The DOI matches its Crossref record; 121 of the 121 references it cites were found in a registry or an index.
Social Contagion and Information Technology Diffusion: The Adoption of Electronic Medical Records in U.S. Hospitals
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
DiMaggio, P. J., & Powell, W. W. (1983) · American Sociological Review · doi:10.2307/2095101 · Cited by 38,435
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · An Integrated Approach to Communication Theory and Research · doi:10.4324/9780203710753-35 · Cited by 37,322
DiMaggio, P. J., & Powell, W. W. (2004) · Advances in Strategic Management · doi:10.1016/s0742-3322(00)17011-1 · Cited by 25,802
Kytle, J., & Bandura, A. (1978) · Contemporary Sociology · doi:10.2307/2065952 · Cited by 25,422
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences
Cohen, P., Cohen, P., West, S. G., & Aiken, L. S. (2014) · Psychology Press eBooks · doi:10.4324/9781410606266 · Cited by 20,737
Managing Legitimacy: Strategic and Institutional Approaches
Suchman, M. C. (1995) · The Academy of Management Review · doi:10.2307/258788 · Cited by 19,903
Bowling Alone: America's Declining Social Capital
Putnam, R. D. (1995) · Journal of Democracy · doi:10.1353/jod.1995.0002 · Cited by 14,037
Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence
Singer, J. D., & Willett, J. B. (2003) · doi:10.1093/acprof:oso/9780195152968.001.0001 · Cited by 10,647
Pierce, W. D., & Bandura, A. (1977) · Canadian Journal of Sociology / Cahiers canadiens de sociologie · doi:10.2307/3340496 · Cited by 9,650
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences
Kemp, F. (2003) · Journal of the Royal Statistical Society: Series D (The Statistician) · doi:10.1046/j.1467-9884.2003.t01-2-00383_4.x · Cited by 9,293
Cited by
The Technology–Organization–Environment Framework
Baker, J. (2012) · Integrated Series in Information Systems · doi:10.1007/978-1-4419-6108-2_12 · Cited by 1,275
Digital Innovation as a Fundamental and Powerful Concept in the Information Systems Curriculum1
Fichman, R. G., Dos Santos, B. L., & Zheng, Z. (. (2014) · MIS Quarterly · doi:10.25300/misq/2014/38.2.01 · Cited by 935
Understanding social media effects across seller, retailer, and consumer interactions
Rapp, A., Beitelspacher, L. S., Grewal, D., & Hughes, D. E. (2013) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-013-0326-9 · Cited by 624
Know-how to lead digital transformation: The case of local governments
Pittaway, J. J., & Montazemi, A. R. (2020) · Government Information Quarterly · doi:10.1016/j.giq.2020.101474 · Cited by 289
Ben-Assuli, O. (2015) · Health Policy · doi:10.1016/j.healthpol.2014.11.014 · Cited by 175
Metadata
- Authors
- Angst, C. M., Agarwal, R., Sambamurthy, V., & Kelley, K.
- Venue
- Management Science
- Published
- 2010-08
- Volume
- 56
- Issue
- 8
- Pages
- 1219-1241
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W2152379391
- Cited by
- 313
- References
- 121
- FWCI
- 20.06
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Social Contagion and Information Technology Diffusion: The Adoption of Electronic Medical Records in U.S. Hospitals. https://app.cochat.ai/papers/10.1287/mnsc.1100.1183
- The paper
- Angst, C. M., Agarwal, R., Sambamurthy, V., & Kelley, K. (2010). Social Contagion and Information Technology Diffusion: The Adoption of Electronic Medical Records in U.S. Hospitals. Management Science. https://doi.org/10.1287/mnsc.1100.1183
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.