Relevance of Technology acceptance model

            According to Bailey & Pearson (1983, p.542), relevance refers to “the degree of congruence between what the user wants or requires and what is provided by the information products and services”. It refers to what the user needs to evaluate a product and the information included in an online review (Lee et al., 2008, p.343). Information relevance is considered to be an important key in decision making process (Dunk, 2004), because it enables the decision maker to directly use the information to solve a given problem, in this case, to resolve a problem of ambiguity and uncertainty when intending to buy a product online (Citrin, 2001, p.33). Madu & Madu (2002) found that Internet users not always read thoroughly the text posted on website; they rather scan it in search for the information they need. Also they prefer to find it fast and without making a big effort (Nah & Davis, 2002). Thus, a message should include relevant arguments in order to be noticed by users. Furthermore, relevance was found to have a significant influence on the information usefulness and information adoption (Cheung et al, 2008, p. 241), which means that the probability that consumers are persuaded by the online review is higher when the information relevance is high (Teng et al., 2014, p.748). Hence, relevance is considered as a crucial factor that may influence the information adoption process and therefore, will be examined in this study.

 Accuracy of Technology acceptance model

        Accuracy is concerned about “the correctness of the output information” (Bailey & Pearson, 1983, p.541). It also refers to the extent the users perceive the information as correct (Wixom & Todd, 2005) as they may be sceptical about certain claims, which can be seen as either right or false (Rabjohn et al., 2008, p.4). It means that if a review presents an information that the user knows to be false, he/she may reject the review. If a review contains a comment that match what the user believes is true, he/she would be more willing to consider the rest of the comment as accurate (Cheung et al., 2008, p.242). Markopoulos & Kephart (2002) stated that reviews including more accurate information, have a greater value to the consumers. Therefore, the more accurate the information is, the more useful information is perceived to be for the consumer. For this reason, we think that accuracy was an important element to be investigated in our study.