Personality and technology: Big five personality traits as descriptors of universal acceptance and usage of technology UTAUT.

Presently, information professionals are progressively dependent on information and communication technologies to complete their everyday tasks. As, result dependence on PC frameworks, programming and data innovation-related technologies are increasing for better working and providing quality services. Therefore, to understand, analyze and evaluate the acceptance and use of this technology several models of technology acceptance and use have been formulated in information science literature. Using eight such models, Venkatesh, Morris, Davis and Davis proposed a unified model called the Unified Theory of Acceptance and Use of Technology or (UTAUT) model. The UTAUT model has been studied and analyzed in various spheres including education, banking, health, tourism, e-government services and its recent application in the personality studies. The application of UTAUT model to the core constructs of big five personality traits have been utilized to predict the adoption and usage of technology according to different personality types such as neurotic, open to experience, extravert, conscientious and agreeabl

How HEXACO personality traits predict different selfie-posting behaviors among adolescents and young adults

Selfies are usually defined as self-portrait photos shared on social networks. Recent studies investigated how personality traits, and specifically narcissism, can be associated to different kinds of selfies. The HEXACO model, a new theory on personality structure, investigates personality on six dimensions, among which there is the Honesty/Humility trait, found strongly and negatively associated to narcissism. Thus, this study aims to investigate how different kinds of selfies could be predicted by HEXACO personality traits, controlling for age, gender and sexual orientation. Participants were 750 adolescents and young adults (59.1% girls, N = 443) from 13 to 30 years (Mage = 20.96; SDage = 4.23) who completed an online survey composed by the Kinsey scale, three questions about the frequency of different kinds of selfies (i.e. own selfies, group selfies and selfies with partner) and 60-item Hexaco Personality Inventory-Revised. Results showed that females, adolescents and not- exclusively heterosexuals posted more own selfies, and that adolescents posted also more group selfies and selfies with partner. Moreover lower Honesty/Humility, lower Conscientiousness, higher Emotionality and higher Extraversion significantly predict both own selfies and group selfies. Finally, only lower Honesty/Humility and higher Emotionality predict selfies with partner. Results suggested a common pattern of personality traits that can explain selfies behaviors according to literature on HEXACO model. Specifically, these findings enlightened that Honesty/Humility and Emotionality traits seem to be relevant in understanding selfies. People who post more selfies are lower in Honesty/Humility, showing a strong sense of self-importance and feeling superior. Moreover, they show higher Emotionality that is related to looking for social reinforcement on social networks. Only for own and group selfies, people high in Extraversion probably feel self-confident in groups, also in the online dimension, and low extraverted people probably posted less frequently because they feel uncomfortable being at the center of attention. Finally, people with high Conscientiousness spend less time online because they consider social networks as a distraction from their tasks. Thus, HEXACO model allows to better understand which personality traits can predict different kinds of selfies. Limitations and implications for future research are discussed

Development and Maintenance of Self-Disclosure on Facebook: The Role of Personality Traits

This study explored the relationships between Facebook self-disclosure and personality traits in a sample of Italian users. The aim was to analyze the predictive role of Big Five personality traits on different parameters of breadth and depth of selfdisclosed behaviors online. Facebook users, aged between 18 and 64 years of age (Mage = 25.3 years, SD = 6.8; N = 958), of which 51% were female, voluntarily completed an online survey assessing personality traits and Facebook self-disclosure. Results at a series of hierarchical regression analyses significantly corroborated the hypotheses that high extroverted and openness people tend to disclose on Facebook a significant amount of personal information, whereas high consciousness and agreeableness users are less inclined to do it. Furthermore, more extroverts and agreeableness people develop less intimacy on Facebook, differently from those with high levels of openness. Results also corroborated the hypothesis of a full mediation of time usage in the relationship between personality factors such as extroversion and conscientiousness with breadth of Facebook self-disclosure. Overall, according to the findings of the current study, personality traits and Facebook self-disclosure become central both as predictive variables for depicting the different profiles of potential addicted and as variables to help educators, teachers, and clinicians to develop training or therapeutic programs aimed at preventing the risk of Internet addiction. Limitations of the study are discussed, and directions for future research are suggested

