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Publications

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    • All HBS Web  (1,980)
      • Faculty Publications  (253)

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      • 2024
      • Working Paper

      When Insurers Exit: Climate Losses, Fragile Insurers, and Mortgage Markets

      By: Ishita Sen, Pari Sastry and Ana-Maria Tenekedjieva
      This paper studies how homeowners insurance markets respond to growing climate losses and how this impacts mortgage market dynamics. Using Florida as a case study, we show that traditional insurers are exiting high risk areas, and new lower quality insurers are... View Details
      Keywords: Insurance; Natural Disasters; Governing Rules, Regulations, and Reforms; Insurance Industry; Florida
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      Sen, Ishita, Pari Sastry, and Ana-Maria Tenekedjieva. "When Insurers Exit: Climate Losses, Fragile Insurers, and Mortgage Markets." Harvard Business School Working Paper, No. 24-051, February 2024. (Revise & Resubmit, Quarterly Journal of Economics.)
      • January 2024
      • Article

      Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger

      By: Chiara Farronato, Jessica Fong and Andrey Fradkin
      Digital platforms are increasingly the subject of regulatory scrutiny. In comparison to multiple competitors, a single platform may increase consumer welfare if network effects are large or may decrease welfare due to higher prices or reduction in platform variety. We... View Details
      Keywords: Platform Differentiation; Digital Platforms; Network Effects; Measurement and Metrics; Mergers and Acquisitions; Outcome or Result
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      Farronato, Chiara, Jessica Fong, and Andrey Fradkin. "Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger." Management Science 70, no. 1 (January 2024): 464–483.
      • 2023
      • Other Article

      The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications

      By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber
      Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult... View Details
      Keywords: USPTO; Natural Language Processing; Classification; Summarization; Patent Novelty; Patent Trolls; Patent Enforceability; Patents; Innovation and Invention; Intellectual Property; AI and Machine Learning; Analytics and Data Science
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      Suzgun, Mirac, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, and Stuart Shieber. "The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
      • 2022
      • Working Paper

      Why Do Index Funds Have Market Power? Quantifying Frictions in the Index Fund Market

      By: Zach Y. Brown, Mark Egan, Jihye Jeon, Chuqing Jin and Alex A. Wu
      Index funds are one of the most common ways investors access financial markets and are perceived to be a transparent and low-cost alternative to active investment management. Despite these purported virtues of index fund investing and the introduction of new products... View Details
      Keywords: Mutual Funds; Passive Investing; Asset Management; Financial Markets; Investment Funds; Financial Management; Financial Services Industry; United States
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      Brown, Zach Y., Mark Egan, Jihye Jeon, Chuqing Jin, and Alex A. Wu. "Why Do Index Funds Have Market Power? Quantifying Frictions in the Index Fund Market." Harvard Business School Working Paper, No. 24-019, October 2023. (NBER Working Paper Series, No. 31778, October 2023.)
      • 2023
      • Working Paper

      The Political Economy of a 'Miracle Cure': The Case of Nebulized Ibuprofen and Its Diffusion in Argentina

      By: Sebastian Calónico, Rafael Di Tella and Juan Cruz Lopez Del Valle
      We document the diffusion of nebulized ibuprofen in Argentina as a treatment for COVID-19. As the pandemic spread, this clinically unsupported drug reached thousands of patients, even some seriously ill, despite warnings by the regulator and medical societies. Detailed... View Details
      Keywords: COVID-19; Health Care and Treatment; Health Pandemics; Adoption; Behavior; Governing Rules, Regulations, and Reforms; Learning
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      Calónico, Sebastian, Rafael Di Tella, and Juan Cruz Lopez Del Valle. "The Political Economy of a 'Miracle Cure': The Case of Nebulized Ibuprofen and Its Diffusion in Argentina." NBER Working Paper Series, No. 31781, 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.
      • 2023
      • Working Paper

      Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality

      By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
      The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details
      Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement
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      Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
      • 2025
      • Working Paper

      Managing Remote Work Quality: Evidence from Auditing Management Systems Standards

