Construction project managers (CPMs) with different types of personalities make various assessments in risky situations and draw up different risk management strategies. This research presents the ...findings of an empirical study in China that investigated whether and how CPMs with different personality traits differed in the way they perceived project risk. A conceptual model was developed and four hypotheses were proposed concerning the relationships among personality traits, risk propensity, and risk perception using the Big Five personality model. The Partial Least Squares Structural Equation Modeling analyses of a sample of 152 imply that 1) Extraversion, Agreeableness, and Conscientiousness significantly influence risk propensity; 2) risk propensity negatively affects risk perception; 3) Extraversion, Agreeableness, and Conscientiousness have significant effects on risk perception; and 4) risk propensity fully mediates the relationship between personality traits and risk perception. The results were complemented by qualitative evidence from 5 semi-structured interviews with project managers. This research contributes to a better understanding of how CPMs perceive risk.
•We model the process of how construction project managers (CPMs) perceive risk.•We explore whether CPMs of different personalities differ in ways perceiving risk.•Extraversion, Agreeableness, and Conscientiousness influence risk propensity.•Extraversion, Agreeableness, and Conscientiousness influence risk perception.•Risk propensity plays fully a mediating role between personalities and perception.
Career selection is one of the most important decisions every person faces in their life. Finding the right career path can be a complicated task, particularly in choosing careers with similarly ...required proficiencies. One of the critical factors affecting a person's career success is their personality, and taking account of this factor is of paramount importance. This study uses the NEO-FFI questionnaire to find personality patterns of software engineering and data science experts based on the Big Five personality traits: Neuroticism, extraversion, openness to experience, agreeableness, and conscientiousness. Afterward, an ANFIS (Adaptive Network-Based Inference System) is conducted using the experts' personality data to match the participants of these fields with their corresponding choices. This study demonstrated that data scientists and software engineers score higher in conscientiousness and agreeableness, respectively. Also, data experts have higher scores in all traits overall. In the end, the ANFIS is tested with another similar dataset and the prediction accuracy of the model is measured.
•This study uses the NEO-FFI questionnaire to identify personality patterns in software engineering and data science experts.•Adaptive Network-Based Inference System models to match participants in these fields with their corresponding choices.•Data scientists and software engineers score higher in conscientiousness and agreeableness, respectively.•Data experts have higher scores in all traits overall.•The ANFIS is tested with another similar dataset and the prediction accuracy of the model is measured.
Advances in digital technology have put music libraries at people’s fingertips, giving them immediate access to more music than ever before. Here we overcome limitations of prior research by ...leveraging ecologically valid streaming data: 17.6 million songs and over 662,000 hr of music listened to by 5,808 Spotify users spanning a 3-month period. Building on interactionist theories, we investigated the link between personality traits and music listening behavior, described by an extensive set of 211 mood, genre, demographic, and behavioral metrics. Findings from machine learning showed that the Big Five personality traits are predicted by musical preferences and habitual listening behaviors with moderate to high accuracy. Importantly, our work contrasts a recent self-report-based meta-analysis, which suggested that personality traits play only a small role in musical preferences; rather, we show with big data and advanced machine learning methods that personality is indeed important and warrants continued rigorous investigation.
Instagram and other photo-based social networking sites have emerged as a popular medium. Previous studies mainly focused on social media texts, but the current study deals with the relationships ...between the characteristics of Instagram users and the features of their photos. The Big Five personality traits and gender were employed as the variables for user characteristics. Content category, the number of faces, the emotions on the faces, and the pixel derived features were employed as the variables for photo characteristics. An online survey of 179 university students was conducted to measure user characteristics, and 25,394 photos in total were downloaded and analyzed from the respondents’ Instagram accounts. Results suggested that content category is associated with extraversion and gender of users. The number of faces is associated with extraversion, agreeableness, and openness of users. Extraversion, agreeableness, and openness of users were partly associated with emotions expressed on the faces in their photos. Correlations were observed among some pixel features and extraversion, agreeableness, conscientiousness, and gender of users. It was also observed that the Big Five personality traits, except for gender, can be predicted by above variables. Implications and limitations are discussed and suggestions for future research are suggested.
