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      • Faculty Publications  (462)

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      • September 2021
      • Case

      Francoise Brougher (A)

      By: Edward H. Chang, Nour Kteily and Kathleen McGinn
      Francoise Brougher was a high-powered technology executive in Silicon Valley. After successful stints at Google (where she rose to lead a $16 billion ad sales business) and Square (which she helped take public), she joined Pinterest as its first Chief Operating Officer... View Details
      Keywords: Gender Discrimination; Personal Development and Career; Gender; Prejudice and Bias; Resignation and Termination; Negotiation
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      Chang, Edward H., Nour Kteily, and Kathleen McGinn. "Francoise Brougher (A)." Harvard Business School Case 922-016, September 2021.
      • September 2021
      • Case

      Worldreader: Helping Readers Build a Better World

      By: Marco Bertini, Elie Ofek and Julia Kelley
      Founded in 2010, Worldreader was an international nonprofit organization that promoted reading to children around the world. For many years, Worldreader distributed e-readers to under-resourced communities and funded its operations primarily through philanthropic... View Details
      Keywords: Subscription Model; Price; Financial Strategy; Education; Early Childhood Education; Learning; Geography; Geographic Scope; Global Range; Goals and Objectives; Marketing; Marketing Strategy; Markets; Organizations; Mission and Purpose; Social Enterprise; Non-Governmental Organizations; Nonprofit Organizations; Society; Social Issues; Strategy; Commercialization; Expansion; Segmentation; Education Industry; Africa; Asia; Latin America; Europe; North and Central America; South America
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      Bertini, Marco, Elie Ofek, and Julia Kelley. "Worldreader: Helping Readers Build a Better World." Harvard Business School Case 522-003, September 2021.
      • Article

      A Cost Comparison of Cataract Surgeries in Three Countries—United States, India, and Nepal

      By: Jiayin Xue, John Hinkle, Mary-Grace Reeves, Luo Luo Zheng, Vengadesan Natarajan, Shyam Vyas, Radhika Upreti Oli, Matt Oliva, Robert S. Kaplan, Arnold Milstein, Geoff Tabin, Jeffrey L. Goldberg and Kevin Schulman
      U.S.-based cataract surgeries are costly compared with those performed in high-quality Indian and Nepalese eye centers. The authors used time-driven activity-based costing to evaluate phacoemulsification surgery across four sites: a U.S.-based academic hospital... View Details
      Keywords: Time-Driven Activity-Based Costing; Cost Accounting; Health Care and Treatment; Health Industry; India; Nepal; United States
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      Xue, Jiayin, John Hinkle, Mary-Grace Reeves, Luo Luo Zheng, Vengadesan Natarajan, Shyam Vyas, Radhika Upreti Oli, Matt Oliva, Robert S. Kaplan, Arnold Milstein, Geoff Tabin, Jeffrey L. Goldberg, and Kevin Schulman. "A Cost Comparison of Cataract Surgeries in Three Countries—United States, India, and Nepal." NEJM Catalyst Innovations in Care Delivery 2, no. 9 (September 2021).
      • July 2021 (Revised October 2022)
      • Background Note

      Product Line Extensions: Optimal or Overdone?

      By: Robert J. Dolan
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      Dolan, Robert J. "Product Line Extensions: Optimal or Overdone?" Harvard Business School Background Note 522-014, July 2021. (Revised October 2022.)
      • July 2021 (Revised December 2021)
      • Case

      Pershing Square's Pandemic Trade (A)

      By: Emil N. Siriwardane, Luis M. Viceira, Dean Xu and Lucas Baker
      This case explores the decision that Bill Ackman, CEO and founder of the hedge fund Pershing Square Capital, was considering in late February 2020 about hedging the exposure of the fund’s portfolio from the potential financial fallout ensuing from an extreme event like... View Details
      Keywords: Health Pandemics; Financial Liquidity; Cost Management; Decision Choices and Conditions; Risk Management
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      Siriwardane, Emil N., Luis M. Viceira, Dean Xu, and Lucas Baker. "Pershing Square's Pandemic Trade (A)." Harvard Business School Case 222-007, July 2021. (Revised December 2021.)
      • July 2021
      • Article

      Redistribution through Markets

      By: Piotr Dworczak, Scott Duke Kominers and Mohammad Akbarpour
      Policymakers frequently use price regulations as a response to inequality in the markets they control. In this paper, we examine the optimal structure of such policies from the perspective of mechanism design. We study a buyer-seller market in which agents have private... View Details
      Keywords: Optimal Mechanism Design; Redistribution; Inequality; Welfare Theorems; Market Design; Equality and Inequality
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      Dworczak, Piotr, Scott Duke Kominers, and Mohammad Akbarpour. "Redistribution through Markets." Econometrica 89, no. 4 (July 2021): 1665–1698. (Authors' names are in certified random order.)
      • 2021
      • Article

      Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation

      By: Benjamin B. Lockwood, Afras Sial and Matthew C. Weinzierl
      Economists typically check the robustness of their results by comparing them across plausible ranges of parameter values and model structures. A preferable approach to robustness—for the purposes of policymaking and evaluation—is to design policy that takes these... View Details
      Keywords: Optimal Taxation; Income Tax; Social Welfare; Elasticity; Income; Taxation; Policy
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      Lockwood, Benjamin B., Afras Sial, and Matthew C. Weinzierl. "Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation." Tax Policy and the Economy 35 (2021).
      • 2021
      • Article

      To Thine Own Self Be True? Incentive Problems in Personalized Law

      By: Jordan M. Barry, John William Hatfield and Scott Duke Kominers
      Recent years have seen an explosion of scholarship on “personalized law.” Commentators foresee a world in which regulators armed with big data and machine learning techniques determine the optimal legal rule for every regulated party, then instantaneously disseminate... View Details
      Keywords: Personalized Law; Regulation; Regulatory Avoidance; Regulatory Arbitrage; Law And Economics; Law And Technology; Law And Artificial Intelligence; Futurism; Moral Hazard; Elicitation; Signaling; Privacy; Law; Governing Rules, Regulations, and Reforms; Information Technology; AI and Machine Learning
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      Barry, Jordan M., John William Hatfield, and Scott Duke Kominers. "To Thine Own Self Be True? Incentive Problems in Personalized Law." Art. 2. William & Mary Law Review 62, no. 3 (2021).
      • May 2021
      • Article

      Preparing for a Pandemic: Accelerating Vaccine Availability

      By: Amrita Ahuja, Susan Athey, Arthur Baker, Eric Budish, Juan Camilo Castillo, Rachel Glennerster, Scott Duke Kominers, Michael Kremer, Jean Lee, Canice Prendergast, Christopher M. Snyder, Alex Tabarrok, Brandon Joel Tan and Witold Wiecek
      Vaccinating the world’s population quickly in a pandemic has enormous health and economic benefits. We analyze the problem faced by governments in determining the scale and structure of procurement for vaccines. We analyze alternative approaches to procurement, arguing... View Details
      Keywords: Vaccines; Procurement; Health Pandemics; Health Care and Treatment; Acquisition; Cooperation
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      Ahuja, Amrita, Susan Athey, Arthur Baker, Eric Budish, Juan Camilo Castillo, Rachel Glennerster, Scott Duke Kominers, Michael Kremer, Jean Lee, Canice Prendergast, Christopher M. Snyder, Alex Tabarrok, Brandon Joel Tan, and Witold Wiecek. "Preparing for a Pandemic: Accelerating Vaccine Availability." AEA Papers and Proceedings 111 (May 2021): 331–335.
      • 2021
      • Article

      Fair Influence Maximization: A Welfare Optimization Approach

      By: Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice and Milind Tambe
      Several behavioral, social, and public health interventions, such as suicide/HIV prevention or community preparedness against natural disasters, leverage social network information to maximize outreach. Algorithmic influence maximization techniques have been proposed... View Details
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      Rahmattalabi, Aida, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice, and Milind Tambe. "Fair Influence Maximization: A Welfare Optimization Approach." Proceedings of the AAAI Conference on Artificial Intelligence 35th (2021).
      • Article

      Look 'Outside the Building' for the Future of Leadership

      By: Rosabeth M. Kanter
      The author discusses what she terms “outside the building” issues, such as climate change, pandemics, and racial/gender justice. These complex issues are “beyond the boundaries of single organizations.” As she writes, “I call this new leadership for the future... View Details
      Keywords: Change Leadership; Advanced Leadership; Innovation; Complex Systems; Impact; Leadership; Change; Leading Change; Innovation Leadership
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      Kanter, Rosabeth M. "Look 'Outside the Building' for the Future of Leadership." Leader to Leader 100 (Spring 2021): 31–34.
      • March 2021 (Revised June 2021)
      • Case

      Scale and Scope at Drake Real Estate Partners

      By: Christina R. Wing and David Lane
      Realizing in early 2021 that their pending real estate investment fund would likely be oversubscribed, Drake Real Estate Partners co-founders Nicolás Ibáñez and David Cotterman were considering how best to continue to diversify their investor base and how to optimize... View Details
      Keywords: Business Growth and Maturation; Family Business; Investment; Ownership; Value Creation; Financial Services Industry; Real Estate Industry; United States; Latin America; Chile
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      Wing, Christina R., and David Lane. "Scale and Scope at Drake Real Estate Partners." Harvard Business School Case 621-065, March 2021. (Revised June 2021.)
      • March 2021
      • Article

      Assortment Rotation and the Value of Concealment

      By: Kris J. Ferreira and Joel Goh
      Assortment rotation—the retailing practice of changing the assortment of products offered to customers—has recently been used as a competitive advantage for both brick-and-mortar and online retailers. We focus on product categories where consumers may purchase multiple... View Details
      Keywords: Assortment Optimization; Retailing; Imperfect Information; Sales; Strategy; Consumer Behavior
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      Ferreira, Kris J., and Joel Goh. "Assortment Rotation and the Value of Concealment." Management Science 67, no. 3 (March 2021): 1489–1507.
      • Mar 2021
      • Conference Presentation

