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      • May 2022
      • Supplement

      Maestro Pizza (B): The Competition Awakens

      By: Ramon Casadesus-Masanell and Fares Khrais
      Maestro pizza opened its first store in 2013 after its founder, Khalid Al Omran, recognized an opportunity in Saudi Arabia to offer high quality pizza at affordable prices. The business grew rapidly and under the radar at first, but soon enough caught the attention of... View Details
      Keywords: Competitive Strategy; Competitive Advantage; Competition; Market Entry and Exit; Emerging Markets; Business Startups; Corporate Entrepreneurship; Product Positioning; Disruption; Disruptive Innovation; Advertising; Advertising Campaigns; Social Media; Forecasting and Prediction; Crisis Management; Growth and Development Strategy; Brands and Branding; Product Development; Production; Service Delivery; Business Growth and Maturation; Financial Statements; Cost Management; Analysis; Quality; Performance Consistency; Customer Satisfaction; Profit; Family Ownership; Food and Beverage Industry; Saudi Arabia; Middle East
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      Casadesus-Masanell, Ramon, and Fares Khrais. "Maestro Pizza (B): The Competition Awakens." Harvard Business School Supplement 722-400, May 2022.
      • May 2022
      • Supplement

      Maestro Pizza (C): Taking the Fight Outside

      By: Ramon Casadesus-Masanell and Fares Khrais
      Maestro pizza opened its first store in 2013 after its founder, Khalid Al Omran, recognized an opportunity in Saudi Arabia to offer high quality pizza at affordable prices. The business grew rapidly and under the radar at first, but soon enough caught the attention of... View Details
      Keywords: Competitive Strategy; Competitive Advantage; Competition; Market Entry and Exit; Emerging Markets; Business Startups; Corporate Entrepreneurship; Product Positioning; Disruption; Disruptive Innovation; Advertising; Advertising Campaigns; Social Media; Forecasting and Prediction; Crisis Management; Growth and Development Strategy; Brands and Branding; Product Development; Production; Service Delivery; Business Growth and Maturation; Financial Statements; Cost Management; Analysis; Quality; Performance Consistency; Customer Satisfaction; Profit; Family Ownership; Food and Beverage Industry; Middle East; Saudi Arabia
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      Casadesus-Masanell, Ramon, and Fares Khrais. "Maestro Pizza (C): Taking the Fight Outside." Harvard Business School Supplement 722-401, May 2022.
      • May 2022
      • Case

      Maestro Pizza: Coming in Hot!

      By: Ramon Casadesus-Masanell and Fares Khrais
      Maestro Pizza opened its first store in 2013 after its founder, Khalid Al Omran, recognized an opportunity in Saudi Arabia to offer high quality pizza at affordable prices. The business grew rapidly and under the radar at first, but soon enough caught the attention of... View Details
      Keywords: Competitive Strategy; Competitive Advantage; Competition; Market Entry and Exit; Emerging Markets; Business Startups; Corporate Entrepreneurship; Product Positioning; Disruption; Disruptive Innovation; Advertising; Advertising Campaigns; Social Media; Forecasting and Prediction; Crisis Management; Growth and Development Strategy; Brands and Branding; Product Development; Production; Service Delivery; Business Growth and Maturation; Financial Statements; Cost Management; Analysis; Quality; Performance Consistency; Customer Satisfaction; Profit; Family Ownership; Food and Beverage Industry; Middle East; Saudi Arabia
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      Casadesus-Masanell, Ramon, and Fares Khrais. "Maestro Pizza: Coming in Hot!" Harvard Business School Case 722-399, May 2022.
      • May 2022
      • Article

      Coins for Bombs: The Predictive Ability of On-Chain Transfers for Terrorist Attacks

      By: Dan Amiram, Evgeny Lyandres and Daniel Rabetti
      This study examines whether we can learn from the behavior of blockchain-based transfers to predict the financing of terrorist attacks. We exploit blockchain transaction transparency to map millions of transfers for hundreds of large on-chain service providers. The... View Details
      Keywords: Blockchain; Bitcoin; Accounting; AI and Machine Learning; National Security; Governing Rules, Regulations, and Reforms
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      Amiram, Dan, Evgeny Lyandres, and Daniel Rabetti. "Coins for Bombs: The Predictive Ability of On-Chain Transfers for Terrorist Attacks." Journal of Accounting Research 60, no. 2 (May 2022): 427–466.
      • April 12, 2022
      • Article

      Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States

      By: Estee Y. Cramer, Evan L. Ray, Velma K. Lopez, Johannes Bracher, Andrea Brennen, Alvaro J. Castro Rivadeneira, Michael Lingzhi Li and et al.
      Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models... View Details
      Keywords: COVID-19; Forecasting and Prediction; Health Pandemics; Mathematical Methods; Partners and Partnerships
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      Cramer, Estee Y., Evan L. Ray, Velma K. Lopez, Johannes Bracher, Andrea Brennen, Alvaro J. Castro Rivadeneira, Michael Lingzhi Li, and et al. "Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States." e2113561119. Proceedings of the National Academy of Sciences 119, no. 15 (April 12, 2022). (See full author list here.)
      • April 2022
      • Article

