Internet use has been increasing exponentially day by day depending on technological developments. In connection with this, excessive internet use leads to unhealthy internet use named as internet ...addiction. Recently, it is remarkable that internet addiction and big five-personality traits are closely related. In this framework, the aim of this research is to investigate relations between internet addiction and big five-personality traits. For this purpose, meta-analysis method was used in this research. In line with the aim of the research, 12 studies were included in the meta-analysis and 13 effect sizes were calculated from these researches. As a result of meta-analysis, it was found that all big five-personality traits had a meaningful relation with internet addiction. In this context, it was determined that neuroticism was positively related with internet addiction whereas openness to new experiences, conscientiousness, extraversion and agreeableness were negatively related with it. In consequence, it is considered that big five-personality traits are an important factor in terms of internet addiction.
•Openness negatively associated with internet addiction.•Conscientiousness negatively associated with internet addiction.•Extraversion negatively associated with internet addiction.•Agreeableness negatively associated with internet addiction.•Neuroticism positively associated with internet addiction.
The tourism sector has been deeply ravaged by the COVID-19 pandemic as many individuals abstained entirely from travel. Thus, before contemplating the trajectory of the sector’s recovery, it is ...essential to understand individuals’ travel intentions both during and after the pandemic. The present study contributes in this regard by examining the impact of individuals’ personality traits categorised by the five-factor model, or the Big Five, on their leisure travel intentions during and after the pandemic. To this end, we utilised an artificial neural network (ANN) approach to analyse 500 responses from individuals residing in Japan. The results reveal that extraversion has the strongest relative influence on intentions to travel during the pandemic, whereas openness to experience has the strongest influence on travel intentions after the pandemic. This study is the first of its kind to examine the influence of the Big Five personality traits on travel intentions in the context of a pandemic.
The Metaverse is an immersive virtual universe where users interact with each other using an avatar. The Metaverse is promised to offer numerous opportunities for many sectors. While the Metaverse ...promotes the social interaction between users, there is a scarcity of knowledge on what affects its social sustainability. Hence, this research develops a model by integrating the UTAUT2 constructs and big five personality traits to understand the social sustainability of the Metaverse. The model is tested by employing a hybrid covariance-based structural equation modeling (CB-SEM) and artificial neural network (ANN) approach based on collecting data from 446 Metaverse users. The CB-SEM results showed that performance expectancy, social influence, hedonic motivation, price value, habit, agreeableness, neuroticism, and openness significantly impact the social sustainability of the Metaverse, while no significant effect is reported regarding effort expectancy, facilitating conditions, conscientiousness, and extraversion. All these factors explained 80% of the variance in social sustainability. The ANN results showed that habit is the most important factor in predicting social sustainability. Drawing on these findings, the study offers several theoretical contributions and sheds light on several practical implications for developers, designers, and decision-makers promoting the use of the Metaverse.
•We examine the factors affecting the social sustainability of the Metaverse.•UTAUT2 and big five personality traits were adopted.•Data were collected from Metaverse users and analyzed using SEM-ANN.•Most of the hypothesized relationships were supported.•The factors explained 80% of the variance in social sustainability.
Desire to establish close ties with others but fear of missing out on fulfilling experiences, this phenomenon known as fear of missing out (FoMO) is prevalent in the digital era. Although previous ...research indicated that personality traits, particularly the Big Five, play a crucial role in FoMO, the varied results limited our understanding of their connection. To elucidate this topic further, we performed a meta-analysis including 35 empirical studies (N = 18,964), covering 31 published articles to investigate the relationship between Big Five personality traits and FoMO. We also examined the moderating role of gender, age, and self-construal in the relationship between the two. Our findings revealed that FoMO is significantly positively correlated with neuroticism (r = 0.325) and extraversion (r = 0.061), while significantly negatively correlated with conscientiousness (r = −0.107). However, FoMO exhibited no significant correlation with agreeableness and openness. Furthermore, age and self-construal moderated the association of FoMO with conscientiousness and extraversion; gender did not exert any moderating effect. In summary, the current study found specific associations between different dimensions of the Big Five and FoMO, and the role of certain moderators thereof, which aided in clarifying some unclear issues and advancing future research in this field.
•Extraversion can be predicted from a user’s smart phone data.•The analysis was done on a state-of-the-art dataset with 636 participants.•Traits were classified into low, medium, and high scores with ...an SVM classifier.•The remaining 4 traits could not be classified more accurately than baseline.
Basic personality traits are believed to be expressed in, and predictable from, smart phone data. We investigate the extent of this predictability using data (n = 636) from the Copenhagen Network Study, which to our knowledge is the most extensive study concerning smartphone usage and personality traits. Based on phone usage patterns, earlier studies have reported surprisingly high predictability of all Big Five personality traits. We predict personality trait tertiles (low, medum, high) from a set of behavioral variables extracted from the data, and find that only extraversion can be predicted significantly better (35.6%) than by a null model. Finally, we show that the higher predictabilities in the literature are likely due to overfitting on small datasets.
