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- September 2025
- Article
Sticky Capital Controls
By: Miguel Acosta-Henao, Laura Alfaro and Andrés Fernández
There is much ongoing debate on the merits of capital controls as effective policy instruments. The differing perspectives are due in part to a lack of empirical studies that look at the intensive margin of controls, which in turn has prevented a quantitative... View Details
Keywords: Capital Controls; Macroprudential Policies; Stickiness; Intensive; (S, S) Costs; Capital; Management; Macroeconomics; Governance Controls; Mathematical Methods
Acosta-Henao, Miguel, Laura Alfaro, and Andrés Fernández. "Sticky Capital Controls." Art. 104104. Journal of International Economics 157 (September 2025).
- September 2025
- Article
Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India
By: Shawn Cole, Tomoko Harigaya, Grady Killeen and Aparna Krishna
This paper evaluates a low-cost, customized soil nutrient management advisory service in India. As a methodological contribution, we examine whether and in which settings satellite measurements may be effective at estimating both agricultural yields and treatment... View Details
Keywords: Measurement and Metrics; Mathematical Methods; Analytics and Data Science; Agriculture and Agribusiness Industry; India
Cole, Shawn, Tomoko Harigaya, Grady Killeen, and Aparna Krishna. "Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India." Journal of Development Economics 176 (September 2025).
- August 2025
- Case
Must B Nutty?
By: Christina Wallace, Martha Hostetter and Alicia Dadlani
Veronica and Miguel Garza, siblings from a large Mexican-American family from Texas, founded a company in 2014 to sell the almond-flour tortillas Veronica had developed to fit her grain-free diet. Their company, Must Be Nutty, tapped into growing demand for... View Details
- August 5, 2025
- Article
Data-driven Equation Discovery Reveals Nonlinear Reinforcement Learning in Humans
By: Kyle J. LaFollette, Janni Yuval, Roey Schurr, David Melnikoff and Amit Goldenberg
Computational models of reinforcement learning (RL) have significantly contributed to our understanding of human behavior and decision-making. Traditional RL models, however, often adopt a linear approach to updating reward expectations, potentially oversimplifying the... View Details
Keywords: AI and Machine Learning; Behavior; Learning; Motivation and Incentives; Mathematical Methods
LaFollette, Kyle J., Janni Yuval, Roey Schurr, David Melnikoff, and Amit Goldenberg. "Data-driven Equation Discovery Reveals Nonlinear Reinforcement Learning in Humans." Proceedings of the National Academy of Sciences 122, no. 31 (August 5, 2025).
- August 2025
- Case
Meta and the Superintelligence Talent Race
By: Boris Groysberg and Sarah L. Abbott
In June 2025, Meta CEO Mark Zuckerberg upped the ante in the ongoing AI talent wars. Some analysts praised Zuckerberg’s aggressive approach to building Meta's AI capabilities, while others pointed to the high costs this strategy entailed and questioned how effectively... View Details
Keywords: AI; Artificial Intelligence; Machine Learning; Talent Acquisition; Hiring; Technology; Metaverse; Competition; Compensation; Innovation; Talent Development; Competing To Win; Competitive Dynamics; AI and Machine Learning; Talent and Talent Management; Recruitment; Compensation and Benefits; Competency and Skills; Competitive Strategy; Technological Innovation; Technology Industry
- 2025
- Article
Difference-in-Differences Subset Scan
By: Will Stamey, Sriram Somanchi and Edward McFowland III
Difference-in-differences (DiD) has been extensively applied in the literature to elicit the average causal effect of an intervention or policy. Though researchers explore heterogeneity in the treatment effect with respect to time or some observed covariate (usually... View Details
Stamey, Will, Sriram Somanchi, and Edward McFowland III. "Difference-in-Differences Subset Scan." Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining 31st (2025): 2656–2667.
