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- 2025
- Working Paper
How Does Wage Inequality Affect the Labor Movement
By: Barbara Biasi, Zoë B. Cullen, Julia H. Gilman and Nina Roussille
This paper provides causal evidence on how wage inequality among workers affects the labor movement using three complementary research designs: a vignette experiment with union organizers, a natural policy experiment that increased wage inequality among Wisconsin... View Details
Biasi, Barbara, Zoë B. Cullen, Julia H. Gilman, and Nina Roussille. "How Does Wage Inequality Affect the Labor Movement." NBER Working Paper Series, No. 33978, July 2025.
- July–August 2025
- Article
Passion Penalizes Women and Advantages (Unexceptional) Men in High-Potential Designations
By: Joyce He, Jon M. Jachimowicz and Celia Moore
High potential programs offer a swift path up the corporate ladder for those who secure a place on them. However, the evaluation of “potential” occurs under considerable uncertainty, creating fertile ground for gender bias. We document that men are more likely than... View Details
Keywords: Passion; Potential; Gender; Motivation and Incentives; Performance; Talent and Talent Management
He, Joyce, Jon M. Jachimowicz, and Celia Moore. "Passion Penalizes Women and Advantages (Unexceptional) Men in High-Potential Designations." Organization Science 36, no. 4 (July–August 2025): 1438–1465.
- June 10, 2025
- Article
Research: When Help Isn’t Helpful
By: Colin M. Fisher, Julianna Pillemer and Teresa M. Amabile
Asking for and receiving help at work can boost employees’ creativity, help them learn new skills, and strengthen their interpersonal ties. Yet a years-long study at a global design consultancy found that even in organizations with strong helping cultures, a... View Details
Fisher, Colin M., Julianna Pillemer, and Teresa M. Amabile. "Research: When Help Isn’t Helpful." Harvard Business Review Digital Articles (June 10, 2025).
- June 2025
- Article
Collusion in Brokered Markets
By: John William Hatfield, Scott Duke Kominers and Richard Lowery
High commissions in the U.S. residential real estate agency market present a puzzle for economic theory because brokerage is not a concentrated industry. We model brokered markets as a game in which agents post prices for customers and then choose which other agents to... View Details
Keywords: Real Estate Agents; Real Estate; Realtors; Broker Networks; Brokerage; Brokerage Commissions; "Brokerage Industry; Brokered Markets; Brokering; Brokers; Industrial Organization; Repeated Game Framework; "Repeated Games"; Collusion; Antitrust; Microeconomics; Market Design; Theory; Game Theory; Real Estate Industry
Hatfield, John William, Scott Duke Kominers, and Richard Lowery. "Collusion in Brokered Markets." Journal of Finance 80, no. 3 (June 2025): 1417–1462.
- June 2025
- Article
Ideation with Generative AI—In Consumer Research and Beyond
By: Julian De Freitas, G. Nave and Stefano Puntoni
The use of large language models (LLMs) in consumer research is rapidly evolving, with applications including synthetic data generation, data analysis, and more. However, their role in creative ideation—a cornerstone of consumer research—remains underexplored. Drawing... View Details
De Freitas, Julian, G. Nave, and Stefano Puntoni. "Ideation with Generative AI—In Consumer Research and Beyond." Journal of Consumer Research 51, no. 1 (June 2025): 18–31.
- June 2025
- Article
Passive Ownership and Price Informativeness
By: Marco Sammon
I show that passive ownership negatively affects the degree to which stock prices anticipate earnings announcements. Estimates across several research designs imply that the rise in passive ownership over the last 30 years has caused the amount of information... View Details
Keywords: Passive Ownership; ETFs; Market Efficiency; Price; Investment Funds; Stocks; Communication
Sammon, Marco. "Passive Ownership and Price Informativeness." Management Science 71, no. 6 (June 2025): 4582–4598.
