Psychologically disadvantaged when using the Internet. For example, cognitive abilities such as memory, speed of information processing, and functional deficits such as visual impairments and dexterity problems commonly affect older adults’ Internet use. Additionally, psychological factors such as concerns about security and privacy and worries about the complexity of finding information, navigating, and using programs can affect the older adults’ intention to use the Internet. Next we look at UTAUT key determinants more specifically. Performance Expectancy: Performance BMS-214662 web Expectancy refers to the extent to which individuals are convinced by the fact that utilizing the system will help them to achieve benefits in the execution of their job. The root constructs under performance expectancyComput Human Behav. Author manuscript; available in PMC 2016 September 01.Author Manuscript Author Manuscript Author Manuscript Author ManuscriptMagsamen-Conrad et al.Pageinclude perceived usefulness (from TAM/TAM2, Combined-TAM and TPB; Davis, 1989; Davis et al., 1989); extrinsic motivation (from MM; Davis et al., 1992); job-fit (from MPCU; Thompson et al., 1991); relative advantage (from IDT; Moore Benbasat, 1991); and outcome expectations (from SCT; Compeau Higgins, 1995). According to Taiwo and Downe’s (2013) meta-analysis of 37 selected empirical studies, the only strong relationship among the four key determinants and behavioral intention (technology adoption) was between performance expectancy and intention. Similarly, Kaba and Tour?(2014) found that performance expectancy positively influenced 1030 social network website users in Africa’s intentions to adopt social networking, but this relationship did not hold when gender and age moderators entered. However, authors acknowledge that more than 90 of the sample was under 28 years old and approximately 50 had been using internet-related technologies for at least four years. They described these individuals as “more technology-ready and BAY 11-7083 side effects sensitive to new trends” and therefore “less likely to be influenced by technology characteristics and referents’ opinions than older users” (p. 1669). Braun (2013a) found that perceived usefulness, a variable similar to performance expectancy, significantly predicted internet-using older adults’ (60?0 years) intentions to use social networking websites. He also suggested that as the age increases, the intention to use social networking sites (SNS) decreases. However, when considered in the context of a more complex model also including frequency of Internet use, SNS trust, and demographic variables such as age, sex, and education, the effect of perceived usefulness on intention was less robust. Braun (2013a) argued that this finding may be attributed to the fact that all the participants were Internet users. Thus, it appears that age affects perceptions about performance expectancy, although these expectations in particular may be affected by user experience. Therefore, we suggest: H1: There will be generational differences in individual perception of performance expectancy. Effort Expectancy: Effort expectancy refers to the level of ease related to the utilization of the system. Its root constructs are perceived ease of use (from TAM, Combined TAM and TPB; Davis, 1989; Davis et al., 1989); complexity (from MPCU; Thompson et al., 1991); and ease of use (from IDT; Moore Benbasat, 1991). Although the effects of effort expectancy on adoption intentions were weak.Psychologically disadvantaged when using the Internet. For example, cognitive abilities such as memory, speed of information processing, and functional deficits such as visual impairments and dexterity problems commonly affect older adults’ Internet use. Additionally, psychological factors such as concerns about security and privacy and worries about the complexity of finding information, navigating, and using programs can affect the older adults’ intention to use the Internet. Next we look at UTAUT key determinants more specifically. Performance Expectancy: Performance expectancy refers to the extent to which individuals are convinced by the fact that utilizing the system will help them to achieve benefits in the execution of their job. The root constructs under performance expectancyComput Human Behav. Author manuscript; available in PMC 2016 September 01.Author Manuscript Author Manuscript Author Manuscript Author ManuscriptMagsamen-Conrad et al.Pageinclude perceived usefulness (from TAM/TAM2, Combined-TAM and TPB; Davis, 1989; Davis et al., 1989); extrinsic motivation (from MM; Davis et al., 1992); job-fit (from MPCU; Thompson et al., 1991); relative advantage (from IDT; Moore Benbasat, 1991); and outcome expectations (from SCT; Compeau Higgins, 1995). According to Taiwo and Downe’s (2013) meta-analysis of 37 selected empirical studies, the only strong relationship among the four key determinants and behavioral intention (technology adoption) was between performance expectancy and intention. Similarly, Kaba and Tour?(2014) found that performance expectancy positively influenced 1030 social network website users in Africa’s intentions to adopt social networking, but this relationship did not hold when gender and age moderators entered. However, authors acknowledge that more than 90 of the sample was under 28 years old and approximately 50 had been using internet-related technologies for at least four years. They described these individuals as “more technology-ready and sensitive to new trends” and therefore “less likely to be influenced by technology characteristics and referents’ opinions than older users” (p. 1669). Braun (2013a) found that perceived usefulness, a variable similar to performance expectancy, significantly predicted internet-using older adults’ (60?0 years) intentions to use social networking websites. He also suggested that as the age increases, the intention to use social networking sites (SNS) decreases. However, when considered in the context of a more complex model also including frequency of Internet use, SNS trust, and demographic variables such as age, sex, and education, the effect of perceived usefulness on intention was less robust. Braun (2013a) argued that this finding may be attributed to the fact that all the participants were Internet users. Thus, it appears that age affects perceptions about performance expectancy, although these expectations in particular may be affected by user experience. Therefore, we suggest: H1: There will be generational differences in individual perception of performance expectancy. Effort Expectancy: Effort expectancy refers to the level of ease related to the utilization of the system. Its root constructs are perceived ease of use (from TAM, Combined TAM and TPB; Davis, 1989; Davis et al., 1989); complexity (from MPCU; Thompson et al., 1991); and ease of use (from IDT; Moore Benbasat, 1991). Although the effects of effort expectancy on adoption intentions were weak.