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      • 2025
      • Working Paper

      The Invention of Corporate Governance

      By: Yueran Ma and Andrei Shleifer
      The analysis of corporate governance begins with a central feature of modern capitalism—the separation of ownership and control in large corporations—first empirically documented by Berle and Means (1932). Such separation entails several agency problems reflecting... View Details
      Keywords: Corporate Governance; Law; Business and Shareholder Relations
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      Ma, Yueran, and Andrei Shleifer. "The Invention of Corporate Governance." NBER Working Paper Series, No. 33710, April 2025.
      • March 27, 2025
      • Article

      How One Company Used AI to Broaden Its Customer Base

      By: Sunil Gupta and Frank V. Cespedes
      The software company SAP successfully leveraged AI tools to begin selling to the small and medium enterprises (SMEs) market, which had previously been uneconomical for its in-person sales approach. By mapping the customer journey and deploying over 40 AI tools, SAP... View Details
      Keywords: AI and Machine Learning; Sales; Business Strategy; Market Entry and Exit
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      Gupta, Sunil, and Frank V. Cespedes. "How One Company Used AI to Broaden Its Customer Base." Harvard Business Review (website) (March 27, 2025).
      • March 2025
      • Case

      Niramai: An AI Solution to Save Lives

      By: Rembrand Koning, Maria P. Roche and Kairavi Dey
      Founded in 2017, Niramai developed Thermalytix, a breast cancer screening tool. Thermalytix used a high-resolution thermal sensing device and machine learning algorithms to analyze thermal images and detect tumors. Its patented solution leveraged big data analytics,... View Details
      Keywords: Entrepreneurship; AI and Machine Learning; Technology Adoption; Health Care and Treatment; Technology Industry; Health Industry; Asia; India; South Asia
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      Koning, Rembrand, Maria P. Roche, and Kairavi Dey. "Niramai: An AI Solution to Save Lives." Harvard Business School Case 725-439, March 2025.
      • 2025
      • Working Paper

      Private Equity and Workers: Modeling and Measuring Monopsony, Reallocation, and Trust

      By: Kyle Herkenhoff, Josh Lerner, Gordon M. Phillips, Francisca Rebelo and Benjamin Sampson
      We measure the real effects of private equity buyouts on worker outcomes by building a new database that links transactions to matched employer-employee data in the United States. To guide our empirical analysis, we derive testable implications from three theories in... View Details
      Keywords: Monopsony; Market Power; Productivity; Private Equity; Employment; Wages; Employees
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      Herkenhoff, Kyle, Josh Lerner, Gordon M. Phillips, Francisca Rebelo, and Benjamin Sampson. "Private Equity and Workers: Modeling and Measuring Monopsony, Reallocation, and Trust." Harvard Business School Working Paper, No. 25-046, March 2025.
      • 2025
      • Working Paper

      The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise

      By: Fabrizio Dell'Acqua, Charles Ayoubi, Hila Lifshitz, Raffaella Sadun, Ethan Mollick, Lilach Mollick, Yi Han, Jeff Goldman, Hari Nair, Stew Taub and Karim R. Lakhani
      We examine how artificial intelligence transforms the core pillars of collaboration— performance, expertise sharing, and social engagement—through a pre-registered field experiment with 776 professionals at Procter & Gamble, a global consumer packaged goods company.... View Details
      Keywords: Artificial Intelligence; Teamwork; Human-machine Interaction; Productivity; Skills; Innovation; Field Experiment; AI and Machine Learning; Groups and Teams; Competency and Skills; Performance Productivity; Collaborative Innovation and Invention; Product Development
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      Dell'Acqua, Fabrizio, Charles Ayoubi, Hila Lifshitz, Raffaella Sadun, Ethan Mollick, Lilach Mollick, Yi Han, Jeff Goldman, Hari Nair, Stew Taub, and Karim R. Lakhani. "The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise." Harvard Business School Working Paper, No. 25-043, March 2025.
      • March 2025 (Revised April 2025)
      • Case

      Perplexity: Redefining Search

      By: Suraj Srinivasan, Michelle Hu, Sriraghav Srinivasan and Radhika Kak
      By early 2025, Perplexity had rapidly evolved from a modest startup into a popular "answer engine" valued at $9 billion. The company had boldly positioned itself as the disruptor to Google aiming to redefine search for the AI age. Through novel AI... View Details
      Keywords: AI and Machine Learning; Venture Capital; Innovation Leadership; Technological Innovation; Internet and the Web; Business Startups; Competitive Strategy; Technology Industry; United States
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      Srinivasan, Suraj, Michelle Hu, Sriraghav Srinivasan, and Radhika Kak. "Perplexity: Redefining Search." Harvard Business School Case 125-093, March 2025. (Revised April 2025.)
      • March 2025 (Revised May 2025)
      • Case

