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      • October 2023 (Revised February 2024)
      • Case

      Loris

      By: Shunyuan Zhang, Das Narayandas, Stacy Straaberg and David Lane
      In December 2022, Loris’s executive team considered their go-to-market strategy. Loris was an artificial intelligence (AI) software startup for the customer service industry with two products on the market: 1) Agent Assist which provided customer service agents (CSAs)... View Details
      Keywords: Decisions; Growth and Development Strategy; Product Launch; Product Positioning; Business Strategy; Competitive Strategy; Business Startups; AI and Machine Learning; Applications and Software; Marketing Strategy; Sales; Technology Industry; United States
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      Zhang, Shunyuan, Das Narayandas, Stacy Straaberg, and David Lane. "Loris." Harvard Business School Case 524-010, October 2023. (Revised February 2024.)
      • October 2023 (Revised November 2023)
      • Case

      Recycle & Re-Match: The Future of Soccer Turfs

      By: George Serafeim, Lena Duchene and Carlota Moniz
      By August 2023, Re-Match, an artificial turf waste-to-value company, had operations in Denmark and the Netherlands and had recycled over 160,000 tons of waste and plastic fiber. With recent capital injection from the VC firm Verdane and a dual revenue business model,... View Details
      Keywords: Carbon Emissions; Carbon Abatement; Sustainability; Recycling; Waste Management; Technology; Entrepreneurial Management; Business Growth and Maturation; Business Model; Decisions; Energy Conservation; Investment Return; Profit; Technological Innovation; Patents; Growth and Development Strategy; Market Entry and Exit; Digital Platforms; Wastes and Waste Processing; Business Strategy; Competition; Expansion; Technology Adoption; Sports; Environmental Sustainability; Entrepreneurship; Green Technology Industry; Service Industry; Manufacturing Industry; Rubber Industry; Sports Industry; Denmark; Netherlands; France; United States; Pennsylvania; Europe
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      Serafeim, George, Lena Duchene, and Carlota Moniz. "Recycle & Re-Match: The Future of Soccer Turfs." Harvard Business School Case 124-032, October 2023. (Revised November 2023.)
      • October 2023 (Revised May 2024)
      • Case

      JSW Steel: Balancing Growth While Decarbonizing

      By: Vikram S Gandhi and Radhika Kak
      Sajjan Jindal, Chairman & Managing Director of JSW Steel, India's largest steel producer by market capitalization, was facing a dilemma. Steel demand in India was expected to grow exponentially over the next decade. However, given its traditional reliance on carbon,... View Details
      Keywords: Decisions; Environmental Sustainability; Investment; Governing Rules, Regulations, and Reforms; Growth and Development; Corporate Social Responsibility and Impact; Pollutants; Pollution; Production; Steel Industry; India
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      Gandhi, Vikram S., and Radhika Kak. "JSW Steel: Balancing Growth While Decarbonizing." Harvard Business School Case 824-002, October 2023. (Revised May 2024.)
      • October–December 2023
      • Article

      A Practical Guide to Conversation Research: How to Study What People Say to Each Other

      By: Michael Yeomans, Katelynn Boland, Hanne K. Collins, Nicole Abi-Esber and Alison Wood Brooks
      Conversation—a verbal interaction between two or more people—is a complex, pervasive, and consequential human behavior. Conversations have been studied across many academic disciplines. However, advances in recording and analysis techniques over the last decade have... View Details
      Keywords: Interpersonal Communication; Analytics and Data Science; Research
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      Yeomans, Michael, Katelynn Boland, Hanne K. Collins, Nicole Abi-Esber, and Alison Wood Brooks. "A Practical Guide to Conversation Research: How to Study What People Say to Each Other." Advances in Methods and Practices in Psychological Science 6, no. 4 (October–December 2023).
      • 2023
      • Working Paper

      Are Hospital Quality Indicators Causal?

