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    • All HBS Web  (1,114)
      • Faculty Publications  (172)

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      • August 5, 2025
      • Article

      Data-driven Equation Discovery Reveals Nonlinear Reinforcement Learning in Humans

      By: Kyle J. LaFollette, Janni Yuval, Roey Schurr, David Melnikoff and Amit Goldenberg
      Computational models of reinforcement learning (RL) have significantly contributed to our understanding of human behavior and decision-making. Traditional RL models, however, often adopt a linear approach to updating reward expectations, potentially oversimplifying the... View Details
      Keywords: AI and Machine Learning; Behavior; Learning; Motivation and Incentives; Mathematical Methods
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      LaFollette, Kyle J., Janni Yuval, Roey Schurr, David Melnikoff, and Amit Goldenberg. "Data-driven Equation Discovery Reveals Nonlinear Reinforcement Learning in Humans." Proceedings of the National Academy of Sciences 122, no. 31 (August 5, 2025).
      • 2025
      • Article

      Difference-in-Differences Subset Scan

      By: Will Stamey, Sriram Somanchi and Edward McFowland III
      Difference-in-differences (DiD) has been extensively applied in the literature to elicit the average causal effect of an intervention or policy. Though researchers explore heterogeneity in the treatment effect with respect to time or some observed covariate (usually... View Details
      Keywords: Research; Analytics and Data Science
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      Stamey, Will, Sriram Somanchi, and Edward McFowland III. "Difference-in-Differences Subset Scan." Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining 31st (2025): 2656–2667.
      • Article

      Using Gen AI for Early-Stage Market Research

      By: James Brand, Ayelet Israeli and Donald Ngwe
      Generative AI, particularly large language models (LLMs), offers a promising new tool for early-stage market research by simulating customer responses to product concepts. This can allow companies to draw conclusions similar to those they’d obtain by surveying... View Details
      Keywords: Large Language Models; Large Language Model; Generative Ai; Artificial Intelligence; Market Research; Research; Marketing; AI and Machine Learning; Analytics and Data Science; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
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      Brand, James, Ayelet Israeli, and Donald Ngwe. "Using Gen AI for Early-Stage Market Research." Harvard Business Review (website) (July 18, 2025).
      • 2025
      • Working Paper

      Data-driven Technologies and Local Information Advantages in Small Business Lending

      By: Wilbur Chen, Jung Koo Kang and Aditya Mohan
      We investigate whether banks' adoption of data-driven technologies influences competitive dynamics in local small business lending by diminishing the information advantages traditionally held by local banks. Using local newspaper closures as an adverse shock to the... View Details
      Keywords: Data-driven Technologies; Local Information Advantages; Local Banks; Relationship Lending; Small Business Loans; Small Business; Local Range; Financing and Loans; Banks and Banking; Analytics and Data Science; Banking Industry
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      Chen, Wilbur, Jung Koo Kang, and Aditya Mohan. "Data-driven Technologies and Local Information Advantages in Small Business Lending." Harvard Business School Working Paper, No. 25-057, May 2025.
      • April 2025
      • Article

      Transitioning Into Retirement: The Interplay of Self and Life Structure

      By: Marcy Crary, Douglas T. (Tim) Hall, Kathy E. Kram, Teresa M. Amabile and Lotte Bailyn
      This paper explores the psychological, social, and behavioral ways in which professionals end their corporate careers and reorient themselves and their lives in the transition from employment to retirement. Framed within life course theory, specifically the adult... View Details
      Keywords: Retirement; Behavior; Transition; Identity
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      Crary, Marcy, Douglas T. (Tim) Hall, Kathy E. Kram, Teresa M. Amabile, and Lotte Bailyn. "Transitioning Into Retirement: The Interplay of Self and Life Structure." Working, Aging and Retirement 11, no. 2 (April 2025): 175–196.
      • 2025
      • Working Paper

      Private Equity and Workers: Modeling and Measuring Monopsony, Implicit Contracts, and Efficient Reallocation

      By: Kyle Herkenhoff, Josh Lerner, Gordon M. Phillips, Francisca Rebelo and Benjamin Sampson
      We measure the real effects of private equity buyouts on worker outcomes by building a new database that links transactions to matched employer-employee data in the United States. To guide our empirical analysis, we derive testable implications from three theories in... View Details
      Keywords: Monopsony; Market Power; Productivity; Private Equity; Employment; Wages; Employees
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      Herkenhoff, Kyle, Josh Lerner, Gordon M. Phillips, Francisca Rebelo, and Benjamin Sampson. "Private Equity and Workers: Modeling and Measuring Monopsony, Implicit Contracts, and Efficient Reallocation." Harvard Business School Working Paper, No. 25-046, March 2025. (Revised June 2025.)
      • 2025
      • Working Paper

