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      • October 2024 (Revised June 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; Technology Industry; Technology Industry; Technology Industry; United States; China; Taiwan
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      Wu, Andy, and Matt Higgins. "Nvidia." Harvard Business School Case 725-383, October 2024. (Revised June 2025.)
      • October 2024
      • Case

      Parexel: Scaling Up and Industry Dynamics

      By: Regina E. Herzlinger and Ben Creo
      Through the lens of biopharmaceutical contract research organization (CRO) PAREXEL, this case traces the evolution of the firm as it reinvents itself in response to the transformation of the CRO sector from a small, secondary cluster of firms into a major player with... View Details
      Keywords: Research; Innovation and Invention; Business Model; Transformation; Globalization; Information Technology; Competitive Advantage; Pharmaceutical Industry
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      Herzlinger, Regina E., and Ben Creo. "Parexel: Scaling Up and Industry Dynamics." Harvard Business School Case 325-046, October 2024.
      • 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; Health 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
      • Case

      EU's Digital Services Act and Digital Markets Act

      By: David B. Yoffie and Sarah von Bargen
      Since the early 2020s, the EU began passing regulations on digital platforms and their marketplaces. One of the first was the Digital Services Act package, consisting of the Digital Services Act (DSA) and the Digital Markets Act (DMA). These regulations were focused on... View Details
      Keywords: Digital Platforms; E-commerce; Governing Rules, Regulations, and Reforms; Cybersecurity; European Union
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      Yoffie, David B., and Sarah von Bargen. "EU's Digital Services Act and Digital Markets Act." Harvard Business School Case 725-372, 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.
      • 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.)
      • September–October 2024
      • Article

      Boards Need a New Approach to Technology

      By: Tarun Khanna, Mary C. Beckerle and Nabil Y. Sakkab
      The boards of too many publicly traded companies are downright timid when considering matters involving science and technology. More often than not, they focus on security and digitization—a defensive posture that fails to consider the bigger opportunities emerging... View Details
      Keywords: Governing and Advisory Boards; Opportunities; Technology Adoption
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      Khanna, Tarun, Mary C. Beckerle, and Nabil Y. Sakkab. "Boards Need a New Approach to Technology." Harvard Business Review 102, no. 5 (September–October 2024): 128–137.
      • 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.)
      • October 2024
      • Article

      Strategic Decision Making at Platform Transitions: The Case of Nokia (2010-2011).

      By: Timo O. Vuori and Michael Tushman
      We studied Nokia’s decision to adopt the Windows platform in 2011 to induce new theory on the emotional dynamics of incumbent firms’ strategic decision making at platform transitions. We find that platform companies’ entry into an established industry activates a... View Details
      Keywords: Emotions; Technology Adoption; Corporate Strategy; Transition
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      Vuori, Timo O., and Michael Tushman. "Strategic Decision Making at Platform Transitions: The Case of Nokia (2010-2011)." Strategic Management Journal 45, no. 10 (October 2024): 2018–2062.
      • 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 (Revised March 2025)
      • Supplement

      Wemade: (Re)Establishing Trust in Blockchain Games (B)

      By: Jung Koo Kang, Charles C.Y. Wang, David Allen and Kwangmoon So
      This supplement reviews Wemade's efforts to rebuild confidence in its business after its WEMIX coin was delisted from the major South Korean cryptocurrency exchanges on December 8, 2022. It outlines Wemade's strategy of transparency, which included partnerships with... View Details
      Keywords: Blockchain; Cryptocurrency; Crypto Economy; Accounting; Financial Reporting; Revenue Recognition; Games, Gaming, and Gambling; Corporate Disclosure; Information Technology; Financial Markets; Governance; Accounting Industry; Video Game Industry; South Korea
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      Kang, Jung Koo, Charles C.Y. Wang, David Allen, and Kwangmoon So. "Wemade: (Re)Establishing Trust in Blockchain Games (B)." Harvard Business School Supplement 125-018, September 2024. (Revised March 2025.)
      • 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.
      • September 2024 (Revised March 2025)
      • Case

      Epic: The Future of Health Information Technology

      By: Regina E. Herzlinger and Brian L. Walker
      How should the founder and leadership team of a health IT company with more than 45 years of market leadership prepare for the future, while navigating founder transitions and industry changes? Founded by Judy Faulkner in the late 1970s, Epic pioneered electronic... View Details
      Keywords: Technological Innovation; Entrepreneurship; Health Care and Treatment; Private Ownership; Customer Focus and Relationships; Information Management; Organizational Change and Adaptation; Business Strategy; Competition; Health Industry; Health Industry; Health Industry
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      Herzlinger, Regina E., and Brian L. Walker. "Epic: The Future of Health Information Technology." Harvard Business School Case 325-028, September 2024. (Revised March 2025.)
      • 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
      • Case

      Google Quantum AI

      By: David B. Yoffie, Michael A. Cusumano and Matt Higgins
      Quantum computing may be the most important nascent computing technology of the 21st century. It has the potential to impact industries ranging from drug discovery to cybersecurity. Google's Quantum AI is one of the leaders in quantum research. This case explores the... View Details
      Keywords: Business Model; Price; Technological Innovation; Resource Allocation; Business Strategy; Information Technology Industry
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      Yoffie, David B., Michael A. Cusumano, and Matt Higgins. "Google Quantum AI." Harvard Business School Case 725-362, September 2024.
      • September 2024
      • Exercise

      Assessing the Value of Unifying and De-Duplicating Customer Data

      By: Elie Ofek and Hema Yoganarasimhan
      This exercise provides an opportunity for students to gain hands on experience with assessing the value of unifying various customer databases that a firm may have (e.g., across the different brands it markets) and of properly identifying customers to avoid duplication... View Details
      Keywords: Customer Relationship Management; Measurement and Metrics; Analytics and Data Science; Value
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      Ofek, Elie, and Hema Yoganarasimhan. "Assessing the Value of Unifying and De-Duplicating Customer Data." Harvard Business School Exercise 525-023, September 2024.
      • September 2024
      • Case

      Eat App: Building and Monetizing an End-to-End Dining Experience Solution

      By: Elie Ofek and Ahmed Dahawy
      Founded in 2015 in Bahrain, Eat App was an up-and-coming player in the global restaurant management software business. In early 2024, having shifted to a product-led growth strategy, the company’s co-founders faced a host of decisions that could greatly impact their... View Details
      Keywords: Price; Growth and Development Strategy; Product Marketing; Negotiation Deal; Internet and the Web; Value Creation; Profit; Revenue; Applications and Software; Product; Technology Industry; Technology Industry; Bahrain; United Arab Emirates; Abu Dhabi; Dubai
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      Ofek, Elie, and Ahmed Dahawy. "Eat App: Building and Monetizing an End-to-End Dining Experience Solution." Harvard Business School Case 525-019, September 2024.
      • 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.
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