- May–June 2025
- Article
Centralization and Organization Reproduction: Ethnic Innovation in R&D Centers and Satellite Locations
By: William R. Kerr
We study the relationship between firm centralization and organizational reproduction in satellite locations. For decentralized firms, the ethnic compositions of inventors in satellite locations mostly resemble their host cities, with little link to the inventor... View Details
Keywords: Organizational Reproduction; Centralization; Research and Development; Innovation and Invention; Organizational Design; Ethnicity
Kerr, William R. "Centralization and Organization Reproduction: Ethnic Innovation in R&D Centers and Satellite Locations." Organization Science 36, no. 3 (May–June 2025): 1088–1109.
- April 2025
- Case
Lisa Su and AMD (A)
By: Joshua D. Margolis, Matthew Preble and Dave Habeeb
This multimedia case study focuses on CEO Lisa Su’s turnaround and subsequent transformation of the technology company Advanced Micro Devices, Inc. (AMD). When Su accepted the top position in 2014, AMD was on the verge of collapse. Su focused on the company’s culture,... View Details
Keywords: Turnaround; Change Management; Transformation; Decision Making; Globalized Markets and Industries; Government and Politics; AI and Machine Learning; Innovation and Management; Innovation Strategy; Innovation Leadership; Leadership Style; Leading Change; Management; Product Design; Product Development; Organizational Change and Adaptation; Organizational Culture; Organizational Design; Strategic Planning; Business and Shareholder Relations; Business and Stakeholder Relations; Research and Development; Business Strategy; Competitive Strategy; Competitive Advantage; Corporate Strategy; Semiconductor Industry; Computer Industry; United States; California; Texas
Margolis, Joshua D., Matthew Preble, and Dave Habeeb. "Lisa Su and AMD (A)." Harvard Business School Multimedia/Video Case 425-704, April 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
Dix, Rebekah, and Todd A. Lensman. "Combining Complements: Theory and Evidence from Cancer Treatment Innovation." Working Paper, January 2025.
- 2025
- Working Paper
Policy-Aware Experimentation: Strategic Sampling for Optimized Targeting Policies
By: Yi-Wen Chen, Eva Ascarza and Oded Netzer
Firms often rely on randomized experiments to estimate customer-level treatment effects for targeting policies. Standard "test-then-learn" approaches typically sample customers uniformly to optimize estimation accuracy but ignore economic objectives, leading to... View Details
Chen, Yi-Wen, Eva Ascarza, and Oded Netzer. "Policy-Aware Experimentation: Strategic Sampling for Optimized Targeting Policies." Columbia Business School Research Paper Series, No. 5044549, December 2024. (Revised June 2025.)
- December 2024
- Article
Respect for Improvements and Comparative Statics in Matching Markets
One of the oldest results in the theory of two-sided matching is the entry comparative static, which shows that under the Gale–Shapley deferred acceptance algorithm, adding a new agent to one side of the market makes all the agents on the other side weakly... View Details
Kominers, Scott Duke. "Respect for Improvements and Comparative Statics in Matching Markets." Journal of Mechanism and Institution Design 9, no. 1 (December 2024): 83–104.
- 2024
- Working Paper
Does Private Equity Have Any Business Being in the Health Care Business?
By: Nori Gerardo Lietz and Zirui Song
Private Equity (“PE”) has come under increased scrutiny by the press, academics, and policymakers, as well as the public, for its investments in health care delivery. This scrutiny has been exacerbated by recent high profile hospital bankruptcies following PE... View Details
Lietz, Nori Gerardo, and Zirui Song. "Does Private Equity Have Any Business Being in the Health Care Business?" Harvard Business School Working Paper, No. 25-012, September 2024.
- July 2024
- Article
Chatbots and Mental Health: Insights into the Safety of Generative AI
By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp and Stefano Puntoni
Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety... View Details
Keywords: Autonomy; Chatbots; New Technology; Brand Crises; Mental Health; Large Language Model; AI and Machine Learning; Behavior; Well-being; Technological Innovation; Ethics
De Freitas, Julian, Ahmet Kaan Uğuralp, Zeliha Uğuralp, and Stefano Puntoni. "Chatbots and Mental Health: Insights into the Safety of Generative AI." Journal of Consumer Psychology 34, no. 3 (July 2024): 481–491.