      Descent-to-Delete: Gradient-Based Methods for Machine Unlearning

      By: Seth Neel, Aaron Leon Roth and Saeed Sharifi-Malvajerdi
      We study the data deletion problem for convex models. By leveraging techniques from convex optimization and reservoir sampling, we give the first data deletion algorithms that are able to handle an arbitrarily long sequence of adversarial updates while promising both... View Details
      Keywords: Machine Learning; Unlearning Algorithm; Mathematical Methods
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      Neel, Seth, Aaron Leon Roth, and Saeed Sharifi-Malvajerdi. "Descent-to-Delete: Gradient-Based Methods for Machine Unlearning." Paper presented at the 32nd Algorithmic Learning Theory Conference, March 2021.
      • 2021
      • Working Paper

      First Law of Motion: Influencer Video Advertising on TikTok

      By: Jeremy Yang, Juanjuan Zhang and Yuhan Zhang
      This paper engineers an intuitive feature that is predictive of the causal effect of influencer video advertising on product sales. We propose the concept of m-score, a summary statistic that captures the extent to which a product is advertised in the most engaging... View Details
      Keywords: Influencer Advertising; Video Advertising; Computer Vision; Machine Learning; Advertising; Online Technology
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      Yang, Jeremy, Juanjuan Zhang, and Yuhan Zhang. "First Law of Motion: Influencer Video Advertising on TikTok." Working Paper, March 2021.
      • February 2021 (Revised February 2021)
      • Background Note

      eGrocery and the Role of Data for CPG Firms

      By: Ayelet Israeli, Fedor (Ted) Lisitsyn and Mark A. Irwin
      This notes provides information about the eGrocery industry and how traditional CPG companies handle this channel and potential data. It is recommended to use together with a series of exercises entitled: "E-Commerce Analytics for CPG Firms (A), (B), and (C)." View Details
      Keywords: Data; Data Analysis; Data Analytics; Data Sharing; CPG; Consumer Packaged Goods (CPG); Delivery Planning; Customer Lifetime Value; Online Channel; Retail; Retail Analytics; Retailing Industry; Ecommerce; Grocery; Optimization; Analytics and Data Science; Analysis; Customer Value and Value Chain; Marketing Channels; E-commerce; Retail Industry; Consumer Products Industry; United States
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      Israeli, Ayelet, Fedor (Ted) Lisitsyn, and Mark A. Irwin. "eGrocery and the Role of Data for CPG Firms." Harvard Business School Background Note 521-077, February 2021. (Revised February 2021.)
      • February 2021
      • Article

      Health Care Measurements That Improve Patient Outcomes

      By: Robert S. Kaplan, Lara Jehi, Clifford Y. Ko, Andrea Pusic and Mary Witkowski
      This article describes the challenges and solutions in determining whether a patient’s treatment has been successful. Such an assessment depends on multiple factors, including the patient’s pretreatment status; the qualifications of personnel performing the treatment;... View Details
      Keywords: Outcomes Measurement; Health Care and Treatment; Outcome or Result; Measurement and Metrics
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      Kaplan, Robert S., Lara Jehi, Clifford Y. Ko, Andrea Pusic, and Mary Witkowski. "Health Care Measurements That Improve Patient Outcomes." NEJM Catalyst Innovations in Care Delivery 2, no. 2 (February 2021).
      • January 2021
      • Supplement

      E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer

      By: Ayelet Israeli and Fedor (Ted) Lisitsyn
      The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details
      Keywords: Data Analysis; Data Analytics; CPG; Consumer Packaged Goods (CPG); Online Channel; Retail; Retail Analytics; Retailing Industry; Data; Data Sharing; Ecommerce; Assortment Optimization; Assortment Planning; Analytics and Data Science; Retention; Retail Industry; Consumer Products Industry; United States
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      Israeli, Ayelet, and Fedor (Ted) Lisitsyn. "E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer." Harvard Business School Spreadsheet Supplement 521-713, January 2021.
      • January 2021
      • Exercise

      E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer

      By: Ayelet Israeli and Fedor (Ted) Lisitsyn
      The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details
      Keywords: Data Analysis; Data Analytics; CPG; Consumer Packaged Goods (CPG); Online Channel; Retail Analytics; Retail; Retailing Industry; Data; Data Sharing; Ecommerce; CRM; Loyalty Management; Assortment Planning; Assortment Optimization; Lifetime Value (LTV); Analytics and Data Science; Analysis; Retention; E-commerce; Retail Industry; Consumer Products Industry; United States
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      Israeli, Ayelet, and Fedor (Ted) Lisitsyn. "E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer." Harvard Business School Exercise 521-079, January 2021.
      • June 2021
      • Article

      From Predictions to Prescriptions: A Data-driven Response to COVID-19

      By: Dimitris Bertsimas, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg and Cynthia Zeng
      The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to slow the disease, at... View Details
      Keywords: COVID-19; Health Pandemics; AI and Machine Learning; Forecasting and Prediction; Analytics and Data Science
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      Bertsimas, Dimitris, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg, and Cynthia Zeng. "From Predictions to Prescriptions: A Data-driven Response to COVID-19." Health Care Management Science 24, no. 2 (June 2021): 253–272.
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