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      • January 2024
      • Case

      Vibrant Health

      By: Henry McGee and Sarah Mehta
      This case is about nutritional supplements company Vibrant Health, among the 100 largest Black-owned businesses in the U.S. After acquiring the company from its white founder in 2007, co-owners Ted and Paige Parker significantly grew its sales. Set in September 2023,... View Details
      Keywords: Business Ventures; Race; Entrepreneurship; Nutrition; Ownership; Business Strategy; Growth and Development Strategy; Leadership; Sales; Food and Beverage Industry; Health Industry; Eastern United States
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      McGee, Henry, and Sarah Mehta. "Vibrant Health." Harvard Business School Case 824-058, January 2024.
      • January 2024
      • Case

      Sprouts Farmers Market

      By: Rajiv Lal, Forest L. Reinhardt and Natalie Kindred
      Sprouts Farmers Markets (Sprouts) is a Phoenix, Arizona-based chain of 400-plus natural foods stores in 23 U.S. states and $6.4 billion in sales as of 2022. In its product assortment, brand image, and store environment, Sprouts emphasizes freshness, health, innovation,... View Details
      Keywords: Business Model; Growth and Development Strategy; Brands and Branding; Strategic Planning; Sales; Business Strategy; Expansion; Product Positioning; Marketing Strategy; Competition; Retail Industry; United States; Arizona
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      Lal, Rajiv, Forest L. Reinhardt, and Natalie Kindred. "Sprouts Farmers Market." Harvard Business School Case 524-059, January 2024.
      • January 2024
      • Article

      A Cost Model for a Low Threshold Clinic Treating Opioid Use Disorder

      By: Sarah E. Wakeman, Elizabeth Powell, Syed Shehab, Grace Herman, Laura Kehoe and Robert S. Kaplan
      The US fee-for-service payment system under-reimburses clinics offering access to comprehensive treatments for opioid use disorder (OUD). The funding shortfall limits a clinic’s ability to expand and improve access, especially for socially marginalized patients with... View Details
      Keywords: Health Care and Treatment; Cost; Equality and Inequality; Health Industry
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      Wakeman, Sarah E., Elizabeth Powell, Syed Shehab, Grace Herman, Laura Kehoe, and Robert S. Kaplan. "A Cost Model for a Low Threshold Clinic Treating Opioid Use Disorder." Journal of Behavioral Health Services & Research 51, no. 1 (January 2024): 22–30.
      • 2024
      • Case

      Christiana Figueres and the Paris Climate Negotiations (A)

      By: James K. Sebenius, Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro and Mina Subramanian
      This three-part, stop action case study, structured for classroom discussion, centers on Harvard’s Program on Negotiation 2022 Great Negotiator, Christiana Figueres, and her efforts as Executive Secretary of the United Nations Framework Convention on Climate Change... View Details
      Keywords: Climate Change; Negotiation; Environmental Regulation; International Relations; Leadership
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      Sebenius, James K., Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro, and Mina Subramanian. "Christiana Figueres and the Paris Climate Negotiations (A)." Program on Negotiation at Harvard Law School Case, 2024.
      • 2024
      • Case

      Christiana Figueres and the Paris Climate Negotiations (B)

      By: James K. Sebenius, Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro and Mina Subramanian
      This three-part, stop action case study, structured for classroom discussion, centers on Harvard’s Program on Negotiation 2022 Great Negotiator, Christiana Figueres, and her efforts as Executive Secretary of the United Nations Framework Convention on Climate Change... View Details
      Keywords: Climate Change; Negotiation; Environmental Regulation; International Relations; Leadership
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      Sebenius, James K., Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro, and Mina Subramanian. "Christiana Figueres and the Paris Climate Negotiations (B)." Program on Negotiation at Harvard Law School Case, 2024.
      • 2024
      • Case

      Christiana Figueres and the Paris Climate Negotiations: Figueres the Negotiator (C)

