Publications

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Journal Articles

View peer-reviewed research by Stanford GSB faculty, published in leading journals across the business disciplines.

Books

View books written or edited by Stanford GSB faculty, from textbooks to books for a wider audience.

Working Papers

View scholarly works-in-progress by Stanford GSB faculty, which often appear in final form in academic journals.

Case Studies

View abstract and ordering information for case studies written and published by faculty at Stanford GSB.

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Journal Article

Balancing Cost and Care: Analyzing Commercial Pricing for TAVR and SAVR

Chen Wei, Pranav Sharma, Ishan Paranjpe, Paul A. Heindenreich, Kevin A. Schulman, Alexander Sandhu
American Heart Journal July42025

In a nationwide examination of commercial prices for transcatheter aortic valve replacement (TAVR) and surgical aortic valve replacement (SAVR), we observed substantial markups and variability across hospitals, payers, and plan types—including…

Journal Article

The Global Persistence of Work from Home

Cevat Giray Aksoy, Jose Maria Barrero, Nicholas A. Bloom, Pablo Zarate
PNAS July32025 Vol. 122 Issue 27

Work from home (WFH) surged worldwide during the COVID-19 pandemic, then partially receded as the pandemic subsided. Using our Global Survey of Working Arrangements covering dozens of countries, we find that average WFH rates among college-…

Journal Article

A Customer Journey Mapping Approach with Mobile Application

Yiqing Ding, James M. Lattin, Awua M. Buahin, Gabriella A. Dweck
Journal of Mechanical Design July2025 Vol. 147 Issue 7

Customer journey mapping (CJM) is a product and service design method that is widely used by design researchers and practitioners. It tracks the customer’s or user’s interactions with products and services during experiences and maps out…

Journal Article

Data-Driven Equation Discovery Reveals Nonlinear Reinforcement Learning in Humans

Kyle J. LaFollette, Janni Yuval, Roey Schurr, David Melnikoff, Amit Goldenberg
Proceedings of the National Academy of Sciences July2025 Vol. 122 Issue 31

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,…

Working Paper

Fair Market Value of Used Capacity Assets: Forecasts for Repurposed Electric Vehicle Batteries

Amadeus Bach, Simona Onori, Stefan J. Reichelstein, Jihan Zhuang
July2025

Responding to economic and environmental pressures, a growing number of companies seek to repurpose products (assets) that retain functional capacity beyond their initial first life. This paper examines a generic valuation model for used capacity…

Journal Article

Information-Based Pricing in Specialized Lending

Kristian Blickle, Zhiguo He, Jing Huang, Cecilia Parlatore
Journal of Financial Economics July2025 Vol. 172 Issue 104135

We study how competition between asymmetrically informed banks, one specialized and one nonspecialized, affects loan prices. Both banks possess “general” signals regarding the borrower’s quality, which they use to screen loans. The specialized…

Journal Article

Liberals and Conservatives Share Information Differently on Social Media

Ho-Chun Herbert Chang, James N. Druckman, Emilio Ferrara, Robb Willer
PNAS Nexus July2025 Vol. 4 Issue 7

Social media provides citizens with direct access to information shared by politicians. Citizens, in turn, play a critical role in diffusing such content. Do conservative and liberal citizens differ in their decisions about which representatives…

Journal Article

Locally Ensconced and Globally Integrated: How Network Cohesion and Range Relate to a Language-Based Model of Organizational Identification

Lara Yang, Sarayu Anshuman, Amir Goldberg, Sameer B. Srivastava
American Journal of Sociology July2025 Vol. 131 Issue 1

Shifting attachments to organizations are a constant in the modern era. What accounts for variation in the strength of organizational identification? Whereas prior work has emphasized organization-level properties and individual differences, this…

White Paper

NVIDIA: Strategic Evolution Through Innovation

Haim Mendelson, PJ Loury
Value Chain Innovation Initiative July2025

NVIDIA has grown from a small, niche player into one of the titans of the information technology industry, alongside established leaders such as Microsoft and Apple. How has a company that started out by giving gamers a better playing experience…

