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      • June 2025
      • Article

      Collusion in Brokered Markets

      By: John William Hatfield, Scott Duke Kominers and Richard Lowery
      High commissions in the U.S. residential real estate agency market present a puzzle for economic theory because brokerage is not a concentrated industry. We model brokered markets as a game in which agents post prices for customers and then choose which other agents to... View Details
      Keywords: Real Estate Agents; Real Estate; Realtors; Broker Networks; Brokerage; Brokerage Commissions; "Brokerage Industry; Brokered Markets; Brokering; Brokers; Industrial Organization; Repeated Game Framework; "Repeated Games"; Collusion; Antitrust; Microeconomics; Market Design; Theory; Game Theory; Real Estate Industry
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      Hatfield, John William, Scott Duke Kominers, and Richard Lowery. "Collusion in Brokered Markets." Journal of Finance 80, no. 3 (June 2025): 1417–1462.
      • 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.
      • June 2025
      • Article

      Riding the Passion Wave or Fighting to Stay Afloat? A Theory of Differentiated Passion Contagion

      By: Emma Frank, Kai Krautter, Wen Wu and Jon M. Jachimowicz
      Prior research suggests that employees benefit from highly passionate teammates because passion spreads easily from one employee to the next. We develop theory to propose that life in high-passion teams may not be as uniformly advantageous as previously assumed. We... View Details
      Keywords: Passion; Emotional Contagion; Emotions; Groups and Teams; Employees; Power and Influence; Performance Improvement
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      Frank, Emma, Kai Krautter, Wen Wu, and Jon M. Jachimowicz. "Riding the Passion Wave or Fighting to Stay Afloat? A Theory of Differentiated Passion Contagion." Administrative Science Quarterly 70, no. 2 (June 2025): 444–495.
      • 2025
      • Working Paper

      Trade Within Multinational Boundaries

      By: Laura Alfaro, Paola Conconi, Fariha Kamal and Zachary Kroff
      We leverage newly linked data from the U.S. Census Bureau and the U.S. Bureau of Economic Analysis to study transactions within U.S. multinational enterprises (MNEs). We show that using administrative data on intrafirm trade allows us to correct for measurement error... View Details
      Keywords: Multinational Enterprise; Input-output Linkages
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      Alfaro, Laura, Paola Conconi, Fariha Kamal, and Zachary Kroff. "Trade Within Multinational Boundaries." Harvard Business School Working Paper, No. 25-058, May 2025.
      • May 2025
      • Teaching Note

      The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation

      By: Tsedal Neeley
      Teaching Note for HBS Case No. 425-720. Florian Hillen, co-founder and CEO of VideaHealth, a startup using artificial intelligence (AI) to detect dental conditions on x-rays, spent the early years of his company laying the groundwork for an AI factory. This AI factory,... View Details
      Keywords: Diagnostics; Organization Design; Change Management; Disruption; Transformation; Health Care and Treatment; AI and Machine Learning; Technological Innovation; Technology Adoption; Management Style; Organizational Culture; Success; Technology Industry; Health Industry; United States
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      Neeley, Tsedal. "The VideaHealth AI Factory: CEO Florian Hillen on Speed, Scale, and Innovation." Harvard Business School Teaching Note 425-102, May 2025.
      • Working Paper

      Shifting Work Patterns with Generative AI

      By: Eleanor W. Dillon, Sonia Jaffe, Nicole Immorlica and Christopher T. Stanton
      We present evidence on how generative AI changes the work patterns of knowledge workers using data from a 6-month-long, cross-industry, randomized field experiment. Half of the 7,137 workers in the study received access to a generative AI tool integrated into the... View Details
      Keywords: AI and Machine Learning; Behavior; Time Management
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      Dillon, Eleanor W., Sonia Jaffe, Nicole Immorlica, and Christopher T. Stanton. "Shifting Work Patterns with Generative AI." NBER Working Paper Series, No. 33795, May 2025.
      • 2024
      • Case

      EPCorp: Convincing the C-Suite

      By: Jacob M. Cook
      In EPCorp: Convincing the C-Suite, Shivani Bahl is attempting to sell EPCorp's CEO, Debbie Sullivan, on her ideas for not only a new website upgrade but also a more expansive vision on how data and Generative AI can be used to grow the company. Debbie is understandably... View Details
      Keywords: AI and Machine Learning; E-commerce; Growth and Development Strategy
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      Cook, Jacob M. "EPCorp: Convincing the C-Suite." Harvard Business Publishing Case, 2024. (Quick Case.)
      • May 2025
      • Article

