Conscientiousness Research Articles

Research on the Antecedents of Data Privacy Concern Toward Intelligent Connected Vehicles

Depending on Internet of Vehicle (IoV) and on-board units in 5 G, intelligent connected vehicles (ICVs) gradually become the digital infrastructure and data hub to provide personalized in-vehicle infotainment (IVI), which naturally collect, use, and share the data related to users’ bio-informatics, travel patterns, and usage habits. The privacy concern (PC) will be generated when using those data services. In this article, we construct the structural equation model (SEM) to study the influencing factors of users’ PC and self-disclosure behavior (SD) regarding to ICV data services from the personality traits (PTs) perspective. A total of 481 valid questionnaires from 700 IVI users was collected. Results show that extraversion (EXT), conscientiousness (CNS), neuroticism (NEUR), privacy invasion experience (PIE), and privacy self-efficacy (PE) have significant impacts on PC. Besides, PC does not directly affect SD, but is indirectly affected by limiting profile visibility (LPV). Through revealing the relationship among PTs, PC and SD toward ICV data services, we aim to provide insights for vehicle data governance to facilitate the human-vehicle interaction.

Personality traits and the use of performance information: enthusiastic and diligent public managers

Drawing on a survey of 385 municipal public managers in Italy, this article investigates the potential association between managers’ personality traits and their use of performance information. Using partial least squares structural equation modeling (PLS-SEM), the results show that cons cientiousness, extraversion, and openness emerge as relevant personality traits that help explain public managers’ use of performance information. Moreover, the study points to the presence of two distinct groups of users of performance information, which we label “enthusiastic” and “diligent” managers. For “enthusiastic managers”, performance information use is mainly associated with extraversion and openness, while for “diligent managers”, conscientiousness and agreeableness drive its use. Implications for the theory and practice of performance management are discussed.

Validation and testing of a measurement model for the assessment of agripreneurial competencies

PurposeThis article aims to develop a measurement scale for assessing agripreneurial competencies relevant to emerging economies in alignment with the SDG2 of the UN Sustainable Development Goals 2030.Design/methodology/approachThe scale development procedure includes item development and refinement, data collection, reliability and validity tests and scale purification with exploratory factor analysis (EFA) and confirmatory factor analysis (CFA).FindingsThe validated scale carries eight dimensions of competencies: Agreeableness (AG), Technological Competency (TC), Competitive Spirit (CS), Innovativeness (IN), Self-Confidence (SC), Social Responsibility (SR), Conscientiousness (CO) and Leadership (LS). The analysis puts forth a good and fit model, and the new scale reports sufficient convergent and discriminant validity.Research limitations/implicationsThis study is focused on the agripreneurial competencies of individual agripreneurs; institutional agripreneurs are excluded from the study.Social implicationsIdentifying prominent agripreneurs using the scale developed from this study will aid in allocating various government and non-governmental organisations' assistance to agripreneurs. Since developing economies rely heavily on agriculture, any positive contribution can help alleviate poor economic growth, end hunger, and promote sustainable agriculture (SDG 2 of 2030).Originality/valueThough several scales for measuring entrepreneurial competencies are available, there is no standard scale to measure agripreneurial competencies. This article presents the development and validation of a measurement scale to assess the major competencies of agripreneurs that influence agripreneurship performance.

Mathematical model for analysis of the relationship between personality traits and psychological biases of individual investors

The study is focused on certain personality traits that are significantly associated with investors’ biases. The study attempts to develop a more comprehensive mathematical model that covers a wider range of behavioral aspects related to individual investors The proposed Mathematical model can be used to better understand the major behavioral dimensions that need to be considered for investment decisions in the stock market In this study, a Partial Least Square Structural Equation Modelling (PLS-SEM) is used to quantify the association between major personality traits i.e. Agreeableness (AG), Conscientiousness (CO), Extroversion (EX) Neuroticism (NE), and Openness (OP) and major psychological biases such as Herding (HE), Overconfidence (OC), Representativeness (RP), and Anchoring (AN) in the stock market. The model is based on a survey of 467 individual investors, who provided information on their personality traits and psychological biases. The regression analysis was done to examine the relationship between personality traits, and psychological biases. Further, the explanatory power and predictive relevance of the model are tested using R2, Q2, and RMSE.

The Role of Perceived Ease of Use and Perceived Usefulness on Personality Traits among Adults

It has been suggested that individuals’ technology acceptance are affected by personality traits. This paper aims to emphasise the importance of personality traits beyond BIG 5 on the acceptance and individual usage of Cloud Computing Systems (CCSs) with Perceived Ease of Use (PEU) and Perceived Usefulness (PU). Based on this, a quantitative cross-sectional survey research was designed, and 722 students studying at Sakarya University, Pedagogical Training Certification Program in the academic year of 2016–2017 were involved to the study. A path analysis which is a structural equation model was performed to examine the direct and indirect effects of the variables that are theoretically interrelated in the study. According to the results, while Extroversion (EXT), Agreeableness (AGR), Conscientiousness (CONS), and OE are not predictors of PEU and PU components, Nervousness (NEUR), is a significant predictor of PEU in the model. In addition to this, behavioural intention (BI) is significantly predicted by both PU and PEU, and PEU is a significant predictor of PU and BI on the individual usage of CCSs.