This research examined whether employees' personal belief in a just world (BJW) is associated with their organisational loyalty and whether this relationship is statistically mediated by ...organisational trust. To test these hypotheses, we conducted two studies with employees from China (study 1, N = 314) and Germany (study 2, N = 189). The results from both studies supported the proposed model. In addition, study 2 revealed that the relationship between BJW and organisational loyalty persisted when controlling for global personality traits. These suggest that managers and organisations may increase employees' loyalty by providing an environment that fosters their sense of justice and trust.
This qualitative study aimed to identify mental health hazards in the offshore oil and gas industry, as well as the role of the personality types of the Five Factor Model (FFM) in coping with these ...stressors. A focus group with 8 participants and a pilot study with 5 participants were conducted. Results showed that several stressors are currently present for Australian offshore oil and gas employees, in particular COVID-19 and the resulting negative effects on rosters, working hours, job security and time spent away from home. Other stressors revealed by participants were lack of space, working in a high-risk environment, stigma, helicopter travel and pressure to keep up with production. Poor safety behaviours were associated with neuroticism, extraversion and openness, while risk avoidance appear to be associated with agreeableness and conscientiousness. Tolerance to shift work was positively related to extraversion, yet negatively associated to neuroticism. Furthermore, neuroticism showed a negative association with help-seeking and productivity, as well as higher levels of concern relating to COVID-19 and job uncertainty. As personality traits are enduring throughout life, it is vital that employees are managed effectively through workplace interventions so that they are able to cope effectively, particularly during stressful events.
•COVID-19 has had a major impact on the mental health of Australian offshore oil and gas workers, particularly concerning rosters, time away from home and job security.•Big 5 personality traits are associated with safety behaviours and risk avoidance.•The literature review, focus group and pilot study results lend fresh insights in the field of offshore work and provide a foundation for future research.
Dichotomous thinking is a feature of certain personality traits, such as the Dark Triad and Cluster B personality disorders, which commonly reflect a fast life history strategy. The Big Five and ...HEXACO personality models are useful for understanding the personality structure and individual differences in life history strategy. Our study aimed to shed light on the propensity for dichotomous thinking using the framework of the Big Five and HEXACO personality models. Participants (n = 229) completed the Dichotomous Thinking Inventory, the 60‐item HEXACO Personality Inventory – Revised, and the Ten‐Item Personality Inventory. We examined correlations between dichotomous thinking and each domain of the Big Five and HEXACO personality models, and then computed multiple correlations predicting total and dimensional scores on the propensity for dichotomous thinking with scores on the Big Five and HEXACO personality traits. Results indicated that dichotomous thinking tendency is characterized by the set of low Agreeableness and Honesty–Humility. This study suggests that dichotomous thinking has antagonistic characteristics and a linkage to the fast life history strategy.
cAlohol affects how people think, feel, and behave, and how they perceive the physical and social world around them. But does alcohol also influence how people perceive themselves? Past work points ...to a number of possibilities, suggesting intoxication could lead to positive biases, to negative biases, or have no effects on self-assessments at all. Here we tested whether alcoholic intoxication affects self-assessments of personality within the Big Five personality framework. We hypothesized that intoxicated participants would see themselves more positively than non-intoxicated individuals would. We conducted a preregistered laboratory experiment on participants divided into three groups: alcohol intoxication (
n
= 106), placebo (
n
= 114), and control conditions (
n
= 109). Contrary to predictions, we found no differences in self-assessments of personality across conditions. Findings point to the possibility that self-assessments of personality may be too stable to be affected by the momentary changes in thoughts and feelings caused by alcoholic intoxication.
This article examines the foundations of democratic citizenship along three dimensions: generalised trust in other people; norms of citizenship; and participation in organisations. Contrary to ...previous research, which mainly focuses on situational factors, this article scrutinises how individual predispositions, in terms of personality traits, influence the three dimensions of democratic citizenship. In accordance with recent research, personality is conceptualised according to the Big Five personality model encompassing the five traits Openness (to experience), Conscientiousness, Extraversion, Agreeableness and Neuroticism. Based on a nationally representative Danish survey, which includes a 60-item Big Five personality inventory, we show that personality traits to a considerable extent influence all three dimensions of democratic citizenship. Furthermore, for norms of citizenship and organisational involvement, the personality traits have differential impacts contingent on the norm and type of organisational involvement in question.
PDF
