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      • 2024
      • Working Paper

      The Uneven Impact of Generative AI on Entrepreneurial Performance

      By: Nicholas G. Otis, Rowan Clarke, Solène Delecourt, David Holtz and Rembrand Koning
      Scalable and low-cost AI assistance has the potential to improve firm decision-making and economic performance. However, running a business involves a myriad of open-ended problems, making it difficult to know whether recent AI advances can help business owners make... View Details
      Keywords: AI and Machine Learning; Performance Improvement; Small Business; Decision Choices and Conditions; Kenya
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      Otis, Nicholas G., Rowan Clarke, Solène Delecourt, David Holtz, and Rembrand Koning. "The Uneven Impact of Generative AI on Entrepreneurial Performance." Harvard Business School Working Paper, No. 24-042, December 2023.
      • December 2023
      • Article

      When Should the Off-Grid Sun Shine at Night? Optimum Renewable Generation and Energy Storage Investments

      By: Christian Kaps, Simone Marinesi and Serguei Netessine
      Globally, 1.5 billion people live off the grid, their only access to electricity often limited to operationally-expensive fossil fuel generators. Solar power has risen as a sustainable and less costly option, but its generation is variable during the day and... View Details
      Keywords: Energy; Renewable Energy
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      Kaps, Christian, Simone Marinesi, and Serguei Netessine. "When Should the Off-Grid Sun Shine at Night? Optimum Renewable Generation and Energy Storage Investments." Management Science 69, no. 12 (December 2023): 7633–7650.
      • November 2023 (Revised June 2024)
      • Case

      Zest AI: Machine Learning and Credit Access

      By: David S. Scharfstein and Ryan Gilland
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      Scharfstein, David S., and Ryan Gilland. "Zest AI: Machine Learning and Credit Access." Harvard Business School Case 224-033, November 2023. (Revised June 2024.)
      • October 2023
      • Case

      Making Progress at Progress Software (A)

      By: Katherine Coffman, Hannah Riley Bowles and Alexis Lefort
      In this case, the Human Capital team at Progress Software has identified that some employees have a hard time understanding how to advance within Progress. This realization leads the team to develop several major people-process innovations: the introduction of... View Details
      Keywords: Leading Change; Organizational Culture; Performance Evaluation; Prejudice and Bias; Personal Development and Career; Human Capital; Employee Relationship Management; Technology Industry; Bulgaria
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      Coffman, Katherine, Hannah Riley Bowles, and Alexis Lefort. "Making Progress at Progress Software (A)." Harvard Business School Case 924-010, October 2023.
      • 2022
      • Working Paper

      Why Do Index Funds Have Market Power? Quantifying Frictions in the Index Fund Market

      By: Zach Y. Brown, Mark Egan, Jihye Jeon, Chuqing Jin and Alex A. Wu
      Index funds are one of the most common ways investors access financial markets and are perceived to be a transparent and low-cost alternative to active investment management. Despite these purported virtues of index fund investing and the introduction of new products... View Details
      Keywords: Mutual Funds; Passive Investing; Asset Management; Financial Markets; Investment Funds; Financial Management; Financial Services Industry; United States
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      Brown, Zach Y., Mark Egan, Jihye Jeon, Chuqing Jin, and Alex A. Wu. "Why Do Index Funds Have Market Power? Quantifying Frictions in the Index Fund Market." Harvard Business School Working Paper, No. 24-019, October 2023. (NBER Working Paper Series, No. 31778, October 2023.)
      • October 2023
      • Supplement

      Making Progress at Progress Software (B)

      By: Katherine Coffman, Hannah Riley Bowles and Alexis Lefort
      In this case, the Human Capital team at Progress Software has identified that some employees have a hard time understanding how to advance within Progress. This realization leads the team to develop several major people-process innovations: the introduction of... View Details
      Keywords: Leading Change; Negotiation; Organizational Culture; Performance Evaluation; Prejudice and Bias; Talent and Talent Management; Employees; Technology Industry; United States; Bulgaria
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      Coffman, Katherine, Hannah Riley Bowles, and Alexis Lefort. "Making Progress at Progress Software (B)." Harvard Business School Supplement 924-011, October 2023.
      • 2023
      • Working Paper

      Black-box Training Data Identification in GANs via Detector Networks

      By: Lukman Olagoke, Salil Vadhan and Seth Neel
      Since their inception Generative Adversarial Networks (GANs) have been popular generative models across images, audio, video, and tabular data. In this paper we study whether given access to a trained GAN, as well as fresh samples from the underlying distribution, if... View Details
      Keywords: Cybersecurity; Copyright; AI and Machine Learning; Analytics and Data Science
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      Olagoke, Lukman, Salil Vadhan, and Seth Neel. "Black-box Training Data Identification in GANs via Detector Networks." Working Paper, October 2023.
      • 2025
      • Working Paper

