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      • October 2024 (Revised June 2025)
      • Case

      Nvidia

      By: Andy Wu and Matt Higgins
      This case study examines Nvidia's strategic pivot from gaming GPUs to becoming a leader in general-purpose computing and AI. It explores how Nvidia leveraged its GPU architecture to dominate the growing fields of data center acceleration and AI training, outpacing... View Details
      Keywords: Strategy; Technological Innovation; AI and Machine Learning; Product Development; Manufacturing Industry; Technology Industry; Electronics Industry; United States; China; Taiwan
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      Wu, Andy, and Matt Higgins. "Nvidia." Harvard Business School Case 725-383, October 2024. (Revised June 2025.)
      • October 2024
      • Background Note

      The Semiconductor Industry

      By: Andy Wu, Steve Blank and Matt Higgins
      The semiconductor industry powers modern technology, from consumer electronics to data centers. This background note explores the layers of the semiconductor inudstry value chain, including Integrated Device Manufacturers (IDMs), fabless companies, and foundries, while... View Details
      Keywords: Strategy; Supply Chain; Product Design; Customer Value and Value Chain; Manufacturing Industry; Technology Industry; Semiconductor Industry; United States; China; Taiwan
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      Wu, Andy, Steve Blank, and Matt Higgins. "The Semiconductor Industry." Harvard Business School Background Note 725-398, 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.
      • 2024
      • Working Paper

      Foreign Influence in U.S. Politics

      By: Marco Grotteria, Max Miller and S. Lakshmi Naaraayanan
      This paper investigates the informational role of lobbyists in the context of foreign lobbying in the United States. Using Department of Justice data on contacts between foreign governments and US legislators, we show that exogenous shocks to these connections... View Details
      Keywords: Political Economy; Public Finance; Political Connections; Foreign Lobbying
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      Grotteria, Marco, Max Miller, and S. Lakshmi Naaraayanan. "Foreign Influence in U.S. Politics." Working Paper, October 2024.
      • 2025
      • Working Paper

      Global Evidence on Gender Gaps and Generative AI

      By: Nicholas G. Otis, Solène Delecourt, Katelynn Cranney and Rembrand Koning
      Generative AI has the potential to transform productivity and reduce inequality, but only if adopted broadly. In this paper, we show that recently identified gender gaps in generative AI use are nearly universal. Synthesizing data from 18 studies covering more than... View Details
      Keywords: AI and Machine Learning; Gender; Equality and Inequality; Technology Adoption; Behavior
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      Otis, Nicholas G., Solène Delecourt, Katelynn Cranney, and Rembrand Koning. "Global Evidence on Gender Gaps and Generative AI." Harvard Business School Working Paper, No. 25-023, October 2024. (Revised January 2025.)
      • 2024
      • Working Paper

      Pitfalls of Demographic Forecasts of U.S. Elections

      By: Richard Calvo, Vincent Pons and Jesse M. Shapiro
      Many observers have forecast large partisan shifts in the US electorate based on demographic trends. Such forecasts are appealing because demographic trends are often predictable even over long horizons. We backtest demographic forecasts using data on US elections... View Details
      Keywords: Mathematical Methods; Voting; Political Elections; Trends; Forecasting and Prediction; Demographics
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      Calvo, Richard, Vincent Pons, and Jesse M. Shapiro. "Pitfalls of Demographic Forecasts of U.S. Elections." NBER Working Paper Series, No. 33016, October 2024.
      • Fall 2024
      • Article

      Redemption Mechanisms in Poison Pills: Evidence on Pill Design and Law Firm Effects

      By: Olivier Baum and Guhan Subramanian
      We present the first evidence on the incidence of “trip wire” versus “last look” poison pills. Using a hand-collected data set of 130 poison pills implemented and/or amended between January 1, 2020 and March 31, 2023, we find that pills are almost evenly divided... View Details
      Keywords: Acquisition; Negotiation Tactics; Contracts
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      Baum, Olivier, and Guhan Subramanian. "Redemption Mechanisms in Poison Pills: Evidence on Pill Design and Law Firm Effects." Business Lawyer 79, no. 4 (Fall 2024): 1043–1069.
      • October 2024
      • Article

      Sampling Bias in Entrepreneurial Experiments

      By: Ruiqing Cao, Rembrand Koning and Ramana Nanda
      Using data from a prominent online platform for launching new digital products, we document that ‘sampling bias’—defined as the difference between a startup’s target customer base and the actual sample on which early ‘beta tests’ are conducted—has a systematic and... View Details
      Keywords: Target Market; Sampling Biases; Beta Testing; Product Launch; Entrepreneurship; Gender
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      Cao, Ruiqing, Rembrand Koning, and Ramana Nanda. "Sampling Bias in Entrepreneurial Experiments." Management Science 70, no. 10 (October 2024): 7283–7307.
      • 2024
      • Working Paper

      When Batteries Meet Hydrogen: Dual-Storage Investments for Load-Shifting Purposes

      By: Christian Kaps and Simone Marinesi
      Power systems account for nearly 40% of global emissions. As the world tries to reduce emissions by increasing renewable penetration, storage technologies are playing an increasingly important role in matching variable renewable supply with demand. Batteries have... View Details
      Keywords: Environmental Sustainability; Renewable Energy; Transition; Utilities Industry; Battery Industry
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      Kaps, Christian, and Simone Marinesi. "When Batteries Meet Hydrogen: Dual-Storage Investments for Load-Shifting Purposes." Working Paper, October 2024.
      • 2024
      • Working Paper

