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      • 2023
      • Working Paper

      Leadership and the Value of Persistence

      By: James J. Anton, Alan Jaske and Dennis Yao
      Consider a leader’s decision whether to persist with an unsuccessful R&D project or to terminate the project in favor of a new project with an uncertain value. How does that decision affect the effort exerted by the manager assigned to the project? To study this... View Details
      Keywords: Persistence; Project Evaluation; R&D Project Management; Projects; Decision Choices and Conditions; Leadership
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      Anton, James J., Alan Jaske, and Dennis Yao. "Leadership and the Value of Persistence." Working Paper, January 2023.
      • 2023
      • Working Paper

      'It Wouldn’t Have Mattered Anyway': When Overdetermined Outcomes Justify Our Sins

      By: Stephanie C. Lin, Julian J. Zlatev and Dale T. Miller
      We identify and document an “overdetermined outcome defense” which occurs when one learns that circumstances besides one’s own actions were sufficient to produce a negative effect (e.g., deciding not to go to the gym, but later discovering that the gym had been... View Details
      Keywords: Moral Sensibility; Decision Making; Outcome or Result; Behavior
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      Lin, Stephanie C., Julian J. Zlatev, and Dale T. Miller. "'It Wouldn’t Have Mattered Anyway': When Overdetermined Outcomes Justify Our Sins." Harvard Business School Working Paper, No. 23-045, January 2023.
      • January 2023
      • Supplement

      Apple: Privacy vs. Safety (B)

      By: Henry McGee, Nien-hê Hsieh and Christian Godwin
      In 2020, as the COVID-19 pandemic swept across the globe, Apple and Google partnered to develop a contact tracing application that would collect information about users infected with the disease and notify those who they had been in contact with. While Apple/Google’s... View Details
      Keywords: Iphone; Encryption; Data Privacy; Customers; Customer Focus and Relationships; Decision Making; Ethics; Values and Beliefs; Globalized Firms and Management; Government and Politics; Health; Health Pandemics; Leadership; Markets; Safety; Social Issues; Information Technology; Telecommunications Industry; Technology Industry; Consumer Products Industry; Electronics Industry; Health Industry; United States; Europe
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      McGee, Henry, Nien-hê Hsieh, and Christian Godwin. "Apple: Privacy vs. Safety (B)." Harvard Business School Supplement 323-066, January 2023.
      • January 2023 (Revised June 2023)
      • Case

      Replika: Embodying AI

      By: Shikhar Ghosh, Shweta Bagai and Marilyn Morgan Westner
      Replika was a virtual AI companion that provided a way for people to process their emotions, build connections in a safe environment, and get through periods of loneliness. The chatbot fulfilled a user's need for a friend, romantic partner, or purely an emotional... View Details
      Keywords: AI; AI and Machine Learning; Applications and Software; Human Needs; California
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      Ghosh, Shikhar, Shweta Bagai, and Marilyn Morgan Westner. "Replika: Embodying AI." Harvard Business School Case 823-090, January 2023. (Revised June 2023.)
      • January 2023 (Revised June 2024)
      • Case

      Elon Musk at Tesla

      By: George Serafeim and Amram Migdal
      This case gives an overview of Elon Musk’s career arc through the lens of the 2003 founding of Tesla and its growth through 2022. Background information is included on Tesla’s unique strategic decisions, its operational and reputational struggles and successes, and the... View Details
      Keywords: Business Ventures; Decision Making; Design; Energy; Renewable Energy; Engineering; Entrepreneurship; Environmental Management; Climate Change; Environmental Sustainability; Green Technology; Values and Beliefs; Governance; Innovation and Invention; Innovation Leadership; Innovation Strategy; Leadership; Leadership Style; Management; Goals and Objectives; Organizations; Mission and Purpose; Society; Social Issues; Strategy; Transportation; Value; Auto Industry; Transportation Industry
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      Serafeim, George, and Amram Migdal. "Elon Musk at Tesla." Harvard Business School Case 123-044, January 2023. (Revised June 2024.)
      • January 2023 (Revised August 2023)
      • Case

      Veeva Systems and the Transformation to a Public Benefit Corporation

      By: Ranjay Gulati and Allison M. Ciechanover
      Peter Gassner, the co-founder and CEO of Veeva Systems, steered the company through rapid scaling from its launch in 2007 to 2022. Year after year, the company had exceeded expectations, with its market capitalization reaching $50 billion at its peak. By 2022, the... View Details
      Keywords: Transformation; Corporate Governance; Corporate Social Responsibility and Impact; Mission and Purpose; Organizational Culture; Information Technology Industry; Information Technology Industry; United States; California
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      Gulati, Ranjay, and Allison M. Ciechanover. "Veeva Systems and the Transformation to a Public Benefit Corporation." Harvard Business School Case 423-045, January 2023. (Revised August 2023.)
      • January 2023 (Revised May 2023)
      • Case