      Bringing Science to Market: Knowledge Foundations, Inventor-Founders, and Performance

      By: Justine Boudou and Maria Roche
      In this paper, we examine how a startup’s knowledge foundations—embedded in its core technology—influence its performance in the exit market. Using a dataset of 1,006 biomedicine startups founded between 2005 and 2015, we focus on two key factors: (1) the degree of... View Details
      Keywords: Firm Performance; Knowledge Foundations; Exits; Academic Startups; Inventor-founder; Specialized Scientific Knowledge; Competitive Advantage; Value Creation; Research; Information Publishing; Business Startups; Entrepreneurship
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      Boudou, Justine, and Maria Roche. "Bringing Science to Market: Knowledge Foundations, Inventor-Founders, and Performance." Harvard Business School Working Paper, No. 24-021, October 2023. (Revised February 2025.)
      • 2023
      • Working Paper

      Causal Interpretation of Structural IV Estimands

      By: Isaiah Andrews, Nano Barahona, Matthew Gentzkow, Ashesh Rambachan and Jesse M. Shapiro
      We study the causal interpretation of instrumental variables (IV) estimands of nonlinear, multivariate structural models with respect to rich forms of model misspecification. We focus on guaranteeing that the researcher's estimator is sharp zero consistent, meaning... View Details
      Keywords: Mathematical Methods
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      Andrews, Isaiah, Nano Barahona, Matthew Gentzkow, Ashesh Rambachan, and Jesse M. Shapiro. "Causal Interpretation of Structural IV Estimands." NBER Working Paper Series, No. 31799, October 2023.
      • 2023
      • Working Paper

      In-Context Unlearning: Language Models as Few Shot Unlearners

      By: Martin Pawelczyk, Seth Neel and Himabindu Lakkaraju
      Machine unlearning, the study of efficiently removing the impact of specific training points on the trained model, has garnered increased attention of late, driven by the need to comply with privacy regulations like the Right to be Forgotten. Although unlearning is... View Details
      Keywords: AI and Machine Learning; Copyright; Information
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      Pawelczyk, Martin, Seth Neel, and Himabindu Lakkaraju. "In-Context Unlearning: Language Models as Few Shot Unlearners." Working Paper, October 2023.
      • 2023
      • Working Paper

      The Customer Journey as a Source of Information

      By: Nicolas Padilla, Eva Ascarza and Oded Netzer
      In the face of heightened data privacy concerns and diminishing third-party data access, firms are placing increased emphasis on first-party data (1PD) for marketing decisions. However, in environments with infrequent purchases, reliance on past purchases 1PD... View Details
      Keywords: Customer Journey; Privacy; Consumer Behavior; Analytics and Data Science; AI and Machine Learning; Customer Focus and Relationships
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      Padilla, Nicolas, Eva Ascarza, and Oded Netzer. "The Customer Journey as a Source of Information." Harvard Business School Working Paper, No. 24-035, October 2023. (Revised October 2023.)
      • September 2023
      • Teaching Note

      Esquel Group

      By: William C. Kirby and Noah B. Truwit
      Teaching Note for HBS Case Nos. 307-076 and 322-058. These cases focus on the experience of China's largest shirt manufacturer, Esquel Group, and how it manages various aspects of government relations in China and abroad. The A case identifies a wide variety of social... View Details
      Keywords: International Relations; Trade; Globalized Markets and Industries; Fashion Industry; China
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      Kirby, William C., and Noah B. Truwit. "Esquel Group." Harvard Business School Teaching Note 324-042, September 2023.
      • September 2023 (Revised September 2023)
      • Teaching Note

      Roche: Innovation and Access to Healthcare

      By: George Serafeim
      Teaching Note for HBS Case No. 123-075. In May 2022, Roche Group, one of the largest healthcare companies in the world, hosted its first investor event focused exclusively on its efforts to impact access to healthcare. While Roche had recently set an ambitious goal to... View Details
      Keywords: ESG; Access To Care; Healthcare; Healthcare Access; Innovation; Social Impact; Affordable; Health Care and Treatment; Innovation and Invention; Product Development; Resource Allocation; Corporate Social Responsibility and Impact; Health Industry
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      Serafeim, George. "Roche: Innovation and Access to Healthcare." Harvard Business School Teaching Note 124-028, September 2023. (Revised September 2023.)
      • 2023
      • Working Paper

      Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality

      By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
      The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details
      Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement
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      Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
      • September 2023 (Revised June 2024)
      • Case

      CyberArk: Fearlessly Forward in a Digital World

      By: David B. Yoffie and Daniela Beyersdorfer
      CyberArk was a leader in privileged access management and was an emerging leader in security identity. This case explores strategies in cybersecurity and whether big bets are needed to become a global leader. View Details
      Keywords: Cybersecurity; Strategy; Technological Innovation; Technology Industry
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      Yoffie, David B., and Daniela Beyersdorfer. "CyberArk: Fearlessly Forward in a Digital World." Harvard Business School Case 724-382, September 2023. (Revised June 2024.)
      • August 2023
      • Article

      Status and Mortality: Is There a Whitehall Effect in the United States?