      By: James K. Sebenius, Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro and Mina Subramanian
      This three-part, stop action case study, structured for classroom discussion, centers on Harvard’s Program on Negotiation 2022 Great Negotiator, Christiana Figueres, and her efforts as Executive Secretary of the United Nations Framework Convention on Climate Change... View Details
      Keywords: Climate Change; Negotiation; Environmental Management; International Relations; Leadership
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      Sebenius, James K., Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro, and Mina Subramanian. "Christiana Figueres and the Paris Climate Negotiations: Figueres the Negotiator (C)." Program on Negotiation at Harvard Law School Case, 2024.
      • January 2024
      • Article

      Fencing Off Silicon Valley: Cross-Border Venture Capital and Technology Spillovers

      By: Ufuk Akcigit, Sina T. Ates, Josh Lerner, Richard Townsend and Yulia Zhestkova
      The treatment of foreign investors is a contentious topic in U.S. entrepreneurship policy. We model a setting where foreign corporate investments in Silicon Valley may allow U.S. entrepreneurs to pursue technologies that they could not otherwise, but may also lead to... View Details
      Keywords: Innovation; Corporate Venture Capital; Knowledge Spillovers; Foreign Direct Investment; Innovation and Invention; Venture Capital; Entrepreneurship; Policy
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      Akcigit, Ufuk, Sina T. Ates, Josh Lerner, Richard Townsend, and Yulia Zhestkova. "Fencing Off Silicon Valley: Cross-Border Venture Capital and Technology Spillovers." Journal of Monetary Economics 141 (January 2024): 14–39.
      • 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).
      • 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
      • Case

      Davivienda Bank's Upskilling and Reskilling Strategy in Colombia

      By: Jorge Tamayo, Raffaella Sadun and Jenyfeer Martinez Buitrago
      Set in 2022, this case describes the digital transformation strategy of Davivienda— a leading player in Colombia’s commercial banking and one of the companies belonging to Grupo Bolívar, a major Colombian financial conglomerate—and the bank’s upskilling and reskilling... View Details
      Keywords: Change Management; Transformation; Decision Choices and Conditions; Digital Strategy; Digital Transformation; Internet and the Web; Mobile and Wireless Technology; Innovation and Management; Innovation Strategy; Growth and Development Strategy; Business Strategy; Corporate Strategy; Organizational Culture; Talent and Talent Management; Training; Banking Industry; Latin America; Central America; South America; Colombia
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      Tamayo, Jorge, Raffaella Sadun, and Jenyfeer Martinez Buitrago. "Davivienda Bank's Upskilling and Reskilling Strategy in Colombia." Harvard Business School Case 724-425, December 2023.
      • December 12, 2023
      • Article

      Prices for Common Services at Quaternary vs Nonquaternary Hospitals

      By: Brandon W. Yan, Maximilian J. Pany and Leemore S. Dafny
      Using commercial health insurance claims data from 2017-2019, we assessed whether quaternary hospitals charged higher prices for common, unspecialized services also offered by nonquaternary hospitals. We found quaternary-hospital price premiums of 8.2 percent, on... View Details
      Keywords: Price; Health Care and Treatment; Insurance; Markets; Health Industry
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      Yan, Brandon W., Maximilian J. Pany, and Leemore S. Dafny. "Prices for Common Services at Quaternary vs Nonquaternary Hospitals." JAMA, the Journal of the American Medical Association 330, no. 22 (December 12, 2023): 2211–2213.
      • December 2023 (Revised August 2024)
      • Supplement

      Microsoft Azure and the Cloud Wars (B)

      By: Andy Wu and Matt Higgins
      By 2023, the global market for cloud infrastructure had consolidated into a three-horse race. As of Q4 2022, Amazon, Microsoft, and Google collectively accounted for 66% of the global market. AWS had a market share of 33%, Microsoft Azure had 23%, and Google Cloud had... View Details
      Keywords: Microsoft; Artificial Intelligence; AI; Competition; Information Infrastructure; Market Participation
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      Wu, Andy, and Matt Higgins. "Microsoft Azure and the Cloud Wars (B)." Harvard Business School Supplement 724-434, December 2023. (Revised August 2024.)
      • 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.
      • December 2023
      • Article

      Brokerage Relationships and Analyst Forecasts: Evidence from the Protocol for Broker Recruiting