Journal Article

Seeking Beauty and Finding Health: How Choosing Beautiful Food Promotes Healthy Eating

Eda Erensoy, Louise Lu, Jennifer Aaker, Ayelet Fishbach
Journal of Consumer Research July2025

Consumers frequently perceive a tradeoff between health and taste, leading to poor dietary choices. This research identifies a novel pathway to healthier eating: seeking beauty in food. Across seven pre-registered field and lab studies, pursuing…

Journal Article

Understanding the Effects of Values Affirmation on Deaf Students in Nepal: Evidence from a Randomized Controlled Trial

Zezhen Wu, Shwetlena Sabarwal, Diwakar Basnet, Lawrence Aber, Geoffrey Lawrence Cohen
Social Psychology of Education July2025 Vol. 28 Issue 140

In this paper, we present two studies from the first randomized controlled trial on the impact of a values affirmation intervention on academic performance and psychological well-being in school for deaf students in secondary deaf schools in…

Working Paper

Expectations Formation with Fat-Tailed Processes: Evidence and Theory

Tim de Silva, Eugene Larsen-Hallock, Adam Rej, David Themar
June302025

This paper studies expectations formation when the underlying process has fat tails. Using a large sample of firm sales growth expectations, we document three facts: (i) the relationship between forecast revisions and future forecast errors is…

Working Paper

The Wealth of Stagnation: Falling Growth, Rising Valuations

James D. Paron
June292025

Over the last half-century, economic growth stagnated but stock-market wealth boomed. I present evidence that declining innovation productivity reconciles these trends. At the macro level, I document that R&D spending has fallen relative to…

Journal Article

Towards Resiliency in the US Healthcare Supply Chain

Kevin A. Schulman, Wasan Kumar, Neera Ahuja
Journal of Hospital Medicine June292025
Working Paper

Selective Inattention to Interest Rates

Pierfrancesco Mei, Tim de Silva
June252025

This paper studies whether households are selectively inattentive to interest rates and examines its macroeconomic implications. We first use existing and newly-designed household surveys to establish that households close to durables purchases…

Journal Article

Skating on Thin Ice: New Evidence on Financial Fragility

Jasmira T. E. Wiersma, Rob J. M. Alessie, Adriaan S. Kalwij, Annamaria Lusardi, Maarten C. J. van Rooij
Journal of Consumer Affairs June242025

This paper examines the financial fragility of Dutch households by assessing their ability to raise €2000 within a month in the event of a financial emergency. We show that one in seven Dutch households was financially fragile well before the…

Working Paper

Insurance versus Moral Hazard in Income-Contingent Student Loan Repayment

Tim de Silva
June232025

Student loans with income-contingent repayment insure borrowers against income risk but can reduce their incentives to earn more. Using a change in Australia’s income-contingent repayment schedule, I show that borrowers reduce their labor supply…

Journal Article

Tax Avoidance as an R&D Subsidy: The Use of Cost Sharing Agreements by US Multinationals

Lysle Boller, Clare Doyle, Juan Carlos Suárez Serrato
International Tax and Public Finance June232025 Vol. 32 Pages 1691–1733.

We use administrative corporate tax data from the IRS to study a particular form of tax avoidance for US multinational corporations (MNCs). This strategy relies on cost sharing agreements (CSAs), which govern joint R&D efforts conducted with…

Journal Article

Model-based Algorithms Shape Automatic Evaluative Processing

David Melnikoff, Benedek Kurdi
PNAS June202025 Vol. 122 Issue 25

Computational theories of reinforcement learning suggest that two families of algorithm—model-based and model-free—tightly map onto the classic distinction between automatic and deliberate systems of control: Deliberate evaluative responses are…

Journal Article

Load Balancing Using Sparse Communication

Gal Mendelson, Kuang Xu
Operations Research June192025

Load balancing across parallel servers is an important class of congestion control problems that arise in service systems. An effective load balancer relies heavily on accurate, real-time congestion information to make routing decisions. However…