Sentence examples for model for acceptance from inspiring English sources

Since electronic health records is an emerging application of health information technology in Taiwan, our study is pivoted on the suggestion of Venkatesh et al. [ 15] that the research model for acceptance of information technology could be based jointly on TAM and TPB.

The model was validated extensively using different validation metrics to check the robustness and predictivity of the model for regulatory acceptance and enhancing confidence in QSPR predictions.

Drawing on research in information systems and sociology, this study develops and evaluates an integrated model for the acceptance of OSS.

The athymic nude rat rnu/rnu has been established as an in vivo model for the acceptance of human digestive-tumour xenografts.

Mr. Lopez said he hoped the vote would help erase the stigma of being gay, and offer a model of acceptance for immigrants.

"Emblematic of the strength of JCCs and the important model they represent for acceptance, inclusion, and appreciation for diversity is the remarkable support we have received from communities and community leaders across North America".

Many current models for the acceptance and use of health IT do not explicitly account for the regional or inter-organizational barriers we identified, focusing instead on factors antecedent to an individual users' decision to actually use a technology [ 38, 48].

This paper presents an exploratory study about the development of a structural and measurement model for the technological acceptance (TAM) of a web-based educational tool.

The LDS population provides an ideal model for studying the acceptance of evolution because 78 % of the overall church membership is opposed to evolution (Miller 2008) even though there is no doctrine that openly rejects it.

We propose using allograft transplantation as the therapeutic model for demonstrating how acceptance of an allograft can be achieved by use of apoptotic T cell-mediated immune tolerance.

Therefore, assessing a model's "prediction confidence," defined as the certainty for a prediction, and "domain extrapolation," defined as the prediction accuracy outside the training domain, is a vital step toward defining the application domain of a model for the regulatory acceptance of QSARs.