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      • January 2025
      • Case

      Ontra: Embracing GenAI in the Legal Technology Industry

      By: Christopher Stanton and George Gonzalez
      Ontra built a network of legal professionals to enable financial institutions to outsource contract negotiations. The rise of generative AI inspired the company to build software solutions to streamline its processes through automation. Now company leadership must... View Details
      Keywords: Transformation; AI and Machine Learning; Applications and Software; Organizational Change and Adaptation; Organizational Culture; Business Strategy; Technology Industry; Legal Services Industry; United States
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      Stanton, Christopher, and George Gonzalez. "Ontra: Embracing GenAI in the Legal Technology Industry." Harvard Business School Case 825-076, January 2025.
      • January–February 2025
      • Article

      Want Your Company to Get Better at Experimentation?: Learn Fast by Democratizing Testing

      By: Iavor Bojinov, David Holtz, Ramesh Johari, Sven Schmit and Martin Tingley
      For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and maintain a competitive edge. The widespread availability and lower... View Details
      Keywords: Technological Innovation; AI and Machine Learning; Analytics and Data Science; Product Development; Competitive Advantage
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      Bojinov, Iavor, David Holtz, Ramesh Johari, Sven Schmit, and Martin Tingley. "Want Your Company to Get Better at Experimentation? Learn Fast by Democratizing Testing." Harvard Business Review 103, no. 1 (January–February 2025): 96–103.
      • December 2024 (Revised January 2025)
      • Technical Note

      A Guide to the Vocabulary, Evolution, and Impact of Artificial Intelligence (AI)

      By: Shane Greenstein, Nathaniel Lovin, Scott Wallsten, Kerry Herman and Susan Pinckney
      A note on the vocabulary, evolution, and impact of AI. View Details
      Keywords: Artificial Intelligence; Software; AI and Machine Learning; Technology Adoption; Technological Innovation; Technology Industry
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      Greenstein, Shane, Nathaniel Lovin, Scott Wallsten, Kerry Herman, and Susan Pinckney. "A Guide to the Vocabulary, Evolution, and Impact of Artificial Intelligence (AI)." Harvard Business School Technical Note 625-039, December 2024. (Revised January 2025.)
      • 2024
      • Working Paper

      Scaling Core Earnings Measurement with Large Language Models

      By: Matthew Shaffer and Charles CY Wang
      We study the application of large language models (LLMs) to the estimation of core earnings, i.e., a firm's persistent profitability from its core business activities. This construct is central to investors' assessments of economic performance and valuations. However,... View Details
      Keywords: Large Language Models; AI and Machine Learning; Accounting; Profit; Corporate Disclosure; Analytics and Data Science; Measurement and Metrics
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      Shaffer, Matthew, and Charles CY Wang. "Scaling Core Earnings Measurement with Large Language Models." Working Paper, November 2024.
      • November 2024 (Revised January 2025)
      • Case

      Balancing Impact: Modeling the Future at British International Investment

      By: Shawn Cole and Jonah Zahnd
      In 2022, British International Investment (BII), the £8.1 billion development finance arm of the British government, implemented a new impact measurement system called the Impact Score to align its financial and impact objectives systematically. The tool was designed... View Details
      Keywords: Investment Portfolio; Measurement and Metrics; Corporate Social Responsibility and Impact; Alignment; United Kingdom
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      Cole, Shawn, and Jonah Zahnd. "Balancing Impact: Modeling the Future at British International Investment." Harvard Business School Case 225-047, November 2024. (Revised January 2025.)
      • November 2024
      • Supplement

      Epic Games: Nineteen Eighty-Fortnite (B)

      By: Andy Wu and Ronald Wang
      In a significant ruling on April 24, 2023, the U.S. Court of Appeals for the Ninth Circuit upheld portions of the district court’s decision against Epic Games back in September 2021. However, Apple’s anti-steering provisions, which restricted app developers from... View Details
      Keywords: Lawsuits and Litigation; Market Transactions; Applications and Software; Technology Industry; Video Game Industry
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      Wu, Andy, and Ronald Wang. "Epic Games: Nineteen Eighty-Fortnite (B)." Harvard Business School Supplement 725-400, November 2024.
      • October 2024
      • Teaching Plan

      Teamworks: Tackling a Forecasting Fumble

      By: Lou Shipley and Stacy Straaberg
      In late March 2018, Teamworks CEO Zach Maurides learned Q1 2018 sales were at risk for a large forecasting miss. Founded in 2004, Teamworks’s software application assisted support staff in messaging, scheduling, and sharing documents with collegiate and professional... View Details
      Keywords: Acquisition; Business Growth and Maturation; Communication Strategy; Decisions; Forecasting and Prediction; Business Cycles; Technological Innovation; Sports; Growth and Development Strategy; Resource Allocation; Marketing; Sales; Business Strategy; Expansion; Sports Industry; Technology Industry; United States; North Carolina
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      Shipley, Lou, and Stacy Straaberg. "Teamworks: Tackling a Forecasting Fumble." Harvard Business School Teaching Plan 825-003, October 2024.
      • 2025
      • Working Paper

