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      • February 2024
      • Case

      Vespucci Partners: The New World of Venture Capital in Hungary

      By: Paul A. Gompers, Tonia Labruyere and Emilie Billaud
      Julia Sohajda was the young, female founding partner of the Hungarian VC firm Vespucci Partners, which focused on investing at seed stage into Hungarian deep tech startups and prepare them for a launch in the U.S market. Vespucci's first fund had largely been comprised... View Details
      Keywords: Venture Capital; Business Startups; Investment Funds; Financing and Loans; Entrepreneurship; Financial Services Industry; Hungary; United States
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      Gompers, Paul A., Tonia Labruyere, and Emilie Billaud. "Vespucci Partners: The New World of Venture Capital in Hungary." Harvard Business School Case 824-138, February 2024.
      • February 2024 (Revised July 2024)
      • Case

      Taffi: Entrepreneurship in Saudi Arabia

      By: Paul A. Gompers and Fares Khrais
      Taffi was a tech-enabled fashion styling startup founded by Shahad Geoffrey in Saudi Arabia in 2020. Within three years of operating, Geoffrey had pivoted the business multiple times. In 2023, Geoffrey was attempting the business’s most ambitious pivot yet, shifting... View Details
      Keywords: Business Startups; Disruption; Entrepreneurship; Venture Capital; Investment; Growth and Development Strategy; Business Strategy; AI and Machine Learning; Technology Industry; Technology Industry; Saudi Arabia; Arabian Peninsula
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      Gompers, Paul A., and Fares Khrais. "Taffi: Entrepreneurship in Saudi Arabia." Harvard Business School Case 224-052, February 2024. (Revised July 2024.)
      • February 2024
      • Teaching Note

      TimeCredit

      By: Emanuele Colonnelli, Raymond Kluender and Shai Benjamin Bernstein
      Teaching Note for HBS Case No. 824-139. TimeCredit is an artificial intelligence (AI) startup that is developing large language models (LLMs) to generate accounting memos. The case follows Ndonga Sagnia, a Gambian Harvard Business School MBA student with an accounting... View Details
      Keywords: Accounting; Business Startups; Entrepreneurship; Financing and Loans; AI and Machine Learning; Entrepreneurial Finance; Identity; Partners and Partnerships; Technology Industry
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      Colonnelli, Emanuele, Raymond Kluender, and Shai Benjamin Bernstein. "TimeCredit." Harvard Business School Teaching Note 824-171, February 2024.
      • February 2024 (Revised September 2024)
      • Case

      TimeCredit

      By: Emanuele Colonnelli, Raymond Kluender and Shai Benjamin Bernstein
      TimeCredit is an artificial intelligence (AI) startup that is developing large language models (LLMs) to generate accounting memos. The case follows Ndonga Sagnia, a Gambian Harvard Business School MBA student with an accounting background, as she decides how much... View Details
      Keywords: Accounting; Business Startups; Entrepreneurship; Financing and Loans; AI and Machine Learning; Entrepreneurial Finance; Identity; Technology Industry
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      Colonnelli, Emanuele, Raymond Kluender, and Shai Benjamin Bernstein. "TimeCredit." Harvard Business School Case 824-139, February 2024. (Revised September 2024.)
      • February 9, 2024
      • Article

      The Rise of Consumer Crypto

      By: Steve Kaczynski and Scott Duke Kominers
      Although non-fungible tokens are often misunderstood and even derided, they remain a general and flexible solution for establishing and tracking ownership in the digital domain. As a superior solution to existing technology in many areas of the consumer economy, their... View Details
      Keywords: Cryptocurrency; Crypto Economy; NFTs; Non-fungible Tokens; Internet Of Everything; Market Design; Technological Innovation; Demand and Consumers; Web Services Industry
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      Kaczynski, Steve, and Scott Duke Kominers. "The Rise of Consumer Crypto." Project Syndicate (February 9, 2024).
      • February 2024 (Revised March 2024)
      • Teaching Note

      X: The Foghorn Decision

      By: Kyle Myers and Walter Frick
      Teaching Note for HBS Case No. 618-060. View Details
      Keywords: Alternative Energy; Energy Generation; Energy Sources; Climate Change; Green Technology; Selection and Staffing; Knowledge; Product Design; Product Development; Research and Development; Risk and Uncertainty; Science-Based Business; Innovation and Invention; Green Technology Industry; Green Technology Industry; Green Technology Industry; Green Technology Industry; Green Technology Industry; Green Technology Industry; Green Technology Industry
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      Myers, Kyle, and Walter Frick. "X: The Foghorn Decision." Harvard Business School Teaching Note 624-065, February 2024. (Revised March 2024.)
      • 2024
      • Working Paper

