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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
      Keywords: Operations; Technology Adoption; Digital Transformation
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      Moreno, Antonio. "How Digital Integration Is Reconfiguring Value Chains." Harvard Business Review 103, no. 5 (September–October 2025).
      • September 2025
      • Article

      Public Disclosure of Private Meetings: Does Observing Peers’ Information Acquisition Affect Analysts’ Attention Allocation?

      By: Yi Ru, Ronghuo Zheng and Yuan Zou
      We investigate the impact of observing peers’ information acquisition on financial analysts’ allocation of attention. Using the timely disclosure mandate by the Shenzhen Stock Exchange as a setting, we find that, shortly after analysts observe that a firm has been... View Details
      Keywords: Corporate Disclosure; Information; Financial Institutions; Accounting; Financial Markets; Financial Services Industry; China
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      Ru, Yi, Ronghuo Zheng, and Yuan Zou. "Public Disclosure of Private Meetings: Does Observing Peers’ Information Acquisition Affect Analysts’ Attention Allocation?" Journal of Accounting Research 63, no. 4 (September 2025): 1629–1677.
      • 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
      Keywords: COVID-19; Remote Work; Health Pandemics; Jobs and Positions; Demographics; Surveys
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      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
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      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
      Keywords: Health Care and Treatment; Human Resources; Compensation and Benefits; Organizational Culture; Technology Adoption; Retention; Working Conditions; Health Industry; United States
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      Gallani, Susanna, Karen L. Sedatole, Sarah Mehta, and Nicole Zelazko. "Emory Healthcare on the Front Lines of the Nursing Workforce Crisis (B)." Harvard Business School Case 126-012, August 2025.
      • 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
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      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
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      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
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      Groysberg, Boris, and Sarah L. Abbott. "Meta and the Superintelligence Talent Race." Harvard Business School Case 426-003, August 2025.
      • 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
      Keywords: Environmental Accounting; Digital Platforms
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      Kaplan, Robert S., and Karthik Ramanna. "E-ledgers Carbon Accounting." Harvard Business School Working Paper, No. 26-004, August 2025.
      • 2025
      • Book

      Concise Business Guide to Climate Change: What Managers, Executives, and Students Need to Know

      By: J. Gunnar Trumbull
      Understanding the ground rules of climate change for business.

      Climate has changed the game for businesses around the world. With climate-related disasters costing billions in damages and public pressure rising, over a hundred nations joined... View Details
      Keywords: Climate Change; Environmental Sustainability; Corporate Social Responsibility and Impact; Business or Company Management; Governing Rules, Regulations, and Reforms
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      Trumbull, J. Gunnar. Concise Business Guide to Climate Change: What Managers, Executives, and Students Need to Know. Boston, MA: Harvard Business Review Press, 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
      Keywords: Research; Analytics and Data Science
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      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.
      • August 1, 2025
      • Article

      When to Innovate and When to Imitate

      By: Felipe A. Csaszar, Rebecca Karp and Maria Roche
      Innovation is often the gold standard for firms looking to grow profits and become leaders in their industries. But given the steep cost of failure, is a relentless pursuit of innovation always advisable? Or might there be some instances when imitation may be a better... View Details
      Keywords: Imitation; Innovation Strategy; Competition; Innovation Leadership
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      Csaszar, Felipe A., Rebecca Karp, and Maria Roche. "When to Innovate and When to Imitate." Harvard Business Review Digital Articles (August 1, 2025).
      • 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; Information Technology Industry; Information Technology Industry
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      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; Information Technology Industry; Information Technology Industry; United States
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      Serafeim, George. "Microsoft’s Performance Across Three CEOs." Harvard Business School Case 125-112, July 2025. (Revised July 2025.)
      • 2025
      • Working Paper

      In Privacy We Trust: The Effect of Privacy Regulations on Data Sharing Behavior

      By: Ozge Demirci, Ayelet Israeli and Eva Ascarza
      This paper studies the impact of privacy policies on consumer data-sharing behavior, focusing on policy changes in California and Virginia that took effect in 2023. Using data from a leading customer engagement app in the United States, where users upload shopping... View Details
      Keywords: Privacy; Privacy Regulation; Data Sharing; Digital Platforms; Policy; Surveys; Behavior; Public Opinion; California; Virginia
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      Demirci, Ozge, Ayelet Israeli, and Eva Ascarza. "In Privacy We Trust: The Effect of Privacy Regulations on Data Sharing Behavior." Harvard Business School Working Paper, No. 26-001, July 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
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      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
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      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

      By: Julian De Freitas
      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
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      De Freitas, Julian. "Don’t Let an AI Failure Harm Your Brand." Harvard Business Review 103, no. 4 (July–August 2025): 126–133.
      • 2025
      • Working Paper

      How Does Wage Inequality Affect the Labor Movement

      By: Barbara Biasi, Zoë B. Cullen, Julia H. Gilman and Nina Roussille
      This paper provides causal evidence on how wage inequality among workers affects the labor movement using three complementary research designs: a vignette experiment with union organizers, a natural policy experiment that increased wage inequality among Wisconsin... View Details
      Keywords: Wages; Equality and Inequality; Labor and Management Relations; Labor Unions; Negotiation
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      Biasi, Barbara, Zoë B. Cullen, Julia H. Gilman, and Nina Roussille. "How Does Wage Inequality Affect the Labor Movement." NBER Working Paper Series, No. 33978, July 2025.
      • July 2025
      • Article

      How Important Is Editorial Gatekeeping? Evidence from Top Biomedical Journals

      By: Joshua L. Krieger, Kyle R. Myers and Ariel D. Stern
      We examine editors' influence on the scientific content of academic journals by unpacking the role of three major forces: journals' missions, aggregate supply of and demand for specific topics, and scientific homophily via editorial gatekeeping. In a sample of top... View Details
      Keywords: Editors; Biomedical Research; Editorial Gatekeeping; Scientific Homophily; Intellectual Capital; Mission and Purpose; Journals and Magazines; Intellectual Property; Innovation and Invention; Human Capital; Higher Education; Publishing Industry
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      Krieger, Joshua L., Kyle R. Myers, and Ariel D. Stern. "How Important Is Editorial Gatekeeping? Evidence from Top Biomedical Journals." Review of Economics and Statistics 107, no. 4 (July 2025): 1159–1168.
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