      Transferability MATTRs: Towards Understanding Antecedents of Strategic Licensing

      By: Dafna F. Bearson and Maria P. Roche
      This paper examines the antecedents of firms’ decisions to license intellectual property (IP). We propose a conceptual framework emphasizing two critical factors: (1) transferability, which we define as the ease of moving knowledge embodied in inventions across firm... View Details
      Keywords: Technological Innovation; Innovation Strategy; Intellectual Property; Value Creation
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      Bearson, Dafna F., and Maria P. Roche. "Transferability MATTRs: Towards Understanding Antecedents of Strategic Licensing." Harvard Business School Working Paper, No. 25-042, March 2025.
      • 2025
      • Working Paper

      How to Choose Among Technologies with Learning Curves: Making Better Investment Decisions

      By: Christian Kaps and Arielle Anderer
      Learning curves, the fact that technologies improve as a function of cumulative experience or investment, are desirable-think inexpensive solar panels or higher performing semiconductors. But, for firms that need to pick one technology among several candidates, such as... View Details
      Keywords: Learning Curve; Technology; Innovation; Batteries; Energy Storage; Sequential Decision Making; TELCO; Exploration; Exploitation; Problems and Challenges; Cost vs Benefits; Technology Adoption; Battery Industry
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      Kaps, Christian, and Arielle Anderer. "How to Choose Among Technologies with Learning Curves: Making Better Investment Decisions." Working Paper, March 2025.
      • 2025
      • Working Paper

      Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning

      By: Liangzong Ma, Ta-Wei Huang, Eva Ascarza and Ayelet Israeli
      Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships between customer states, company actions, and long-term value. However, its practical implementation often faces significant challenges.... View Details
      Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science
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      Ma, Liangzong, Ta-Wei Huang, Eva Ascarza, and Ayelet Israeli. "Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning." Harvard Business School Working Paper, No. 25-037, February 2025.
      • February 2025
      • Article

      Sale of Private Equity–Owned Physician Practices and Physician Turnover

      By: Victoria Berquist, Lev Klarnet and Leemore Dafny
      Private equity (PE) ownership of physician practices is increasing, with owners targeting sales, or exits, in 3 to 7 years. Little is known about the association of exit with physician retention and subsequent employment. Using panel data over the period 2014-2020, we... View Details
      Keywords: Private Equity; Retention; Health Industry
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      Berquist, Victoria, Lev Klarnet, and Leemore Dafny. "Sale of Private Equity–Owned Physician Practices and Physician Turnover." JAMA Health Forum 6, no. 2 (February 2025).
      • 2025
      • Working Paper

      Technology Choice, Spillovers, and the Concentration of R&D

      By: Todd A. Lensman
      The direction of innovation shapes both current technologies and future innovation opportunities, as firms acquire expertise and create public knowledge through discovery. But how do firms choose which technologies to develop? Do they ever fail to exploit... View Details
      Keywords: Economic Growth; Innovation Strategy; Research and Development
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      Lensman, Todd A. "Technology Choice, Spillovers, and the Concentration of R&D." Working Paper, January 2025.
      • 2025
      • Working Paper

      Combining Complements: Theory and Evidence from Cancer Treatment Innovation

      By: Rebekah Dix and Todd A. Lensman
      Innovations often combine several components to achieve outcomes greater than the “sum of the parts.” We argue that such combination innovations can introduce an understudied inefficiency—a positive market expansion externality that benefits the owners of the... View Details
      Keywords: Innovation Strategy; Outcome or Result; Collaborative Innovation and Invention; Health Testing and Trials; Health Industry
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      Dix, Rebekah, and Todd A. Lensman. "Combining Complements: Theory and Evidence from Cancer Treatment Innovation." Working Paper, January 2025.
      • 2024
      • Working Paper

      A Gender Backlash: Does Exposure to Female Labor Market Participation Fuel Gender Conservatism?

      By: Paula Rettl, Diane Bolet, Catherine E. De Vries, Simone Cremaschi, Tarik Abou-Chadi and Sergi Pardos-Prado
      The growing participation of women in the labor market has marked a significant societal transformation, coinciding with the rise of gender conservatism and far-right support. We study whether the economic consequences of labor market feminization and gender backlash... View Details
      Keywords: Gender Bias; Gender Equality; Gender Inclusivity; Politics; Political Backlash; Political Culture; Conservatism; Gender; Government and Politics; Equality and Inequality; Prejudice and Bias; Labor
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      Rettl, Paula, Diane Bolet, Catherine E. De Vries, Simone Cremaschi, Tarik Abou-Chadi, and Sergi Pardos-Prado. "A Gender Backlash: Does Exposure to Female Labor Market Participation Fuel Gender Conservatism?" Harvard Business School Working Paper, No. 25-022, November 2024.
      • November–December 2024
      • Article

      Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing

      By: Kirk Bansak and Elisabeth Paulson
      This study proposes two new dynamic assignment algorithms to match refugees and asylum seekers to geographic localities within a host country. The first, currently implemented in a multi-year pilot in Switzerland, seeks to maximize the average predicted employment... View Details
      Keywords: AI and Machine Learning; Refugees; Geographic Location; Employment
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      Bansak, Kirk, and Elisabeth Paulson. "Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing." Operations Research 72, no. 6 (November–December 2024): 2375–2390.
      • November 2024
      • Article

      Perceptions About Monetary Policy

      By: Michael D. Bauer, Carolin Pflueger and Adi Sunderam
      We estimate perceptions about the Federal Reserve’s monetary policy rule from panel data on professional forecasts of interest rates and macroeconomic conditions. The perceived dependence of the federal funds rate on economic conditions varies substantially over time,... View Details
      Keywords: Monetary Policy; Policy; Interest Rates; Perception; Economy; Forecasting and Prediction
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      Bauer, Michael D., Carolin Pflueger, and Adi Sunderam. "Perceptions About Monetary Policy." Quarterly Journal of Economics 139, no. 4 (November 2024): 2227–2278.
      • November 2024
      • Article

      Price Discounts and Cheapflation During the Post-Pandemic Inflation Surge

      By: Alberto Cavallo and Oleksiy Kryvtsov
      We study how within-store price variation changes with inflation, and whether households exploit it to attenuate the inflation burden. We use micro price data for food products sold by 91 large multi-channel retailers in ten countries between 2018 and 2024. Measuring... View Details
      Keywords: Macroeconomics; Inflation and Deflation; Price; Consumer Behavior; Personal Finance; Product Positioning
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      Cavallo, Alberto, and Oleksiy Kryvtsov. "Price Discounts and Cheapflation During the Post-Pandemic Inflation Surge." Journal of Monetary Economics 148 (November 2024).
      • October 2024
      • Background Note

      The Semiconductor Industry

      By: Andy Wu, Steve Blank and Matt Higgins
      The semiconductor industry powers modern technology, from consumer electronics to data centers. This background note explores the layers of the semiconductor inudstry value chain, including Integrated Device Manufacturers (IDMs), fabless companies, and foundries, while... View Details
      Keywords: Strategy; Supply Chain; Product Design; Customer Value and Value Chain; Manufacturing Industry; Technology Industry; Semiconductor Industry; United States; China; Taiwan
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      Wu, Andy, Steve Blank, and Matt Higgins. "The Semiconductor Industry." Harvard Business School Background Note 725-398, October 2024.
      • 2024
      • Working Paper

      The Operational Impact of Customer Location in On-Demand Services

      By: Natalie Epstein, Santiago Gallino and Antonio Moreno
      The rapid growth of on-demand delivery services, particularly in the food and grocery sectors, has driven the expansion of hyperlocal fulfillment centers (FCs). This paper uses data from an on-demand grocery delivery platform in Latin America to assess how customer... View Details
      Keywords: Consumer Behavior; Logistics; Geographic Location; Service Delivery; Quality; Retail Industry; Latin America
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      Epstein, Natalie, Santiago Gallino, and Antonio Moreno. "The Operational Impact of Customer Location in On-Demand Services." Working Paper, September 2024.
      • 2024
      • Working Paper

      Determinants of Top-Down Sabotage

      By: Hashim Zaman and Karim R. Lakhani
      We investigate the conditions that motivate managers to impede the growth of talented subordinates due to fears of future competition for their own positions. Our research expands on existing tournament and contest theory literature that considers peer-to-peer sabotage... View Details
      Keywords: Succession Planning; Organizational Hierarchy; Compensation; Promotions; Tournaments; Talent and Talent Management; Organizational Structure; Employee Relationship Management; Performance Evaluation; Organizational Culture; Management Skills
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      Zaman, Hashim, and Karim R. Lakhani. "Determinants of Top-Down Sabotage." Harvard Business School Working Paper, No. 25-007, August 2024. (Revised December 2024.)
      • 2024
      • Article

      Crucibles, Multiple Sensitive Periods, and Career Progression

      By: Prithwiraj Choudhury, Sunasir Dutta, Hise O. Gibson and Eric Lin
      We study the effects of crucible experiences along multiple sensitive periods on career progression. While prior literature has hinted that individuals can be imprinted during multiple sensitive periods, not just during the early career, there has been scant attention... View Details
      Keywords: Military Service; Personal Development and Career; Transformation; Power and Influence; Learning; Human Capital
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      Choudhury, Prithwiraj, Sunasir Dutta, Hise O. Gibson, and Eric Lin. "Crucibles, Multiple Sensitive Periods, and Career Progression." Academy of Management Proceedings (2024).
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