An exploration of factors affecting participation in U.S. health information exchange networks : a dual network participation theory based case study.

Network participation in public health : the development of instruments and adapted theory to predict stakeholder participation in a public health network.

“…This proposed causal model is most similar in structure to the one developed for Network Participation Theory (Thornewill, 2011), while the portion of the model which focus on predictors of intent to participate, is most similar to the structure developed for UTAUT (Venkatesh, Morris, Davis, & Davis, 2003). Additionally, network level attributes, identified in NPT (Thornewill, 2011) and through the interorganizational network literature (Provan, Fish, & Sydow, 2007) have been included in the model and positioned to reflect their influence on individual perceptions.…”

“…Additionally, network level attributes, identified in NPT (Thornewill, 2011) and through the interorganizational network literature (Provan, Fish, & Sydow, 2007) have been included in the model and positioned to reflect their influence on individual perceptions. Only one network level attribute has been included in this adapted model, specific to this research-network social structure -which will be tested for a causal link with perceived social influence, and sub sequentially intent to participate.…”

“…The predictors in this adapted model mirror closely those in UTAUT, including: performance expectancy, effort expectancy, social influence, and facilitating conditions. However, as indicated in the work of Thornewill, 2011, with the development of NPT, this model relates performance expectancy as perceived benefits, and effort expectancy as perceived costs. This formulation of naming convention is more consistent with participation, as opposed to use of technology.…”

“…These elements included the individual and organizational moderating factors, as well as attributes of whole networks that affect the predictors of intent to participate; perceived costs, perceived benefits, perceived social influence, and perceived facilitating conditions (Thornewill, 2011). The UTAUT causal model and instrument were central to the development of NPT, but NPT addressed a gap in the literature related to a lack of theory and instrumentation related to predictive value for participation in networks (Thornewill, 2011). UTAUT has been found to be highly predictive of individual adoption of technology in organizational settings (Venkatesh et al, 2003).…”

“…This was hypothesized to be an effective causal link in Health Information Exchanges that also affects individual intent to participate, in Thornewill's Network Participation Theory (Thornewill, 2011). It is from these theories that an adapted theory, applicable to community coalitions and other networks within Public Health, which is adapted to form a causality model for community coalition participation.…”