      Predictable Financial Crises

      By: Robin Greenwood, Samuel G. Hanson, Andrei Shleifer and Jakob Ahm Sørensen
      Using historical data on post-war financial crises around the world, we show that crises are substantially predictable. The combination of rapid credit and asset price growth over the prior three years, whether in the nonfinancial business or the household sector, is... View Details
      Keywords: Financial Crisis; Global Range; Forecasting and Prediction; Mathematical Methods
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      Greenwood, Robin, Samuel G. Hanson, Andrei Shleifer, and Jakob Ahm Sørensen. "Predictable Financial Crises." Journal of Finance 77, no. 2 (April 2022): 863–921.
      • March 2022
      • Case

      Auto Mag (Abridged)

      By: David E. Bell
      A young HBS graduate purchases a publisher of specialty magazines that advertises second hand cars, boats, trucks, etc. The magazines carry photographs and a brief description of each article for sale. The company faces the problem of deciding on how many magazines to... View Details
      Keywords: Distribution; Cost Management; Decision Choices and Conditions; Forecasting and Prediction
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      Bell, David E. "Auto Mag (Abridged)." Harvard Business School Case 122-096, March 2022.
      • March 2022 (Revised January 2025)
      • Technical Note

      Prediction & Machine Learning

      By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
      This note provides an introduction to machine learning for an introductory data science course. The note begins with a description of supervised, unsupervised, and reinforcement learning. Then, the note provides a brief explanation of the difference between traditional... View Details
      Keywords: Machine Learning; Data Science; Learning; Analytics and Data Science; Performance Evaluation; AI and Machine Learning
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      Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Prediction & Machine Learning." Harvard Business School Technical Note 622-101, March 2022. (Revised January 2025.)
      • Article

      Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)

      By: Eva Ascarza and Ayelet Israeli

      An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details

      Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods
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      Ascarza, Eva, and Ayelet Israeli. "Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)." e2115126119. Proceedings of the National Academy of Sciences 119, no. 11 (March 8, 2022).
      • Article

      Expected Stock Returns Worldwide: A Log-Linear Present-Value Approach

      By: Akash Chattopadhyay, Matthew R. Lyle and Charles C.Y. Wang
      This study provides the first large-scale study of the performance of expected-return proxies (ERPs) internationally. Analyst-forecast-based ICCs are sparsely populated and not robustly associated with future returns. Earnings-model-forecast-based ICCs are... View Details
      Keywords: Expected Returns; Discount Rates; Fundamental Valuation; Implied Cost Of Capital; International Equity Markets; Present Value; Investment Return; Equity; Markets; Global Range
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      Chattopadhyay, Akash, Matthew R. Lyle, and Charles C.Y. Wang. "Expected Stock Returns Worldwide: A Log-Linear Present-Value Approach." Accounting Review 97, no. 2 (March 2022): 107–133.
      • Article

      From Immigrants to Americans: Race and Assimilation During the Great Migration

      By: Vasiliki Fouka, Soumyajit Mazumder and Marco Tabellini
      How does the arrival of a new minority group affect the social acceptance and outcomes of existing minorities? We study this question in the context of the First Great Migration. Between 1915 and 1930, 1.5 million African Americans moved from the U.S. South to Northern... View Details
      Keywords: Assimilation; Great Migration; Group Identity; Immigration; Race; History; United States
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      Fouka, Vasiliki, Soumyajit Mazumder, and Marco Tabellini. "From Immigrants to Americans: Race and Assimilation During the Great Migration." Review of Economic Studies 89, no. 2 (March 2022): 811–842. (Also appears in VoxEU, The New York Times, Broadstreet, the Skepticast, and Oxford University Press Blog.)
      • 2022
      • Working Paper

      Markups to Financial Intermediation in Foreign Exchange Markets

      By: Jonathan Wallen
      On average from 2013 to 2020, foreign asset managers in net sold forward 1.1 trillion U.S. dollars. This forward sale of dollars hedges the currency mismatch of foreign investment in U.S. dollar assets. By accommodating this demand, U.S. and European banks earn an... View Details
      Keywords: Foreign Exchange; Financial Intermediation; Arbitrage; Market Power; Regulations; Currency; Assets; Interest Rates; Banking Industry
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      Wallen, Jonathan. "Markups to Financial Intermediation in Foreign Exchange Markets." Working Paper, March 2022.
      • March 2022
      • Article

      Targeting High Ability Entrepreneurs Using Community Information: Mechanism Design in the Field

      By: Reshmaan Hussam, Natalia Rigol and Benjamin N. Roth
      Identifying high-growth microentrepreneurs in low-income countries remains a challenge due to a scarcity of verifiable information. With a cash grant experiment in India we demonstrate that community knowledge can help target high-growth microentrepreneurs; while the... View Details
      Keywords: Microentrepreneurs; Community Information; Field Experiment; Loans; Entrepreneurship; Developing Countries and Economies; Financing and Loans; Information; Mathematical Methods; India
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      Hussam, Reshmaan, Natalia Rigol, and Benjamin N. Roth. "Targeting High Ability Entrepreneurs Using Community Information: Mechanism Design in the Field." American Economic Review 112, no. 3 (March 2022): 861–898.
      (Online Appendix with Corrigendum—Thanks to Isabella Masetto, Diego Ubfal, and The Institute for Replication for identifying a minor coding error in the production of Table 4.)
      • March 2022
      • Article

      Where to Locate COVID-19 Mass Vaccination Facilities?

