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      • November 2020
      • Case

      Wilderness Safaris: Responses to the COVID-19 Crisis

      By: James E. Austin, Megan Epler Wood and Herman B. "Dutch" Leonard
      This case is an epilogue to “Wilderness Safaris: Impact Investing and Ecotourism Conservation in Africa” (2-321-020), which ends with the emergence of the pandemic in March 2020. The final discussion area for that case can be “What should Wilderness Safari CEO Keith... View Details
      Keywords: Communities; COVID-19; Ecotourism; Travel; Travel Industry; Conservation Planning; Reopening; Investor Relations; Project Strategy; Governance; Decision Making; Cash; Health Pandemics; Business and Shareholder Relations; Tourism Industry; Africa
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      Austin, James E., Megan Epler Wood, and Herman B. "Dutch" Leonard. "Wilderness Safaris: Responses to the COVID-19 Crisis." Harvard Business School Case 321-077, November 2020.
      • 2020
      • Working Paper

      Hospital Allocation and Racial Disparities in Health Care

      By: Amitabh Chandra, Pragya Kakani and Adam Sacarny
      We develop a simple framework to measure the role of hospital allocation in racial disparities in health care and use it to study Black and white Medicare patients who are treated for heart attacks—a condition where virtually everyone receives care, hospital care is... View Details
      Keywords: Health Care and Treatment; Equality and Inequality; Race; Analysis
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      Chandra, Amitabh, Pragya Kakani, and Adam Sacarny. "Hospital Allocation and Racial Disparities in Health Care." NBER Working Paper Series, No. 28018, November 2020.
      • October 2020
      • Case

      Fiscal Responses to COVID-19

      By: Rawi Abdelal, Rafael Di Tella, Vincent Pons and Galit Goldstein
      For the first half of 2020, the COVID-19 crisis seemed on the verge of spiraling out of control. The business world struggled to figure out what COVID meant for macroeconomics. Extended restrictions limiting human interaction meant an end to normal economic production,... View Details
      Keywords: Fiscal Policy; COVID; COVID-19; Economic Analysis; Economic Downturn; Economic Conditions; Economic Governance; Economic Systems; Economy; Health Pandemics; Finance; Policy; United States; Germany; France; European Union
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      Abdelal, Rawi, Rafael Di Tella, Vincent Pons, and Galit Goldstein. "Fiscal Responses to COVID-19." Harvard Business School Case 721-011, October 2020.
      • October 2020 (Revised June 2021)
      • Case

      Francisco Partners Private Credit Opportunity Fund

      By: Luis M. Viceira, John D. Dionne, Soracha Prathanrasnikorn and Ari Sunshine
      In April 2020, Scott Einsenberg, the Head of Credit at the private equity firm Francisco Partners, is deciding whether to go ahead with extending a private lending agreement to Eventbrite, Inc. (NYSE: EB), a leading global event management and online ticketing... View Details
      Keywords: Private Debt; Private Credit; Industry Evolution; Private Equity; Investment; Analysis
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      Viceira, Luis M., John D. Dionne, Soracha Prathanrasnikorn, and Ari Sunshine. "Francisco Partners Private Credit Opportunity Fund." Harvard Business School Case 221-002, October 2020. (Revised June 2021.)
      • 2021
      • Working Paper

      Accounting for Organizational Employment Impact

      By: David Freiberg, Katie Panella, George Serafeim and T. Robert Zochowski
      Organizations create significant positive and negative impacts through their employment practices. This paper builds on the substantial body of research regarding job quality and impact measurement to present a framework for monetized analysis of employment impact. We... View Details
      Keywords: Impact-Weighted Accounts; IWAI; Employment Impact; Employment; Jobs and Positions; Quality; Measurement and Metrics; Analysis; Framework
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      Freiberg, David, Katie Panella, George Serafeim, and T. Robert Zochowski. "Accounting for Organizational Employment Impact." Harvard Business School Working Paper, No. 21-050, October 2020. (Revised August 2021.)
      • 2020
      • Working Paper

