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      • 2025
      • Article

      Humor as a Window into Generative AI Bias

      By: Roger Samure, Julian De Freitas and Stefano Puntoni
      A preregistered audit of 600 images by generative AI across 150 different prompts explores the link between humor and discrimination in consumer-facing AI solutions. When ChatGPT updates images to make them “funnier”, the prevalence of stereotyped groups changes. While... View Details
      Keywords: AI and Machine Learning; Demographics; Prejudice and Bias
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      Samure, Roger, Julian De Freitas, and Stefano Puntoni. "Humor as a Window into Generative AI Bias." Art. 1326. Scientific Reports 15 (2025).
      • January 2025
      • Article

      Enterprise Resource Planning (ERP) System Implementations and Corporate Misconduct

      By: Jonas Heese and Joseph Pacelli
      This study examines whether enterprise resource planning (ERP) implementations are associated with reductions in corporate misconduct. Specifically, we study the relation between staggered facility-level rollouts of ERP systems and facility-level regulatory violations... View Details
      Keywords: Accounting; Governing Rules, Regulations, and Reforms; Governance Compliance
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      Heese, Jonas, and Joseph Pacelli. "Enterprise Resource Planning (ERP) System Implementations and Corporate Misconduct." Accounting Review 100, no. 1 (January 2025): 291–315.
      • January–February 2025
      • Article

      Location-Specificity and Relocation Incentive Programs for Remote Workers

      By: Thomaz Teodorovicz, Prithwiraj Choudhury and Evan Starr
      The precipitous growth of remote work has given rise to a new phenomenon: the emergence of relocation incentive programs that localities use to compete for the physical presence of remote workers. Remote workers with high general human capital may create value for... View Details
      Keywords: Remote Work; Motivation and Incentives; Geographic Location; Talent and Talent Management; Human Capital; Tulsa
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      Teodorovicz, Thomaz, Prithwiraj Choudhury, and Evan Starr. "Location-Specificity and Relocation Incentive Programs for Remote Workers." Organization Science 36, no. 1 (January–February 2025): 186–212.
      • 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

      Want Your Company to Get Better at Experimentation?: Learn Fast by Democratizing Testing

      By: Iavor Bojinov, David Holtz, Ramesh Johari, Sven Schmit and Martin Tingley
      For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and maintain a competitive edge. The widespread availability and lower... View Details
      Keywords: Technological Innovation; AI and Machine Learning; Analytics and Data Science; Product Development; Competitive Advantage
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      Bojinov, Iavor, David Holtz, Ramesh Johari, Sven Schmit, and Martin Tingley. "Want Your Company to Get Better at Experimentation? Learn Fast by Democratizing Testing." Harvard Business Review 103, no. 1 (January–February 2025): 96–103.
      • 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

      Core Innovation Capital: Investing in Fintech for Good

      By: Ray Kluender, Natalia Rigol, Benjamin Roth and Nicole Tempest Keller
      In 2017, Arjan Schütte, founder of Core Innovation Capital, faced a decision on whether to invest in Hugo Insurance, an auto insurance startup. Core, an early-stage social impact VC firm, focused on “fintech for good,” by investing in financial services for low- to... View Details
      Keywords: Fintech; Venture Capital; Social Entrepreneurship; Insurance; Measurement and Metrics; Investment; Corporate Social Responsibility and Impact; Product Positioning; Technology Industry; Technology Industry; Technology Industry; United States
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      Kluender, Ray, Natalia Rigol, Benjamin Roth, and Nicole Tempest Keller. "Core Innovation Capital: Investing in Fintech for Good." Harvard Business School Case 825-064, December 2024.
      • December 2024
      • Supplement

      Core Innovation Capital: Investing in Fintech for Good (B)

      By: Ray Kluender, Natalia Rigol, Benjamin Roth and Nicole Tempest Keller
      In 2017, Core Innovation Capital invested $725,000 in Hugo Insurance, a pay-as-you-drive auto insurance startup targeting the non-standard market. Core followed with $300,000 in 2019 during a Seed II round. By 2022, Hugo founder, David Bergendahl, sought $10 million in... View Details
      Keywords: Fintech; Venture Capital; Social Entrepreneurship; Insurance; Measurement and Metrics; Investment; Technology Industry; Technology Industry; Technology Industry; United States
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      Kluender, Ray, Natalia Rigol, Benjamin Roth, and Nicole Tempest Keller. "Core Innovation Capital: Investing in Fintech for Good (B)." Harvard Business School Supplement 825-094, December 2024.
      • December 2024 (Revised March 2025)
      • Case

