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      • Faculty Publications  (163)

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      • 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
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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.
      • April 2025
      • Case

      Joe Mazzulla and the Boston Celtics (A)

      By: Linda A. Hill, James I. Cash and Lydia Begag
      Joe Mazzulla's leadership journey with the Boston Celtics began in 2016 when he served as an assistant coach for their NBA G-League affiliate. In 2019, he was promoted to a "behind-the-bench" assistant coaching role with the Celtics, before being asked to become the... View Details
      Keywords: Personal Development and Career; Change Management; Communication; Values and Beliefs; Innovation and Invention; Decision Making; Innovation Leadership; Collaborative Innovation and Invention; Leadership; Leading Change; Leadership Development; Leadership Style; Crisis Management; Management Skills; Business Processes; Organizational Culture; Organizational Structure; Performance Efficiency; Sports Industry; Entertainment and Recreation Industry; United States
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      Hill, Linda A., James I. Cash, and Lydia Begag. "Joe Mazzulla and the Boston Celtics (A)." Harvard Business School Case 425-059, April 2025.
      • April 2025
      • Supplement

      Joe Mazzulla and the Boston Celtics (B)

      By: Linda A. Hill, James I. Cash and Lydia Begag
      This case is a supplement to “Joe Mazzulla and the Boston Celtics” (A) and is set against the backdrop of the 2024 NBA Finals. It describes the impact of Mazzulla’s decision to rally his team with an aggressive “go for the kill” mindset instead of choosing language... View Details
      Keywords: Personal Development and Career; Change Management; Communication; Values and Beliefs; Innovation and Invention; Decision Making; Innovation Leadership; Collaborative Innovation and Invention; Leadership; Leading Change; Leadership Development; Leadership Style; Crisis Management; Management Skills; Business Processes; Organizational Culture; Organizational Structure; Performance Efficiency; Sports Industry; Entertainment and Recreation Industry; United States
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      Hill, Linda A., James I. Cash, and Lydia Begag. "Joe Mazzulla and the Boston Celtics (B)." Harvard Business School Supplement 425-060, April 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.)
      • 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.)
      • January 2025
      • Technical Note

      AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix

      By: Tsedal Neeley and Tim Englehart
      This technical note introduces the confusion matrix as a foundational tool in artificial intelligence (AI) and large language models (LLMs) for assessing the performance of classification models, focusing on their reliability for decision-making. A confusion matrix... View Details
      Keywords: Reliability; Confusion Matrix; AI and Machine Learning; Decision Making; Measurement and Metrics; Performance
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      Neeley, Tsedal, and Tim Englehart. "AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix." Harvard Business School Technical Note 425-049, January 2025.
      • January 2025
      • Case

      Netflix: Takedown Troubles

      By: Clayton S. Rose, Tom Quinn and Maxim Pike Harrell
      In October 2021, Netflix Co-CEO Ted Sarandos sent an all-staff email addressing backlash to comedian Dave Chappelle’s new stand-up special, The Closer. Released on October 5, the comedian’s depiction of the transgender community and other LGBTQ+ groups prompted... View Details
      Keywords: Disruption; Talent and Talent Management; Customer Satisfaction; Cost vs Benefits; Demographics; Ethics; Corporate Accountability; Employees; Recruitment; Retention; Leadership; Crisis Management; Risk Management; Corporate Social Responsibility and Impact; Mission and Purpose; Organizational Change and Adaptation; Organizational Culture; Civil Society or Community; Social Issues; Strategic Planning; Adaptation; Decisions; Motion Pictures and Video Industry
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      Rose, Clayton S., Tom Quinn, and Maxim Pike Harrell. "Netflix: Takedown Troubles." Harvard Business School Case 325-021, January 2025.
      • 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.
      • 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.
      • 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.
      • 2024
      • Working Paper

      Catalysts for Climate Solutions: Corporate Responses to Venture Capital Financing of Climate-tech Startups

      By: Shirley Lu, George Serafeim and Simon Xu
      We study whether incumbent firms increase their product focus on climate solutions in response to venture capital (VC) financing of climate-tech startups. Using large language models to measure a firm's focus on climate solutions, we find that incumbents in similar... View Details
      Keywords: Climate Finance; Climate Change; Technological Innovation; Entrepreneurship; Venture Capital; Private Equity; Environmental Sustainability; Business Startups
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      Lu, Shirley, George Serafeim, and Simon Xu. "Catalysts for Climate Solutions: Corporate Responses to Venture Capital Financing of Climate-tech Startups." Harvard Business School Working Paper, No. 25-025, November 2024.
      • October 2024
      • Technical Note

