Publications

November 2022
Article

My Boss' Passion Matters as Much as My Own: The Interpersonal Dynamics of Passion Are a Critical Driver of Performance Evaluations

By: Jon M. Jachimowicz, Andreas Wihler and Adam D. Galinsky

Companies often celebrate employees who successfully pursue their passion. Academic research suggests that these positive evaluations occur because of the passion percolating inside the employee. We propose that supervisors are also a key piece of this puzzle:... View Details

Keywords: Passion; Job Performance; Motivation; Emotions; Performance Evaluation; Interpersonal Communication

Purchase

December 2021
Article

Seeing Oneself as a Valued Contributor: Social Worth Affirmation Improves Team Information Sharing

By: Julia Lee Cunningham, Francesca Gino, Dan Cable and Bradley Staats

Teams often fail to reach their potential because members’ concerns about being socially accepted prevent them from offering their unique perspectives to the team. Drawing on relational self and self-affirmation theory, we argue that affirmation of team members’ social... View Details

Keywords: Social Worth Affirmation; Relational Identity; Self-affirmation; Information Sharing In Teams; Concerns About Social Acceptance; Groups and Teams; Identity; Relationships; Knowledge Sharing

May 2017
Article

Behavioral Processes in Long-Lag Interventions

By: Dale T. Miller, Jennifer E. Dannals and Julian Zlatev

We argue that psychologists who conduct experiments with long lags between the manipulation and the outcome measure should pay more attention to behavioral processes that intervene between the manipulation and the outcome measure. Neglect of such processes, we contend,... View Details

Keywords: Field Experiments; Interventions; Behavioral Mediation; Theories Of Change; Longitudinal Studies; Behavior; Research; Change; Theory

2024
Working Paper

Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization

By: Ta-Wei Huang, Eva Ascarza and Ayelet Israeli

This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets... View Details

Keywords: Heterogeneous Treatment Effect; Multi-task Learning; Representation Learning; Personalization; Promotion; Deep Learning; Field Experiments; Customer Focus and Relationships; Customization and Personalization

July 2016
Article

Taxation, Corruption, and Growth

By: Philippe Aghion, Ufuk Akcigit, Julia Cagé and William R. Kerr

We build an endogenous growth model to analyze the relationships between taxation, corruption, and economic growth. Entrepreneurs lie at the center of the model and face disincentive effects from taxation but acquire positive benefits from public infrastructure.... View Details

Keywords: Endogenous Growth; Public Goods; Corruption; Crime and Corruption; Entrepreneurship; Taxation; Economic Growth

2022
Article

Alleviating Time Poverty Among the Working Poor: A Pre-Registered Longitudinal Field Experiment

By: A.V. Whillans and Colin West

Poverty entails more than a scarcity of material resources—it also involves a shortage of time. To examine the causal benefits of reducing time poverty, we conducted a longitudinal feld experiment over six consecutive weeks in an urban slum in Kenya with a sample of... View Details

Keywords: Time; Subjective Well Being; Administrative Costs; Friction; Poverty; Well-being; Money; Perception; Kenya

Program

Disruptive Innovation

Apply theories of causality to understand why things happen the way they do Accurately predict the impact of strategic actions Better articulate your strategic questions and goals Assess the risks and opportunities presented by actions... View Details

2022
Working Paper

Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments

By: Kosuke Imai and Michael Lingzhi Li

Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details

Keywords: AI and Machine Learning; Mathematical Methods

2011
Article

Group Size and Incentives to Contribute: A Natural Experiment at Chinese Wikipedia

By: Michael Zhang and Feng Zhu

In this paper, we examine the causal relationship between group size and incentives to contribute in the setting of Chinese Wikipedia, the Chinese language version of an online encyclopedia that relies entirely on voluntary contributions. The group at Chinese Wikipedia... View Details

Keywords: Rights; Motivation and Incentives; Internet and the Web; Valuation; Groups and Teams; Knowledge Sharing; Behavior; Satisfaction; Size; Government and Politics; Economics; Information Technology Industry; Hong Kong; Taiwan; Singapore

January 2014
Article

China's 'New Regionalism': Subnational Analysis in Chinese Political Economy

By: Meg Rithmire

The study of Chinese political economy has undergone a sea change since the late 1990s; instead of debating the origins and direction of national reform, scholars have turned to examining the origins of local economic variation. This essay reviews recent work in... View Details

Keywords: China; Political Economy; Economy; Government and Politics; China

2010
Working Paper

A New Model of Integrity: The Missing Factor Of Production (PDF file of Keynote and PowerPoint Slides)

By: Michael C. Jensen, Kari L. Granger and Werner Erhard

An Actionable Pathway To Dramatic Increases In Individual And Organizational Performance.

Full Day Executive Program Seminar taught at Olin Business School, Washington University, St. Louis, MO.

Workshop Objectives:

To provide you and your... View Details

Keywords: Performance Improvement; Programs; Trust; Competitive Advantage; Value Creation; Washington (state, US)

14 Feb 2011
Research & Ideas

Clay Christensen’s Milkshake Marketing

causes us to buy a product, not what's correlated with it. We realized that the causal mechanism behind a purchase is, 'Oh, I've got a job to be done.' And it turns out that it's really effective in allowing a company to build products... View Details

Keywords: by Carmen Nobel; Retail; Service; Consumer Products; Food & Beverage

16 Jul 2012
Working Paper Summaries

Selection, Reallocation, and Spillover: Identifying the Sources of Gains from Multinational Production

Keywords: by Laura Alfaro & Maggie X. Chen

09 Jul 2010
Working Paper Summaries

The Limits of Nonprofit Impact: A Contingency Framework for Measuring Social Performance

Keywords: by Alnoor Ebrahim & V. Kasturi Rangan

2024
Working Paper

The Wade Test: Generative AI and CEO Communication

By: Prithwiraj Choudhury, Bart S. Vanneste and Amirhossein Zohrehvand

Can generative artificial intelligence (AI) transform the role of the CEO by effectively automating CEO communication? This study investigates whether AI can mimic a human CEO and whether employees’ perception of the communication’s source matter. In a field... View Details

Keywords: Business or Company Management; AI and Machine Learning; Perception; Communication

Research Summary

Overview

By: Iavor I. Bojinov

Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details

14 Jan 2009
Working Paper Summaries

Smart Money: The Effect of Education, Cognitive Ability, and Financial Literacy on Financial Market Participation

Keywords: by Shawn Cole & Gauri Kartini Shastry; Education; Financial Services

June 2022
Article

Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation

By: Jacqueline N. Lane, Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan and Karim R. Lakhani

The evaluation and selection of novel projects lies at the heart of scientific and technological innovation, and yet there are persistent concerns about bias, such as conservatism. This paper investigates the role that the format of evaluation, specifically information... View Details

Keywords: Project Evaluation; Innovation; Knowledge Frontier; Information Sharing; Negativity Bias; Projects; Innovation and Invention; Information; Knowledge Sharing

2021
Working Paper

The Effects of Temporal Distance on Intra-Firm Communication: Evidence from Daylight Savings Time

By: Jasmina Chauvin, Prithwiraj Choudhury and Tommy Pan Fang

Cross-border communication costs have plummeted and enabled the global distribution of work, but frictions attributable to distance persist. We estimate the causal effects of temporal distance, i.e., time zone separation between employees, on intra-firm communication,... View Details

Keywords: Communication Patterns; Time Zones; Geographic Frictions; Knowledge Workers; Multinational Companies; Communication; Multinational Firms and Management; Geographic Location