- July–August 2025
- Article
How the Busiest People Find Joy
By: Leslie A. Perlow, Sari Mentser and Salvatore J. Affinito
Joy, along with achievement and meaningfulness, is one of the three keys to a satisfying life. Yet it’s the missing piece for many ambitious individuals, the authors found after examining data on how nearly 2,000 professionals spend their days. Jam-packed schedules are... View Details
Perlow, Leslie A., Sari Mentser, and Salvatore J. Affinito. "How the Busiest People Find Joy." Harvard Business Review 103, no. 4 (July–August 2025): 135–139.
- July 2025
- Case
Greenwood Online: A Fin-Tech Service for Culture and Community (B)
By: James Riley and Bernal Cortés
This B case follows Greenwood’s development after launch, including its decision to partner with a White-owned bank for backend support and its rapid growth despite that controversial choice. It traces the company’s scaling efforts, major fundraising rounds,... View Details
- July 2025
- Background Note
Ecosystem Disruption: A Multi-Stakeholder View of Disruptive Innovations
By: E. Ofek, Michael Haenlein, Eitan Muller and Roman Welden
The purpose of this note is to offer a more expansive view of how innovations disrupt markets than has been portrayed thus far in the extant literature by taking an ecosystem perspective. This broader outlook allows examining not only the product strategies of the... View Details
- July 2025
- Teaching Note
Hyperscaling Dreams: Ualá's Path from Startup to Fintech Champion
By: Juan Alcácer and Manuel Franck
Teaching Note for HBS Case No. 725-408. Ualá, a fintech startup founded in Argentina in 2017 by Pierpaolo Barbieri, aimed to increase financial inclusion in Latin America through a digital platform linked to a prepaid card. After rapid success in Argentina, it expanded... View Details
- Article
Using Gen AI for Early-Stage Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Generative AI, particularly large language models (LLMs), offers a promising new tool for early-stage market research by simulating customer responses to product concepts. This can allow companies to draw conclusions similar to those they’d obtain by surveying... View Details
Keywords: Large Language Models; Large Language Model; Generative Ai; Artificial Intelligence; Market Research; Research; Marketing; AI and Machine Learning; Analytics and Data Science; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
Brand, James, Ayelet Israeli, and Donald Ngwe. "Using Gen AI for Early-Stage Market Research." Harvard Business Review (website) (July 18, 2025).
- July 2025
- Case
Insilico’s Rentosertib Dilemma: A Star in the Pipeline?
By: Michael Lingzhi Li, Brian Mao Fu and Billy Chan
In 2024, the AI biotech firm Insilico Medicine faced a pivotal decision about its new drug, Rentosertib. Discovered and designed using artificial intelligence to treat a lung disease, Rentosertib had successfully advanced to Phase II trials — a first in global... View Details
- July 2025
- Case
Osteoboost: Go-To-Market Strategy in a Healthcare Startup
Osteoboost focuses on how a health care Medtech startup with a new device for treating osteopenia. The firm decides among alternative go-to-market strategies, including B2B (the firm to healthcare providers), DTC (directly to consumers), or some combination of the two... View Details
- July 2025
- Supplement
Meghna Modi at Revlon India: Leading with a Bold Purpose (B)
By: Aiyesha Dey and Sarah Sasso
This follow-up case is about Meghna Modi, the CEO of struggling cosmetics company Revlon India, and the actions she takes as she tries to both turn the company around and integrate her personal purpose into her work. Influenced by her own life struggles, Modi feels... View Details
- July 2025
- Case
ICARE: Frontline Leadership at Michelin
By: Hubert Joly and Emilie Billaud
In 2025, Michelin CEO Florent Menegaux reflected on the company’s transformation since taking the helm in 2019. Amid a volatile global landscape marked by inflation, rising competition, and geopolitical and sustainability pressures, Michelin had achieved strong... View Details
Keywords: Human Capital; Transformation; Management Practices and Processes; Managerial Roles; Organizational Culture; Leadership; Competency and Skills; Global Strategy; Multinational Firms and Management; Human Resources; Compensation and Benefits; Recruitment; Retention; Employee Relationship Management; Working Conditions; Leading Change; Growth and Development Strategy; Groups and Teams; Motivation and Incentives; Well-being; Auto Industry; Manufacturing Industry; Europe; China; United States
- July 3, 2025
- Article
A New Framework for Reducing Healthcare Disparities
By: Susanna Gallani, Mary Lynch Witkowski, Lidia M. V. R. Moura and Katie Sonnefeldt
Despite decades of initiatives to address healthcare inequities in the U.S., disparities across race, gender, geography, and income remain stubbornly persistent. This article introduces the Strategic Fingerprint Framework for Health Equity, a practical, principle-based... View Details
Keywords: Equality and Inequality; Demographics; Outcome or Result; Health Care and Treatment; Framework; Health Industry
Gallani, Susanna, Mary Lynch Witkowski, Lidia M. V. R. Moura, and Katie Sonnefeldt. "A New Framework for Reducing Healthcare Disparities." Harvard Business Review Digital Articles (July 3, 2025).