      Changing Perceptions and Post-Pandemic Monetary Policy

      By: Michael D. Bauer, Carolin Pflueger and Adi Sunderam
      We document that the Fed’s perceived monetary policy response to inflation shifted materially over the post-pandemic period. In forward-looking policy rules estimated from surveys of macroeconomic forecasters, the inflation coefficient rose significantly after liftoff... View Details
      Keywords: Policy; Inflation and Deflation; Interest Rates; Perception; Government Administration
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      Bauer, Michael D., Carolin Pflueger, and Adi Sunderam. "Changing Perceptions and Post-Pandemic Monetary Policy." Working Paper, September 2024.
      • September 2024
      • Supplement

      Assessing the Value of Unifying and De-Duplicating Customer Data Spreadsheet Supplement

      By: Elie Ofek
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      Ofek, Elie. "Assessing the Value of Unifying and De-Duplicating Customer Data Spreadsheet Supplement." Harvard Business School Spreadsheet Supplement 525-701, September 2024.
      • September 2024
      • Exercise

      Assessing the Value of Unifying and De-Duplicating Customer Data

      By: Elie Ofek and Hema Yoganarasimhan
      This exercise provides an opportunity for students to gain hands on experience with assessing the value of unifying various customer databases that a firm may have (e.g., across the different brands it markets) and of properly identifying customers to avoid duplication... View Details
      Keywords: Customer Relationship Management; Measurement and Metrics; Analytics and Data Science; Value
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      Ofek, Elie, and Hema Yoganarasimhan. "Assessing the Value of Unifying and De-Duplicating Customer Data." Harvard Business School Exercise 525-023, September 2024.
      • September 2024 (Revised September 2024)
      • Supplement

      Creating an AI-First Snack Company Exercise Data Supplement

      By: Iavor I Bojinov
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      Bojinov, Iavor I. "Creating an AI-First Snack Company Exercise Data Supplement." Harvard Business School Spreadsheet Supplement 625-703, September 2024. (Revised September 2024.)
      • 2024
      • Working Paper

      Fire Sales of Safe Assets

      By: Gabor Pinter, Emil Siriwardane and Danny Walker
      We use trade-level data to study price pressure effects in the UK gilt market from September to October 2022. During this period, forced sales by liability-driven investment funds (LDIs) led to price discounts on the order of 10%, accounting for roughly half the total... View Details
      Keywords: Investment Funds; Capital Markets; United Kingdom
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      Pinter, Gabor, Emil Siriwardane, and Danny Walker. "Fire Sales of Safe Assets." Harvard Business School Working Paper, No. 25-015, September 2024.
      • 2024
      • Working Paper

      Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python

      By: Melissa Ouellet and Michael W. Toffel
      This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in... View Details
      Keywords: Empirical Methods; Empirical Operations; Statistical Methods And Machine Learning; Statistical Interferences; Research Analysts; Analytics and Data Science; Mathematical Methods
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      Ouellet, Melissa, and Michael W. Toffel. "Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python." Harvard Business School Working Paper, No. 25-010, August 2024.
      • September 2024
      • Case

      Nvidia, Inc. in 2024 and the Future of AI

      By: David B. Yoffie and Sarah von Bargen
      Nvidia was one of the most successful companies in the world, reaching $3.4 trillion in valuation on June 18th, 2024. While Microsoft and Apple quickly recaptured the value crown, some analysts forecasted that Nvidia was so strongly positioned that it might become the... View Details
      Keywords: Customer Value and Value Chain; Price; Technological Innovation; Competition; Vertical Integration; Valuation; Technology Industry
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      Yoffie, David B., and Sarah von Bargen. "Nvidia, Inc. in 2024 and the Future of AI." Harvard Business School Case 725-360, September 2024.
      • September 2024
      • Teaching Note

      Amperity: First-Party Data at a Crossroads

      By: Elie Ofek and Hema Yoganarasimhan
      Teaching Note for HBS Case No. 524-017. View Details
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      Ofek, Elie, and Hema Yoganarasimhan. "Amperity: First-Party Data at a Crossroads." Harvard Business School Teaching Note 525-022, September 2024.
      • September 2024
      • Article

      Activist Directors: Determinants and Consequences

      By: Ian D. Gow, Sa-Pyung Sean Shin and Suraj Srinivasan
      This paper examines determinants and consequences of hedge fund activism, focusing on activist directors, i.e., directors appointed in response to activist demands. Using a sample of 3,259 activism events from 2004 to 2016, we identify 1,623 activist directors.... View Details
      Keywords: Governing and Advisory Boards; Investment Activism; Business and Shareholder Relations
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      Gow, Ian D., Sa-Pyung Sean Shin, and Suraj Srinivasan. "Activist Directors: Determinants and Consequences." Review of Accounting Studies 29, no. 3 (September 2024): 2578–2616.
      • 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

      The New Digital Divide

      By: Mayana Pereira, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia and Juan Lavista Ferres
      We build and analyze new metrics of digital usage that leverage telemetry data collected by Microsoft during operating system updates across forty million Windows devices in U.S. households. These measures of US household digital usage are much more comprehensive than... View Details
      Keywords: Mathematical Methods; Measurement and Metrics; Geographic Location; Behavior; Technology Adoption; Demographics
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      Pereira, Mayana, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia, and Juan Lavista Ferres. "The New Digital Divide." NBER Working Paper Series, No. 32932, September 2024.
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