      Platform Information Provision and Consumer Search: A Field Experiment

      By: Lu Fang, Yanyou Chen, Chiara Farronato, Zhe Yuan and Yitong Wang
      Despite substantial efforts to help consumers search in more intuitive ways, text search remains the predominant tool for product discovery online. In this paper, we explore the effects of visual and textual cues for search refinement on consumer search and purchasing... View Details
      Keywords: Consumer Behavior; E-commerce; Decision Choices and Conditions; Learning; Internet and the Web
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      Fang, Lu, Yanyou Chen, Chiara Farronato, Zhe Yuan, and Yitong Wang. "Platform Information Provision and Consumer Search: A Field Experiment." NBER Working Paper Series, No. 32099, February 2024.
      • Working Paper

      Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application

      By: Flora Feng, Charis Li and Shunyuan Zhang
      Peer-to-peer (P2P) marketplaces have seen exponential growth in recent years featured by unique offerings from individual providers. Despite the perceived value of uniqueness, scalable quantification of visual uniqueness in P2P platforms like Airbnb has been largely... View Details
      Keywords: Peer-to-peer Markets; Marketplace Matching; AI and Machine Learning; Demand and Consumers; Digital Platforms; Marketing
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      Feng, Flora, Charis Li, and Shunyuan Zhang. "Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application." SSRN Working Paper Series, No. 4665286, February 2024.
      • January 2024
      • Case

      The Financial Times (FT) and Generative AI

      By: Andrew Rashbass, Ramon Casadesus-Masanell and Jordan Mitchell
      In September 2023, John Ridding, CEO of the Financial Times, was considering the possible impact of Generative AI on the industry and his business. Having navigated successfully the seismic shift from print to digital, and reporting record results, the company... View Details
      Keywords: AI and Machine Learning; Technology Adoption; Change Management; Journalism and News Industry
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      Rashbass, Andrew, Ramon Casadesus-Masanell, and Jordan Mitchell. "The Financial Times (FT) and Generative AI." Harvard Business School Case 724-410, January 2024.
      • January 2024 (Revised January 2025)
      • Case

      Colbún and Chile's Energy Transition

      By: Forest Reinhardt, Jenyfeer Martinez Buitrago and Mariana Cal
      In May 2023, Colbún, Chile’s second-largest electricity generator, plans capacity expansions using renewable energy and storage. This strategy supports Chile’s commitment to carbon neutrality (also known as net zero emissions) by 2050. The case delves into the... View Details
      Keywords: Transition; Energy Generation; Renewable Energy; Climate Change; Investment; Governing Rules, Regulations, and Reforms; Infrastructure; Organizational Change and Adaptation; Expansion; Business Strategy; Energy Industry; Utilities Industry; Latin America; South America; Chile
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      Reinhardt, Forest, Jenyfeer Martinez Buitrago, and Mariana Cal. "Colbún and Chile's Energy Transition." Harvard Business School Case 724-026, January 2024. (Revised January 2025.)
      • January 2024 (Revised May 2024)
      • Case

      Private 5G Networks

      By: Andy Wu and Maggie Yang
      In the late 2010’s, 5G emerged as a new standard in communication technology. 5G was designed to enable ultra-reliable low-latency communications (URLLC), massive machine-type communication (MMTC), and enhanced mobile broadband (EMBB) (see Exhibit 1 for a detailed... View Details
      Keywords: 5G; Communication Technology; Mobile and Wireless Technology; Technological Innovation; Innovation Strategy; Telecommunications Industry
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      Wu, Andy, and Maggie Yang. "Private 5G Networks." Harvard Business School Case 724-430, January 2024. (Revised May 2024.)
      • 2024
      • Conference Paper

      Quantifying Uncertainty in Natural Language Explanations of Large Language Models

      By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal
      Large Language Models (LLMs) are increasingly used as powerful tools for several high-stakes natural language processing (NLP) applications. Recent prompting works claim to elicit intermediate reasoning steps and key tokens that serve as proxy explanations for LLM... View Details
      Keywords: Large Language Model; AI and Machine Learning
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      Lakkaraju, Himabindu, Sree Harsha Tanneru, and Chirag Agarwal. "Quantifying Uncertainty in Natural Language Explanations of Large Language Models." Paper presented at the Society for Artificial Intelligence and Statistics, 2024.
      • 2024
      • Report

