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    • All HBS Web  (3,769)
      • Faculty Publications  (497)

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      • 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
      • Article

      On the Representativeness of Voter Turnout

      By: Louis Kaplow and Scott Duke Kominers
      Prominent theory research on voting analyzes a variety of models in which expected pivotality drives voters' turnout decisions and hence determines voting outcomes. It is recognized, however, that such work is at odds with Downs's paradox: in practice, many... View Details
      Keywords: Voting Behavior; Voting Turnout; Paradox Of Voting; Pivotality; Elections; Model; Theory; Governance Transparency; Government; Democracy; Turnout; Voting; Governance; Government and Politics; Public Sector; Political Elections
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      Kaplow, Louis, and Scott Duke Kominers. "On the Representativeness of Voter Turnout." Journal of Law & Economics 67, no. 4 (November 2024): 879–904.
      • November 2024
      • Article

      Preference Externality Estimators: A Comparison of Border Approaches and IVs

      By: Xi Ling, Wesley R. Hartmann and Tomomichi Amano
      This paper compares two estimators—the Border Approach and an Instrumental Variable (IV) estimator—using a unified framework where identifying variation arises from “preference externalities,” following the intuition in Waldfogel (2003). We highlight two dimensions in... View Details
      Keywords: Econometrics; Casual Inference; Marketing; Economics; Advertising; Mathematical Methods
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      Ling, Xi, Wesley R. Hartmann, and Tomomichi Amano. "Preference Externality Estimators: A Comparison of Border Approaches and IVs." Management Science 70, no. 11 (November 2024): 7892–7910.
      • 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.
      • October 2024
      • Article

      Canary Categories

      By: Eric Anderson, Chaoqun Chen, Ayelet Israeli and Duncan Simester
      Past customer spending in a category is generally a positive signal of future customer spending. We show that there exist “canary categories” for which the reverse is true. Purchases in these categories are a signal that customers are less likely to return to that... View Details
      Keywords: Churn; Churn Management; Churn/retention; Assortment Planning; Retail; Retailing; Retailing Industry; Preference Heterogeneity; Assortment Optimization; Customers; Retention; Consumer Behavior; Forecasting and Prediction; Retail Industry
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      Anderson, Eric, Chaoqun Chen, Ayelet Israeli, and Duncan Simester. "Canary Categories." Journal of Marketing Research (JMR) 61, no. 5 (October 2024): 872–890.
      • 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

      Open Door Legal: Universal Legal Access

      By: Brian Trelstad, Taylor Greenthal and Sarah Mehta
      This case is about Open Door Legal (ODL), a San Francisco-based civil legal aid nonprofit. CEO Adrian Tirtanadi founded the organization in 2012 with a mission to achieve universal access to legal representation for all city residents. By 2024, ODL had opened four... View Details
      Keywords: Social Entrepreneurship; Law; Growth Management; Nonprofit Organizations; Civil Society or Community; Business Model; Expansion; Legal Services Industry; United States; California; Los Angeles; San Francisco
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      Trelstad, Brian, Taylor Greenthal, and Sarah Mehta. "Open Door Legal: Universal Legal Access." Harvard Business School Case 325-006, September 2024.
      • September 2024
      • Case

      Eat App: Building and Monetizing an End-to-End Dining Experience Solution

      By: Elie Ofek and Ahmed Dahawy
      Founded in 2015 in Bahrain, Eat App was an up-and-coming player in the global restaurant management software business. In early 2024, having shifted to a product-led growth strategy, the company’s co-founders faced a host of decisions that could greatly impact their... View Details
      Keywords: Price; Growth and Development Strategy; Product Marketing; Negotiation Deal; Internet and the Web; Value Creation; Profit; Revenue; Applications and Software; Product; Food and Beverage Industry; Technology Industry; Bahrain; United Arab Emirates; Abu Dhabi; Dubai
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      Ofek, Elie, and Ahmed Dahawy. "Eat App: Building and Monetizing an End-to-End Dining Experience Solution." Harvard Business School Case 525-019, September 2024.
      • 2024
      • Article

      Learning Under Random Distributional Shifts

      By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler
      Algorithmic assignment of refugees and asylum seekers to locations within host countries has gained attention in recent years, with implementations in the U.S. and Switzerland. These approaches use data on past arrivals to generate machine learning models that can... View Details
      Keywords: AI and Machine Learning; Refugees; Employment
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      Bansak, Kirk, Elisabeth Paulson, and Dominik Rothenhäusler. "Learning Under Random Distributional Shifts." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 27th (2024).
      • 2024
      • Working Paper