      Imagining the Future: Memory, Simulation and Beliefs

      By: Pedro Bordalo, Giovanni Burro, Katherine B. Coffman, Nicola Gennaioli and Andrei Shleifer
      How do people form beliefs about novel risks, with which they have little or no experience? Motivated by survey data on beliefs about Covid we collected in 2020, we build a model based on the psychology of selective memory. When a person thinks about an event,... View Details
      Keywords: Expectations; Memory; COVID-19 Pandemic; Risk and Uncertainty; Cognition and Thinking
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      Bordalo, Pedro, Giovanni Burro, Katherine B. Coffman, Nicola Gennaioli, and Andrei Shleifer. "Imagining the Future: Memory, Simulation and Beliefs." Review of Economic Studies 92, no. 3 (May 2025): 1532–1563.
      • May 2025
      • Article

      Transaction Cost Economics in the Digital Economy: A Research Agenda

      By: Frank Nagle, Robert Seamans and Steve Tadelis
      Transaction cost economics theory explains when it is more efficient for a transaction between two parties to occur across the market or within an organization. How does transaction cost economics apply in the digital economy, which relies on digital transactions? In... View Details
      Keywords: Transaction Cost Economics; Digital Economy; Economics; Cost; Markets; Research; Digital Transformation
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      Nagle, Frank, Robert Seamans, and Steve Tadelis. "Transaction Cost Economics in the Digital Economy: A Research Agenda." Strategic Organization 23, no. 2 (May 2025): 351–365.
      • May 2025
      • Case

      Windsurf and the AI Code Assistant Market

      By: Suraj Srinivasan, Sudhanshu Nath Mishra and Radhika Kak
      In April 2025, the founding team of Windsurf, an AI start-up specializing in code generation gathered in Mountain View, California, to assess its remarkable year of growth. The company had scaled from a niche GitHub Copilot alternative to a breakout player with over... View Details
      Keywords: AI and Machine Learning; Venture Capital; Innovation Leadership; Technological Innovation; Technology Industry; United States
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      Srinivasan, Suraj, Sudhanshu Nath Mishra, and Radhika Kak. "Windsurf and the AI Code Assistant Market." Harvard Business School Case 125-111, May 2025.
      • April 2025
      • Background Note

      Climate Change Adaptation with Artificial Intelligence and Machine Learning

      By: Michael W. Toffel and Nabig Chaudhry
      Artificial Intelligence (AI) and machine learning (ML) have emerged as powerful tools to address climate change. This note summarizes a wide range of the uses of AI/ML to drive climate change adaptation and resilience, the measures organizations and governments are... View Details
      Keywords: Climate Change; Adaptation
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      Toffel, Michael W., and Nabig Chaudhry. "Climate Change Adaptation with Artificial Intelligence and Machine Learning." Harvard Business School Background Note 625-050, April 2025.
      • April 2025 (Revised May 2025)
      • Case

      Adobe: GenAI Opportunity or Threat?

      By: Sunil Gupta, Rajiv Lal and Allison Ciechanover
      In December 2022, Adobe CEO Shantanu Narayen faced a pivotal strategic decision due to the rapid rise of generative AI image models from OpenAI, Midjourney, and StabilityAI. Adobe, a leader in digital media and marketing software with a 40-year legacy of innovation and... View Details
      Keywords: Customer Relationship Management; Ethics; AI and Machine Learning; Trust; Business Strategy; Technology Industry; San Jose
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      Gupta, Sunil, Rajiv Lal, and Allison Ciechanover. "Adobe: GenAI Opportunity or Threat?" Harvard Business School Case 525-052, April 2025. (Revised May 2025.)
      • 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 the company’s culture,... View Details
      Keywords: Turnaround; Artificial Intelligence; Semiconductors; Change Management; Transformation; Decision Making; Globalized Markets and Industries; Government and Politics; AI and Machine Learning; Innovation and Management; Innovation Strategy; Innovation Leadership; 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

      Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs

      By: Mengjie Cheng, Elie Ofek and Hema Yoganarasimhan
      We study how media firms can use LLMs to generate news content that aligns with multiple objectives—making content more engaging while maintaining a preferred level of polarization/slant consistent with the firm’s editorial policy. Using news articles from The New York... View Details
      Keywords: Large Language Models; Content Creation; Media; Polarization; Generative Ai; Direct Preference Optimization; AI and Machine Learning; News; Perspective; Digital Marketing; Policy; Media and Broadcasting Industry
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      Cheng, Mengjie, Elie Ofek, and Hema Yoganarasimhan. "Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs." Harvard Business School Working Paper, No. 25-051, April 2025.
      • 2025
      • Working Paper