- 2025
- Chapter
An Appraisal on 'Teaching the Early History of IB at Harvard Business School'
By: Geoffrey Jones
This chapter reviews new research about the origins of International Business as an academic discipline. Contrary to conventional wisdom that it originated in economics departments in the 1960s, this research highlights the importance of teaching at Harvard Business... View Details
Jones, Geoffrey. "An Appraisal on 'Teaching the Early History of IB at Harvard Business School'." Chap. 10 in The Historical Evolution of International Business: Growth Trajectory of an Academic Field of Study, edited by Lilac Nachum and Attila Yaprak, 227–232. Palgrave Macmillan, 2025.
- July–August 2025
- Article
Beefing IT Up for Your Investor? Engagement with Open Source Communities, Innovation, and Startup Funding: Evidence from GitHub
By: Annamaria Conti, Christian Peukert and Maria P. Roche
We study the engagement of nascent firms with open source communities and its implications for innovation and attracting funding. To do so, we link data on 160,065 U.S. startups from Crunchbase to their activities on the open source software development platform... View Details
Keywords: Startups; Knowledge; Open Source Communities; GitHub; Machine Learning; Innovation; Business Startups; Venture Capital; Information Technology; Strategy
Conti, Annamaria, Christian Peukert, and Maria P. Roche. "Beefing IT Up for Your Investor? Engagement with Open Source Communities, Innovation, and Startup Funding: Evidence from GitHub." Organization Science 36, no. 4 (July–August 2025): 1551–1573.
- July 2025
- Article
Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data
By: AJ Chen, Omri Even-Tov, Jung Koo Kang and Regina Wittenberg-Moerman
To mitigate information asymmetry about borrowers in developing economies, digital lenders use machine-learning algorithms and nontraditional data from borrowers’ mobile devices. Consequently, digital lenders have managed to expand access to credit for millions of... View Details
Keywords: Informal Economy; Digital Banking; Mobile Phones; Developing Countries and Economies; Mobile and Wireless Technology; AI and Machine Learning; Analytics and Data Science; Credit; Borrowing and Debt; Well-being; Banking Industry; Kenya
Chen, AJ, Omri Even-Tov, Jung Koo Kang, and Regina Wittenberg-Moerman. "Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data." Accounting Review 100, no. 4 (July 2025): 135–159.
- July 2025
- Article
Economic Integration and the Transmission of Democracy
By: Marco Tabellini and Giacomo Magistretti
In this paper, we study the effects of economic integration with democratic partners on democracy. We assemble a large country-level panel dataset from 1960 to 2015, and exploit improvements in air, relative to sea, transportation to derive a time-varying instrument... View Details
Keywords: Democratization; Institutional Development; Economic Integration; International Trade; Democracy; Political Preferences; Institutions; Trade; Global Range; Economics; Government and Politics
Tabellini, Marco, and Giacomo Magistretti. "Economic Integration and the Transmission of Democracy." Review of Economic Studies 92, no. 4 (July 2025): 2765–2792. (Available also from VOX, VOXEU, Atlantico, The Economist, Domani, and Ideas for India. Longer NBER working paper version available here.)