Personality traits and conflict management styles: building the relationship through leadership effectiveness

PurposeThe present study examines the relationship between personality traits (PTs) and conflict management styles (CMSs) directly and indirectly through leadership effectiveness (LE) in Pakistan.Design/methodology/approachThis quantitative study employs a survey questionnaire to collect cross-sectional data from academic leaders of higher education institutes (HEIs) in Pakistan. The authors utilized 325 useable cases to conclude the results.FindingsThe findings through the structural equation model (SEM) resulted in a positive and significant effect of agreeableness (AGS) on integrating (ITG), avoiding (AVG), obliging (OBG), compromising (COG) and dominating (DOG) styles. Extraversion (EXN) positively and significantly affects ITG, OBG, DOG and COG. Emotional stability (EMSY) is a positive and significant predictor of ITG, AVG, OBG and COG. The conscientiousness (CNS) trait significantly and positively predicts ITG, OBG, DOG, COG and AVG. Likewise, openness (OPS) positively and significantly affects ITG, OBG, DOG and COG styles. On the other hand, EXN and OPS negatively and insignificantly affect AVG. Finally, EMSY is the negative and insignificant predictor of DOG among academic leaders.Practical implicationsThis study offers additional insights into understanding direct and indirect connections between PTs and CMSs through EL. It would support the development of effective policies and organizational setup to resolve and manage conflict and employees' behaviour. Finally, the findings would further enrich the worth of literature through another empirical confirmation.Originality/valueThis study offers the original contribution of PTs and CMSs among academic leaders in HEIs of Pakistan.

Big Data Analysis of Facebook Users Personality Reconition using Map Reduce Back Propagation Neural Networks

Machine learning has been an effective tool to connect networks of enormous information for predicting personality. Identification of personality-related indicators encrypted in Facebook profiles and activities are of special concern in most research efforts. This research modeled user personality based on set of features extracted from the Facebook data using Map-Reduce Back Propagation Neural Network (MRBPNN). The performance of the MRBPNN classification model was evaluated in terms of five basic personality dimensions: Extraversion (EXT), Agreeableness (AGR), Conscientiousness (CON), Neuroticism (NEU), and Openness to Experience (OPN) using True positive, False Positive, accuracy, precision and F-measure as metrics at the threshold value of 0.32. The experimental results reveal that MRBPNN model has accuracy of 91.40%, 93.89%, 91.33%, 90.43% and 89.13% CON, OPN, EXT, NEU and AGR respectively for personality recognition which is more computationally efficient than Back Propagation Neural Network (BPNN) and Support Vector Machine (SVM). Therefore, personality recognition based on MRBPNN would produce a reliable prediction system for various personality traits with data having a very large instance. Keywords— Machine learning, Facebook, MRBPNN, Personality Recognition, Neuroticism, Agreeableness.

Relationship between Project Managers Personality and Small Public Construction Project Success in Malaysia

In the field of project management, particularly the construction industry in Malaysia, there are two key factors in determining the progress of a project, namely technical and non-technical skills. Accordingly, this study aims to explore the personality (non-technical skills) among Malaysian project managers on the success of small public construction projects. Using the Five Factor Theory (FFT) as a basis, this study uses two sets of measuring instruments for examining project manager’s personality and project success, the Big Five Inventory (BFI) and the Project Success Achieved (PSA). The questionnaire was distributed to two major organizations in Malaysia, the Implementation Coordination Unit, Prime Minister’s Department (ICU JPM) and Ministry of Rural Development (KPLB), which involved 137 project managers. The obtained data were analyzed using PLS-SEM and results indicate that the project manager’s personality has a significant impact on the success of SPCP where Conscientiousness (CT) and Agreeableness (AG) had a more prominent influence compared to other traits. This study provides theoretically meaningful relationships and valuable insights into construction management via personality element to ensure that national development objectives are achieved.

Project manager personality traits towards project success: Moderated role of working experience in perspectives of small public construction projects in Malaysia

Project success requires organisations and project managers to change strategies to satisfy stakeholders. Research into project success needs comprehensive analysis and approaches in various contexts, especially touching on non-technical skills (personality). This study aims to focus on examining the association of Project Manager Personality Traits (PMPTs) to the success of Small Public Construction Projects (SPCPs) and moderated by working experience. A survey was carried out to collect data using a structured Big Five Inventory (BFI) and Project Success Achieved Instrument (PSAI) questionnaire. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used on a sample of 137 respondents for hypotheses testing and moderation effect analysis. Results show that PMPTs had a positive impact on the success of SPCPs. Conscientiousness (CT) and Agreeableness (AG) traits influence were more prominent when compared with other traits. While working experience does not moderate the relationship between PMPTs and the success of SPCPs. This study reflected the theoretical research of personality traits and their impact on the construction management industry. There have been limited studies of project success in the relationship with the BFI in the past, especially in the SPCPs context. The present study provides a basis for researchers interested in this area to examine further the use of BFI and PSAI as resources in other industries. Practically these findings may enable government or authorities to better align and suit project managers and their assigned project-based levels, where project managers are located in ministries overseeing small-scale projects. This study contributes theoretically to SPCPs literature by offering insights into project manager personality affecting project success and focus on selected agency in Malaysia.

