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- September–October 2025
- Article
How Digital Integration Is Reconfiguring Value Chains
By: Antonio Moreno
While companies have been “unbundling” their operations and outsourcing tasks for decades, advances in IT are now helping them take that strategy to a whole new level. These technologies make it possible to digitally integrate workflows across organizations, letting... View Details
Moreno, Antonio. "How Digital Integration Is Reconfiguring Value Chains." Harvard Business Review 103, no. 5 (September–October 2025).
- Fall 2025
- Article
The Rise of Remote Work: Evidence on Productivity and Preferences from Firm and Worker Surveys
By: Alexander Bartik, Zoë Cullen, Edward L. Glaeser, Michael Luca and Christopher Stanton
Drawing on surveys of small business owners and employees, we present three main findings about the evolution of remote work after the onset of COVID-19. First, uptake of remote work was abrupt and widespread in jobs suitable for telework according to the task-based... View Details
Bartik, Alexander, Zoë Cullen, Edward L. Glaeser, Michael Luca, and Christopher Stanton. "The Rise of Remote Work: Evidence on Productivity and Preferences from Firm and Worker Surveys." Journal of Economics & Management Strategy 34, no. 3 (Fall 2025): 759–772.
- 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
Emory Healthcare on the Front Lines of the Nursing Workforce Crisis (B)
By: Susanna Gallani, Karen L. Sedatole, Sarah Mehta and Nicole Zelazko
This supplement to the Emory Healthcare (A) case details organizational developments from July 2023 through October 2024. It explores leadership transitions, expanded recruitment efforts, compensation strategy shifts, and technology investments aimed at addressing... 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).
- 2025
- Working Paper
Emotional Manipulation by AI Companions
By: Julian De Freitas, Zeliha Oğuz-Uğuralp and Ahmet Kaan-Uğuralp
AI-companion apps such as Replika, Chai, and Character.ai promise relational benefits—yet many boast session lengths that rival gaming platforms while suffering high long-run churn. What conversational design features increase consumer engagement, and what trade-offs... View Details
Keywords: Generative Ai; Chatbots; Emotional Manipulation; User Retention; Dark Side Of Technology; Consumer Welfare; AI and Machine Learning; Ethics; Consumer Behavior; Emotions; Perception
De Freitas, Julian, Zeliha Oğuz-Uğuralp, and Ahmet Kaan-Uğuralp. "Emotional Manipulation by AI Companions." Harvard Business School Working Paper, No. 26-005, August 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
- Working Paper
E-ledgers Carbon Accounting
By: Robert S. Kaplan and Karthik Ramanna
In prior publications, we introduced a global system of interconnected E-ledgers that produces—in as close to real time as practicable—accurate, comparable, and verifiable accounts of the cradle-to-gate (net) greenhouse-gas emissions in any product or service that... View Details
Kaplan, Robert S., and Karthik Ramanna. "E-ledgers Carbon Accounting." Harvard Business School Working Paper, No. 26-004, August 2025.
- 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.
- 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; 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 (Revised July 2025)
- Case
Microsoft’s Performance Across Three CEOs
By: George Serafeim
This case traces Microsoft’s evolution from its founding through 2025. Students analyze how changes in operating segments both reflected and shaped Microsoft’s strategy, culture, and financial communication. The case provides rich quantitative exhibits (segment... View Details
Keywords: Financial Accounting; Financial Statement Analysis; Disclosure; Disclosure Strategy; Disclosure Tone; Organizational Transformations; Transformation; AI; Digital; Organizational Change; Accounting; Financial Statements; Strategy; Organizational Structure; Organizational Change and Adaptation; Technology Industry; Technology Industry; United States
- 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–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–August 2025
- Article
Don’t Let an AI Failure Harm Your Brand
How companies market their AI systems affects the repercussions they face when their products fail. Marketers must promote their AI products with potential failure in mind. To do that, they must first understand consumers’ unique attitudes toward AI. Marketers who... View Details
Keywords: AI and Machine Learning; Brands and Branding; Product Marketing; Consumer Behavior; Attitudes
De Freitas, Julian. "Don’t Let an AI Failure Harm Your Brand." Harvard Business Review 103, no. 4 (July–August 2025): 126–133.
- July 2025
- Case
The Future in Sight: LumineticsCore and the First Autonomous AI for Diagnostics
By: Michael Lingzhi Li and Tinglong Dai
After two decades of research, Dr. Michael Abramoff successfully launched LumineticsCore—the first autonomous AI system authorized by the FDA to diagnose diabetic retinopathy without physician oversight. The case traces his journey across algorithm design, clinical... View Details
- June 2025
- Case
Konko AI: Automating Work with AI Agents
By: Shikhar Ghosh, Shweta Bagai and Liang Wu
In January 2025, Jean Marc Goguikian and Michael Haddad, co-founders of Konko AI, faced a critical strategic decision. After the company’s developer platform for private large language models (LLMs) struggled to gain traction, they had pivoted to building AI sales... View Details
Keywords: AI and Machine Learning; Customer Relationship Management; Growth and Development Strategy; Product Positioning; Product Development; Organizational Change and Adaptation; Business Strategy; Customization and Personalization; Technology Industry; Latin America
Ghosh, Shikhar, Shweta Bagai, and Liang Wu. "Konko AI: Automating Work with AI Agents." Harvard Business School Case 825-145, June 2025.
- June 2025
- Case
Redefining the Edge: Jahez’s Strategic Pivot in Saudi Arabia’s Food Delivery Battle
By: Krishna G. Palepu and Ahmed Dahawy
Jahez made its mark in Saudi Arabia’s food delivery market by serving customers willing to pay more for reliable, high-quality service—a segment largely overlooked by other platforms. As the company grew, it expanded into the mass market and developed a network of... View Details
- June 2025
- Simulation
Teleko: Managing Customer Retention
By: Eva Ascarza
Supplement to the A Case, No. 523-005. This interactive tool is designed to enhance engagement with the Managing Customer Retention at Teleko case by allowing the student to explore and analyze key data from the experiment run in July (“July... View Details
- June 2025
- Simulation
Travelogo: Customer Segmentation
By: Eva Ascarza and Noah Ahmadi
This interactive tool is designed to enhance engagement with the Travelogo: Understanding Customer Journeys case by allowing the student to explore the company's data. Through this tool, the student can examine the variables used for segmentation, analyze the resulting... View Details