      By: Amitabh Chandra, Maurice Dalton and Douglas O. Staiger
      Hospitals play a key role in patient outcomes and spending, but efforts to improve their quality are hindered because we do not know whether hospital quality indicators are causal or biased. We evaluate the validity of commonly used quality indicators, such as... View Details
      Keywords: Quality; Health Care and Treatment; Measurement and Metrics; Outcome or Result; Health Industry
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      Chandra, Amitabh, Maurice Dalton, and Douglas O. Staiger. "Are Hospital Quality Indicators Causal?" NBER Working Paper Series, No. 31789, October 2023.
      • 2023
      • Working Paper

      Black-box Training Data Identification in GANs via Detector Networks

      By: Lukman Olagoke, Salil Vadhan and Seth Neel
      Since their inception Generative Adversarial Networks (GANs) have been popular generative models across images, audio, video, and tabular data. In this paper we study whether given access to a trained GAN, as well as fresh samples from the underlying distribution, if... View Details
      Keywords: Cybersecurity; Copyright; AI and Machine Learning; Analytics and Data Science
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      Olagoke, Lukman, Salil Vadhan, and Seth Neel. "Black-box Training Data Identification in GANs via Detector Networks." Working Paper, October 2023.
      • 2025
      • Working Paper

      Bringing Science to Market: Knowledge Foundations, Inventor-Founders, and Performance

      By: Justine Boudou and Maria Roche
      In this paper, we examine how a startup’s knowledge foundations—embedded in its core technology—influence its performance in the exit market. Using a dataset of 1,006 biomedicine startups founded between 2005 and 2015, we focus on two key factors: (1) the degree of... View Details
      Keywords: Firm Performance; Knowledge Foundations; Exits; Academic Startups; Inventor-founder; Specialized Scientific Knowledge; Competitive Advantage; Value Creation; Research; Information Publishing; Business Startups; Entrepreneurship
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      Boudou, Justine, and Maria Roche. "Bringing Science to Market: Knowledge Foundations, Inventor-Founders, and Performance." Harvard Business School Working Paper, No. 24-021, October 2023. (Revised February 2025.)
      • October 2023
      • Article

      Coordination and Bandwagon Effects: How Past Rankings Shape the Behavior of Voters and Candidates

      By: Riako Granzier, Vincent Pons and Clémence Tricaud
      Candidates’ placements in polls or past elections can be powerful coordination devices for both parties and voters. Using a regression discontinuity design in French elections, we show that candidates who place first by only a small margin in the first round are more... View Details
      Keywords: Strategic Voting; Coordination; Bandwagon Effect; Regression Discontinuity Design; French Elections; Voting; Political Elections; Behavior; France
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      Granzier, Riako, Vincent Pons, and Clémence Tricaud. "Coordination and Bandwagon Effects: How Past Rankings Shape the Behavior of Voters and Candidates." American Economic Journal: Applied Economics 15, no. 4 (October 2023): 177–217.
      • October 2023
      • Article

      Health System Perspective on Cost for Delivering a Decision Aid for Prostate Cancer Using Time-Driven Activity-Based Costing

      By: David R. Ho, Robert S. Kaplan, Jonathan Bergman, David F. Penson, Benjamin Waterman, Kristin C. Williams, Jefersson Villatoro, Lorna Kwan and Christopher S. Saigal
      Previsit decision aids (DAs) have been shown to improve decisional quality. But the cost to deploy a DA has not been previously estimated. We interviewed or observed relevant personnel at three institutions that had implemented DA programs for men with prostate cancer.... View Details
      Keywords: Time-Driven Activity-Based Costing; Health Care and Treatment; Cost Accounting; Health Industry
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      Ho, David R., Robert S. Kaplan, Jonathan Bergman, David F. Penson, Benjamin Waterman, Kristin C. Williams, Jefersson Villatoro, Lorna Kwan, and Christopher S. Saigal. "Health System Perspective on Cost for Delivering a Decision Aid for Prostate Cancer Using Time-Driven Activity-Based Costing." Medical Care 61, no. 10 (October 2023): 681–688.
      • 2025
      • Working Paper

