Social Contagion and Information Technology Diffusion: The Adoption of Electronic Medical Records in U.S. Hospitals
Corey M. Angst (),
Ritu Agarwal (),
V. Sambamurthy () and
Ken Kelley ()
Additional contact information
Corey M. Angst: Mendoza College of Business, University of Notre Dame, Notre Dame, Indiana 46556
Ritu Agarwal: Robert H. Smith School of Business, University of Maryland, College Park, Maryland 20742
V. Sambamurthy: Eli Broad College of Business, Michigan State University, East Lansing, Michigan 48824
Ken Kelley: Mendoza College of Business, University of Notre Dame, Notre Dame, Indiana 46556
Management Science, 2010, vol. 56, issue 8, 1219-1241
Abstract:
We use a social contagion lens to study the dynamic, temporal process of the diffusion of electronic medical records in the population of U.S. hospitals. Social contagion acknowledges the mutual influence among organizations within an institutional field and implicates information transmission through direct contact and observation as the mechanisms underlying influence transfer. We propose hypotheses predicting a hospital's likelihood of adopting electronic medical records as a function of its susceptibility to the influence of prior adopters, the infectiousness or potency of influence exerted by adopting hospitals, and its social and spatial proximity to prior adopters. Results obtained by fitting a heterogeneous diffusion model to data from a sample drawn from an annual survey, spanning 1975 to 2005, of almost 4,000 U.S. hospitals suggest that diffusion can be accelerated if specific attention is given to increasing social contagion effects. In particular, with respect to susceptibility to influence, greater hospital size and age are positively related to the likelihood of adoption for nonadopters, whereas younger hospitals are associated with greater infectiousness for adopters. A hospital's "celebrity" status also contributes to its infectiousness. We further find strong effects for social proximity and significant regional effects for spatial proximity and hospital size, suggesting that geographical covariates should be included in diffusion studies. Results also reinforce the importance of theorizing about and including interactions in examinations of social contagion.
Keywords: electronic medical record; diffusion; social contagion; propensity; susceptibility; infectiousness; spatial and social proximity (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (67)
Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.1100.1183 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:56:y:2010:i:8:p:1219-1241
Access Statistics for this article
More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().