      Fresh Fruit and Vegetable Consumption: The Impact of Access and Value

      By: Retsef Levi, Elisabeth Paulson and Georgia Perakis
      The goal of this paper is to leverage household-level data to improve food-related policies aimed at increasing the consumption of fruits and vegetables (FVs) among low-income households. Currently, several interventions target areas where residents have limited... View Details
      Keywords: Food Deserts; Food Access; Food Policy; Causal Inference; Food; Nutrition; Poverty; Government Administration
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      Levi, Retsef, Elisabeth Paulson, and Georgia Perakis. "Fresh Fruit and Vegetable Consumption: The Impact of Access and Value." MIT Sloan Research Paper, No. 5389-18, October 2020.
      • Fall 2020
      • Article

      Sizing Up Corporate Restructuring in the COVID Crisis

      By: Robin Greenwood, Benjamin Iverson and David Thesmar
      In the wake of the COVID-19 pandemic, the financial and legal system will need to deal with a surge of financial distress in the business sector. Some firms will be able to survive, while others will face bankruptcy and thus need to be liquidated or reorganized. Many... View Details
      Keywords: COVID-19; Health Pandemics; Economy; System Shocks; Financial Crisis; Restructuring
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      Greenwood, Robin, Benjamin Iverson, and David Thesmar. "Sizing Up Corporate Restructuring in the COVID Crisis." Brookings Papers on Economic Activity (Fall 2020). (Also NBER Working Paper, No. 28104.)
      • October 2020
      • Article

      Why Time Poverty Matters for Individuals, Organisations, and Nations

      By: Laura Giurge, Ashley V. Whillans and Colin West
      Over the last two decades, global wealth has risen. Yet, material affluence has not translated into time affluence. Instead, most people today report feeling persistently “time poor”—like they have too many things to do and not enough time to do them. This is critical... View Details
      Keywords: Time Poverty; Health; Well-being; Human Needs; Global Range
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      Giurge, Laura, Ashley V. Whillans, and Colin West. "Why Time Poverty Matters for Individuals, Organisations, and Nations." Nature Human Behaviour 4, no. 10 (October 2020): 993–1003. (Shared Authorship.)
      • September 2020 (Revised July 2022)
      • Technical Note

      Algorithmic Bias in Marketing

      By: Ayelet Israeli and Eva Ascarza
      This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and product—characterizing the marketing... View Details
      Keywords: Algorithmic Data; Race And Ethnicity; Promotion; "Marketing Analytics"; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeting; Targeted Advertising; Pricing Algorithms; Ethical Decision Making; Customer Heterogeneity; Marketing; Race; Ethnicity; Gender; Diversity; Prejudice and Bias; Marketing Communications; Analytics and Data Science; Analysis; Decision Making; Ethics; Customer Relationship Management; E-commerce; Retail Industry; Apparel and Accessories Industry; United States
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      Israeli, Ayelet, and Eva Ascarza. "Algorithmic Bias in Marketing." Harvard Business School Technical Note 521-020, September 2020. (Revised July 2022.)
      • September 2020 (Revised February 2024)
      • Teaching Note

      Artea (A), (B), (C), and (D): Designing Targeting Strategies

      By: Eva Ascarza and Ayelet Israeli
      Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and... View Details
      Keywords: Targeted Advertising; Targeting; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Artea (A), (B), (C), and (D): Designing Targeting Strategies." Harvard Business School Teaching Note 521-041, September 2020. (Revised February 2024.)
      • September 2020 (Revised July 2022)
      • Exercise

      Artea (B): Including Customer-Level Demographic Data

      By: Eva Ascarza and Ayelet Israeli
      This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
      Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)
      • September 2020 (Revised July 2022)
      • Exercise

      Artea (C): Potential Discrimination through Algorithmic Targeting

      By: Eva Ascarza and Ayelet Israeli
      This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
      Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Artea (C): Potential Discrimination through Algorithmic Targeting." Harvard Business School Exercise 521-037, September 2020. (Revised July 2022.)
      • September 2020 (Revised July 2022)
      • Exercise

