Publications

Over half of all shopping journeys start with the mobile channel. In particular, the presence of a branded mobile app significantly influences shopping across channels. However, a majority of app users decrease app usage or even abandon an app,…

This paper deals with a central challenge in organization and management research: to predict the evolution of an organization’s adaptive capability. We address both theoretical and methodological gaps in existing research. First, focusing on the…

The attitude-behavior relationship is of great import to many areas of psychology. Indeed, psychologists across disciplines have published thousands of articles on the topic. The majority of this research implies the attitude-behavior…

The standard measure of distance in social networks — average shortest path length — assumes a model of “simple” contagion, in which people only need exposure to influence from one peer to adopt the contagion. However, many social phenomena are “…

Genetic genealogy search has emerged as a powerful technique for identifying individuals by leveraging their genetic information and a genealogical network. The current practice relies on searching within a pre-constructed database containing…

Why are organizations sometimes so similar, and in other cases so different? For decades this question has been central to research on organizations, and two leading theories have answered the question very differently. Neo-institutional theory…

More is known about the structural features of health system integration than the social features—elements of normative integration (alignment of norms) and interpersonal integration (collaboration among professionals and with patients). We…

In severe viral pneumonia, including Coronavirus disease 2019 (COVID-19), the viral replication phase is often followed by hyperinflammation, which can lead to acute respiratory distress syndrome, multi-organ failure, and death. We previously…

We study the problem of model selection for contextual bandits, in which the algorithm must balance the bias-variance trade-off for model estimation while also balancing the exploration-exploitation trade-off. In this paper, we propose the first…

We propose a new diffusion-asymptotic analysis for sequentially randomized experiments, including those that arise in solving multi-armed bandit problems. In an experiment with n time steps, we let the mean reward gaps between actions…

It has become increasingly common for data to be collected adaptively, for example using contextual bandits. Historical data of this type can be used to evaluate other treatment assignment policies to guide future innovation or experiments.…

Understanding the real reasons why diversity initiatives provoke opposition can help you lead employees through cultural transformation.

Great strategies don’t come easily. They require constructive debate, iterative visualization, and logical formalization. Successful companies like Amazon and Netflix use these activities to cut through the strategic fog. The…

We propose the cyclic permutation test to test general linear hypotheses for linear models. The test is nonrandomized and valid in finite samples with exact Type I error α for an arbitrary fixed design matrix and arbitrary exchangeable errors,…

The bootstrap, introduced by The Jackknife, the Bootstrap and Other Resampling Plans [(1982), SIAM], has become a very popular method for estimating variances and constructing confidence intervals. A key insight is that one can approximate the…

We provide a tool to model and solve strategic situations where players’ perceptions are limited, as well as situations where players realize that other players’ perceptions may be limited and so on. We define normal, repeated, incomplete…

We propose a general framework based on selectively traversed accumulation rules for interactive multiple testing with generic structural constraints on the rejection set. It combines accumulation tests from ordered multiple testing with data-…

Computational social science is more than just large repositories of digital data and the computational methods needed to construct and analyze them. It also represents a convergence of different fields with different ways of thinking about and…

We characterize equilibrium leverage dynamics in a trade-off model in which the firm can continuously adjust leverage and cannot commit to a policy ex ante. While the leverage ratchet effect leads shareholders to issue debt gradually over time,…

Need screening is a rigorous process of filtering and ranking a collection of need statements based on objective metrics such as healthcare value, market size, clinical impact, disease state, and disease pathophysiology.