Influence of Personality Traits on the Continued Use of Fitness Apps

While fitness apps show promise to improve people’s health and well-being, studies have indicated a high dropout rate among their users. This study uses the expectation confirmation model (ECM) to examine post-adoption factors affecting continued use or dropout among users of fitness apps, with a specific focus on the impact of users’ personality traits (the “big five” traits) on the ECM model variables. We present our theoretical model and the results of our survey with 129 participants. We confirm that satisfaction, perceived usefulness, and confirmation of expectations resulting from use of fitness apps influence the continued use of the apps. Moreover, we show that conscientiousness and neuroticism, as traits, positively influence perceived usefulness. This study increases our understanding of the factors impacting continued use of fitness app

Digital divide at individual level : evidence for eastern and western european countries

Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and ManagementThe current study explores the digital divide by checking the phenomenon at the individual level. It digs into the individual pattern of adoption and use of a broad set of information and communications technologies (ICTs) by introducing a conceptual model combining the extended unified theory of acceptance and use of technology (UTAUT2) and the five-factor model of personality. Therefore, it provides insights on factors affecting technology adoption and the role of personality on individual usage behavior. Most of the UTAUT2 hypotheses are supported, with performance expectancy being the strongest predictor. Openness is a significant predictor of behavioral intention, whereas for usage behavior the significant personality predictors are openness, extraversion and agreeableness. Moreover, as data was collected in Bulgaria and Portugal, a multi-group analysis revealed significant country differences. The effect of performance expectancy, habit, agreeableness and neuroticism on behavioral intention, as well as the effect of age on usage, are stronger for Bulgaria, whereas the effect of hedonic motivation on behavioral intention and the effect of behavioral intention on usage are stronger for Portugal

Evidence for Eastern and Western European countries

Chipeva, P., Cruz-Jesus, F., Oliveira, T., & Irani, Z. (2018). Digital divide at individual level: Evidence for Eastern and Western European countries. Government Information Quarterly, 35(3), 460-479. DOI: 10.1016/j.giq.2018.06.003The current study explores the digital divide by checking the phenomenon at the individual level. It digs into the individual pattern of adoption and use of a broad set of information and communications technologies (ICT) by introducing a conceptual model combining the extended unified theory of acceptance and use of technology (UTAUT2) and the five-factor model of personality. By doing so it provides insights on factors affecting technology adoption and the role of personality on individual usage behavior. Most of the UTAUT2 hypotheses are supported, with performance expectancy being the strongest predictor. Openness is a significant predictor of behavioral intention, whereas for usage behavior the significant personality predictors are openness, extraversion, and agreeableness. Moreover, as data were collected in Bulgaria and Portugal, a multi-group analysis revealed significant country differences. The effect of performance expectancy, habit, agreeableness, and neuroticism on behavioral intention, as well as the effect of age on usage, are stronger for Bulgaria, whereas the effect of hedonic motivation on behavioral intention and the effect of behavioral intention on usage are stronger for Portugal.authorsversionpublishe

The Influence of Cognitive Factors and Personality Traits on Mobile Device User\u27s Information Security Behavior

As individuals have become more dependent on mobile devices to communicate, to seek information, and to conduct business, their susceptibility to various threats to information security has also increased. Research has consistently shown that a user’s intention is a significant antecedent of information security behavior. Although research on user’s intention has expanded in the last few years, not enough is known about how cognitive factors and personality traits impact the adoption and use of mobile device security technologies. The purpose of this research was to empirically investigate the influence of cognitive factors and personality traits on mobile device user’s intention in regard to mobile device security technologies. A conceptual model was developed by combining constructs from both the Protection Motivation Theory (PMT) and the Big Five Factor Personality Traits. The data was collected using a web-based survey according to specific inclusion and exclusion criteria. Respondents were limited to adults 18 years or older who have been using their mobile devices to access the internet for at least one year. The Partial Least Square Structural Equation Modeling (PLS-SEM) was used to analyze the data gathered from a total of 356 responses received. The findings of this study show that perceived threat severity, perceived threat susceptibility, perceived response costs, response efficacy, and mobile self-efficacy have a significant positive effect on user’s intention. In particular, mobile self-efficacy had the strongest effect on the intention to use mobile device security technologies. Most of the personality traits factors were not found significant, except for conscientiousness. The user’s intention to use mobile device security technologies was found to have a significant effect on the actual usage of mobile device security technologies. Hence, the results support the suitability of the PMT and personality factors in the mobile device security technologies context. This study has contributed to information security research by providing empirical results on factors that influence the use of mobile device security technologies