      Artea (D): Discrimination through Algorithmic Bias in Targeting

      By: Eva Ascarza and Ayelet Israeli
      This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
      Keywords: Targeted Advertising; Discrimination; Algorithmic Data; Bias; Advertising; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Artea (D): Discrimination through Algorithmic Bias in Targeting." Harvard Business School Exercise 521-043, September 2020. (Revised July 2022.)
      • September 2020 (Revised June 2023)
      • Exercise

      Artea: Designing Targeting Strategies

      By: Eva Ascarza and Ayelet Israeli
      This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
      Keywords: Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; "Marketing Analytics"; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analytics; Data Analysis; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Targeting; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Algorithmic Bias; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)
      • September 2020 (Revised June 2023)
      • Supplement

      Spreadsheet Supplement to Artea Teaching Note

      By: Eva Ascarza and Ayelet Israeli
      Spreadsheet Supplement to Artea Teaching Note 521-041. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and... View Details
      Keywords: Targeted Advertising; Algorithmic Data; Bias; Advertising; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Spreadsheet Supplement to Artea Teaching Note." Harvard Business School Spreadsheet Supplement 521-705, September 2020. (Revised June 2023.)
      • 2022
      • Working Paper

      Where the Cloud Rests: The Location Strategies of Data Centers

      By: Shane Greenstein and Tommy Pan Fang
      This study provides an analysis of the entry strategies of third-party data centers in the United States. We examine the market before the pandemic in 2018 and 2019, when supply and demand for data services were geographically stable. We compare with the entry... View Details
      Keywords: Cloud Computing; Location Strategies; Data Centers; Information Infrastructure
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      Greenstein, Shane, and Tommy Pan Fang. "Where the Cloud Rests: The Location Strategies of Data Centers." Harvard Business School Working Paper, No. 21-042, September 2020. (Revised June 2022.)
      • 2020
      • Working Paper

      Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 7 The Value Structure of Technologies, Part 2: Strategy without Numbers

      By: Carliss Y. Baldwin
      Functional analysis as set forth in the last chapter decomposes a technical system into functional components that do things to advance the system’s purpose and the goals of its designers. Functional analysis in turn can be used to construct value structure maps... View Details
      Keywords: Modularity; Value Structure Mapping; Value Capture; Information Technology; Organizations; Strategy; Value Creation
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      Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 7 The Value Structure of Technologies, Part 2: Strategy without Numbers." Harvard Business School Working Paper, No. 21-040, September 2020.
      • 2020
      • Working Paper

      Design and Analysis of Switchback Experiments

      By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
      In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted... View Details
      Keywords: Switchback Experiments; Design; Analysis; Mathematical Methods
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      Bojinov, Iavor I., David Simchi-Levi, and Jinglong Zhao. "Design and Analysis of Switchback Experiments." Harvard Business School Working Paper, No. 21-034, September 2020.
      • 2020
      • Working Paper

      Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 2 Transactions in a Task Network

      By: Carliss Y. Baldwin
      From the 1930s through today, many economists have conceived of large technical systems for the production of goods and services as a series of transactions. This point of view has led eminent economists to assert that transactions are the fundamental unit of analysis... View Details
      Keywords: Modularity; Information Technology; Organizations
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      Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 2 Transactions in a Task Network." Harvard Business School Working Paper, No. 21-030, August 2020.
      • August 2020 (Revised December 2020)
      • Background Note

      A Note on Ethical Analysis

      By: Nien-hê Hsieh
      To engage in ethical analysis is to answer such questions as “What is the right thing to do?” “What does it mean to be a good person?” “How should I live my life?” Ethical analysis, on its own, is often not adequate for doing the right thing or being a good... View Details
      Keywords: Ethics; Framework; Decision Making; Prejudice and Bias
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      Hsieh, Nien-hê. "A Note on Ethical Analysis." Harvard Business School Background Note 321-038, August 2020. (Revised December 2020.)
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