      By: Braiden Coleman, Michael Drake, Joseph Pacelli and Brady Twedt
      In this study, we offer novel evidence on how the nature of brokerage-client relationships can influence the quality of equity research. We exploit a unique setting provided by the Protocol for Broker Recruiting to examine whether relaxed broker non-compete agreement... View Details
      Keywords: Brokers; Analysts; Forecasts; Bias; Protocol; Investment; Research; Forecasting and Prediction
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      Coleman, Braiden, Michael Drake, Joseph Pacelli, and Brady Twedt. "Brokerage Relationships and Analyst Forecasts: Evidence from the Protocol for Broker Recruiting." Review of Accounting Studies 28, no. 4 (December 2023): 2075–2103.
      • December 2023
      • Article

      Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work

      By: Mijeong Kwon, Julia Lee Cunningham and Jon M. Jachimowicz
      Intrinsic motivation has received widespread attention as a predictor of positive work outcomes, including employees’ prosocial behavior. In the current research, we offer a more nuanced view by proposing that intrinsic motivation does not uniformly increase prosocial... View Details
      Keywords: Motivation and Incentives; Behavior; Moral Sensibility; Employees
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      Kwon, Mijeong, Julia Lee Cunningham, and Jon M. Jachimowicz. "Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work." Academy of Management Journal 66, no. 6 (December 2023): 1625–1650.
      • 2023
      • Article

      M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models

      By: Himabindu Lakkaraju, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai and Haoyi Xiong
      While Explainable Artificial Intelligence (XAI) techniques have been widely studied to explain predictions made by deep neural networks, the way to evaluate the faithfulness of explanation results remains challenging, due to the heterogeneity of explanations for... View Details
      Keywords: AI and Machine Learning
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      Lakkaraju, Himabindu, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, and Haoyi Xiong. "M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models." Advances in Neural Information Processing Systems (NeurIPS) (2023).
      • 2023
      • Article

      MoPe: Model Perturbation-based Privacy Attacks on Language Models

      By: Marvin Li, Jason Wang, Jeffrey Wang and Seth Neel
      Recent work has shown that Large Language Models (LLMs) can unintentionally leak sensitive information present in their training data. In this paper, we present Model Perturbations (MoPe), a new method to identify with high confidence if a given text is in the training... View Details
      Keywords: Large Language Model; AI and Machine Learning; Cybersecurity
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      Li, Marvin, Jason Wang, Jeffrey Wang, and Seth Neel. "MoPe: Model Perturbation-based Privacy Attacks on Language Models." Proceedings of the Conference on Empirical Methods in Natural Language Processing (2023): 13647–13660.
      • 2023
      • Article

      Post Hoc Explanations of Language Models Can Improve Language Models

      By: Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh and Himabindu Lakkaraju
      Large Language Models (LLMs) have demonstrated remarkable capabilities in performing complex tasks. Moreover, recent research has shown that incorporating human-annotated rationales (e.g., Chain-of-Thought prompting) during in-context learning can significantly enhance... View Details
      Keywords: AI and Machine Learning; Performance Effectiveness
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      Krishna, Satyapriya, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, and Himabindu Lakkaraju. "Post Hoc Explanations of Language Models Can Improve Language Models." Advances in Neural Information Processing Systems (NeurIPS) (2023).
      • December 2023
      • Article

      Self-Orienting in Human and Machine Learning

      By: Julian De Freitas, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum and T. Ullman
      A current proposal for a computational notion of self is a representation of one’s body in a specific time and place, which includes the recognition of that representation as the agent. This turns self-representation into a process of self-orientation, a challenging... View Details
      Keywords: AI and Machine Learning; Behavior; Learning
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      De Freitas, Julian, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum, and T. Ullman. "Self-Orienting in Human and Machine Learning." Nature Human Behaviour 7, no. 12 (December 2023): 2126–2139.
      • 2023
      • Other Article

      The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications

      By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber
      Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult... View Details
      Keywords: USPTO; Natural Language Processing; Classification; Summarization; Patent Novelty; Patent Trolls; Patent Enforceability; Patents; Innovation and Invention; Intellectual Property; AI and Machine Learning; Analytics and Data Science
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      Suzgun, Mirac, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, and Stuart Shieber. "The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
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