- 2024
- Working Paper
Digital Platforms 2.0: Learnings, Opportunities, and Challenges
By: Shrabastee Banerjee, Ishita Chakraborty, Hana Choi, Hannes Datta, Remi Daviet, Chiara Farronato, Minkyung Kim, Anja Lambrecht, Puneet Manchanda, Aniko Oery, Ananya Sen, Marshall W Van Alstyne, Prasad Vana, Kenneth C Wilbur, Xu Zhang and Bobby Zhou
Platform-based digital ecosystems form the backbone of our interactions with the Internet. Over the past decade, digital ecosystems have witnessed significant growth, both in terms of industry footprint and academic research. Yet, the challenges associated with their... View Details
Banerjee, Shrabastee, Ishita Chakraborty, Hana Choi, Hannes Datta, Remi Daviet, Chiara Farronato, Minkyung Kim, Anja Lambrecht, Puneet Manchanda, Aniko Oery, Ananya Sen, Marshall W Van Alstyne, Prasad Vana, Kenneth C Wilbur, Xu Zhang, and Bobby Zhou. "Digital Platforms 2.0: Learnings, Opportunities, and Challenges." Working Paper, June 2024.
- 2024
- Working Paper
Webmunk: A New Tool for Studying Online Behavior and Digital Platforms
By: Chiara Farronato, Andrey Fradkin and Chris Karr
Understanding the behavior of users online is important for researchers, policymakers, and private companies alike. But observing online behavior and conducting experiments is difficult without direct access to the user base and software of technology companies. We... View Details
Farronato, Chiara, Andrey Fradkin, and Chris Karr. "Webmunk: A New Tool for Studying Online Behavior and Digital Platforms." NBER Working Paper Series, No. 32694, July 2024.
- 2025
- Working Paper
Evaluations Amid Measurement Error: Determining the Optimal Timing for Workplace Interventions
By: Matthew DosSantos DiSorbo, Iavor I. Bojinov and Fiammetta Menchetti
Researchers have embraced factorial experiments to simultaneously evaluate multiple treatments, each with different levels. Typically, in large-scale factorial experiments, the primary objective is identifying the treatment with the largest causal effect, especially... View Details
Keywords: Factorial Designs; Fisher Randomizations; Rank Estimators; Employer Interventions; Causal Inference; Mathematical Methods; Performance Improvement
DosSantos DiSorbo, Matthew, Iavor I. Bojinov, and Fiammetta Menchetti. "Evaluations Amid Measurement Error: Determining the Optimal Timing for Workplace Interventions." Harvard Business School Working Paper, No. 24-075, June 2024. (Revised May 2025.)
- June 2024
- Article
Redistributive Allocation Mechanisms
By: Mohammad Akbarpour, Piotr Dworczak and Scott Duke Kominers
Many scarce public resources are allocated at below-market-clearing prices, and sometimes for free. Such "non-market" mechanisms sacrifice some surplus, yet they can potentially improve equity. We develop a model of mechanism design with redistributive concerns. Agents... View Details
Akbarpour, Mohammad, Piotr Dworczak, and Scott Duke Kominers. "Redistributive Allocation Mechanisms." Journal of Political Economy 132, no. 6 (June 2024): 1831–1875. (Authors' names are in certified random order.)
- 2023
- Working Paper
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits
By: Biyonka Liang and Iavor I. Bojinov
Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details
Liang, Biyonka, and Iavor I. Bojinov. "An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits." Harvard Business School Working Paper, No. 24-057, March 2024.
- 2024
- Working Paper
Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference
By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov
Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to... View Details
Lindon, Michael, Dae Woong Ham, Martin Tingley, and Iavor I. Bojinov. "Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference." Harvard Business School Working Paper, No. 24-060, March 2024.
- 2024
- Working Paper
Design of Panel Experiments with Spatial and Temporal Interference
By: Tu Ni, Iavor Bojinov and Jinglong Zhao
One of the main practical challenges companies face when running experiments (or A/B tests) over a panel is interference, the setting where one experimental unit's treatment assignment at one time period impacts another's outcomes, possibly at the following time... View Details
Keywords: Research
Ni, Tu, Iavor Bojinov, and Jinglong Zhao. "Design of Panel Experiments with Spatial and Temporal Interference." Harvard Business School Working Paper, No. 24-058, March 2024.