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      Yoffie, David B. "Copyright and Fair Use." Harvard Business School Background Note 725-394, September 2024.
      • September 2024
      • Exercise

      Finding Your 'Jagged Frontier': A Generative AI Exercise

      By: Mitchell Weiss
      In 2023 a set of scholars set out to study the effect of artificial intelligence (AI) on the quality and productivity of knowledge workers—in this specific instance, management consultants. They wanted to know across a range of tasks in a workflow, which, if any, would... View Details
      Keywords: AI and Machine Learning; Performance Productivity; Performance Evaluation; Consulting Industry
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      Weiss, Mitchell. "Finding Your 'Jagged Frontier': A Generative AI Exercise." Harvard Business School Exercise 825-070, September 2024.
      • 2024
      • Working Paper

      Changing Perceptions and Post-Pandemic Monetary Policy

      By: Michael D. Bauer, Carolin Pflueger and Adi Sunderam
      We document that the Fed’s perceived monetary policy response to inflation shifted materially over the post-pandemic period. In forward-looking policy rules estimated from surveys of macroeconomic forecasters, the inflation coefficient rose significantly after liftoff... View Details
      Keywords: Policy; Inflation and Deflation; Interest Rates; Perception; Government Administration
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      Bauer, Michael D., Carolin Pflueger, and Adi Sunderam. "Changing Perceptions and Post-Pandemic Monetary Policy." Working Paper, September 2024.
      • 2024
      • Working Paper

      Igniting Innovation: Evidence from PyTorch on Technology Control in Open Collaboration

      By: Daniel Yue and Frank Nagle
      Many companies offer free access to their technology to encourage outside addon innovation, hoping to later profit by raising prices or harnessing the power of the crowd while continuing to steer the direction of innovation. They can achieve this balance by opening... View Details
      Keywords: Technological Innovation; Power and Influence; Collaborative Innovation and Invention; Corporate Governance
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      Yue, Daniel, and Frank Nagle. "Igniting Innovation: Evidence from PyTorch on Technology Control in Open Collaboration." Harvard Business School Working Paper, No. 25-013, September 2024.
      • 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.
      • 2024
      • Working Paper

      Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python

      By: Melissa Ouellet and Michael W. Toffel
      This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in... View Details
      Keywords: Empirical Methods; Empirical Operations; Statistical Methods And Machine Learning; Statistical Interferences; Research Analysts; Analytics and Data Science; Mathematical Methods
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      Ouellet, Melissa, and Michael W. Toffel. "Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python." Harvard Business School Working Paper, No. 25-010, August 2024.
      • September 2024 (Revised January 2025)
      • Exercise

      Building an AI First Snack Company: A Hands-on Generative AI Exercise

      By: Iavor I. Bojinov
      Although the term 'Generative AI' (GenAI) is widely recognized, its practical application in daily workflows has yet to be understood. This exercise introduces students to GenAI tools, demonstrating how they can be seamlessly integrated into professional work practices... View Details
      Keywords: AI and Machine Learning; Technology Adoption; Marketing Strategy; Product Launch; Brands and Branding
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      Bojinov, Iavor I. "Building an AI First Snack Company: A Hands-on Generative AI Exercise." Harvard Business School Exercise 625-052, September 2024. (Revised January 2025.)
      • September–October 2024
      • Article

      How AI Can Power Brand Management

      By: Julian De Freitas and Elie Ofek
      Marketers have begun experimenting with AI to improve their brand-management efforts. But unlike other marketing tasks, brand management involves more than just repeatedly executing one specialized function. Long considered the exclusive domain of creative talent, it... View Details
      Keywords: Creativity; AI and Machine Learning; Brands and Branding; Product Positioning; Customer Focus and Relationships
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      De Freitas, Julian, and Elie Ofek. "How AI Can Power Brand Management." Harvard Business Review 102, no. 5 (September–October 2024): 108–114.
      • 2024
      • Article

      Learning Under Random Distributional Shifts

      By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler
      Algorithmic assignment of refugees and asylum seekers to locations within host countries has gained attention in recent years, with implementations in the U.S. and Switzerland. These approaches use data on past arrivals to generate machine learning models that can... View Details
      Keywords: AI and Machine Learning; Refugees; Employment
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      Bansak, Kirk, Elisabeth Paulson, and Dominik Rothenhäusler. "Learning Under Random Distributional Shifts." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 27th (2024).
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