      Tata Power and India's Energy Transition

      By: Vikram S. Gandhi, Radhika Kak and Kairavi Dey
      Tata Power stood at the forefront of India’s energy transition. The firm had a long history deeply intertwined with the country's development. As Mumbai’s power needs increased, Tata Power built out thermal assets across North, West, and East India. While thermal power... View Details
      Keywords: Renewable Energy; Energy Sources; Climate Change; Green Technology; Transition; Energy Generation; Resource Allocation; Energy Industry; Asia; India
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      Gandhi, Vikram S., Radhika Kak, and Kairavi Dey. "Tata Power and India's Energy Transition." Harvard Business School Case 325-081, December 2024. (Revised March 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.
      • 2024
      • Working Paper

      Displacement or Complementarity? The Labor Market Impact of Generative AI

      By: Wilbur Xinyuan Chen, Suraj Srinivasan and Saleh Zakerinia
      Generative AI is poised to reshape the labor market, affecting cognitive and white-collar occupations in ways distinct from past technological revolutions. This study examines whether generative AI displaces workers or augments their jobs by analyzing labor demand and... View Details
      Keywords: Generative Ai; Labor Market; Automation And Augmentation; Labor; AI and Machine Learning; Competency and Skills
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      Chen, Wilbur Xinyuan, Suraj Srinivasan, and Saleh Zakerinia. "Displacement or Complementarity? The Labor Market Impact of Generative AI." Harvard Business School Working Paper, No. 25-039, December 2024.
      • 2024
      • Working Paper

      Why Most Resist AI Companions

      By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp and Stefano Puntoni
      Chatbots are now able to form emotional relationships with people and alleviate loneliness—a growing public health concern. Behavioral research provides little insight into whether everyday people are likely to use these applications and why. We address this question... View Details
      Keywords: Generative Ai; Chatbots; Artificial Intelligence; Algorithmic Aversion; Lonelines; Technology Adoption; AI and Machine Learning; Well-being; Emotions
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      De Freitas, Julian, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp, and Stefano Puntoni. "Why Most Resist AI Companions." Harvard Business School Working Paper, No. 25-030, December 2024. (Revised January 2025.)
      • November 2024
      • Supplement

      AlphaGo (B): Birth of a New Intelligence

      By: Shikhar Ghosh and Shweta Bagai
      This case, the second in a three-part series, explores DeepMind's evolution from developing game-specific AI to more generalized learning systems. Following AlphaGo's 2017 victory over the Go world champion, DeepMind introduced two revolutionary systems that eliminated... View Details
      Keywords: AI and Machine Learning; Games, Gaming, and Gambling; Technological Innovation; Disruptive Innovation; Innovation Leadership; Information Technology Industry; United States; Russia; China
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      Ghosh, Shikhar, and Shweta Bagai. "AlphaGo (B): Birth of a New Intelligence." Harvard Business School Supplement 825-074, November 2024.
      • November 2024
      • Supplement

      AlphaGo (C): Birth of a New Intelligence

      By: Shikhar Ghosh and Shweta Bagai
      This case, the final of a three-part series, explores DeepMind's pivotal transition from mastering games to solving real-world scientific challenges. In December 2020, DeepMind's AI system AlphaFold 2 achieved a breakthrough by solving protein folding—a 50-year-old... View Details
      Keywords: Autonomy; Deep Learning; Drug Discovery; Healthcare Innovation; Neural Networks; Scientific Research; Technology Startup; AI and Machine Learning; Technological Innovation; Research and Development; Business Model; Business Strategy; Open Source Distribution; Technology Industry; United States
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      Ghosh, Shikhar, and Shweta Bagai. "AlphaGo (C): Birth of a New Intelligence." Harvard Business School Supplement 825-075, November 2024.
      • 2024
      • Working Paper

