### Conceptual Framework and Related Work
#### 1.2.1 Research Stream 1: Personality and Technology Acceptance  
[PERSON] [22] comprehensively reviewed the academic literature to determine the role of personality in information systems research. In total, he identified 30 articles discussing personality in the top eight information systems journals (for details, see [[https://aisnet.org/page/SeniorScholarBasket](https://aisnet.org/page/SeniorScholarBasket)]([https://aisnet.org/page/SeniorScholarBasket](https://aisnet.org/page/SeniorScholarBasket))). A total of 19 articles in some way \"examine technology adoption behavior\" [22] (p. 6), only five of which deal with higher-order traits (e.g., big five or cognitive style which describes the way an individual thinks, perceives, and remembers information). In the present article, we are interested in such higher-order traits. Hence, we analyzed the five studies in this domain in detail. Out of the five studies, only two [11,12] directly address personality in TA, while the other studies have a different focus, such as personality traits and effectiveness of presentation of product information in e-business systems [23, 24, 25]. [PERSON]'s [22] literature review covered papers published until September 2011. Therefore, we also searched for more recent studies in Web of Science (last query: May 11, 2020; \"personality\" AND \"technology acceptance\"; focus: higher-order traits). In addition to the seminal papers by [PERSON] et al. [12] and [PERSON] et al. [11] which were published before 2012, we identified two further  
Figure 1: Conceptual Framework of Literature Review. 1: Research Stream 1 = personality and TA associations; 2: Research Stream 2 = gender differences in TA, 3: Research Stream 3 = gender differences in personality. key papers [10; 13]. In the following, we discuss these four studies which directly deal with the personality-TA relationship from a higher-order trait perspective. [PERSON] et al. [12] tested the effect of personality and cognitive style on different measures of internet use. In essence, the study found that personality explained variation in internet use beyond the traditional measures of computer attitudes. Moreover, it was found that personality predicted internet use better than cognitive style. Further notable results from a personality perspective are reported in this paper. First, it was found that after controlling for computer anxiety, self-efficacy, and gender, personality significantly explained internet use variance in general, and online selling in particular. Second, openness was found to be a significant positive predictor of general internet use. Third, neuroticism was found to be a strong positive predictor of online selling. Altogether, these results provide evidence that personality (using the big five to measure it, but not based on cognitive style) might be an antecedent of internet use decisions. It is important to note that while gender was used as a control variable in this study, neither do the authors report the gender distribution in the sample nor are gender analyses described in the study. Shortly after this 2007 study, [PERSON] et al. [11] investigated the effect of user personality on both the perceived usefulness of technology and subjective norms toward the acceptance and use of technology. Major results of the study are: the relationship between perceived usefulness of technology and intentions to use the technology was stronger for individuals with higher (vs. lower) conscientiousness and the relationship between subjective norms and intentions to use the technology was stronger for individuals with higher (vs. lower) conscientiousness. Moreover, it was found that the relationship between subjective norms and intentions to use the technology was stronger for individuals with higher (vs. lower) extraversion, and the relationship between subjective norms and intentions to use the technology was stronger for individuals with higher (vs. lower) agreeableness.