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      • 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).
      • June 2025
      • Article

      Ideation with Generative AI—In Consumer Research and Beyond

      By: Julian De Freitas, G. Nave and Stefano Puntoni
      The use of large language models (LLMs) in consumer research is rapidly evolving, with applications including synthetic data generation, data analysis, and more. However, their role in creative ideation—a cornerstone of consumer research—remains underexplored. Drawing... View Details
      Keywords: Large Language Model; AI and Machine Learning; Creativity; Innovation Strategy
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      De Freitas, Julian, G. Nave, and Stefano Puntoni. "Ideation with Generative AI—In Consumer Research and Beyond." Journal of Consumer Research 51, no. 1 (June 2025): 18–31.
      • May 2025
      • Background Note

      Social Enterprise in Latin America

      By: Brian L. Trelstad and Karina Souza
      This research note provides an overview of the social enterprise ecosystem in Latin America, exploring current dynamics across key markets, including country-specific insights on Brazil, Mexico, Argentina, Colombia, Chile, and Central America. In a region characterized... View Details
      Keywords: Latin America; Brazil; Mexico; Argentina; Colombia; Chile; Impact Investing; Developing Countries and Economies; Social Entrepreneurship; Emerging Markets; Corporate Social Responsibility and Impact; Mission and Purpose; Ownership; Social Enterprise; Business Strategy; Equality and Inequality; Agriculture and Agribusiness Industry; Agriculture and Agribusiness Industry; Agriculture and Agribusiness Industry; Agriculture and Agribusiness Industry; Latin America; Brazil; Mexico; Argentina; Colombia; Chile; Guatemala; Central America
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      Trelstad, Brian L., and Karina Souza. "Social Enterprise in Latin America." Harvard Business School Background Note 325-117, May 2025.
      • May 2025 (Revised May 2025)
      • Supplement

      Michael Ku and Global Clinical Supply at Pfizer Inc.: Bringing Hope to Patients (D)

      By: Linda A. Hill and Lydia Begag
      This fourth installment in the Pfizer Global Clinical Supply (GCS) transformation case series highlights how over a decade of cultural and digital evolution positioned GCS to meet unprecedented global challenges. In 2011, Michael Ku became the Vice President of GCS and... View Details
      Keywords: Innovation Leadership; Technological Innovation; Leadership Development; Leadership Style; Research and Development; Science-Based Business; Transformation; Pharmaceutical Industry; Biotechnology Industry; Health Industry; United States; Asia; Europe; Latin America
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      Hill, Linda A., and Lydia Begag. "Michael Ku and Global Clinical Supply at Pfizer Inc.: Bringing Hope to Patients (D)." Harvard Business School Supplement 425-079, May 2025. (Revised May 2025.)
      • 2025
      • Working Paper

      Data-driven Technologies and Local Information Advantages in Small Business Lending

      By: Wilbur Chen, Jung Koo Kang and Aditya Mohan
      We investigate whether banks' adoption of data-driven technologies influences competitive dynamics in local small business lending by diminishing the information advantages traditionally held by local banks. Using local newspaper closures as an adverse shock to the... View Details
      Keywords: Data-driven Technologies; Local Information Advantages; Local Banks; Relationship Lending; Small Business Loans; Small Business; Local Range; Financing and Loans; Banks and Banking; Analytics and Data Science; Banking Industry
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      Chen, Wilbur, Jung Koo Kang, and Aditya Mohan. "Data-driven Technologies and Local Information Advantages in Small Business Lending." Harvard Business School Working Paper, No. 25-057, May 2025.
      • May 2025
      • Article

      The Diffusion of New Technologies

      By: Aakash Kalyani, Marcela Carvalho, Nicholas Bloom, Tarek Hassan, Josh Lerner and Ahmed Tahoun
      We identify phrases associated with novel technologies using textual analysis of patents, job postings, and earnings calls, enabling us to identify four stylized facts on the diffusion of jobs relating to new technologies. First, the development of economically... View Details
      Keywords: Technology; Geography; Innovation; R&D; Technological Innovation; Research and Development; Employment; Geographic Location
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      Kalyani, Aakash, Marcela Carvalho, Nicholas Bloom, Tarek Hassan, Josh Lerner, and Ahmed Tahoun. "The Diffusion of New Technologies." Quarterly Journal of Economics 140, no. 2 (May 2025): 1299–1365. (Earlier version distributed as National Bureau of Economic Research Working Paper No. 28999 and Harvard Business School Working Paper No. 21-114. Related discussion published as “How Disruptive Technologies Diffuse,” VoxEU, 2021.)
      • April 2025
      • Case

      Lisa Su and AMD (A)

