Does it Pay to Stand Out?

Funded Research Proposal

In this research project, we study how the human resource (HR) practices firms use affect how much value they capture from this innovation. Specifically, we analyze how employers and their technology workers divide the value generated when firms invest in new technologies that require workers to invest in new human capital. Read More

Algorithmic Literacy in the Labor Market

Working Papers

Using data on employer job search, this study demonstrates that employers are seeking algorithmic literacy from workers in a particularly broad class of occupations because familiarity with algorithms in downstream “using” occupations is important for integrating AI and data science into production. Read More

Information Provision in the Housing Market

Funded Research Proposal

Improvements in information technology in recent decades has changed our lives and upended industries. One of its major impacts is to make previously inaccessible information accessible, reduce information asymmetries and improve market efficiencies.Read More

Information Technology, Organizational Delayering, and Firm Productivity: Evidence from Canadian Microdata

Working Papers

This proposal explores how information technology and innovation in digitization affect organizational structure. Similar to earlier wave of IT adoption that substituted certain routine tasks, we plan to use the Workplace and Employee Survey from Canada to show that this new wave digitization and IT investments can induce a structural change in organizational hierarchies that differ from prior technologies. Read More

The Impact of e-Visits on Visit Frequencies and Patient Health: Evidence from Primary Care

Published Research

Secure messaging, or “e-visits,” between patients and providers has sharply increased in recent years, and many hope they will help improve healthcare quality, while increasing provider capacity. Using a panel data set from a large healthcare system in the United States, we find that e-visits trigger about 6% more office visits, with mixed results on phone visits and patient health.Read More

The Effects of Pay Dispersion and Demographic Similarity on Employee Turnover

Working Papers

Scholars have long recognized that individuals compare their rewards to those received by similar others and that satisfaction is determined, in part, by perceptions of (un)fairness that arise from these comparisons. Extensive research has also found that individuals frequently select others as pay referents who share the same race and the same gender, suggesting that demographic similarity strongly affects equity perceptions. Read More

Can Employee Training Lead to Higher Profits?

Headshot of a person smiling with a blurred outdoor background.

Does intensive internal training of employees lead to higher profits? In knowledge-based industries where the main asset is skilled professionals such as software engineers, the answer is yes, according to Senior Fellow Joydeep Chatterjee. But not all training yields equal benefits.Read More

Renting Capabilities from Consultants in Post-Acquisition Integration

Funded Research Proposal

This research investigates capability development at the business unit level of analysis. To do so, we consider business units that have been serially bought and sold, or “repeatedly divested” units.Read More

Property Rights and International Investment in Information Technology Services

Published Research

Many modern information technology services are increasingly being produced in a host country to serve clients in an offshore location. As a result, the internationalization of service functions is beginning to resemble that of their more traditional manufacturing counterparts.Read More

The Impact of Automation of Systems on Medical Errors: Evidence from Field Research

Published Research

Abstract: We use panel data from multiple wards from two hospitals spanning a three-year period to investigate the impact of automation of the core error prevention functions in hospitals on medical error rates. Although there are studies based on anecdotal evidence and self-reported data on how automation impacts medical errors, no systematic studies exist that are based on actual error rates from hospitals.Read More