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      • 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.
      • February 2024
      • Article

      Representation and Extrapolation: Evidence from Clinical Trials

      By: Marcella Alsan, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein and Heidi L. Williams
      This article examines the consequences and causes of low enrollment of Black patients in clinical trials. We develop a simple model of similarity-based extrapolation that predicts that evidence is more relevant for decision-making by physicians and patients when it... View Details
      Keywords: Representation; Racial Disparity; Health Testing and Trials; Race; Equality and Inequality; Innovation and Invention; Pharmaceutical Industry
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      Alsan, Marcella, Maya Durvasula, Harsh Gupta, Joshua Schwartzstein, and Heidi L. Williams. "Representation and Extrapolation: Evidence from Clinical Trials." Quarterly Journal of Economics 139, no. 1 (February 2024): 575–635.
      • January 2024 (Revised May 2024)
      • Case

      Generation Investment Management: Sustainable Investing in a Warming World

      By: Vikram S. Gandhi, Michael Norris and David Allen
      In September 2021, the sustainable investment firm Generation Investment Management (Generation) considered whether to add Schneider Electric to the focus list of companies in which it was prepared to invest. Dedicated to promoting a sustainable world through its... View Details
      Keywords: Sustainable Investing; Climate Change; Environmental Sustainability; Governance; Private Equity; Public Equity; Financial Markets; Investment Return; Investment Activism; Investment Funds; Investment Portfolio; Institutional Investing; Corporate Social Responsibility and Impact; Financial Services Industry; United Kingdom; England; London
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      Gandhi, Vikram S., Michael Norris, and David Allen. "Generation Investment Management: Sustainable Investing in a Warming World." Harvard Business School Case 324-043, January 2024. (Revised May 2024.)
      • January 2024
      • Case

      Net Zero Insurance Alliance: An Alliance in Crisis

      By: Peter Tufano and Karina Val
      The Net Zero Insurance Alliance (NZIA), a UN-convened alliance of major global insurers, was formed in 2021, but by 2023 had lost over 60% of its members. While NZIA had enjoyed a rapid and productive start by setting standards for the industry and sharing best... View Details
      Keywords: Climate Change; Insurance; Standards; Alliances; Business and Government Relations; Cooperation; Insurance Industry
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      Tufano, Peter, and Karina Val. "Net Zero Insurance Alliance: An Alliance in Crisis." Harvard Business School Case 324-063, January 2024.
      • January 2024
      • Background Note

      Note on Generative AI for Business Students

      By: Andrew Rashbass, Ramon Casadesus-Masanell and Jordan Mitchell
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      Rashbass, Andrew, Ramon Casadesus-Masanell, and Jordan Mitchell. "Note on Generative AI for Business Students." Harvard Business School Background Note 724-411, January 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
      • Technical Note

      Venture Capital and Private Equity Funds: A Primer

      By: Jo Tango and Christina Wallace
      How do venture capital and private equity funds actually work? This Technical Note covers the "when, who, and how" details:
      • "When": fund length, extensions, and when investors can no longer initiate new investments.
      • "Who": who is in the General... View Details
      Keywords: Fund Flows; Fund Management; Venture Capital; Private Equity; Investment Funds
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      Tango, Jo, and Christina Wallace. "Venture Capital and Private Equity Funds: A Primer." Harvard Business School Technical Note 824-123, 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

      Pioneer Natural Resources: Enhancing the Capital Return Strategy with Variable Dividends

      By: Benjamin C. Esty, Elisabeth Kempf and E. Scott Mayfield
      In February 2021, Scott Sheffield, the CEO of Pioneer Natural Resources (an independent oil and gas company based in Texas), was considering the possibility of enhancing the firm’s capital return strategy by introducing a variable dividend tied to cash flows in... View Details
      Keywords: Corporate Finance; Cash Flow; Financial Management; Financial Strategy; Value Creation; Decision Choices and Conditions; Investment Return; Profit; Policy; Business and Shareholder Relations; Energy Industry; United States; North America; Texas
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      Esty, Benjamin C., Elisabeth Kempf, and E. Scott Mayfield. "Pioneer Natural Resources: Enhancing the Capital Return Strategy with Variable Dividends." Harvard Business School Case 224-001, January 2024. (Revised May 2024.)
      • 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.)
      • January 2024
      • Article