      How Do Voters Respond to Cues by Charismatic Leaders? Evidence from Brazil

      By: Paula Rettl
      While elite-cue effects on public opinion are well-documented, questions remain as to when and why voters use elite cues to inform their opinions and behaviors. This study contributes to answer these questions by testing whether voters react to cues by charismatic... View Details
      Keywords: Elites; Public Engagement; Politics; Political Affiliation; Political Campaigns; Political Influence; Political Leadership; Political Economy; Survey Research; COVID-19; COVID-19 Pandemic; COVID; Cognitive Psychology; Cognitive Biases; Political Elections; Voting; Power and Influence; Identity; Behavior; Latin America; Brazil
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      Rettl, Paula. "How Do Voters Respond to Cues by Charismatic Leaders? Evidence from Brazil." Harvard Business School Working Paper, No. 24-022, October 2023. (Revised June 2025.)
      • 2023
      • Working Paper

      How Private Investors Value 'Platformness': An Exploratory Study of Unicorns

      By: David B. Yoffie, Michael A. Cusumano, Annabelle Gawer, Sarah von Bargen and Kwesi Acquay
      This paper explores the premium investors have been willing to pay for private companies (unicorns) that are digital platforms vs. traditional companies. View Details
      Keywords: Platforms And Ecosystems; Digital Platforms; Investment Portfolio
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      Yoffie, David B., Michael A. Cusumano, Annabelle Gawer, Sarah von Bargen, and Kwesi Acquay. "How Private Investors Value 'Platformness': An Exploratory Study of Unicorns." Working Paper, October 2023.
      • October 2023
      • Article

      Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA

      By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
      We study how a regulator can best target inspections. Our case study is a U.S. Occupational Safety and Health Administration (OSHA) program that randomly allocated some inspections. On average, each inspection averted 2.4 serious injuries (9%) over the next five years.... View Details
      Keywords: Safety Regulations; Regulations; Regulatory Enforcement; Machine Learning Models; Safety; Operations; Service Operations; Production; Forecasting and Prediction; Decisions; United States
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      Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA." American Economic Journal: Applied Economics 15, no. 4 (October 2023): 30–67. (Profiled in the Regulatory Review.)
      • 2023
      • Working Paper

      In-Context Unlearning: Language Models as Few Shot Unlearners

      By: Martin Pawelczyk, Seth Neel and Himabindu Lakkaraju
      Machine unlearning, the study of efficiently removing the impact of specific training points on the trained model, has garnered increased attention of late, driven by the need to comply with privacy regulations like the Right to be Forgotten. Although unlearning is... View Details
      Keywords: AI and Machine Learning; Copyright; Information
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      Pawelczyk, Martin, Seth Neel, and Himabindu Lakkaraju. "In-Context Unlearning: Language Models as Few Shot Unlearners." Working Paper, October 2023.
      • October 2023
      • Article

      Matching Mechanisms for Refugee Resettlement

      By: David Delacrétaz, Scott Duke Kominers and Alexander Teytelboym
      Current refugee resettlement processes account for neither the preferences of refugees nor the priorities of hosting communities. We introduce a new framework for matching with multidimensional knapsack constraints that captures the (possibly multidimensional) sizes of... View Details
      Keywords: Refugee Resettlement; Matching; Matching Markets; Matching Platform; Matching With Contracts; Algorithms; Refugees; Market Design
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      Delacrétaz, David, Scott Duke Kominers, and Alexander Teytelboym. "Matching Mechanisms for Refugee Resettlement." American Economic Review 113, no. 10 (October 2023): 2689–2717.
      • 2023
      • Book

      Move Fast and Fix Things: The Trusted Leader's Guide to Solving Hard Problems

      By: Frances X. Frei and Anne Morriss
      Speed has gotten a bad name in business, much of it deserved. When Facebook made "Move fast and break things" an informal company motto, it fueled a widely held belief that we can either make progress or take care of people, one or the other. That a certain amount of... View Details
      Keywords: Leading Change; Performance Improvement; Problems and Challenges; Organizational Change and Adaptation; Organizational Culture
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      Frei, Frances X., and Anne Morriss. Move Fast and Fix Things: The Trusted Leader's Guide to Solving Hard Problems. Harvard Business Review Press, 2023.
      • 2023
      • Working Paper

