The overall analysis of the experience showed that only moderate effort, around one person month, was required for structuring software development as a service guided by a reference model and that perceived benefits were obtained in terms of quality, productivity, and customer satisfaction.
The objectives were to define: the effect of different operating conditions and appropriate background variables of subjects on perceived motions; the development of model that describes perceived discomfort as a function of measured vibrations; and important frequencies for prediction of vibration discomfort.
Digital innovation is defined by Fichman et al. (2014) as a "product, process, or business model that is perceived as new, requires some significant changes on the part of adopters, and is embodied in or enabled by IT".
In model 1, findings show that perceived self-expression and productivity (PU1) and overall usefulness (PU2) are major determinants of usage behavior.
Nonetheless, that perceived risk was not significant in the model suggests that even those individuals who perceived higher risk may not have seen the GERA test as valuable to them, perhaps because they already recognized that they were higher risk, or because the GERA test did not quantify risk, but only reported risk qualitatively as elevated or not elevated.
We can see that perceived feasibility corresponds quite well with perceived behavioral control in Ajzen's TPB model.
The empirical examination of the research model using structural equations modeling indicates that perceived effectiveness is influenced by perceived information accuracy and effort, and in turn, has positive impact on satisfaction in using Web-based DSS.
A logistic regression model indicates that perceived need and perceived safety are significant factors associated with being a frequent smartphone phone calls user, but only perceived need significantly predicts being a frequent texting user.
Their model suggests that perceived usefulness, perceived ease of use and the perceived threat of HIT are major determinants of behavioral intention.
The data-derived model confirmed that perceived stress mediated the relationships between hours of care, gender, and depression, while depression was the mediator between perceived stress and other outcome variables (physical function, self-esteem, and marital satisfaction).
