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      • March 2023 (Revised June 2023)
      • Case

      Metaverse Wars

      By: Andy Wu, David B. Yoffie and Matt Higgins
      In 2023, the term metaverse — a combination of “meta” and “universe” — had become a catch-all for a diverse set of expectations about online virtual worlds and the future of the internet. To some, the metaverse conjured images of a massive participatory videogame... View Details
      Keywords: Metaverse; Technology; Virtual Reality; Facebook; Social Media; Technological Innovation; Internet and the Web; Technology Adoption
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      Wu, Andy, David B. Yoffie, and Matt Higgins. "Metaverse Wars." Harvard Business School Case 723-431, March 2023. (Revised June 2023.)
      • March 2023
      • Case

      Azenta Life Sciences: The Road to Transformation

      By: Gary P. Pisano and Catherine Piner
      When the Board brought Steve Schwartz in as President of Brooks Automation in 2010, they gave him a clear mission: strengthen the company’s core semiconductor equipment business and find a new industry to enter. Over the course of the next decade, Schwartz and the... View Details
      Keywords: Transformation; Business and Shareholder Relations; Market Entry and Exit; Organizational Change and Adaptation; Segmentation; Technology Industry
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      Pisano, Gary P., and Catherine Piner. "Azenta Life Sciences: The Road to Transformation." Harvard Business School Case 623-066, March 2023.
      • March 2023 (Revised May 2025)
      • Case

      On (A)

      By: Ramon Casadesus-Masanell, Karolin Frankenberger and Sascha Mader
      Founded in 2010, in just one decade, the Swiss company On had established itself as a main player in global sports footwear and apparel. Based on an unconventional strategy which one of the founders labeled as “obsessively distinct,” On grew its sales with a compound... View Details
      Keywords: Brands and Branding; Business Growth and Maturation; Business Model; Business Startups; Business Strategy; Competitive Advantage; Competitive Strategy; Corporate Strategy; Customer Focus and Relationships; Customer Satisfaction; Digital Marketing; Disruptive Innovation; Distribution Channels; Entrepreneurship; Environmental Sustainability; Global Strategy; Initial Public Offering; Innovation and Invention; Innovation Strategy; Market Entry and Exit; Marketing Strategy; Product Design; Product Development; Product Marketing; Social Media; Strategy; Supply Chain Management; Technological Innovation; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; Europe; Switzerland; Germany; United States
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      Casadesus-Masanell, Ramon, Karolin Frankenberger, and Sascha Mader. "On (A)." Harvard Business School Case 723-430, March 2023. (Revised May 2025.)
      • March, 2023
      • Article

      Academic Entrepreneurship: Entrepreneurial Advisors and Their Advisees' Outcomes

      By: Maria P. Roche
      The transfer of complex knowledge and skills is difficult, often requiring intensive interaction and extensive periods of co-working between a mentor and mentee, which is particularly true in apprenticeship-like settings and on-the-job training. This paper studies a... View Details
      Keywords: Entrepreneurship; Higher Education; Training; Personal Development and Career; Knowledge Dissemination
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      Roche, Maria P. "Academic Entrepreneurship: Entrepreneurial Advisors and Their Advisees' Outcomes." Organization Science 34, no. 2 (March, 2023): 959–986.
      • March–April 2023
      • Article

      Market Segmentation Trees

      By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
      Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market... View Details
      Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing
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      Aouad, Ali, Adam Elmachtoub, Kris J. Ferreira, and Ryan McNellis. "Market Segmentation Trees." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 648–667.
      • 2023
      • Working Paper

      Distributionally Robust Causal Inference with Observational Data

      By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
      We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details
      Keywords: AI and Machine Learning; Mathematical Methods
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      Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
      • February 2023
      • Article

      Climate Solutions Investments

      By: Alex Cheema-Fox, George Serafeim and Hui (Stacie) Wang
      An increasing number of companies are providing products and services that help reduce carbon emissions in the economy. We develop a methodology to identify those companies and create a sample of publicly listed climate solutions companies allowing us to study their... View Details
      Keywords: Decarbonization; Climate Finance; Climate Impact; Climate Risk; Environment; Sustainability; Carbon Emissions; Electric Vehicles; Energy; Renewables; Climate Change; Corporate Social Responsibility and Impact; Environmental Sustainability; Emerging Markets; Investment Portfolio
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      Cheema-Fox, Alex, George Serafeim, and Hui (Stacie) Wang. "Climate Solutions Investments." Journal of Portfolio Management 49, no. 3 (February 2023): 72–96.
      • January–February 2023
      • Article