      By: Ashley Palmarozzo, Michael W. Toffel and Melissa Ouellet
      Remote work has become more common, providing operational flexibility and productivity benefits, but questions remain about whether and how it affects work quality. We investigate the quality effects of remote work in a context in which remote work separates workers... View Details
      Keywords: Audit; Auditing; Remote Work; Compliance; Assessment; Environment; Management Systems; Quality Management; Quality Management System; Quality; Operations; Supply Chain Management; Environmental Management; Safety
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      Palmarozzo, Ashley, Michael W. Toffel, and Melissa Ouellet. "Managing Remote Work Quality: Evidence from Auditing Management Systems Standards." Harvard Business School Working Paper, No. 24-002, July 2023. (Revised February 2025.)
      • 2023
      • Working Paper

      The Complexity of Economic Decisions

      By: Xavier Gabaix and Thomas Graeber
      We propose a theory of the complexity of economic decisions. Leveraging a macroeconomic framework of production functions, we conceptualize the mind as a cognitive economy, where a task’s complexity is determined by its composition of cognitive operations. Complexity... View Details
      Keywords: Decisions; Complexity; Perception; Consumer Behavior; Production
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      Gabaix, Xavier, and Thomas Graeber. "The Complexity of Economic Decisions." Harvard Business School Working Paper, No. 24-049, February 2024.
      • May 2, 2023
      • Editorial

      Onboarding NextGens

      By: Christina R. Wing and Rohit K. Gera
      The process of onboarding the next generation into a family business can be both fulfilling and challenging. In many cases, the NextGen feel that they have been a part of the family business for their entire lives, and taking their place within the company feels... View Details
      Keywords: Family Business; Family and Family Relationships; Employees
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      Wing, Christina R., and Rohit K. Gera. "Onboarding NextGens." Family Business Magazine (May 2, 2023).
      • March 2023
      • Article

      Developing Moral Muscle in a Literature-based Business Ethics Course

      By: Inge M. Brokerhof, Sandra J. Sucher, P. Matthijs Bal, Frank Hakemulder, Paul G. W. Jansen and Omar N. Solinger
      Moral subjectivity (e.g., reflexivity, perspective-taking) is a necessary condition for moral development. However, widely used approaches to business ethics education, rooted in conceptualizations of ethical development as objective and quantifiable, often neglect... View Details
      Keywords: Moral Sensibility; Business Education; Growth and Development; Teaching
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      Brokerhof, Inge M., Sandra J. Sucher, P. Matthijs Bal, Frank Hakemulder, Paul G. W. Jansen, and Omar N. Solinger. "Developing Moral Muscle in a Literature-based Business Ethics Course." Academy of Management Learning & Education 22, no. 1 (March 2023): 63–87.
      • May 2023
      • Article

      Incentive Effects of Subjective Allocations of Rewards and Penalties

      By: Wei Cai, Susanna Gallani and Jee-Eun Shin
      We examine the incentive effects of subjectivity in allocating tournament-based rewards and punishments. We use data from a company where reward and punishment decisions are based on a combination of objective metrics and subjective performance assessments. Rankings... View Details
      Keywords: Subjectivity; Tournament-based Incentives; Rewards; Penalties; Expectancy Theory; Employees; Compensation and Benefits; Management; Decisions; Performance; Measurement and Metrics
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      Cai, Wei, Susanna Gallani, and Jee-Eun Shin. "Incentive Effects of Subjective Allocations of Rewards and Penalties." Management Science 69, no. 5 (May 2023): 3121–3139.
      • April 2023
      • Article

      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’." Art. 104707. Research Policy 52, no. 3 (April 2023).
      • 2023
      • Working Paper

      Deep Responsibility and Irresponsibility in the Beauty Industry

      By: Geoffrey Jones
      This working paper employs the concept of deep responsibility to assess the social responsibility of the beauty industry over time. It shows that many of today’s problems with the industry have deep historical roots. Products have carried too many health hazards.... View Details
      Keywords: Corporate Social Responsibility and Impact; Corporate Accountability; Ethics; Beauty and Cosmetics Industry
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      Jones, Geoffrey. "Deep Responsibility and Irresponsibility in the Beauty Industry." Harvard Business School Working Paper, No. 23-058, March 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.
      • 2022
      • Article