      Xfund and Sam Altman: Finding Harvard's Best Generative AI Founders

      By: Suraj Srinivasan
      On May 1, 2024, Xfund Managing Partners Patrick Chung and Brandon Farwell, hosted a high-stakes venture pitch session designed to select one startup for a minimum $100,000 investment. This “Xperiment Stake” competition, dedicated to startups in the Generative AI... View Details
      Keywords: AI and Machine Learning; Venture Capital; Innovation Leadership; Technological Innovation; Business Startups; Competition; Technology Industry; United States
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      Srinivasan, Suraj. "Xfund and Sam Altman: Finding Harvard's Best Generative AI Founders." Harvard Business School Case 125-090, March 2025. (Revised May 2025.)
      • March 2025
      • Case

      Metaphysic AI: Rethinking the Value of Human Expertise

      By: Zoë B. Cullen, Shikhar Ghosh and Shweta Bagai
      In early 2025, Thomas Graham, CEO of Metaphysic, a leading AI generative video company confronted fundamental questions about who should control digital identity in a world where AI could perfectly recreate human likeness. Founded in 2021, Metaphysic first rose to fame... View Details
      Keywords: Business Model; Ethics; AI and Machine Learning; Intellectual Property; Rights; Negotiation; Value; Motion Pictures and Video Industry; Technology Industry
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      Cullen, Zoë B., Shikhar Ghosh, and Shweta Bagai. "Metaphysic AI: Rethinking the Value of Human Expertise." Harvard Business School Case 825-146, March 2025.
      • March 10, 2025
      • Article

      How Gen AI Could Change the Value of Expertise

      By: Joseph Fuller, Matt Sigelman and Michael Fenlon
      In the near future, gen AI is likely to affect some 50 million jobs, automating away elements of some jobs and augmenting workers’ abilities in others. The extent of those changes will compel companies to reshape their organizational structures and rethink their talent... View Details
      Keywords: AI and Machine Learning; Job Cuts and Outsourcing; Organizational Structure; Talent and Talent Management; Personal Development and Career
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      Fuller, Joseph, Matt Sigelman, and Michael Fenlon. "How Gen AI Could Change the Value of Expertise." Harvard Business Review (website) (March 10, 2025).
      • March 2025
      • Case

      Harvey: AI for Lawyers

      By: Suraj Srinivasan, Charles Krumholz and Radhika Kak
      In early 2025, Winston Weinberg and Gabe Pereyra, co-founders of Harvey AI, reflected on the company’s meteoric rise as a pioneer in AI-powered legal technology. Since its founding in 2022, Harvey had transformed how lawyers approached research, drafting, and document... View Details
      Keywords: Innovation Strategy; Business Startups; AI and Machine Learning; Technological Innovation; Growth and Development Strategy; Product Positioning; Legal Services Industry; Technology Industry; New York (city, NY); San Francisco; London
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      Srinivasan, Suraj, Charles Krumholz, and Radhika Kak. "Harvey: AI for Lawyers." Harvard Business School Case 125-087, March 2025.
      • March 2025
      • Supplement

      Intuition Robotics: An AI Companion for Older Adults (B)

      By: Amit Goldenberg, Elie Ofek and Orna Dan
      Two years after Intuition Robotics opted to pursue a business-to-government contract with the New York State Office of the Aging, and put direct-to-consumer efforts on the back burner, it was at a crossroads. The partnership had been successful, and the company had... View Details
      Keywords: Business Model; AI and Machine Learning; Resource Allocation; Business and Government Relations; Partners and Partnerships; Business Strategy; Health Industry; Technology Industry; New York (state, US); United States
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      Goldenberg, Amit, Elie Ofek, and Orna Dan. "Intuition Robotics: An AI Companion for Older Adults (B)." Harvard Business School Supplement 925-019, March 2025.
      • March 2025
      • Article

      Novice Risk Work: How Juniors Coaching Seniors on Emerging Technologies Such as Generative AI Can Lead to Learning Failures

      By: Katherine C. Kellogg, Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon and Karim R. Lakhani
      The literature on communities of practice demonstrates that a proven way for senior professionals to upskill themselves in the use of new technologies that undermine existing expertise is to learn from junior professionals. It notes that juniors may be better able... View Details
      Keywords: Rank and Position; Competency and Skills; Technology Adoption; Experience and Expertise; AI and Machine Learning
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      Kellogg, Katherine C., Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon, and Karim R. Lakhani. "Novice Risk Work: How Juniors Coaching Seniors on Emerging Technologies Such as Generative AI Can Lead to Learning Failures." Art. 100559. Information and Organization 35, no. 1 (March 2025).
      • 2025
      • Working Paper

