Effects of trust and perceived risk on user acceptance of a new technology service

Abstract

We explored the precise impacts of trust and perceived risk on the core constructs of the unified theory of acceptance and use of technology (UTAUT). We applied the UTAUT model to the novel context of the Certified e-Document Authority (CeDA) service used in the Republic of Korea. Our results from structural equation modeling largely supported our hypotheses. Trust and perceived risk were shown to be direct antecedents of intention to use, and trust functioned as an indirect antecedent. Performance expectancy and social influence were shown to positively affect behavioral intention. Effort expectancy was also shown to influence performance expectancy. The combination of trust, perceived risk, performance expectancy, effort expectancy, and social influence accounted for 55.3% of the variance observed in users' intention to use CeDA services.Various theoretical models have been used to explain and predict user acceptance of information and communication technology (ICT). The most representative of these models are the technology acceptance model (TAM;

Factors Influencing Compensation Demanded for Environmental Impacts Generated by Different Economic Activities

“…Our results concur with the literature that empirically demonstrates that acceptability is associated with perceived risk and trust in regulatory institutions [4][5][6][7]11,12]. Moreover, there is evidence which shows that, for environmental hazards, both trust in regulatory institutions and perceived risk would determine social acceptability [13,14,70].…”

“…Our results agree with the hypothesis that the classical variables used in the field of risk perception are related to each other [11][12][13][14] and are also related to the compensation demanded. Our results support empirically and theoretically that compensation demanded is suitable to be used in this type of relationship when it comes to environmental impacts.…”

“…Hence, perceived risk, public acceptability and social trust are closely linked [11,12]. There are models in which it is implicitly or explicitly assumed that social trust is a determining factor of public acceptability and risk perceptions [13,14].…”

The impact of risk on the technological acceptance of mobile payment services

“…Perceived risk of the new mobile payment system Finally, as mentioned previously, different research studies have revealed that the perceived risk has a negative influence on attitude (Teo and Liu 2007;Hsu et al 2011) and, of course, on the intention to use (Lorenzo Romero et al 2011;Kesharwani and Bisht 2012;Lee and Song 2013). Miyazaki and Fernandez (2001) state that the online purchase rate is negatively related to risk perception.…”

Supporting 21st-Century Teaching and Learning: The Role of Google Apps for Education

“…Recent research studies have been conducted on technology acceptance and use (e.g., Lee & Lerche, Weinberger, Ceobanu, & Heymann, 2014;Venkatesh, Thong, & Xu, 2012). For example, trust and perceived risk were found to be direct determinants of intention to use a technological tool (Lee & Song, 2013). Additionally, Venkatesh, Thong, and -tion, price, and habit in impacting technology use, which is tailored to the context of consumer adoption and use of technology.…”