INNOVATION AND DIFFUSION OF MEDICAL TREATMENT

Author(s):  
Barton H. Hamilton ◽  
Andrés Hincapié ◽  
Robert A. Miller ◽  
Nicholas W. Papageorge
2018 ◽  
Author(s):  
Barton Hamilton ◽  
Andrés Hincapié ◽  
Robert Miller ◽  
Nicholas Papageorge

2006 ◽  
Vol 28 (1) ◽  
pp. 1-24 ◽  
Author(s):  
Michael K. McLendon ◽  
James C. Hearn ◽  
Russ Deaton

Employing a theoretical framework derived from the policy innovation and diffusion literature, this research examines how variations over time and across state sociopolitical systems influence states’ adoption of accountability policies in higher education. Specifically, factors influencing the adoption of three kinds of performance-accountability policies for public higher education in the period 1979–2002 were investigated. Findings from the event history analysis supported the authors’ original hypotheses only in part; the primary drivers of policy adoption were legislative party strength and higher-education governance arrangements, but the direction of these influences varied across the policies studied.


Author(s):  
J. Roland Ortt ◽  
Tineke Mirjam Egyedi

This chapter underscores the importance of timing by focusing on the effect of pre-existing standards and regulations on the innovation and diffusion of new high-tech product innovations. The effect is assessed in terms of the time interval between the invention of a technological principle and the introduction of the first marketable product (development phase), and the successive time interval up to the start of large-scale industrial production and diffusion (adaptation phase). Fifty heterogeneous cases of new high-tech product innovations from 1850 onward are analysed. Results indicate that pre-existing standards and regulations significantly shorten the adaptation phase, an effect not found for the development phase. The shortening effect on the adaptation phase is particularly evident for more radical innovations and for innovations that are more interrelated with a larger technological system. This accelerating effect on the diffusion of innovations is highly relevant for innovation managers and policy makers alike.


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