      Blockchain-Induced Supply Chain Transparency and Firm Performance: The Role of Capacity Utilization

      By: ShinWoo Lee Lee, Jedson Pinto, Daniel Rabetti and Gil Sadka
      This study empirically investigates how blockchain adoption affects firm profitability. Employing a quasi-experimental design triggered by regulatory changes across the United States, we provide novel empirical evidence to recent theory, proposing that blockchain... View Details
      Keywords: Blockchain; Supply Chain; Technology Adoption; Profit; Governing Rules, Regulations, and Reforms; United States
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      Lee, ShinWoo Lee, Jedson Pinto, Daniel Rabetti, and Gil Sadka. "Blockchain-Induced Supply Chain Transparency and Firm Performance: The Role of Capacity Utilization." Working Paper, February 2025.
      • 2025
      • Working Paper

      Is Love Blind? AI-Powered Trading with Emotional Dividends

      By: De-Rong Kong and Daniel Rabetti
      We leverage the non-fungible tokens (NFTs) setting to assess the valuation of emotional dividends (LOVE), a long-standing empirical challenge in private-value markets such as art, antiques, and collectibles. Having created and validated our proxy, we use deep learning... View Details
      Keywords: NFTs; Non-fungible Tokens; AI and Machine Learning; Valuation; Financial Markets
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      Kong, De-Rong, and Daniel Rabetti. "Is Love Blind? AI-Powered Trading with Emotional Dividends." Working Paper, February 2025.
      • 2025
      • Working Paper

      Blockchain Adoption and Audit Quality

      By: Mei Luo, Daniel Rabetti and Shuangchen Yu
      This study examines the impact of blockchain adoption in the corporate setting. Specifically, we provide comprehensive empirical support to recent theory (Cao, Cong, and Young, 2024) proposing that blockchain adoption positively affects endogenous audit quality and... View Details
      Keywords: Blockchain; Accounting Audits; Technology Adoption; Financial Reporting; Governing Rules, Regulations, and Reforms; China
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      Luo, Mei, Daniel Rabetti, and Shuangchen Yu. "Blockchain Adoption and Audit Quality." Working Paper, February 2025.
      • 2025
      • Working Paper

      A Cognitive Theory of Reasoning and Choice

      By: Pedro Bordalo, Nicola Gennaioli, Giacomo Lanzani and Andrei Shleifer
      We present a theory of decisions in which attention to the features of choice options is determined by the decision maker's categorization of the current choice problem in a set of problems she solved in the past. Categorization depends on goal-relevant as well as... View Details
      Keywords: Cognition and Thinking; Perception; Decision Choices and Conditions
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      Bordalo, Pedro, Nicola Gennaioli, Giacomo Lanzani, and Andrei Shleifer. "A Cognitive Theory of Reasoning and Choice." NBER Working Paper Series, No. 33466, February 2025.
      • February 2025
      • Article

      Deep Responsibility, SDGs, and Asia: A Historical Perspective

      By: Geoffrey Jones
      Although it was only in 2015 the 17 SDGs were adopted by UN Member States, many of the underlying ideas can be found in the strategies of some businesses going back to the nineteenth century. Asia was the home of many of the most advanced concepts of business... View Details
      Keywords: ESG; Multinational Corporation; Sustainability; Corporate Social Responsibility and Impact; Multinational Firms and Management; Corporate Governance; Leadership; Asia
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      Jones, Geoffrey. "Deep Responsibility, SDGs, and Asia: A Historical Perspective." Asian Business & Management 24, no. 1 (February 2025): 25–32.
      • 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; Banking Industry; Financial Services 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.
      • January 2025 (Revised April 2025)
      • Case

      Duolingo: On a 'Streak'

      By: Jeffrey F. Rayport, Nicole Tempest Keller and Nicole Luo
      In December 2024, Severin Hacker, Co-Founder and Chief Technology Officer of Duolingo, reflected on the remarkable evolution of the language-learning app he helped launch in 2011. As the #1 most downloaded education app in the world, Duolingo had over 100 million... View Details
      Keywords: Learning; AI and Machine Learning; Growth and Development Strategy; Motivation and Incentives; Diversification; Business Model; Market Entry and Exit; Technology Industry; Education Industry; United States
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      Rayport, Jeffrey F., Nicole Tempest Keller, and Nicole Luo. "Duolingo: On a 'Streak'." Harvard Business School Case 825-097, January 2025. (Revised April 2025.)
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