      Prompt Engineering

      By: Michael Parzen and Jo Ellery
      This note covers the basics of prompt engineering, a key tool for making use of modern generative AI. We discuss the principles of prompt engineering and illustrate these principles with techniques for asking questions. We further list the types of prompts that can be... View Details
      Keywords: Large Language Model; AI and Machine Learning
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      Parzen, Michael, and Jo Ellery. "Prompt Engineering." Harvard Business School Technical Note 625-056, October 2024.
      • September–October 2024
      • Article

      The Crowdless Future? Generative AI and Creative Problem-Solving

      By: Léonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic and Karim R. Lakhani
      The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy... View Details
      Keywords: Large Language Models; Generative Ai; Crowdsourcing; AI and Machine Learning; Creativity; Technological Innovation
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      Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? Generative AI and Creative Problem-Solving." Organization Science 35, no. 5 (September–October 2024): 1589–1607.
      • September 2024
      • Case

      Xendit: Hiring for Growth

      By: Jeffrey F. Rayport, Steve Castano, Quoc Anh Nguyen and Claire Wu
      In 2019, Xendit, a growth-stage Southeast Asia (SEA) fintech venture based in Jakarta, was looking to hire a Head of Sales and Head of Product to lead its next phase of growth. Founded by Moses Lo and Tessa Wijaya, Xendit provided payment infrastructure, modeling... View Details
      Keywords: Fintech; Financing and Loans; Entrepreneurship; Jobs and Positions; Sales; Product; Growth and Development; Selection and Staffing; Organizational Culture; Expansion; Financial Services Industry; Technology Industry; Southeast Asia; Indonesia; Philippines
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      Rayport, Jeffrey F., Steve Castano, Quoc Anh Nguyen, and Claire Wu. "Xendit: Hiring for Growth." Harvard Business School Case 825-046, September 2024.
      • 2024
      • Working Paper

      The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations

      By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang
      The rise of generative artificial intelligence (AI) is transforming creative problem-solving, necessitating new approaches for evaluating innovative solutions. This study explores how human-AI collaboration can enhance early-stage evaluations, focusing on the interplay... View Details
      Keywords: Large Language Models; AI and Machine Learning; Innovation and Invention; Decision Making
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      Lane, Jacqueline N., Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh, and Pei-Hsin Wang. "The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations." Harvard Business School Working Paper, No. 25-001, August 2024. (Revised August 2024.)
      • July 2024
      • Technical Note

      Introduction to SQL in Python

      By: Michael Parzen and Jo Ellery
      This note walks through the basics of SQL and how to use this language in Python via the SQLite package. View Details
      Keywords: Analytics and Data Science
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      Parzen, Michael, and Jo Ellery. "Introduction to SQL in Python." Harvard Business School Technical Note 625-024, July 2024.
      • July 2024
      • Article

      Chatbots and Mental Health: Insights into the Safety of Generative AI

      By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp and Stefano Puntoni
      Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety... View Details
      Keywords: Autonomy; Chatbots; New Technology; Brand Crises; Mental Health; Large Language Model; AI and Machine Learning; Behavior; Well-being; Technological Innovation; Ethics
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      De Freitas, Julian, Ahmet Kaan Uğuralp, Zeliha Uğuralp, and Stefano Puntoni. "Chatbots and Mental Health: Insights into the Safety of Generative AI." Journal of Consumer Psychology 34, no. 3 (July 2024): 481–491.
      • July 2024
      • Article

      How Artificial Intelligence Constrains Human Experience

      By: A. Valenzuela, S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino and K. Wertenbroch
      Many consumption decisions and experiences are digitally mediated. As a consequence, consumer behavior is increasingly the joint product of human psychology and ubiquitous algorithms (Braun et al. 2024; cf. Melumad et al. 2020). The coming of age of Large Language... View Details
      Keywords: Large Language Model; User Experience; AI and Machine Learning; Consumer Behavior; Technology Adoption; Risk and Uncertainty; Cost vs Benefits
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      Valenzuela, A., S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino, and K. Wertenbroch. "How Artificial Intelligence Constrains Human Experience." Journal of the Association for Consumer Research 9, no. 3 (July 2024): 241–256.
      • 2024
      • Working Paper

      AI Companions Reduce Loneliness

      By: Julian De Freitas, Ahmet K. Uğuralp, Zeliha O. Uğuralp and Stefano Puntoni
      Chatbots are now able to engage in sophisticated conversations with consumers in the domain of relationships, providing a potential coping solution to widescale societal loneliness. Behavioral research provides little insight into whether these applications are... View Details
      Keywords: AI and Machine Learning; Technological Innovation; Behavior; Well-being
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      De Freitas, Julian, Ahmet K. Uğuralp, Zeliha O. Uğuralp, and Stefano Puntoni. "AI Companions Reduce Loneliness." Harvard Business School Working Paper, No. 24-078, June 2024.
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