Innovation diffusion among coworkers: evidence from senior doctors
File(s)
Accepted version
Supporting information
Author(s)
Barrenho, Eliana
Gautier, Eric
Miraldo, Marisa
Propper, Carol
Rose, Christiern
Type
Journal Article
Abstract
Using a novel 15-year data set on surgeon adoption of a complex surgical innovation in the English National Health Service and an identification strategy based on surgeon mobility, this paper disentangles three channels of coworker influence on innovation diffusion: (1) peer network size, (2) influential “key players,” and (3) cumulative peer adoption. We find that a one standard deviation in peer connections boost innovation by 16%. Key players can either amplify or dampen diffusion, and peer adoption has a greater impact on less experienced individuals. These results highlight the value of targeting training to high impact network members to speed up diffusion. This work advances our understanding of how professional networks shape innovation diffusion, with implications for technology implementation.
Date Issued
2025-10-01
Date Acceptance
2024-06-05
Citation
Management Science, 2025, 71 (10), pp.8109-8126
ISSN
0025-1909
Publisher
Institute for Operations Research and Management Sciences
Start Page
8109
End Page
8126
Journal / Book Title
Management Science
Volume
71
Issue
10
Copyright Statement
Copyright © 2025, INFORMS. This is the author’s accepted manuscript made available under a CC-BY licence in accordance with Imperial’s Research Publications Open Access policy (www.imperial.ac.uk/oa-policy)
License URL
Publication Status
Published
Date Publish Online
2025-01-20