      By: Dimitris Bertsimas, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li and Alessandro Previero
      The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United States in particular, the new... View Details
      Keywords: Vaccines; COVID-19; Health Care and Treatment; Health Pandemics; Performance Effectiveness; Analytics and Data Science; Mathematical Methods
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      Bertsimas, Dimitris, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li, and Alessandro Previero. "Where to Locate COVID-19 Mass Vaccination Facilities?" Naval Research Logistics Quarterly 69, no. 2 (March 2022): 179–200.
      • 2022
      • Working Paper

      The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

      By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
      As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
      Keywords: AI and Machine Learning; Analytics and Data Science; Mathematical Methods
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      Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.
      • January–February 2022
      • Article

      Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion

      By: Ryan Allen and Prithwiraj Choudhury
      How does a knowledge worker’s level of domain experience affect their algorithm-augmented work performance? We propose and test theoretical predictions that domain experience has countervailing effects on algorithm-augmented performance: on one hand, domain experience... View Details
      Keywords: Automation; Domain Experience; Algorithmic Aversion; Experts; Algorithms; Machine Learning; Future Of Work; Employees; Experience and Expertise; Decision Making; Performance
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      Allen, Ryan, and Prithwiraj Choudhury. "Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion." Organization Science 33, no. 1 (January–February 2022): 149–169. ("Best PhD Student Paper" at SMS conference 2020.)
      • 2022
      • Working Paper

      Hate Crime Increases with Minoritized Group Rank

      By: Marco E. Tabellini
      People are on the move in unprecedented numbers within and between countries. How does demographic change affect local intergroup dynamics? In complement to accounts that emphasize stereotypical features of groups as determinants of their treatment, we propose the... View Details
      Keywords: Prejudice; Minority; Hate Crimes; Reference Dependence; Demographics; Rank and Position; Prejudice and Bias; Crime and Corruption
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      Cikara, Mina, Vasiliki Fouka, and Marco Tabellini. "Hate Crime Increases with Minoritized Group Rank." Harvard Business School Working Paper, No. 21-075, February 2022. (Permanent link here. Forthcoming at Nature Human Behaviour.)
      • 2024
      • Working Paper

      What Triggers National Stock Market Jumps?

      By: Scott R. Baker, Nicholas Bloom, Steven J. Davis and Marco Sammon
      We examine newspapers the day after major stock-market jumps to evaluate the proximate cause, geographic source, and clarity of these events from 1900 in the US, 1930 in the UK and 1980 in 12 other countries. We find four main results. First, the United States plays an... View Details
      Keywords: Uncertainty; Policy Uncertainty; Stock Market; Financial Markets; Volatility; Risk and Uncertainty; Policy; Newspapers
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      Baker, Scott R., Nicholas Bloom, Steven J. Davis, and Marco Sammon. "What Triggers National Stock Market Jumps?" Working Paper, December 2024.
      • January 2022 (Revised January 2024)
      • Case

      ReNew Power: Leading the Energy Transition in India

      By: Gunnar Trumbull and Malini Sen
      Founder-CEO of one of India’s largest clean energy companies, ReNew Power, which develops, builds, and operates utility-scale wind and solar energy projects, has to decide the way forward for the company as the country and the world stand poised at the cusp of an... View Details
      Keywords: Energy Generation; Renewable Energy; Energy Sources; Entrepreneurship; Private Equity; Initial Public Offering; Forecasting and Prediction; Trends; Transformation; Private Ownership; Environmental Sustainability; Energy Industry; India; Asia
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      Trumbull, Gunnar, and Malini Sen. "ReNew Power: Leading the Energy Transition in India." Harvard Business School Case 722-028, January 2022. (Revised January 2024.)
      • January 2022
      • Technical Note

      Introduction to Capital Structure Analytics

      By: Samuel Antill and Ted Berk
      This technical note provides an overview of key analytical approaches that are useful in assessing the appropriateness of a firm’s capital structure and funding plan. This note introduces basic quantitative tools and metrics that are commonly used as inputs to this... View Details
      Keywords: Budgets and Budgeting; Business Plan; Forecasting and Prediction; Borrowing and Debt; Corporate Finance; Capital Structure; Cash Flow; Financial Liquidity; Financial Management; Financing and Loans
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      Antill, Samuel, and Ted Berk. "Introduction to Capital Structure Analytics." Harvard Business School Technical Note 222-061, January 2022.
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