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First, we estimate a regression model with consumers' intentions to use a health recommendation system as dependent variable and the options in the intermediary, information system, and consumer activity domains as independent variables.
The algorithm proposed by Braga et al. explores the tree of solution traces in breadth-first manner and adopts a complex data structure to keep the intermediary information into the main memory and disk [ 23].
The extent of messenger RNA expression might not be an accurate estimate of the protein level in the cell, and over-activation of a kinase is not captured on the transcript level, nonetheless, mRNA is an intermediary information molecule and its amount in the cell serves as a surrogate for protein expression levels.
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We randomly assigned - 108 graduate and undergraduate students who received a small monetary compensation for participating - to three different options for intermediaries, information systems, and consumer activity control variables, and they evaluated the options in terms of their perceived costs and benefits and their intention to use the health recommendation system for each option.
Trump's oldest son was contacted last June through an intermediary promising information from the Russian government that would "incriminate Hillary and her dealings with Russia".
In contrast, genes involved in intermediary metabolism, information pathways, and cell wall/cell processes were underrepresented among the deleted CDSs.
Options from both the intermediary and information systems domains significantly influence consumers' intention to use a health recommendation system providing support for H1.
We test H1 by determining if the parameter estimates for the different options in the intermediary and information system domains are significant.
The outcome of these models are reported in Table 3, and we find many significant effects of health recommendation system options in the intermediary and information systems domains for each of the four cost-benefit perceptions.
In particular, we investigate if the cost-benefits of perceived effort, privacy risk, usefulness, and enjoyment are also driven by variations in the intermediary and information system domains, and if these cost-benefits in turn mediate the effect of the domain options on consumers' intention to use a health recommendation system.
In an application to personalized nutritional advice, we find empirical support for the hypotheses that the different options in both the intermediary and information systems domains of a health recommendation system influence consumers' intentions to use such as system and that these effects are mediated by consumers' cost-benefit perceptions for effort, privacy risk, usefulness, and enjoyment.
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