      No Revenge for Nerds? Evaluating the Careers of Ivy League Athletes

      By: Natee Amornsiripanitch, Paul A. Gompers, George Hu, Will Levinson and Vladimir Mukharlyamov
      This paper compares the careers of Ivy League athletes to those of their non-athlete classmates. Combining team-level information on all Ivy League athletes from 1970 to 2021 with resume data for all Ivy League graduates, we examine both post-graduate education and... View Details
      Keywords: Outcome or Result; Higher Education; Personal Development and Career; Human Capital
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      Amornsiripanitch, Natee, Paul A. Gompers, George Hu, Will Levinson, and Vladimir Mukharlyamov. "No Revenge for Nerds? Evaluating the Careers of Ivy League Athletes." NBER Working Paper Series, No. 31753, October 2023.
      • October 2023
      • Article

      Product Variety, the Cost of Living, and Welfare Across Countries

      By: Alberto Cavallo, Robert C. Feenstra and Robert Inklaar
      We use the structure of the Melitz (2003) model to compute the cost of living and welfare across 47 countries, and compare these to conventional measures of prices and real consumption from the International Comparisons Project (ICP). The cost of living is inferred... View Details
      Keywords: Macroeconomics; Trade
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      Cavallo, Alberto, Robert C. Feenstra, and Robert Inklaar. "Product Variety, the Cost of Living, and Welfare Across Countries." American Economic Journal: Macroeconomics 15, no. 4 (October 2023): 40–66.
      • October 2023
      • Article

      Speedy Activists: Firm Response Time to Sociopolitical Events Influences Consumer Behavior

      By: Jimin Nam, Maya Balakrishnan, Julian De Freitas and Alison Wood Brooks
      Organizations face growing pressure from their consumers and stakeholders to take public stances on sociopolitical issues. However, many are hesitant to do so lest they make missteps, promises they cannot keep, appear inauthentic, or alienate consumers, employees, or... View Details
      Keywords: Brands and Branding; Public Opinion; Social Media; Social Issues
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      Nam, Jimin, Maya Balakrishnan, Julian De Freitas, and Alison Wood Brooks. "Speedy Activists: Firm Response Time to Sociopolitical Events Influences Consumer Behavior." Special Issue on Consumer Insights from Text Analysis edited by Grant Packard, Sarah G. Moore, and Jonah Berger. Journal of Consumer Psychology 33, no. 4 (October 2023): 632–644.
      • 2023
      • Working Paper

      The Customer Journey as a Source of Information

      By: Nicolas Padilla, Eva Ascarza and Oded Netzer
      In the face of heightened data privacy concerns and diminishing third-party data access, firms are placing increased emphasis on first-party data (1PD) for marketing decisions. However, in environments with infrequent purchases, reliance on past purchases 1PD... View Details
      Keywords: Customer Journey; Privacy; Consumer Behavior; Analytics and Data Science; AI and Machine Learning; Customer Focus and Relationships
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      Padilla, Nicolas, Eva Ascarza, and Oded Netzer. "The Customer Journey as a Source of Information." Harvard Business School Working Paper, No. 24-035, October 2023. (Revised October 2023.)
      • 2025
      • Working Paper

      The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling

      By: Caleb Kwon, Antonio Moreno and Ananth Raman
      Problem Definition: Considerable academic and practitioner attention is placed on the value of ex-post interactions (i.e., overrides) in the human-AI interface. In contrast, relatively little attention has been paid to ex-ante human-AI interactions (e.g., the... View Details
      Keywords: AI and Machine Learning; Employees; Performance Effectiveness
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      Kwon, Caleb, Antonio Moreno, and Ananth Raman. "The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling." Working Paper, January 2025.
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