      Prices and Concentration: A U-shape? Theory and Evidence from Renewables

      By: Michele Fioretti, Junnan He and Jorge Tamayo
      We show that when firms compete via supply functions, transferring high-cost capacity to the largest, most efficient firm—thereby diversifying its production technologies while increasing concentration—can lower prices by prompting the leader to expand output and... View Details
      Keywords: Diversified Production Technologies; Concentration Levels; Market Power; Supply Function Equilibrium; Hydropower; Energy Transition; Renewable Energy; Price; Competition; Supply and Industry; Energy Industry; Colombia
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      Fioretti, Michele, Junnan He, and Jorge Tamayo. "Prices and Concentration: A U-shape? Theory and Evidence from Renewables." Harvard Business School Working Paper, No. 25-049, April 2025.
      • April 2025 (Revised April 2025)
      • Case

      JPMorganChase: Leadership in the Age of GenAI

      By: Iavor I. Bojinov, Karim R. Lakhani and David Lane
      This case study examines JPMorgan Chase's (JPMC) journey in adopting and implementing Generative AI (GenAI) following the release of ChatGPT. It outlines JPMC's initial cautious approach focused on data security, followed by strategic investments in internal platforms... View Details
      Keywords: Banks and Banking; Governance Controls; Information Technology; AI and Machine Learning; Analytics and Data Science; Cybersecurity; Digital Platforms; Digital Transformation; Information Management; Information Infrastructure; Technology Adoption; Job Cuts and Outsourcing; Knowledge Management; Knowledge Sharing; Leading Change; Growth and Development Strategy; Marketing; Product Development; Performance Improvement; Customization and Personalization; Financial Services Industry; United States
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      Bojinov, Iavor I., Karim R. Lakhani, and David Lane. "JPMorganChase: Leadership in the Age of GenAI." Harvard Business School Case 325-066, April 2025. (Revised April 2025.)
      • April 2025
      • Case

      Breezm: Innovative 3D-Printed Eyewear (A)

      By: Juan Alcácer, Brian Mao Fu and Adina Wong
      In 2023, Breezm, a South Korean startup, faced a strategic decision about how to grow its innovative 3D-printed, custom-fit eyewear business. Co-founded in 2017 by Zenma Park and Wooseok Sung, Breezm combined facial scanning, AI, and in-house production to solve the... View Details
      Keywords: 3D Printing; Eyeyewear; Growth; Business Startups; AI and Machine Learning; Technological Innovation; Growth and Development Strategy; Risk and Uncertainty; Expansion; South Korea
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      Alcácer, Juan, Brian Mao Fu, and Adina Wong. "Breezm: Innovative 3D-Printed Eyewear (A)." Harvard Business School Case 725-376, April 2025.
      • April 2025
      • Article

      Serving with a Smile on Airbnb: Analyzing the Economic Returns and Behavioral Underpinnings of the Host’s Smile

      By: Shunyuan Zhang, Elizabeth Friedman, Kannan Srinivasan, Ravi Dhar and Xupin Zhang
      Non-informational cues, such as facial expressions, can significantly influence judgments and interpersonal impressions. While past research has explored how smiling affects business outcomes in offline or in-store contexts, relatively less is known about how smiling... View Details
      Keywords: Sharing Economy; Airbnb; Image Feature Extraction; Machine Learning; Facial Expressions; Prejudice and Bias; Nonverbal Communication; E-commerce; Consumer Behavior; Perception
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      Zhang, Shunyuan, Elizabeth Friedman, Kannan Srinivasan, Ravi Dhar, and Xupin Zhang. "Serving with a Smile on Airbnb: Analyzing the Economic Returns and Behavioral Underpinnings of the Host’s Smile." Journal of Consumer Research 51, no. 6 (April 2025): 1073–1097.
      • 2025
      • Book

      The Experimentation Machine: Finding Product–Market Fit in the Age of AI

      By: Jeffrey J. Bussgang
      Leverage AI to be a 10x Founder

      Today’s most successful founders know that the startups that learn the fastest will win. In The Experimentation Machine, I reveal how AI is transforming the way startups find product-market fit and scale.... View Details
      Keywords: AI; Founder; Startup; AI and Machine Learning; Technology Adoption; Business Startups; Entrepreneurship; Market Entry and Exit
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      Bussgang, Jeffrey J. The Experimentation Machine: Finding Product–Market Fit in the Age of AI. Damn Gravity Media, 2025.
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