Publications

October–December 2015
Article

Reducing Bounded Ethicality: How to Help Individuals Notice and Avoid Unethical Behavior

By: Ting Zhang, Pinar O. Fletcher, Francesca Gino and Max H. Bazerman

Research on ethics has focused on the factors that help individuals act ethically when they are tempted to cheat. However, we know little about how best to help individuals notice unethical behaviors in others and in themselves. This paper identifies a solution:... View Details

Keywords: Ethics; Management Skills; Behavior; Perception

11 Mar 2015
News

How Self-Service Kiosks Are Changing Customer Behavior

May 2012
Article

Incentive Schemes, Sorting and Behavioral Biases of Employees: Experimental Evidence

By: Ian Larkin and Stephen Leider

We investigate how the convexity of a firm's incentives interacts with worker overconfidence to affect sorting decisions and performance. We demonstrate experimentally that overconfident employees are more likely to sort into a non-linear incentive scheme over a linear... View Details

Keywords: Motivation and Incentives; Performance; Behavior; Prejudice and Bias; Decisions; Employees; Wages

Web

About - Behavioral Finance & Financial Stability

About About The global financial crisis brought to the forefront of academic and policy discussion the question of how best to ensure the stability of the financial system. Researchers at Harvard have led groundbreaking View Details

TeachingInterests

Behavioral Economics and Applications in Markets (Econ 970, Spring 2013 and 2014)

Second-year undergraduate course introducing students to academic research in the field of behavioral economics. The course covers key models of time-inconsistent preferences, overconfidence, social preferences, and projection bias. The students are introduced to... View Details

31 Jan 2012
Working Paper Summaries

Observation Bias: The Impact of Demand Censoring on Newsvendor Level and Adjustment Behavior

Keywords: by David F. Drake

January 2021
Article

Machine Learning for Pattern Discovery in Management Research

By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres

Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect... View Details

Keywords: Machine Learning; Supervised Machine Learning; Induction; Abduction; Exploratory Data Analysis; Pattern Discovery; Decision Trees; Random Forests; Neural Networks; ROC Curve; Confusion Matrix; Partial Dependence Plots; AI and Machine Learning

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

Keywords: Policy; Technology Adoption; Behavior; Research; Consumer Behavior; Internet and the Web

2024
Working Paper

Using LLMs for Market Research

By: James Brand, Ayelet Israeli and Donald Ngwe

Large language models (LLMs) have rapidly gained popularity as labor-augmenting tools for programming, writing, and many other processes that benefit from quick text generation. In this paper we explore the uses and benefits of LLMs for researchers and practitioners... View Details

Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry

SSRN

2003
Other Unpublished Work

Compensatory Transfers in Two-Player Decision Problems

By: Jerry R. Green

Keywords: Decision Choices and Conditions; Game Theory