      Forecasting COVID-19 and Analyzing the Effect of Government Interventions

      By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
      We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more... View Details
      Keywords: COVID-19 Pandemic; Epidemics; Analytics and Data Science; Health Pandemics; AI and Machine Learning; Forecasting and Prediction
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      Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. "Forecasting COVID-19 and Analyzing the Effect of Government Interventions." Operations Research 71, no. 1 (January–February 2023): 184–201.
      • January 28, 2023
      • Article

      Will We Blame Self-Driving Cars? A New Study Finds That People Are Likely to Hold Autonomous Vehicles Liable for Accidents Even When They’re Not at Fault

      By: Julian De Freitas
      Keywords: Technological Innovation; Legal Liability; Trust; Perception; Auto Industry
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      De Freitas, Julian. "Will We Blame Self-Driving Cars? A New Study Finds That People Are Likely to Hold Autonomous Vehicles Liable for Accidents Even When They’re Not at Fault." Wall Street Journal (January 28, 2023), C5.
      • 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
      • Case

      Crow Holdings Development: Mass Timber Construction

      By: John D. Macomber, Robert Hernandez and Kyle MertensMeyer
      Jim McCaffery and Cody Armbrister of Crow Holdings Development evaluate the pros and cons of committing to mass timber construction instead of conventional concrete or steel for a new 260,000 SF multi-story office building in Texas. Benefits include substantially... View Details
      Keywords: Real Estate Development; Architecture; Air Quality; Health & Wellness; Office Property; Sustainability; Carbon Abatement; Natural Environment; Environmental Accounting; Green Buildings; Design; Construction; Cost vs Benefits; Environmental Sustainability; Construction Industry; Real Estate Industry; Texas
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      Macomber, John D., Robert Hernandez, and Kyle MertensMeyer. "Crow Holdings Development: Mass Timber Construction." Harvard Business School Case 223-058, January 2023.
      • 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.
      • 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.
      • 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.)
      • December 2022
      • Article

      Competition, Contracts, and Creativity: Evidence from Novel Writing in a Platform Market

      By: Yanhui Wu and Feng Zhu
      A growing number of people today are participating in the gig economy, working as independent contractors on short-term projects. We study the effects of competition on gig workers' effort and creativity on a Chinese novel-writing platform. Authors produce and sell... View Details
      Keywords: Gig Workers; Platform-based Markets; Novel Writing; Creative Production; Platform Bias; Employment; Digital Platforms; Creativity; Books; Competition; Contracts
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      Wu, Yanhui, and Feng Zhu. "Competition, Contracts, and Creativity: Evidence from Novel Writing in a Platform Market." Management Science 68, no. 12 (December 2022): 8613–8634.
      • 2022
      • Article

      OpenXAI: Towards a Transparent Evaluation of Model Explanations

      By: Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik and Himabindu Lakkaraju
      While several types of post hoc explanation methods have been proposed in recent literature, there is very little work on systematically benchmarking these methods. Here, we introduce OpenXAI, a comprehensive and extensible opensource framework for evaluating and... View Details
      Keywords: Measurement and Metrics; Analytics and Data Science
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      Agarwal, Chirag, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, and Himabindu Lakkaraju. "OpenXAI: Towards a Transparent Evaluation of Model Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022).
      • 2022
      • Working Paper

      The Limits of Decentralized Administrative Data Collection: Experimental Evidence from Colombia

      By: Natalia Garbiras-Diaz and Tara Slough
      States collect vast amounts of data for use in policymaking and public administration. To do so, central governments frequently solicit data from decentralized bureaucrats. Because central governments use these data in policymaking, decentralized bureaucrats may face... View Details
      Keywords: Decentralization; Policy-making; Policy/economics; Policy Evaluation; Governance; Government Administration; Government and Politics; Government Legislation; Policy; Public Opinion; Analytics and Data Science; Latin America; South America; Colombia
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      Garbiras-Diaz, Natalia, and Tara Slough. "The Limits of Decentralized Administrative Data Collection: Experimental Evidence from Colombia." Working Paper, December 2022.
      • 2022
      • Article

      The Pricing and Ownership of U.S. Green Bonds

      By: Malcolm Baker, Daniel Bergstresser, George Serafeim and Jeffrey Wurgler
      We study green bonds, which are bonds whose proceeds are used for environmentally sensitive purposes. After an overview of the U.S. corporate and municipal green bonds markets, we study pricing and ownership patterns using a simple framework that incorporates assets... View Details
      Keywords: Green Bond; Pricing; Climate Finance; ESG; SRI; Sustainable; Municipal; Bonds; Environmental Sustainability; Financial Markets; Price; Ownership; United States
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      Baker, Malcolm, Daniel Bergstresser, George Serafeim, and Jeffrey Wurgler. "The Pricing and Ownership of U.S. Green Bonds." Annual Review of Financial Economics 14 (2022): 415–437.
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