      The Eco-Digital EraTM: The Dual Transition to a Sustainable and Digital Economy

      By: Suraj Srinivasan, Andy Feinstein, Amol Khadikar, Jiani Zhang, Noémie Lauer, Hiral Shah, Sally Epstein, Jerome Buvat and Vaishnavee Ananth
      Since the proliferation of smartphones and social media in the late 2000s, digital has captured an increasingly large portion of the economy. In this Capgemini Research Institute report, The Eco-Digital EraTM: The dual transition to a sustainable and... View Details
      Keywords: Technology Adoption; Digital Transformation; Environmental Sustainability; Trends
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      Srinivasan, Suraj, Andy Feinstein, Amol Khadikar, Jiani Zhang, Noémie Lauer, Hiral Shah, Sally Epstein, Jerome Buvat, and Vaishnavee Ananth. "The Eco-Digital EraTM: The Dual Transition to a Sustainable and Digital Economy." Report, Capgemini Research Institute, January 2024.
      • December 2023 (Revised November 2024)
      • Case

      Generative AI and the Future of Work

      By: Christopher Stanton, Matt Higgins, Shira Aronson and Meg Shriber
      Generative AI seemed poised to reshape the world of work, including the higher-wage, white-collar jobs typically pursued by MBA graduates. Informed by the latest research, this case explores generative AI's potential impacts on work, productivity, value creation, and... View Details
      Keywords: AI; Future Of Work; Labor Market; AI and Machine Learning; Labor; Value Creation; Performance Productivity; Technology Industry; United States
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      Stanton, Christopher, Matt Higgins, Shira Aronson, and Meg Shriber. "Generative AI and the Future of Work." Harvard Business School Case 824-130, December 2023. (Revised November 2024.)
      • December 2023 (Revised February 2024)
      • Case

      Transforming Healthcare Delivery at Karolinska University Hospital

      By: Susanna Gallani, Mary Witkowski, Elena Corsi and Nikolina Jonsson
      The case study examines the journey toward value-based healthcare at Karolinska University Hospital. The hospital's ambitious shift to a patient-centered care delivery model, accompanied by the construction of a new facility, encountered challenges such as high costs,... View Details
      Keywords: Change Management; Transformation; Transition; Business Organization; Communication Strategy; Information Infrastructure; Service Delivery; Organizational Change and Adaptation; Organizational Structure; Health Industry; Sweden; Europe
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      Gallani, Susanna, Mary Witkowski, Elena Corsi, and Nikolina Jonsson. "Transforming Healthcare Delivery at Karolinska University Hospital." Harvard Business School Case 124-070, December 2023. (Revised February 2024.)
      • 2025
      • Working Paper

      Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach

      By: Ta-Wei Huang and Eva Ascarza
      As firms increasingly rely on customer data for personalization, concerns over privacy and regulatory compliance have grown. Local Differential Privacy (LDP) offers strong individual-level protection by injecting noise into data before collection. While... View Details
      Keywords: Targeted Intervention; Conditional Average Treatment Effect Estimation; Differential Privacy; Honest Estimation; Post-processing; Analytics and Data Science; Consumer Behavior; Marketing
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      Huang, Ta-Wei, and Eva Ascarza. "Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach." Harvard Business School Working Paper, No. 24-034, December 2023. (Revised March 2025.)
      • December 2023 (Revised August 2024)
      • Case

      Monsters in the Machine? Tackling the Challenge of Responsible AI

      By: Paul M. Healy and Debora L. Spar
      In November of 2022, the small tech company OpenAI released ChatGPT, an artificial intelligence chatbot which quickly captured the public’s imagination—becoming the world’s fastest-growing consumer application within months of its release. Though observers from across... View Details
      Keywords: Technological Innovation; AI and Machine Learning; Ethics; Governing Rules, Regulations, and Reforms; Technology Adoption; Corporate Social Responsibility and Impact; Technology Industry; United States; European Union; China
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      Healy, Paul M., and Debora L. Spar. "Monsters in the Machine? Tackling the Challenge of Responsible AI." Harvard Business School Case 324-062, December 2023. (Revised August 2024.)
      • 2023
      • Article

      Balancing Risk and Reward: An Automated Phased Release Strategy

      By: Yufan Li, Jialiang Mao and Iavor Bojinov
      Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated units gradually grows until full deployment or deprecation. Performing phased releases in a... View Details
      Keywords: Product Launch; Mathematical Methods; Product Development
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      Li, Yufan, Jialiang Mao, and Iavor Bojinov. "Balancing Risk and Reward: An Automated Phased Release Strategy." Advances in Neural Information Processing Systems (NeurIPS) (2023).
      • 2023
      • Article

      Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset

      By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li
      Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details
      Keywords: Large Language Model; AI and Machine Learning; Analytics and Data Science; Health Industry
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      Liu, Junling, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, and Michael Lingzhi Li. "Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
      • 2023
      • Book

      Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow

      By: Ken Huang, Yang Wang, Feng Zhu, Xi Chen and Chunxiao Xing
      This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business... View Details
      Keywords: Generative Ai; AI and Machine Learning; Ethics; Technology Adoption
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      Huang, Ken, Yang Wang, Feng Zhu, Xi Chen, and Chunxiao Xing, eds. Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow. Springer, 2023.
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