Seite - 41 - in Critical Issues in Science, Technology and Society Studies - Conference Proceedings of the 17th STS Conference Graz 2018

competence, technology focussed traits such as technical affinity or privacy sensitivity and thirdly app related factors such as app’s reputation, negative experience with apps or app usage. The relevance of certain personality traits and the perceived quality of the experience for the trust relationship with apps has been examined by Yan et al. (2013), who explicitly focus on “trust of mobile applications” (Yan et al. 2013). They find, that both usage time and quality, subsumed under the construct of “using behaviour” and “reflection behaviour” have an influence on “trust behaviour” (Yan et al. 2013, cf. p. 642, 654). Furthermore, they find that both the brand of mobile application (implicating that brands reputation) and user’s personality also have an influence on trust behaviour (Yan et al. 2013, cf. p. 646, 653). Following these findings, we include the factors perceived control, competence, reputation, negative experience and app usage into our research model. Regarding the factor of technical affinity, Weyer et al. (2015) confirm the earlier finding of Venkatesh and Meuter et al. that “system-independent factors, which can be examined which can be examined without observing the practical use of a specific system, may serve as predictors of attitudes such as acceptance.” (Weyer et al. 2015, p. 207). In their survey they use the factor “general attitudes towards technology” (Weyer et al. 2015, p. 206) as a predictor for perceived control. Abstracting from this finding, we integrated these general attitudes under the term of technical affinity into our research model. Schelewsky et al. (2014) also confirm the effect of technical affinity and refer to interaction effects between technical affinity and privacy sensitivity (cf. Schelewsky et al. 2014, p. 94f.). In this context they also find, that both factors affect the acceptance of technology (cf. ibid). Therefore, we also included the factor privacy sensitivity into our research model. Summarizing the theoretical foundation of our study one has to point out, that we focussed on previous research concerning human-machine interaction as well as technology acceptance. We then established a research model following the “TAPAS”1 (Windrum et al. 2007, p. 13) approach. For this reason, we also focussed on previous research including similar models and hence methodological comparability. Hypotheses Regarding our core model, we postulate that trust, measured by trust in privacy and trust in providers, has a significant and positive influence on the intention to change behaviour as well as the perceived usefulness. Likewise, we assume that the perceived ease of use has a significant and positive influence on trust. Thus the core hypotheses of the study are as follows: H1: The more trusting a person is,... H1.1 ...the bigger is the willingness to change one’s own behaviour. H1.2 ...the bigger is their perceived usefulness of apps. H2: The bigger the perceived ease of use, the bigger is one’s trust. Regarding the external factors, we assume that technical affinity, perceived control competence, reputation and app usage have a significantly positive influence on all factors of the core model. 1 „Take A Previous model and Add Something“ Windrum et al. 2007, p. 13. 41