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      • February 2025
      • Tutorial

      Preparing Business Leaders for an Era of Climate Instability: Understanding and Managing Physical Climate Risk

      By: Michael W. Toffel and Spencer Glendon
      In this compelling video, Spencer Glendon, founder of Probable Futures and Executive Fellow at Harvard Business School, describes the profound implications of climate change for businesses, the economy, and societies around the world. Drawing from his background in... View Details
      Keywords: Modeling; Climate Change; Adaptation; Risk and Uncertainty; Risk Management; Forecasting and Prediction
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      Toffel, Michael W., and Spencer Glendon. Preparing Business Leaders for an Era of Climate Instability: Understanding and Managing Physical Climate Risk. Harvard Business School Tutorial 625-709, February 2025. (Click here for HBP Educators link.)
      • 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

      Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning

      By: Liangzong Ma, Ta-Wei Huang, Eva Ascarza and Ayelet Israeli
      Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships between customer states, company actions, and long-term value. However, its practical implementation often faces significant challenges.... View Details
      Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science
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      Ma, Liangzong, Ta-Wei Huang, Eva Ascarza, and Ayelet Israeli. "Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning." Harvard Business School Working Paper, No. 25-037, 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.
      • 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
      • Supplement

      Hippo: Weathering the Storm of the Home Insurance Crisis (B)

      By: Lauren Cohen, Grace Headinger and Sophia Pan
      Rick McCathron, CEO of Hippo, was optimistic about the InsurTech's path to profitability after navigating the financial uncertainties of 2022. By bundling their home insurance services with third-parties and established insurance incumbents, Hippo was adopting a... View Details
      Keywords: Fintech; Underwriters; Big Data; Homeowners' Insurance; Catastrophe Risk; Global Warming; Environment; Business Economics; Vertical Specialization; Bundling; Economies Of Scale; Business Model; Forecasting and Prediction; Climate Change; Environmental Sustainability; Green Technology; Technological Innovation; Natural Environment; Natural Disasters; Weather; Business Strategy; Competitive Advantage; Business Earnings; Insurance; Social Issues; Profit; Growth and Development Strategy; Insurance Industry; California; United States
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      Cohen, Lauren, Grace Headinger, and Sophia Pan. "Hippo: Weathering the Storm of the Home Insurance Crisis (B)." Harvard Business School Supplement 225-051, January 2025.
      • January 2025
      • Case

      AI Meets VC: The Data-Driven Revolution at Quantum Light Capital

      By: Lauren Cohen, Grace Headinger and Sophia Pan
      Ilya Kondrashov, CEO of Quantum Light Capital, was driven to harness AI for identifying high-potential scale-ups. Collaborating with Nik Storonsky, founder of Revolut, the duo observed that most venture capital (VC) decisions were heavily influenced by emotion, with... View Details
      Keywords: Artificial Intelligence; Business Finance; Data Analysis; Angel Investors; Cognitive Biases; Scale; Venture Capital; Investment; Business Model; Forecasting and Prediction; Technological Innovation; Innovation Strategy; Behavior; Cognition and Thinking; Public Opinion; Private Sector; Business Strategy; Competitive Advantage; Business Earnings; Behavioral Finance; AI and Machine Learning; Analytics and Data Science; Business Startups; Financial Services Industry; London; United Kingdom
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      Cohen, Lauren, Grace Headinger, and Sophia Pan. "AI Meets VC: The Data-Driven Revolution at Quantum Light Capital." Harvard Business School Case 225-053, January 2025.
      • January 2025
      • Case

      North Forty: Managing Liquidity Through Change

      By: Luis M. Viceira and Brad Towne
      This case explores the interaction between spending and investment decisions at a family office, specifically the family office of Jeff and Tricia Raikes, with special emphasis on the management of spending, portfolio investments, and asset liquidity in the presence of... View Details
      Keywords: Family Office; Forecasting and Prediction; Asset Management; Financial Liquidity; Financial Strategy; Investment Portfolio; Spending; Planning
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      Viceira, Luis M., and Brad Towne. "North Forty: Managing Liquidity Through Change." Harvard Business School Case 225-061, January 2025.
      • January 2025
      • Article

      Automatic Enrollment with a 12% Default Contribution Rate

      By: John Beshears, Ruofei Guo, David Laibson, Brigitte C. Madrian and James J. Choi
      We study a retirement savings plan with a default contribution rate of 12% of income, which is much higher than previously studied defaults. Twenty-five percent of employees had not opted out of this default 12 months after hire; a literature review finds that the... View Details
      Keywords: Retirement Savings; Defined Contribution Retirement Plan; Automatic Enrollment; Retirement; Saving; Income; Decision Choices and Conditions
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      Beshears, John, Ruofei Guo, David Laibson, Brigitte C. Madrian, and James J. Choi. "Automatic Enrollment with a 12% Default Contribution Rate." Journal of Pension Economics & Finance 24, no. 1 (January 2025): 152–182. (20th Anniversary Special Issue.)
      • 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.)
      • 2024
      • Working Paper