      By: Tom Nicholas
      The influential Whitehall studies found that top-ranking civil servants in Britain experienced lower mortality than civil servants below them in the organizational hierarchy due to differential exposure to workplace stress. I test for a Whitehall effect in the United... View Details
      Keywords: Mortality; Status; Working Conditions; Rank and Position; Welfare; Well-being; Health
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      Nicholas, Tom. "Status and Mortality: Is There a Whitehall Effect in the United States?" Economic History Review 76, no. 3 (August 2023): 1191–1230.
      • 2025
      • Working Paper

      When Where Watt: Harnessing the Value of Time and Location for Renewable Electricity Generation

      By: Vishrut Rana, Christian Kaps and Serguei Netessine
      Problem definition: Investments in renewable energy have surged worldwide in recent years, with over $2 trillion spent globally on clean energy. This surge was driven by growing policy support, concerns about energy security, and, most importantly, the cost... View Details
      Keywords: Wind Power; Electricity Distribution; Renewable Energy; Profit; Investment Return; Factories, Labs, and Plants; Geographic Location; Revenue; Energy Industry; Utilities Industry
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      Rana, Vishrut, Christian Kaps, and Serguei Netessine. "When Where Watt: Harnessing the Value of Time and Location for Renewable Electricity Generation." Working Paper, January 2025.
      • July 2023 (Revised May 2024)
      • Case

      India Stack: Digital Public Infrastructure for All

      By: Tarun Khanna, Anjali Raina and Rachna Chawla
      Amitabh Kant, India Sherpa in the year of India's G20 Presidency, and Nandan Nilekani iconic tech entrepreneur wondered how to share India's model of digital public infrastructure to build social and economic inclusion. 'India Stack', the umbrella term for India's DPI... View Details
      Keywords: Digital Transformation; Information Technology; Technology Adoption; Developing Countries and Economies; Economic Growth; Information Technology Industry; Technology Industry; Telecommunications Industry; Asia; South Asia; India
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      Khanna, Tarun, Anjali Raina, and Rachna Chawla. "India Stack: Digital Public Infrastructure for All." Harvard Business School Case 724-371, July 2023. (Revised May 2024.)
      • July 2023 (Revised February 2024)
      • Case

      Clair

      By: Lauren Cohen, Grace Headinger and Marcos Quirno
      Clair was founded with a simple mission: to expedite America’s workers access to their hard-earned wages. In the headwinds of the COVID-19 pandemic, the startup had successfully raised a seed round of $4.5 million, and within two years the earned wage access (EWA)... View Details
      Keywords: Fintech; Ewa; Lending; Technology; Business Startups; Growth and Development Strategy; Social Enterprise; Business Strategy; Business Model; Mission and Purpose; Venture Capital; Profit; Financial Services Industry; United States
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      Cohen, Lauren, Grace Headinger, and Marcos Quirno. "Clair." Harvard Business School Case 224-015, July 2023. (Revised February 2024.)
      • 2023
      • Article

      Evidence from the First Shared Medical Appointments (SMAs) Randomised Controlled Trial in India: SMAs Increase the Satisfaction, Knowledge, and Medication Compliance of Patients with Glaucoma

      By: Nazlı Sönmez, Kavitha Srinivasan, Rengaraj Venkatesh, Ryan W. Buell and Kamalini Ramdas
      In Shared Medical Appointments (SMAs), patients with similar conditions meet the physician together and each receives one-on-one attention. SMAs can improve outcomes and physician productivity. Yet privacy concerns have stymied adoption. In physician-deprived nations,... View Details
      Keywords: Health Care and Treatment; Customer Satisfaction; Outcome or Result; India
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      Sönmez, Nazlı, Kavitha Srinivasan, Rengaraj Venkatesh, Ryan W. Buell, and Kamalini Ramdas. "Evidence from the First Shared Medical Appointments (SMAs) Randomised Controlled Trial in India: SMAs Increase the Satisfaction, Knowledge, and Medication Compliance of Patients with Glaucoma." e0001648. PLoS Global Public Health 3, no. 7 (2023).
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