      Voting Rules, Turnout, and Economic Policies

      By: Enrico Cantoni, Vincent Pons and Jérôme Schäfer
      In recent years, voter ID laws and convenience voting have generated heated partisan debates. To shed light on these policy issues, we survey the recent evidence on the institutional determinants and effects of voter turnout and broaden the perspective beyond the most... View Details
      Keywords: Voting; Political Elections; Policy
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      Cantoni, Enrico, Vincent Pons, and Jérôme Schäfer. "Voting Rules, Turnout, and Economic Policies." NBER Working Paper Series, No. 32941, September 2024.
      • August 2024
      • Case

      Ashesi University: The Journey from Vision to Reality

      By: Ranjay Gulati and Caroline de Lacvivier
      In 1997, Patrick Awuah had a dream: to bring liberal arts education to Ghana. Amid the country’s declining economy and pervasive corruption problems, Awuah saw education as an opportunity to reverse its fortunes by investing in the next generation of African leaders.... View Details
      Keywords: Developing Countries and Economies; Higher Education; Entrepreneurship; Leadership Development; Growth Management; Mission and Purpose; Private Ownership; Education Industry; Ghana
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      Gulati, Ranjay, and Caroline de Lacvivier. "Ashesi University: The Journey from Vision to Reality." Harvard Business School Case 425-032, August 2024.
      • August 2024 (Revised March 2025)
      • Case

      DBS' AI Journey

      By: Feng Zhu, Harold Zhu and Adina Wong
      Headquartered in Singapore, DBS Bank, one of Asia's leading financial services groups, embarked on a multi-year digital transformation under CEO Piyush Gupta in 2014. It was then that DBS also began experimenting with AI to drive value for the business and customers.... View Details
      Keywords: Corporate Governance; AI and Machine Learning; Digital Transformation; Risk Management; Value Creation; Banking Industry; Financial Services Industry; Asia; Singapore
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      Zhu, Feng, Harold Zhu, and Adina Wong. "DBS' AI Journey." Harvard Business School Case 625-053, August 2024. (Revised March 2025.)
      • 20 Aug 2024
      • Interview

      Angel City Football Club: A New Business Model for Women’s Sports

      By: Jeffrey F. Rayport, Brian Kenny and Nicole Tempest Keller
      Angel City Football Club (ACFC) was founded in 2020 by venture capitalist Kara Nortman, entrepreneur Julie Uhrman, and actor and activist Natalie Portman. As outsiders to professional sports, the all-female founding team had rewritten the playbook for how to build a... View Details
      Keywords: Brands and Branding; Gender; Franchise Ownership; Business Model; Sports Industry
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      "Angel City Football Club: A New Business Model for Women’s Sports." Cold Call (podcast), Harvard Business Review Group, August 20, 2024. (Interviewed by Brian Kenny.)
      • August 2024
      • Article

      How Do Copayment Coupons Affect Branded Drug Prices and Quantities Purchased?

      By: Leemore S. Dafny, Kate Ho and Edward Kong
      Drug copayment coupons to reduce patient cost-sharing have become nearly ubiquitous for high-priced brand-name prescription drugs. Medicare bans such coupons on the grounds that they are kickbacks that induce utilization, but they are commonly used by... View Details
      Keywords: Prescription Drugs; Coupons; Impact; Health Care and Treatment; Markets; Price; Spending; Pharmaceutical Industry; United States
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      Dafny, Leemore S., Kate Ho, and Edward Kong. "How Do Copayment Coupons Affect Branded Drug Prices and Quantities Purchased?" American Economic Journal: Economic Policy 16, no. 3 (August 2024): 314–346.
      • July 2024
      • Case

      RMZ 4.0: 'How Fast Do We Want to Run?'

      By: Boris Groysberg and Sarah L. Abbott
      In 2023, RMZ Corporation (“RMZ”) a large family-owned real estate firm based in Bengaluru, India, announced plans to transform from a commercial real estate developer to a diversified alternative asset owner. Over the next 5 years, RMZ looked to grow its real estate... View Details
      Keywords: International Expansion; Growth Management; Family Business; Talent and Talent Management; Goals and Objectives; Transformation; Growth and Development Strategy; Diversification; Change Management; Global Strategy; Organizational Change and Adaptation; Real Estate Industry; India
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      Groysberg, Boris, and Sarah L. Abbott. "RMZ 4.0: 'How Fast Do We Want to Run?'." Harvard Business School Case 425-010, 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–August 2024
      • Article

      The Middle Path to Innovation

      By: Regina E. Herzlinger, Duke Rohlen, Ben Creo and Will Kynes
      Too many companies are failing to innovate. One reason, say the authors, is the polarized approach companies take to innovation. At one end of the spectrum, corporate R&D efforts tend to focus on product refreshes and incremental line upgrades that generate modest... View Details
      Keywords: Innovation Strategy; Medical Devices and Supplies Industry
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      Herzlinger, Regina E., Duke Rohlen, Ben Creo, and Will Kynes. "The Middle Path to Innovation." Harvard Business Review 102, no. 4 (July–August 2024): 134–145.
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