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      • Faculty Publications  (849)

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      • July 2022
      • Article

      The Developmental Origins and Behavioral Consequences of Attributions for Inequality

      By: Antonya Marie Gonzalez, Lucia Macchia and Ashley V. Whillans
      Attributions, or lay explanations for inequality, have been linked to inequality-relevant behavior. In adults and children, attributing inequality to an individual rather than contextual or structural causes is linked to greater support for economic inequality and less...  View Details
      Keywords: Social Cognition; Inequality; Prosocial Behavior; Parent-child Transmission; Equality and Inequality; Cognition and Thinking; Attitudes; Behavior
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      Gonzalez, Antonya Marie, Lucia Macchia, and Ashley V. Whillans. "The Developmental Origins and Behavioral Consequences of Attributions for Inequality." Journal of Experimental Social Psychology 101 (July 2022).
      • 2022
      • Working Paper

      Conduit Incentives: Eliciting Cooperation from Workers Outside of Managers' Control. Evidence from Hospital Hand Washing

      By: Susanna Gallani
      Can managers use monetary incentives to elicit cooperation from workers they cannot reward for their efforts? I study “conduit incentives,” an innovative incentive design, whereby managers influence bonus-ineligible workers’ effort by offering bonus-eligible employees...  View Details
      Keywords: Organizational Behavior Modification; Peer Monitoring; Persistence Of Performance Improvements; Crowding Out; Implicit Incentives; Compensation; Healthcare; Social Pressure; Image Motivation; Performance; Behavior; Motivation and Incentives; Compensation and Benefits; Governing Rules, Regulations, and Reforms; Organizational Culture; Health Industry
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      Gallani, Susanna. "Conduit Incentives: Eliciting Cooperation from Workers Outside of Managers' Control. Evidence from Hospital Hand Washing." Working Paper, May 2022. (Conditionally Accepted at The Accounting Review.)
      • May 2022
      • Supplement

      Borusan CAT: Monetizing Prediction in the Age of AI (B)

      By: Navid Mojir and Gamze Yucaoglu
      Borusan Cat is an international distributor of Caterpillar heavy machines. In 2021, it had been three years since Ozgur Gunaydin (CEO) and Esra Durgun (Director of Strategy, Digitization, and Innovation) started working on Muneccim, the company’s predictive AI tool....  View Details
      Keywords: AI and Machine Learning; Commercialization; Technology Adoption; Industrial Products Industry; Turkey; Middle East
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      Mojir, Navid, and Gamze Yucaoglu. "Borusan CAT: Monetizing Prediction in the Age of AI (B)." Harvard Business School Supplement 522-045, May 2022.
      • May 2022
      • Supplement

      Maestro Pizza (B): The Competition Awakens

      By: Ramon Casadesus-Masanell and Fares Khrais
      Maestro pizza opened its first store in 2014 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 2014 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 2014 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.
      • April 2022
      • Article

      AI Insurance: How Liability Insurance Can Drive the Responsible Adoption of Artificial Intelligence in Health Care

      By: Ariel Dora Stern, Avi Goldfarb and Timo Minssen
      Despite enthusiasm about the potential to apply artificial intelligence (AI) to medicine and health care delivery, adoption remains tepid, even for the most compelling technologies. In this article, the authors focus on one set of challenges to AI adoption: those...  View Details
      Keywords: Artificial Intelligence; Medicine; Health Care and Treatment; Legal Liability; Insurance; Technology Adoption; AI and Machine Learning
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      Stern, Ariel Dora, Avi Goldfarb, and Timo Minssen. "AI Insurance: How Liability Insurance Can Drive the Responsible Adoption of Artificial Intelligence in Health Care." NEJM Catalyst Innovations in Care Delivery 3, no. 4 (April 2022).
      • 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.
      • April 2022
      • Article

      The Past Is Prologue? Venture-Capital Syndicates' Collaborative Experience and Start-Up Exits

      By: Dan Wang, Emily Cox Pahnke and Rory McDonald
      Past research has produced contradictory insights into how prior collaboration between organizations—their relational embeddedness—impacts collective collaborative performance. We theorize that the effect of relational embeddedness on collaborative success is...  View Details
      Keywords: Inter-organizational Networks; Collaboration; Entrepreneurship; Networks; Organizations; Performance; Venture Capital
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      Wang, Dan, Emily Cox Pahnke, and Rory McDonald. "The Past Is Prologue? Venture-Capital Syndicates' Collaborative Experience and Start-Up Exits." Academy of Management Journal 65, no. 2 (April 2022): 371–402.
      • 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 March 2022)
      • Module Note

      Prediction & Machine Learning

      By: Iavor I. Bojinov, Michael Parzen and Paul J. 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
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      Bojinov, Iavor I., Michael Parzen, and Paul J. Hamilton. "Prediction & Machine Learning." Harvard Business School Module Note 622-101, March 2022. (Revised March 2022.)
      • 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.
      • February 2022
      • Case

      Lilium: Preparing for Takeoff

      By: Navid Mojir, Vincent Dessain, Mette Fuglsang Hjortshoej and Emer Moloney
      Lilium is a German company focused on developing electric vertical takeoff and landing vehicles (eVTOLs) that can be used to offer air taxi services. The company went public in September 2021 through a special purpose acquisition company (SPAC) deal, raising more than...  View Details
      Keywords: SPACs; Business Model; Forecasting and Prediction; Green Technology; Capital Markets; Venture Capital; Initial Public Offering; Rural Scope; Urban Scope; City; Disruptive Innovation; Growth and Development Strategy; Technological Innovation; Demand and Consumers; Market Timing; Industry Growth; Infrastructure; Logistics; Product Design; Product Development; Production; Service Delivery; Service Operations; Strategic Planning; Partners and Partnerships; Risk and Uncertainty; Urban Development; Sustainable Cities; Business Strategy; Competitive Strategy; Competitive Advantage; Air Transportation; Aerospace Industry; Air Transportation Industry; Green Technology Industry; Transportation Industry; Travel Industry; Germany; Munich; Brazil; United States; Florida
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      Mojir, Navid, Vincent Dessain, Mette Fuglsang Hjortshoej, and Emer Moloney. "Lilium: Preparing for Takeoff." Harvard Business School Case 522-084, February 2022.
      • 2022
      • Working Paper

      Gone with the Big Data: Institutional Lender Demand for Private Information

      By: Jung Koo Kang
      I explore whether the value of borrowers’ private information is an important determinant of institutional lender participation in syndicated loans. Institutional lenders have been shown to exploit their access to borrowers’ private information by trading on it in...  View Details
      Keywords: Financial Institutions; Financing and Loans; Information; Data and Data Sets
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      Kang, Jung Koo. "Gone with the Big Data: Institutional Lender Demand for Private Information." Harvard Business School Working Paper, No. 22-053, January 2022. (Revised February 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.)
      • February 2022
      • Teaching Note

      Borusan CAT: Monetizing Prediction in the Age of AI

      By: Navid Mojir
      Teaching Note for HBS Case No. 521-053.  View Details
      Keywords: Monetization Strategy; Artificial Intelligence; Forecasting and Prediction; Applications and Software; Technological Innovation; Marketing; Segmentation; AI and Machine Learning; Construction Industry; Turkey
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      Mojir, Navid. "Borusan CAT: Monetizing Prediction in the Age of AI." Harvard Business School Teaching Note 522-069, February 2022.
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