      Generative AI and the Nature of Work

      By: Manuel Hoffmann, Sam Boysel, Frank Nagle, Sida Peng and Kevin Xu
      Recent advances in artificial intelligence (AI) technology demonstrate a considerable potential to complement human capital intensive activities. While an emerging literature documents wide-ranging productivity effects of AI, relatively little attention has been paid... View Details
      Keywords: Generative Ai; Digital Work; Open Source Software; Knowledge Economy; AI and Machine Learning; Open Source Distribution; Organizational Structure; Performance Productivity; Labor
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      Hoffmann, Manuel, Sam Boysel, Frank Nagle, Sida Peng, and Kevin Xu. "Generative AI and the Nature of Work." Harvard Business School Working Paper, No. 25-021, October 2024. (Revised April 2025.)
      • 2024
      • Working Paper

      Case Studies of the Emulation of Chinese Entrepreneurial Business Models

      By: Josh Lerner, Junxi Liu, Jacob Moscona and David Yang
      This working paper presents four short case studies of emerging market businesses whose founders emulated Chinese firms. These examples are part of a more systematic pattern, documented extensively in Lerner et al. (2024), in which businesses developed in China were... View Details
      Keywords: Emerging Markets; Business Ventures
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      Lerner, Josh, Junxi Liu, Jacob Moscona, and David Yang. "Case Studies of the Emulation of Chinese Entrepreneurial Business Models." Harvard Business School Working Paper, No. 25-017, September 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
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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 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; Food and Beverage Industry; Food and Beverage 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.
      • 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 2024
      • Case

      Nvidia, Inc. in 2024 and the Future of AI

      By: David B. Yoffie and Sarah von Bargen
      Nvidia was one of the most successful companies in the world, reaching $3.4 trillion in valuation on June 18th, 2024. While Microsoft and Apple quickly recaptured the value crown, some analysts forecasted that Nvidia was so strongly positioned that it might become the... View Details
      Keywords: Customer Value and Value Chain; Price; Technological Innovation; Competition; Vertical Integration; Valuation; Technology Industry
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      Yoffie, David B., and Sarah von Bargen. "Nvidia, Inc. in 2024 and the Future of AI." Harvard Business School Case 725-360, September 2024.
      • 2024
      • Book

      Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity

      By: Karen G. Mills
      The second edition of Fintech, Small Business & the American Dream, builds on the groundbreaking 2019 book with new insights on how technology and artificial intelligence are transforming small business lending. This ambitious view covers the significance of... View Details
      Keywords: Fintech; AI; AI and Machine Learning; Small Business; Economy; Technology Adoption; Credit; Financing and Loans; Analytics and Data Science
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      Mills, Karen G. Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity. 2nd Edition, NY: Palgrave Macmillan, 2024.
      • July 2024
      • Technical Note

      Version Control and Web Deployment

      By: Michael Parzen and Jo Ellery
      This note introduces version control using Git and GitHub, with an example covering how to make simple web applications. View Details
      Keywords: Applications and Software
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      Parzen, Michael, and Jo Ellery. "Version Control and Web Deployment." Harvard Business School Technical Note 625-018, July 2024.
      • July 2024
      • Article

      Chatbots and Mental Health: Insights into the Safety of Generative AI

      By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp and Stefano Puntoni
      Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety... View Details
      Keywords: Autonomy; Chatbots; New Technology; Brand Crises; Mental Health; Large Language Model; AI and Machine Learning; Behavior; Well-being; Technological Innovation; Ethics
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      De Freitas, Julian, Ahmet Kaan Uğuralp, Zeliha Uğuralp, and Stefano Puntoni. "Chatbots and Mental Health: Insights into the Safety of Generative AI." Journal of Consumer Psychology 34, no. 3 (July 2024): 481–491.
      • July–August 2024
      • Article

      Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals

      By: Ta-Wei Huang and Eva Ascarza
      Firms are increasingly interested in developing targeted interventions for customers with the best response, which requires identifying differences in customer sensitivity, typically through the conditional average treatment effect (CATE) estimation. In theory, to... View Details
      Keywords: Long-run Targeting; Heterogeneous Treatment Effect; Statistical Surrogacy; Customer Churn; Field Experiments; Consumer Behavior; Customer Focus and Relationships; AI and Machine Learning; Marketing Strategy
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      Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Marketing Science 43, no. 4 (July–August 2024): 863–884.
      • 2024
      • Working Paper

      Navigating Software Vulnerabilities: Eighteen Years of Evidence from Medium and Large U.S. Organizations

      By: Raviv Murciano-Goroff, Ran Zhuo and Shane Greenstein
      How prevalent are severe software vulnerabilities, how fast do software users respond to the availability of secure versions, and what determines the variance in the installation distribution? Using the largest dataset ever assembled on user updates, tracking server... View Details
      Keywords: Cybersecurity; Applications and Software; Technology Adoption; Consumer Behavior
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      Murciano-Goroff, Raviv, Ran Zhuo, and Shane Greenstein. "Navigating Software Vulnerabilities: Eighteen Years of Evidence from Medium and Large U.S. Organizations." NBER Working Paper Series, No. 32696, July 2024.
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