      Steve Jobs: Changing the World

      By: Robert Simons and Shirley Sun
      This case traces the life of Steve Jobs who throughout his career flaunted convention and chose an unusual path to success. The case describes how Jobs, as young man, acquired an appreciation for aesthetics and the liberal arts, but was also quick to recognize and... View Details
      Keywords: Entrepreneurship; Technology; Business Startups; Personal Characteristics; Leadership Style; Innovation; Work-life Balance; Innovation Leadership; Power and Influence; Success; Information Technology Industry; United States
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      Simons, Robert, and Shirley Sun. "Steve Jobs: Changing the World." Harvard Business School Case 123-022, January 2023. (Revised May 2023.)
      • January 2023
      • Case

      Proday: Calling the Right Play

      By: Lindsay N. Hyde, Thomas R. Eisenmann and Tom Quinn
      Sarah Kunst knew the elements of a successful startup from her tenure at venture capital firms. In April 2018, however, her own app – Proday, a home fitness platform featuring exercises filmed by professional sports stars – was floundering. Kunst theorized that... View Details
      Keywords: Social Media; Entrepreneurship; Advertising; Digital Marketing; Product Launch; Social Marketing; Failure; Sports; Applications and Software; Business Startups; Technology Industry; United States
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      Hyde, Lindsay N., Thomas R. Eisenmann, and Tom Quinn. "Proday: Calling the Right Play." Harvard Business School Case 823-005, January 2023.
      • 2023
      • Working Paper

      The Subjective Expected Utility Approach and a Framework for Defining Project Risk in Terms of Novelty and Feasibility—A Response to Franzoni and Stephan (2023), ‘Uncertainty and Risk-Taking in Science’

      By: Jacqueline N. Lane
      In their Discussion Paper, Franzoni and Stephan (F&S, 2023) discuss the shortcomings of existing peer review models in shaping the funding of risky science. Their discussion offers a conceptual framework for incorporating risk into peer review models of research... View Details
      Keywords: Risk and Uncertainty; Research; Resource Allocation; Perception
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      Lane, Jacqueline N. "The Subjective Expected Utility Approach and a Framework for Defining Project Risk in Terms of Novelty and Feasibility—A Response to Franzoni and Stephan (2023), ‘Uncertainty and Risk-Taking in Science’." Harvard Business School Working Paper, No. 23-037, January 2023.
      • January 2023
      • Article

      Calculators for Women: When Identity-Based Appeals Backfire

      By: Tami Kim, Kate Barasz, Michael I. Norton and Leslie K. John
      From “Chick Beer” to “Dryer Sheets for Men,” identity-based labeling is frequently deployed by marketers to appeal to specific target markets. Yet such identity appeals can backfire, alienating the very consumers they aim to attract. We theorize and empirically... View Details
      Keywords: Categorization Threat; Stereotypes; Identity; Labels; Gender; Perception; Consumer Behavior
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      Kim, Tami, Kate Barasz, Michael I. Norton, and Leslie K. John. "Calculators for Women: When Identity-Based Appeals Backfire." Special Issue on Racism and Discrimination in the Marketplace edited by Samantha N. N. Cross and Stephanie Dellande. Journal of the Association for Consumer Research 8, no. 1 (January 2023): 72–82.
      • 8 Sep 2023
      • Conference Presentation

      Chatbots and Mental Health: Insights into the Safety of Generative AI

      By: Julian De Freitas, K. Uguralp, Z. Uguralp and Stefano Puntoni
      Keywords: AI and Machine Learning; Well-being
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      De Freitas, Julian, K. Uguralp, Z. Uguralp, and Stefano Puntoni. "Chatbots and Mental Health: Insights into the Safety of Generative AI." Paper presented at the Business & Generative AI Workshop, Wharton School, AI at Wharton, San Francisco, CA, United States, September 8, 2023.
      • January–February 2023
      • Article

      Data-Driven COVID-19 Vaccine Development for Janssen

      By: Dimitris Bertsimas, Michael Lingzhi Li, Xinggang Liu, Jennings Xu and Najat Khan
      The COVID-19 pandemic has spurred extensive vaccine research worldwide. One crucial part of vaccine development is the phase III clinical trial that assesses the vaccine for safety and efficacy in the prevention of COVID-19. In this work, we enumerate the first... View Details
      Keywords: COVID-19; Health Testing and Trials; Forecasting and Prediction; AI and Machine Learning; Research; Pharmaceutical Industry
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      Bertsimas, Dimitris, Michael Lingzhi Li, Xinggang Liu, Jennings Xu, and Najat Khan. "Data-Driven COVID-19 Vaccine Development for Janssen." INFORMS Journal on Applied Analytics 53, no. 1 (January–February 2023): 70–84.
      • 2023
      • Article

      Evaluating Explainability for Graph Neural Networks

      By: Chirag Agarwal, Owen Queen, Himabindu Lakkaraju and Marinka Zitnik
      As explanations are increasingly used to understand the behavior of graph neural networks (GNNs), evaluating the quality and reliability of GNN explanations is crucial. However, assessing the quality of GNN explanations is challenging as existing graph datasets have no... View Details
      Keywords: Analytics and Data Science
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      Agarwal, Chirag, Owen Queen, Himabindu Lakkaraju, and Marinka Zitnik. "Evaluating Explainability for Graph Neural Networks." Art. 114. Scientific Data 10 (2023).
      • 2023
      • Article