      Becoming a Learning Organization While Enhancing Performance: The Case of LEGO

      By: Thomas Borup Kristensen, Henrik Saabye and Amy Edmondson
      Purpose - The purpose of this study is to empirically test how problem-solving lean practices, along with leaders as learning facilitators in an action learning approach, can be transferred from a production context to a knowledge work context for the purpose... View Details
      Keywords: Performance Efficiency; Learning; Organizational Change and Adaptation
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      Kristensen, Thomas Borup, Henrik Saabye, and Amy Edmondson. "Becoming a Learning Organization While Enhancing Performance: The Case of LEGO." International Journal of Operations & Production Management 42, no. 13 (2022): 438–481.
      • December 2022
      • Article

      I Don't 'Recall': The Decision to Delay Innovation Launch to Avoid Costly Product Failure

      By: Byungyeon Kim, Oded Koenigsberg and Elie Ofek
      Innovations embody novel features or cutting-edge components aimed at delivering desired customer benefits. Oftentimes, however, we observe the need to recall new products shortly after their introduction. Indeed, a firm may rush an innovation to market in an attempt... View Details
      Keywords: Innovation Management; Innovation And Strategy; Product Development Strategy; Product Introduction; Quality Control; Product Recalls; Game Theory; Market Timing; Innovation Strategy; Product Launch; Product Development
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      Kim, Byungyeon, Oded Koenigsberg, and Elie Ofek. "I Don't 'Recall': The Decision to Delay Innovation Launch to Avoid Costly Product Failure." Management Science 68, no. 12 (December 2022): 8889–8908.
      • 2022
      • Article

      The Ordinary Concept of a Meaningful Life: The Role of Subjective and Objective Factors in Third-Person Attributions of Meaning

      By: Michael Prinzing, Julian De Freitas and Barbara L. Fredrickson
      The desire for a meaningful life is ubiquitous, yet the ordinary concept of a meaningful life is poorly understood. Across six experiments (total N = 2,539), we investigated whether third-person attributions of meaning depend on the psychological states an agent... View Details
      Keywords: Experimental Philosophy; Folk Theories; Meaning In Life; Moral Psychology; Positive Psychology; Moral Sensibility; Satisfaction
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      Prinzing, Michael, Julian De Freitas, and Barbara L. Fredrickson. "The Ordinary Concept of a Meaningful Life: The Role of Subjective and Objective Factors in Third-Person Attributions of Meaning." Journal of Positive Psychology 17, no. 5 (2022): 639–654.
      • 2022
      • Article

      Data Poisoning Attacks on Off-Policy Evaluation Methods

      By: Elita Lobo, Harvineet Singh, Marek Petrik, Cynthia Rudin and Himabindu Lakkaraju
      Off-policy Evaluation (OPE) methods are a crucial tool for evaluating policies in high-stakes domains such as healthcare, where exploration is often infeasible, unethical, or expensive. However, the extent to which such methods can be trusted under adversarial threats... View Details
      Keywords: Analytics and Data Science; Cybersecurity; Mathematical Methods
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      Lobo, Elita, Harvineet Singh, Marek Petrik, Cynthia Rudin, and Himabindu Lakkaraju. "Data Poisoning Attacks on Off-Policy Evaluation Methods." Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 38th (2022): 1264–1274.
      • July–August 2022
      • Article

      How Do Disadvantaged Groups Seek Information about Public Services? A Randomized Controlled Trial of Communication Technologies

      By: Katerina Linos, Melissa Carlson, Laura Jakli, Nadia Dalma, Isabelle Cohen, Afroditi Veloudaki and Stavros Nikiforos Spyrellis
      Governments and NGOs are switching to phone- and Internet-based communication technologies to reduce costs and broaden access to public services. However, these technological shifts can backfire if they exacerbate administrative burden in high-need communities. We... View Details
      Keywords: Communication Technology; Income
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      Linos, Katerina, Melissa Carlson, Laura Jakli, Nadia Dalma, Isabelle Cohen, Afroditi Veloudaki, and Stavros Nikiforos Spyrellis. "How Do Disadvantaged Groups Seek Information about Public Services? A Randomized Controlled Trial of Communication Technologies." Public Administration Review 82, no. 4 (July–August 2022): 708–720.
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