      Population Interference in Panel Experiments

      By: Kevin Wu Han, Guillaume Basse and Iavor Bojinov
      The phenomenon of population interference, where a treatment assigned to one experimental unit affects another experimental unit’s outcome, has received considerable attention in standard randomized experiments. The complications produced by population interference in... View Details
      Keywords: Outcome or Result; Research; Situation or Environment
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      Han, Kevin Wu, Guillaume Basse, and Iavor Bojinov. "Population Interference in Panel Experiments." Journal of Econometrics 238, no. 1 (January 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.
      • 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.)
      • 2023
      • Working Paper

      New Facts and Data about Professors and Their Research

      By: Kyle Myers, Wei Yang Tham, Jerry Thursby, Marie Thursby, Nina Cohodes, Karim R. Lakhani, Rachel Mural and Yilun Xu
      We introduce a new survey of professors at roughly 150 of the most research-intensive institutions of higher education in the US. We document seven new features of how research-active professors are compensated, how they spend their time, and how they perceive their... View Details
      Keywords: Research; Higher Education; Compensation and Benefits; Measurement and Metrics; Equality and Inequality; Performance Productivity
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      Myers, Kyle, Wei Yang Tham, Jerry Thursby, Marie Thursby, Nina Cohodes, Karim R. Lakhani, Rachel Mural, and Yilun Xu. "New Facts and Data about Professors and Their Research." Harvard Business School Working Paper, No. 24-036, December 2023.
      • 2023
      • Working Paper

      Estimating Productivity in the Presence of Spillovers: Firm-Level Evidence from the U.S. Production Network

      By: Ebehi Iyoha
      This paper examines the extent to which productivity gains are transmitted across U.S. firms through buyer-supplier relationships. Many empirical studies measure firm-to-firm spillovers using firm-level productivity estimates derived from control function approaches.... View Details
      Keywords: Supply and Industry; Partners and Partnerships; Production
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      Iyoha, Ebehi. "Estimating Productivity in the Presence of Spillovers: Firm-Level Evidence from the U.S. Production Network." Harvard Business School Working Paper, No. 24-033, December 2023. (Winner of the Young Economists' Essay Award at the 2021 Annual Conference of the European Association for Research in Industrial Economics (EARIE))
      • 2023
      • Working Paper

      Rapport in Organizations: Evidence from Fast Food

      By: Achyuta Adhvaryu, Parker Howell, Anant Nyshadham and Jorge Tamayo
      Common identity often provides a foundation for workplace rapport. Though gender is perhaps the most frequently studied dimension of identity among workers, little is known about how gender match between managers and their workers might affect team performance. Using... View Details
      Keywords: Management; Relationships; Gender; Labor and Management Relations; Organizational Change and Adaptation; Employees; Food and Beverage Industry; Colombia
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      Adhvaryu, Achyuta, Parker Howell, Anant Nyshadham, and Jorge Tamayo. "Rapport in Organizations: Evidence from Fast Food." Harvard Business School Working Paper, No. 24-032, November 2023.
      • 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.)
      • December 4, 2023
      • Comment

      The Great Resignation, Employment, and Wages in Health Care

      By: Amitabh Chandra and Louis-Jonas Heizlsperger
      Notwithstanding concerns about staffing levels and burnout in health care, federal wage and employment data does not support the suggestion that a COVID-19 pandemic-related spike in quitting has had an enduring impact for hospitals or physician offices. Employment in... View Details
      Keywords: Resignation and Termination; Employment; Wages; Health Industry
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      Chandra, Amitabh, and Louis-Jonas Heizlsperger. "The Great Resignation, Employment, and Wages in Health Care." NEJM Catalyst (December 4, 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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