      Experimental Evaluation of Individualized Treatment Rules

      By: Kosuke Imai and Michael Lingzhi Li
      The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details
      Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning
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      Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256.
      • 2023
      • Chapter

      Generalized Matching: Contracts and Networks

      By: John William Hatfield, Ravi Jagadeesan, Scott Duke Kominers, Alexandru Nichifor, Michael Ostrovsky, Alexander Teytelboym and Alexander Westkamp
      Keywords: Matching; Matching With Contracts; Matching Markets; Matching Platform; Market Design; Digital Platforms; Economics; Networks
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      Hatfield, John William, Ravi Jagadeesan, Scott Duke Kominers, Alexandru Nichifor, Michael Ostrovsky, Alexander Teytelboym, and Alexander Westkamp. "Generalized Matching: Contracts and Networks." Chap. 14 in Online and Matching-Based Market Design, edited by Federico Echenique, Nicole Immorlica, and Vijay Vazirani, 303–322. Cambridge University Press, 2023.
      • December 2022 (Revised January 2025)
      • Case

      Akooda: Charging Toward Operational Intelligence

      By: Christopher Stanton and Mel Martin
      The Akooda case describes the challenges confronting founder and CEO Yuval Gonczarowski (MBA ‘17) in 2022 as he attempts to boost sales. Launched in November 2020, Akooda was an AI company that mined 20 different sources of digital data, from tools like Slack, Google... View Details
      Keywords: Data Mining; Productivity; Monitoring; Data Analysis; AI and Machine Learning; Knowledge Management; Operations; Problems and Challenges; Employee Relationship Management; Information Technology Industry; Information Technology Industry; Information Technology Industry; Boston; Israel
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      Stanton, Christopher, and Mel Martin. "Akooda: Charging Toward Operational Intelligence." Harvard Business School Case 823-018, December 2022. (Revised January 2025.)
      • December 2022
      • Case

      Taylor Farms: Adding Value to Fresh Produce

      By: José B. Alvarez, Forest L. Reinhardt, Jenyfeer Martinez Buitrago and Pedro Levindo
      In October 2022, Bruce Taylor (HBS MBA, 1981), Chairman and CEO of Taylor Farms, the leading producer of salads and healthy fresh foods in the United States, wondered whether this was the right time for Taylor Farms to venture into the Controlled Environment... View Details
      Keywords: Technology Adoption; Cost vs Benefits; Logistics; Environmental Sustainability; Agriculture and Agribusiness Industry
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      Alvarez, José B., Forest L. Reinhardt, Jenyfeer Martinez Buitrago, and Pedro Levindo. "Taylor Farms: Adding Value to Fresh Produce." Harvard Business School Case 523-041, December 2022.
      • Working Paper

      Diversification as an Adaptive Learning Process: An Empirical Study of General-Purpose and Market-Specific Technological Know-How in New Market Entry

      By: Dominika Kinga Randle and Gary P. Pisano
      An enduring trait of modern corporations is their propensity to diversify into multiple lines of business. Penrosian theories conceptualize diversification as a strategy to exploit a firm’s fungible, yet “untradeable,” resources and point to redeployment of... View Details
      Keywords: Growth and Development Strategy; Technology Adoption; Diversification; Market Entry and Exit; Transformation
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      Randle, Dominika Kinga, and Gary P. Pisano. "Diversification as an Adaptive Learning Process: An Empirical Study of General-Purpose and Market-Specific Technological Know-How in New Market Entry." Harvard Business School Working Paper, No. 23-032, December 2022.
      • December 2022 (Revised February 2023)
      • Case

      Daniel Defense: Responding to the Shooting at the Robb Elementary School in Uvalde, TX

      By: Benjamin C. Esty and Daniel Fisher
      At 11:33am on May 24, 2022, an 18-year-old man from Uvalde, Texas walked into the Robb Elementary School carrying a semi-automatic "AR-15-style” rifle manufactured by Daniel Defense and killed 19 children and two adults. Three days later, Representative Carolyn Maloney... View Details
      Keywords: Gun Violence; Gun Policy; Second Amendment; Legal Liability; Government Legislation; Marketing Strategy; Business or Company Management; Product Marketing; Ethics; Corporate Accountability; Corporate Social Responsibility and Impact; Moral Sensibility; Crime and Corruption; Governing Rules, Regulations, and Reforms; Manufacturing Industry; Advertising Industry; United States
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      Esty, Benjamin C., and Daniel Fisher. "Daniel Defense: Responding to the Shooting at the Robb Elementary School in Uvalde, TX." Harvard Business School Case 323-058, December 2022. (Revised February 2023.)
      • 2023
      • Working Paper

      Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development

      By: Daniel Yue, Paul Hamilton and Iavor Bojinov
      Predictive model development is understudied despite its centrality in modern artificial intelligence and machine learning business applications. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms)... View Details
      Keywords: Analytics and Data Science
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      Yue, Daniel, Paul Hamilton, and Iavor Bojinov. "Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development." Harvard Business School Working Paper, No. 23-029, December 2022. (Revised April 2023.)
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