      By: Joshua D. Margolis, Matthew Preble and Dave Habeeb
      This multimedia case study focuses on CEO Lisa Su’s turnaround and subsequent transformation of the technology company Advanced Micro Devices, Inc. (AMD). When Su accepted the top position in 2014, AMD was on the verge of collapse. Su focused on the company’s culture,... View Details
      Keywords: Turnaround; Change Management; Transformation; Decision Making; Globalized Markets and Industries; Government and Politics; AI and Machine Learning; Innovation and Management; Innovation Strategy; Innovation Leadership; Leadership Style; Leading Change; Management; Product Design; Product Development; Organizational Change and Adaptation; Organizational Culture; Organizational Design; Strategic Planning; Business and Shareholder Relations; Business and Stakeholder Relations; Research and Development; Business Strategy; Competitive Strategy; Competitive Advantage; Corporate Strategy; Semiconductor Industry; Computer Industry; United States; California; Texas
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      Margolis, Joshua D., Matthew Preble, and Dave Habeeb. "Lisa Su and AMD (A)." Harvard Business School Multimedia/Video Case 425-704, April 2025.
      • 2025
      • Working Paper

      Generative AI Use by Capital Market Information Intermediaries: Evidence from Seeking Alpha

      By: Mark Bradshaw, Chenyang Ma, Benjamin Yost and Yuan Zou
      We study the use of generative AI for firm-specific financial analysis on the Seeking Alpha platform. We find that, after the initial launch of ChatGPT in November 2022, the share of AI-generated articles rose sharply to 13.4% of all articles, then declined in late... View Details
      Keywords: Generative Ai; Seeking Alpha; Equity Research; Large Language Models; Gpt; AI and Machine Learning; Information Publishing; Financial Markets
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      Bradshaw, Mark, Chenyang Ma, Benjamin Yost, and Yuan Zou. "Generative AI Use by Capital Market Information Intermediaries: Evidence from Seeking Alpha." Harvard Business School Working Paper, No. 25-055, April 2025.
      • 2025
      • Working Paper

      Incentive-Compatible Recovery from Manipulated Signals, with Applications to Decentralized Physical Infrastructure

      By: Jason Milionis, Jens Ernstberger, Joseph Bonneau, Scott Duke Kominers and Tim Roughgarden
      We introduce the first formal model capturing the elicitation of unverifiable information from a party (the "source") with implicit signals derived by other players (the "observers"). Our model is motivated in part by applications in decentralized physical... View Details
      Keywords: Mathematical Methods; Infrastructure; Information Infrastructure
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      Milionis, Jason, Jens Ernstberger, Joseph Bonneau, Scott Duke Kominers, and Tim Roughgarden. "Incentive-Compatible Recovery from Manipulated Signals, with Applications to Decentralized Physical Infrastructure." Working Paper, March 2025.
      • February 2025
      • Case

      Fly, Fix, Fly at True Anomaly

      By: Joshua Lev Krieger, Jim Matheson, Fiona Murray and David Allen
      How should companies learn from failure? Founded by four U.S. Space Force warfighters, the tough tech startup True Anomaly wanted to compete with major defense contractors to supply the U.S. Department of Defense with satellites and software that could help protect... View Details
      Keywords: Business Startups; Engineering; National Security; Digital Platforms; Failure; Problems and Challenges; Business and Government Relations; Entrepreneurship; Aerospace Industry; United States; Colorado
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      Krieger, Joshua Lev, Jim Matheson, Fiona Murray, and David Allen. "Fly, Fix, Fly at True Anomaly." Harvard Business School Case 825-040, February 2025.
      • February 2025
      • Case

      Blue Owl Financing of Ping Identity

      By: Victoria Ivashina and Srimayi Mylavarapu
      In the fall of 2022, Blue Owl Capital's investment committee evaluated a potential investment in the technology sector. The proposed transaction centered on Ping Identity Corporation (“Ping”), a fast-growing identity access management (IAM) software company that was... View Details
      Keywords: Mergers and Acquisitions; Borrowing and Debt; Cash Flow; Investment; Privatization; Technology Industry; Technology Industry
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      Ivashina, Victoria, and Srimayi Mylavarapu. "Blue Owl Financing of Ping Identity." Harvard Business School Case 225-078, February 2025.
      • February 2025
      • Article

      Disclosure, Humanizing, and Contextual Vulnerability of Generative AI Chatbots

      By: Julian De Freitas and I. Glenn Cohen
      In the wake of recent advancements in generative AI, regulatory bodies are trying to keep pace. One key decision is whether to require app makers to disclose the use of generative AI-powered chatbots in their products. We suggest that some generative AI-based chatbots... View Details
      Keywords: AI and Machine Learning; Governing Rules, Regulations, and Reforms; Applications and Software; Well-being
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      De Freitas, Julian, and I. Glenn Cohen. "Disclosure, Humanizing, and Contextual Vulnerability of Generative AI Chatbots." New England Journal of Medicine AI 2, no. 2 (February 2025).
      • January 2025
      • Case

      Hebbia: Redefining Productivity for Knowledge Workers Using AI

      By: Suraj Srinivasan and Minoshka Narayan
      In early 2025, George Sivulka, founder and CEO of Hebbia, reflected on the company’s rapid ascent as a pioneer in GenAI-powered productivity tools for knowledge workers. With its proprietary technology, Hebbia had redefined information retrieval and analysis and earned... View Details
      Keywords: Transformation; Customer Relationship Management; AI and Machine Learning; Innovation and Management; Innovation Strategy; Service Delivery; Technological Innovation; Growth and Development Strategy; Competitive Strategy; Technology Industry; Technology Industry; Technology Industry; United States; New York (city, NY)
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      Srinivasan, Suraj, and Minoshka Narayan. "Hebbia: Redefining Productivity for Knowledge Workers Using AI." Harvard Business School Case 125-075, January 2025.
      • 2025
      • Working Paper

      Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India

      By: Shawn Cole, Grady Killeen, Tomoko Harigaya 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: Performance Evaluation; Technology Adoption; Measurement and Metrics; Analytics and Data Science; Agriculture and Agribusiness Industry; India
      Citation
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      Cole, Shawn, Grady Killeen, Tomoko Harigaya, and Aparna Krishna. "Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India." Harvard Business School Working Paper, No. 25-035, January 2025.
      • January 2025
      • Case

      The Vision of Wonder

      By: Michael S. Kaufman and Daniella Bertolotti
      Serial entrepreneur Marc Lore successfully disrupted three marketplaces—trading cards, diapers (founded Diapers.com and eventually sold to Amazon for more than $500 million) and ecommerce (founded Jet.com competing directly with Amazon and eventually sold to Walmart... View Details
      Keywords: Mergers and Acquisitions; Business Exit or Shutdown; Entrepreneurship; Disruptive Innovation; Growth and Development Strategy; Food and Beverage Industry; Food and Beverage Industry
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      Kaufman, Michael S., and Daniella Bertolotti. "The Vision of Wonder." Harvard Business School Case 325-078, January 2025.
      • Working Paper

      AI in Disguise—How AI-generated Ads' Visual Cues Shape Consumer Perception and Performance

      By: Yannick Exner, Jochen Hartmann, Oded Netzer and Shunyuan Zhang
      Generative AI’s recent advancements in creating content have offered vast potential to transform the advertising industry. This research investigates the impact of generative AI-enabled visual ad creation on real-world advertising effectiveness. For this purpose, we... View Details
      Keywords: Digital Marketing; AI and Machine Learning; Advertising; Consumer Behavior; Advertising Industry
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      Exner, Yannick, Jochen Hartmann, Oded Netzer, and Shunyuan Zhang. "AI in Disguise—How AI-generated Ads' Visual Cues Shape Consumer Perception and Performance." SSRN Working Paper Series, No. 5096969.
      • 2025
      • Article

      Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments

      By: Kosuke Imai and Michael Lingzhi Li
      Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
      Keywords: AI and Machine Learning; Mathematical Methods; Analytics and Data Science
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      Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Journal of Business & Economic Statistics 43, no. 1 (2025): 256–268.
      • January–February 2025
      • Article

      The Double-Edged Sword of Exemplar Similarity

      By: Majid Majzoubi, Eric Zhao, Tiona Zuzul and Greg Fisher
      We investigate how a firm’s positioning relative to category exemplars shapes security analysts’ evaluations. Using a two-stage model of evaluation (initial screening and subsequent assessment), we propose that exemplar similarity enhances a firm’s recognizability and... View Details
      Keywords: Natural Language Processing; Analytics and Data Science; Performance Evaluation
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      Majzoubi, Majid, Eric Zhao, Tiona Zuzul, and Greg Fisher. "The Double-Edged Sword of Exemplar Similarity." Organization Science 36, no. 1 (January–February 2025): 121–144.
      • 2025
      • Working Paper

      Too Much, Too Soon? Early Funding, Technological Unconventionality, and Innovation Capabilities

      By: Harsh Ketkar and Maria Roche
      The availability of financial resources significantly shapes firm innovation outcomes, especially for early-stage, innovation-focused technology firms. However, prior research has provided conflicting findings about this relationship: On the one hand, resource... View Details
      Keywords: Startups; Technology Strategy; Novelty; Unconventionality; Resource Constraints; Early Stage Firms; Business Startups; Technological Innovation; Entrepreneurial Finance
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      Ketkar, Harsh, and Maria Roche. "Too Much, Too Soon? Early Funding, Technological Unconventionality, and Innovation Capabilities." Harvard Business School Working Paper, No. 25-032, December 2024. (Revised February 2025.)
      • December 2024
      • Case

      Blue Cross Blue Shield of Michigan (BCBSM): The AI Journey

      By: Shikhar Ghosh
      In early 2024, Bill Fandrich, Executive VP and CIO of Blue Cross Blue Shield of Michigan (BCBSM), faced a critical decision about AI adoption within the organization. Fandrich had championed AI implementation at BCBSM. After successfully developing three AI... View Details
      Keywords: Blue Cross; Automation; Generative Ai; Health Insurance; Insurance Companies; Innovation; IT Strategy; Organizational Transformations; Technology; Non-profit; AI and Machine Learning; Health; Digital Strategy; Digital Transformation; Leadership; Technology Adoption; Job Cuts and Outsourcing; Innovation Strategy; Health Industry; Insurance Industry; Michigan
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      Ghosh, Shikhar. "Blue Cross Blue Shield of Michigan (BCBSM): The AI Journey." Harvard Business School Case 825-082, December 2024.
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