How Does the Implementation of Enterprise Information Systems Affect a Professional’s Mobility? An Empirical Study

Brad N. Greenwood (), Kartik K. Ganju () and Corey M. Angst ()
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Brad N. Greenwood: Information and Decision Sciences, Carlson School of Management, University of Minnesota, Minneapolis, Minnesota 55455;
Kartik K. Ganju: Desautels Faculty of Management, McGill University, Montréal, Quebec H3A 1G5, Canada;
Corey M. Angst: Information Technology, Analytics, and Operations, Mendoza College of Business, University of Notre Dame, Notre Dame, Indiana 46556

Information Systems Research, 2019, vol. 30, issue 2, 563-594

Abstract: Although significant research has examined the effect of enterprise information systems on the behavior and careers of employees, the majority of this work has been devoted to the study of blue- and gray-collar workers, with little attention paid to the transformative effect information technology may have on high-status professionals. In this paper, we begin to bridge this gap by examining how highly skilled professionals react to the increasing presence of enterprise systems within their organizations. Specifically, we investigate how the implementation of enterprise systems—in the form of electronic health records—affects the decision of physicians to continue practicing at their current hospital. Results suggest that when enterprise systems create complementarities for professionals, their duration of practice at the organization increases significantly. However, when technologies are disruptive and force professionals to alter their routines, there is a pronounced exodus from the organization. Interestingly, these effects are strongly moderated by individual and organizational characteristics, such as the degree of firm-specific human capital, local competition, and the prevalence of past disruptions, but are not associated with accelerated retirement or the strategic poaching of talent by competing organizations.

Keywords: professional mobility; physicians; enterprise systems; technology adoption; electronic health records; logit hazard model (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:inm:orisre:v:30:y:2019:i:2:p:563-594

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