Publications

Research Summary

Overview

By: Ayelet Israeli

Professor Israeli utilizes econometric methods and field experiments to study data driven decision making in marketing context. Her research focuses on data-driven marketing, with an emphasis on how businesses can leverage their own data, customer data, and market data... View Details

Keywords: Channel Management; Pricing; Pricing Policies; Online Marketing; E-commerce; Analytics; Econometrics; Field Experiments; Data Analytics; Artificial Intelligence; Value Of Data

21 Nov 2011
Working Paper Summaries

Caste and Entrepreneurship in India

Keywords: by Lakshmi Iyer, Tarun Khanna & Ashutosh Varshney

28 Apr 2011
Working Paper Summaries

When Smaller Menus are Better: Variability in Menu-Setting Ability and 401(k) Plans

Keywords: by David Goldreich & Hanna Halaburda

February 2000 (Revised August 2000)
Case

Priceline WebHouse Club

By: Thomas R. Eisenmann and Jon K Rust

Priceline empowered consumers to "name their own price" for airline tickets and hotel rooms; then it shopped these offers to marketers. Priceline's founder Jay Walker described the resulting transactions as a new ecosystem, that helped consumers realize lower prices... View Details

Keywords: Business Model; Strategy; Disruptive Innovation; Internet and the Web; Entrepreneurship; Retail Industry

Educators

Research Summary

Overview

For the past several decades, income inequality in the United States has steadily increased. The extent of this inequality is exacerbated when making comparisons between the very rich and poor or men and women. Professor Exley’s research is driven by a desire to better... View Details

31 Aug 2010
Working Paper Summaries

Multinational Firms, Labor Market Discrimination, and the Capture of Competitive Advantage by Exploiting the Social Divide

Keywords: by Jordan I. Siegel, Lynn Pyun & B.Y. Cheon

2022
Article

A Human-Centric Take on Model Monitoring

By: Murtuza Shergadwala, Himabindu Lakkaraju and Krishnaram Kenthapadi

Predictive models are increasingly used to make various consequential decisions in high-stakes domains such as healthcare, finance, and policy. It becomes critical to ensure that these models make accurate predictions, are robust to shifts in the data, do not rely on... View Details

Keywords: AI and Machine Learning; Research and Development; Demand and Consumers

02 Jan 2024
Research & Ideas

10 Trends to Watch in 2024

The lightning-fast ascent of generative AI isn’t the only sea change on the horizon for businesses in the new year. The global economy is in flux as war, climate change, trade issues, and infrastructure problems demand attention. Many companies continue to struggle to... View Details

Keywords: by Rachel Layne

08 Aug 2023
Research & Ideas

Black Employees Not Only Earn Less, But Deal with Bad Bosses and Poor Conditions

for these firms, while Black employees are left out of these positions and therefore have to work in companies with worse work environments.” Zhang speculates that this sorting is due to a combination of racial discrimination by managers... View Details

Keywords: by Michael Blanding

July 2024
Article

How Artificial Intelligence Constrains Human Experience

By: A. Valenzuela, S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino and K. Wertenbroch

Many consumption decisions and experiences are digitally mediated. As a consequence, consumer behavior is increasingly the joint product of human psychology and ubiquitous algorithms (Braun et al. 2024; cf. Melumad et al. 2020). The coming of age of Large Language... View Details

Keywords: Large Language Model; User Experience; AI and Machine Learning; Consumer Behavior; Technology Adoption; Risk and Uncertainty; Cost vs Benefits

Forthcoming
Article

Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation

By: Maya Balakrishnan, Kris Ferreira and Jordan Tong

Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details

Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing

23 Jun 2015
First Look

First Look: June 23, 2015

Publications Forthcoming National Bureau of Economic Research Innovation Policy and the Economy, Volume 16 By: Lerner, Josh, and Scott Stern Abstract—No abstract available. Publisher's link: http://papers.nber.org/books/lern15-1 2015 International Encyclopedia of the... View Details

Keywords: Sean Silverthorne

Article

From Orientation to Behavior: The Interplay Between Learning Orientation, Open-mindedness, and Psychological Safety in Team Learning

By: Jean-François Harvey, Kevin J. Johnson, Kathryn S. Roloff and Amy C. Edmondson

Do teams with motivation to learn actually engage in the behaviors that produce learning? Though team learning orientation has been found to be positively related to team learning, we know little about how and when it actually fosters team learning. It is obviously not... View Details

Keywords: Emergent States; Goal Orientation; Open-mindedness; Psychological Safety; Team Learning; Teams; Groups and Teams; Learning; Goals and Objectives

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2022
Other Teaching and Training Material

Organizational Behavior Reading: Managing Differences

By: Robin Ely and Colleen Ammerman

This reading provides principles and practices managers can draw upon to leverage differences in social identities - such as gender and race - to create more effective work relationships, teams, and organizations. The Essential Reading's first section draws upon... View Details

Keywords: Diversity; Groups and Teams; Prejudice and Bias; Identity; Management Practices and Processes

2020
Working Paper

Do Lenders Still Discriminate? A Robust Approach for Assessing Differences in Menus

By: David Hao Zhang and Paul Willen

We use a new methodology to assess mortgage pricing discrimination by race. We make four main contributions. First, we show that existing estimates of mortgage pricing differences by race can be confounded by a "menu problem," which is the problem associated with... View Details

Keywords: Mortgages; Financing and Loans; Prejudice and Bias; Race; Measurement and Metrics; Banking Industry; United States

September 2019 (Revised May 2021)
Case

pymetrics: International Expansion

By: John R. Wells and Benjamin Weinstock

In August 2018, pymetrics, a solution offering neuroscience-based recruiting tests, closed a $40 million funding round that valued the business at $160 million. Over 60 companies around the globe were using pymetrics tests in their recruiting process, including... View Details

Educators

October 6, 2015
Article

Compared to Men, Women View Professional Advancement as Equally Attainable, but Less Desirable

By: Francesca Gino, Caroline Ashley Wilmuth and Alison Wood Brooks

Women are underrepresented in most high-level positions in organizations. While a great deal of research has provided evidence that bias and discrimination give rise to and perpetuate this gender disparity, in the current research, we explore another explanation: men... View Details

Keywords: Personal Development and Career; Gender

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