This study investigates the intricate relationships among personality traits, well-being, and attitudes toward being ridiculed and laughed at in 379 young adults, who are typically sensitive to ...social feedback and peer evaluation. These Taiwanese university students completed the Big Five mini-markers, PhoPhiKat-TC, and Mental Health Continuum Short Form scales. Analysis of the resulting data focused on understanding the mediating effects of the respondents' laughter/ridicule orientations on the relationship between their Big Five traits and well-being. Most of the personality traits were found to be positively correlated with well-being and with gelotophobia, the fear of being laughed at. Extraversion emerged as the preeminent correlate with well-being. In accordance with Seligman's Learned Optimism hypothesis, knowledge of the outcomes of this study could heighten gelotophobes' awareness of their responses to laughter, and thus serve as a foundation for the development and refinement of strategies for their effective navigation of social situations involving laughter/ridicule.
•First study to examine the contribution of the Big 5 personality traits, health anxiety, and COVID-19 psychological distress to generalised anxiety and depressive symptoms.•COVID-19 psychological ...distress predicts generalised anxiety and depressive symptoms beyond all other variables.•Specific personality traits appear to be protective of COVID-19 psychological distress.
In the current study we sought to extend our understanding of vulnerability and protective factors (the Big Five personality traits, health anxiety, and COVID-19 psychological distress) in predicting generalised anxiety and depressive symptoms during the COVID-19 pandemic. Participants (n = 502), who were United States residents, completed a variety of sociodemographic questions and the following questionnaires: Big Five Inventory‐10 (BFI-10), Whitley Index 7 (WI-7), Coronavirus Anxiety Scale (CAS), COVID-19 Anxiety Syndrome Scale (C19-ASS), and Patient Health Questionnaire Anxiety and Depression Scale (PHQ-ADS). Results showed that extraversion, agreeableness, conscientiousness, and openness were negatively correlated with generalised anxiety and depressive symptoms and that neuroticism, health anxiety and both measures of COVID-19 psychological distress were positively correlated with generalised anxiety and depressive symptoms. We used path analysis to determine the pattern of relationships specified by the theoretical model we proposed. Results showed that health anxiety, COVID-19 anxiety, and the COVID-19 anxiety syndrome partially mediated the relationship between the Big Five personality traits and generalised anxiety and depressive symptoms. Specifically, extraversion, agreeableness, and conscientiousness were negatively associated with the three mediators, which, in turn, were positively associated with generalised anxiety and depressive symptoms, with COVID-19 anxiety showing the strongest effect. Conversely, neuroticism and openness were positively associated with COVID-19 anxiety and the COVID-19 anxiety syndrome, respectively. These relationships were independent of age, gender, employment status and risk status. The model accounted for a substantial variance of generalised anxiety and depression symptoms (R2 = .75). The implications of these findings are discussed.
The Big Five personality traits and self-efficacy independently relate to a multitude of outcomes across domains of functioning. Yet, only a small number of studies examined these variables together ...as part of the same conceptual model, and findings are mixed. We revisit their joint relationships, and test three conceptual models of influence on academic performance of college students over a semester. Because of the key role college graduates will play in society, many have a stake in better understanding their performance. The trait model specifies that the Big Five traits influence performance directly and indirectly through partial mediation of self-efficacy. In the independent model, the Big Five traits influence self-efficacy and performance independently, without mediation of self-efficacy. In the intrapersonal model, the effects of the Big Five traits on performance are fully mediated by self-efficacy. We collected data in five samples, three Universities, and two countries, N=875, and conducted a meta-analytic path-analysis. Self-efficacy positively related to academic performance across the models, conscientiousness and emotional stability were predictive of self-efficacy and performance in some analyses, and the significance of the other three traits was fleeting.
•Self-efficacy consistently, positively and directly relates to academic performance.•Conscientiousness and emotional stability relate to performance in some models.•Self-efficacy mediates the Big Five traits effect on performance.
•Gender differences in the influence of personality traits on students’ entrepreneurial career choice are examined.•A sample of 531 students in France is used to test the ...propositions.•Gender-specific combinations of personality traits associated with entrepreneurial intention emerged.•Insights for reducing the gender gap in entrepreneurial career choice are offered to educators in France.
While previous studies have demonstrated the importance of personality traits in the decision to pursue a career in entrepreneurship, more empirical evidence is needed to explain the mechanism through which entrepreneurial intention (EI) is strengthened. Accordingly, espousing a gender-based perspective, the current paper identifies characteristics that positively affect EI in a sample of 531 students in France. A fuzzy-set qualitative comparative analysis is performed yielding four alternate combinations that are likely to lead to high EI, of which two are gender specific. The inherent findings advance previous studies by offering entrepreneurship educators in France and similar contexts a new understanding of entrepreneurial intention from a gender perspective. Similarly, the results offer first-hand evidence to inform university students’ career choices.
Life events refer to status changes in important demographic variables, such as employment or marital status. Life events offer an interesting opportunity for studying transactions between ...environmental changes and personality traits, which are of relevance for diverging theories about the role of environmental factors in life span personality development. Yet in spite of the potential importance of life events for personality development, nuanced and sufficiently powered longitudinal designs with frequent assessments of life events and personality traits are lacking. The current study aims to address this gap by examining the associations between different life events and personality trait change, using data from a large, nationally representative, and prospective longitudinal study. Results demonstrated a number of selection effects, indicating that personality traits affect the likelihood that individuals experience certain types of life events. Less frequently, results indicated average effects of life events on personality trait development, both in anticipation of a life event change as well as resulting from it. However, some of these event-related changes ran counter to the notion that personality maturity increases as a result of adopting mature social roles, like parenthood or paid employment. Furthermore, we found significant variation around average event-related trajectories, suggesting that individuals differ in their reactions to life events. Theoretical implications and recommendations for future research are discussed.
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