      Scaling Core Earnings Measurement with Large Language Models

      By: Matthew Shaffer and Charles CY Wang
      We study the application of large language models (LLMs) to the estimation of core earnings, i.e., a firm's persistent profitability from its core business activities. This construct is central to investors' assessments of economic performance and valuations. However,... View Details
      Keywords: Large Language Models; AI and Machine Learning; Accounting; Profit; Corporate Disclosure; Analytics and Data Science; Measurement and Metrics
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      Shaffer, Matthew, and Charles CY Wang. "Scaling Core Earnings Measurement with Large Language Models." Working Paper, November 2024.
      • November 2024 (Revised April 2025)
      • Case

      Cheerful Music

      By: Shunyuan Zhang, Feng Zhu and Nancy Hua Dai
      Established by Snow Jiang in 2019 in Shenzhen, China, Cheerful Music was a record label company that had created many hit songs in China. “Yi Xiao Jiang Hu,” its most famous hit song, gained billions of views on social media platforms in China and overseas as the... View Details
      Keywords: Generative Ai; Music Entertainment; Global Strategy; Business Model; AI and Machine Learning; Market Entry and Exit; Music Industry; China; United Kingdom; London
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      Zhang, Shunyuan, Feng Zhu, and Nancy Hua Dai. "Cheerful Music." Harvard Business School Case 525-031, November 2024. (Revised April 2025.)
      • November 2024 (Revised January 2025)
      • Case

      MiDAS: Automating Unemployment Benefits

      By: Shikhar Ghosh and Shweta Bagai
      In 2015, the state of Michigan considered whether to nominate its Michigan Integrated Data Automated System (MiDAS) for a prestigious state technology award. Launched in 2013 amid severe budget pressures, the $47 million automated fraud detection system was designed to... View Details
      Keywords: Artificial Intelligence; AI; Machine Learning Models; Algorithmic Data; Automation; Benefits; Compensation; Cost Reduction; Government; Fraud; Government Technology; Public Sector; Systems; Systems Integration; Unemployment Insurance; Waste Heat Recovery; AI and Machine Learning; Government Administration; Insurance; Decision Making; Digital Transformation; Employment; Public Administration Industry; United States; Michigan
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      Ghosh, Shikhar, and Shweta Bagai. "MiDAS: Automating Unemployment Benefits." Harvard Business School Case 825-100, November 2024. (Revised January 2025.)
      • 2024
      • Working Paper

      Climate Solutions, Transition Risk, and Stock Returns

      By: Shirley Lu, Edward J. Riedl, Simon Xu and George Serafeim
      Using large language models to measure firms' climate solution products and services, we find that high-climate solution firms exhibit lower stock returns and higher market valuation multiples. Their stock prices respond positively to events signaling increased demand... View Details
      Keywords: Technology; Generative Ai; Large Language Models; Climate Finance; Climate Change; Innovation and Invention; Environmental Sustainability; AI and Machine Learning; Investment; Financial Markets
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      Lu, Shirley, Edward J. Riedl, Simon Xu, and George Serafeim. "Climate Solutions, Transition Risk, and Stock Returns." Harvard Business School Working Paper, No. 25-024, November 2024.
      • November 2024
      • Supplement

      Epic Games: Nineteen Eighty-Fortnite (B)

      By: Andy Wu and Ronald Wang
      In a significant ruling on April 24, 2023, the U.S. Court of Appeals for the Ninth Circuit upheld portions of the district court’s decision against Epic Games back in September 2021. However, Apple’s anti-steering provisions, which restricted app developers from... View Details
      Keywords: Lawsuits and Litigation; Market Transactions; Applications and Software; Technology Industry; Technology Industry
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      Wu, Andy, and Ronald Wang. "Epic Games: Nineteen Eighty-Fortnite (B)." Harvard Business School Supplement 725-400, November 2024.
      • 2025
      • Working Paper

      Generative AI and the Nature of Work

      By: Manuel Hoffmann, Sam Boysel, Frank Nagle, Sida Peng and Kevin Xu
      Recent advances in artificial intelligence (AI) technology demonstrate a considerable potential to complement human capital intensive activities. While an emerging literature documents wide-ranging productivity effects of AI, relatively little attention has been paid... View Details
      Keywords: Generative Ai; Digital Work; Open Source Software; Knowledge Economy; AI and Machine Learning; Open Source Distribution; Organizational Structure; Performance Productivity; Labor
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      Hoffmann, Manuel, Sam Boysel, Frank Nagle, Sida Peng, and Kevin Xu. "Generative AI and the Nature of Work." Harvard Business School Working Paper, No. 25-021, October 2024. (Revised April 2025.)
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