      The Real Effects of Bankruptcy Forum Shopping

      By: Samuel Antill and Aymeric Bellon
      Many non-Delaware firms strategically file for bankruptcy in Delaware. Should this "forum shopping" be allowed? This question has motivated six congressional bill proposals over decades of policy debate. Using a novel natural experiment and Census-Bureau microdata, we... View Details
      Keywords: Insolvency and Bankruptcy; Government Legislation; Policy; Geographic Location; Delaware
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      Antill, Samuel, and Aymeric Bellon. "The Real Effects of Bankruptcy Forum Shopping." Working Paper, December 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–December 2024
      • Article

      Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing

      By: Kirk Bansak and Elisabeth Paulson
      This study proposes two new dynamic assignment algorithms to match refugees and asylum seekers to geographic localities within a host country. The first, currently implemented in a multi-year pilot in Switzerland, seeks to maximize the average predicted employment... View Details
      Keywords: AI and Machine Learning; Refugees; Geographic Location; Employment
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      Bansak, Kirk, and Elisabeth Paulson. "Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing." Operations Research 72, no. 6 (November–December 2024): 2375–2390.
      • November 2024
      • Article

      Perceptions About Monetary Policy

      By: Michael D. Bauer, Carolin Pflueger and Adi Sunderam
      We estimate perceptions about the Federal Reserve’s monetary policy rule from panel data on professional forecasts of interest rates and macroeconomic conditions. The perceived dependence of the federal funds rate on economic conditions varies substantially over time,... View Details
      Keywords: Monetary Policy; Policy; Interest Rates; Perception; Economy; Forecasting and Prediction
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      Bauer, Michael D., Carolin Pflueger, and Adi Sunderam. "Perceptions About Monetary Policy." Quarterly Journal of Economics 139, no. 4 (November 2024): 2227–2278.
      • November 2024
      • Article

      The Health Costs of Cost Sharing

      By: Amitabh Chandra, Evan Flack and Ziad Obermeyer
      What happens when patients suddenly stop their medications? We study the health consequences of drug interruptions caused by large, abrupt, and arbitrary changes in price. Medicare’s prescription drug benefit as-if-randomly assigns 65-year-olds a drug budget as a... View Details
      Keywords: Outcome or Result; Health Care and Treatment; Budgets and Budgeting; Cost
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      Chandra, Amitabh, Evan Flack, and Ziad Obermeyer. "The Health Costs of Cost Sharing." Quarterly Journal of Economics 139, no. 4 (November 2024): 2037–2082.
      • October 2024
      • Teaching Plan

      Teamworks: Tackling a Forecasting Fumble

      By: Lou Shipley and Stacy Straaberg
      In late March 2018, Teamworks CEO Zach Maurides learned Q1 2018 sales were at risk for a large forecasting miss. Founded in 2004, Teamworks’s software application assisted support staff in messaging, scheduling, and sharing documents with collegiate and professional... View Details
      Keywords: Acquisition; Business Growth and Maturation; Communication Strategy; Decisions; Forecasting and Prediction; Business Cycles; Technological Innovation; Sports; Growth and Development Strategy; Resource Allocation; Marketing; Sales; Business Strategy; Expansion; Sports Industry; Technology Industry; United States; North Carolina
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      Shipley, Lou, and Stacy Straaberg. "Teamworks: Tackling a Forecasting Fumble." Harvard Business School Teaching Plan 825-003, October 2024.
      • October 18, 2024
      • Article

      Why Workplace Well-Being Programs Don’t Achieve Better Outcomes

      By: Jazz Croft, Acacia Parks and Ashley Whillans
      By 2026, global corporate spending on wellness programs is set to top $94.6 billion, yet anticipated improvements in well-being are not being realized, and, in fact, mental health needs are continuing to rise around the world. Drawing on a large body of recent... View Details
      Keywords: Organizational Culture; Employees; Well-being
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      Croft, Jazz, Acacia Parks, and Ashley Whillans. "Why Workplace Well-Being Programs Don’t Achieve Better Outcomes." Harvard Business Review Digital Articles (October 18, 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.
      • October 2024
      • Article

      Founder-CEO Compensation and Selection into Venture Capital-Backed Entrepreneurship

      By: Michael Ewens, Ramana Nanda and Christopher Stanton
      We show theoretically that a critical determinant of the attractiveness of VC-backed entrepreneurship for high-earning potential founders is the expected time to develop a startup’s initial product. This is because founder-CEOs’ cash compensation increases... View Details
      Keywords: Entrepreneurship; Venture Capital; Executive Compensation
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      Ewens, Michael, Ramana Nanda, and Christopher Stanton. "Founder-CEO Compensation and Selection into Venture Capital-Backed Entrepreneurship." Journal of Finance 79, no. 5 (October 2024): 3361–3405.
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