Dream recording frequency in psychology students

Previous research has indicated that dream recording frequency is associated with openness to experience and also low conscientiousness. Although psychology students are likely to be interested in topics like dreaming, systematic studies about their dream recording behavior have not been carried out. In this analysis, the dream recording frequencies of 409 psychology students was compared to the dream recording frequencies of a population-based sample (N = 1742) using the same 8-point rating scale. The findings indicated that psychology students record their dreams more often than the population-based survey participants – differences in dream recall frequency were statistically controlled. From a methodological viewpoint, dream researchers have to be careful when generalizing their findings based on samples of dream journalists who show specific trait characteristics that are different compared to the general population. From a theoretical viewpoint, it would be interesting to learn more about the motives as to why individuals keep dream journals.

Profesyonel Turist Rehberlerinin Kişilik Özellikleri İle Sundukları Hizmet Kalitesi Arasındaki İlişki

Turist rehberlerinin birer turizm temsilcisi olarak turistlerin memnuniyet algısı ve yeniden ziyaret etme niyeti üzerindeki etkisinin fark edilmesiyle beraber mesleğe yönelik yapılan araştırmalar ve bu alana yönelik geliştirme faaliyetleri artmıştır. Araştırmanın amacı profesyonel turist rehberlerinin kişilik özellikleri ile sergiledikleri performans arasında bir farklılaşma olup olmadığını belirlemektir. Bu kapsamda performans düzeyinin turistlerce nasıl algılandığını tespit ederek bu performansın hizmet kalitesine nasıl yansıdığını belirlemektir. Bu amaçla kişilik özelliklerini ölçen Beş Faktör Kişilik Ölçeği ve algılanan hizmet kalitesini ölçen SERVPERF Ölçeği, 13 turist rehberi ve 475 turiste uygulanmıştır. Araştırma neticesinde kişilik özellikleri boyutları ile hizmet kalitesi boyutları arasında bir ilişki olduğu tespit edilmiştir. Kişilik özellikleri ile algılanan hizmet kalitesi arasında her bir ölçeğin alt boyutlarına bakıldığında bazı boyutlar arasında anlamlı bir ilişki görülmüştür.

An analysis of anxiety and selected aspects of personality in women with ischemic heart disease according to P.T. Costa and R. R. McCrae theory - The role of psychosocial factors in ischemic heart disease.

Risk factors for ischemic heart disease (IHD) are very numerous and not fully defined. In addition to classic risk factors, different factors are also distinguished, among them psychological aspects chich have rarely been subject to detailed analyses. The aim of study was an analysis of the anxiety structure, including the five factors of personality: neuroticism (NEU), extraversion (EXT), openness (OPE), agreeableness (AGR) and conscientiousness (CON), in women with IHD. The study involved 140 women aged 37-74 years with IHD confirmed by coronary angiography. Psychological examination was conducted using R.B. Cattell's IPAT Anxiety Scale and P.T. Costa and R.R. McCrae's NEO-FFI Personality Inventory. The results obtained from the IPAT Anxiety Scale showed that the study group of 140 women with IHD had the correct level of internal integrity (Q3- ). The dominant factor in the anxiety structure in 88.7% of subjects was neurotic tension (Q4+). A lack of sense of safety was indicated by 72.6% of subjects (L+), 69.3% experienced a strong tendency to self-blame and experience a sense of guilt (O + ), and over 51.6% of women with IHD expressed decreased emotional stability (C - ). The level of general anxiety was high (GA=7.3). The analysis of the five factors of personality revealed that the dominant factors in the structure of personality of women with IHD were CON in 69.3%, AGR in 46.7% and EXT in 45.2%. NEU and OPE were moderately significant factors. Women with IHD are characterised by a high level of anxiety, increased neurotic tension, decreased emotional stability, auto-aggression and a sense of danger and distrust. Women with IHD demonstrate a high level of factors, such as extraversion, agreeableness and conscientiousness.

Influence Openness to Experience, Conscientiousness, Extraversion, Agreeableness, Neuroticism on Performance with Self-Efficacy as Mediator

Influence Openness to Experience, Conscientiousness, Extraversion, Agreeableness, Neuroticism on Performance with Self-Efficacy as Mediator

An Assessment of Physical Education Teacher Candidates’ Dispositions

The study assessed physical education teacher candidates’ (TCs) dispositions toward teaching. Participants included 72 physical education TCs (80.56% males and 19.44% females). TCs completed the Missouri Educator Profile (MEP) once, as part of the requirements for admission to the teacher education program at their institution. The MEP is a 10-point Likert scale with six subscales: Achievement (AT), Social Influence (SI), Interpersonal Effectiveness (IP), Self-Adjustment (SA), Conscientiousness (CN), and Practical Intelligence (PI). The predictor variables were TCs’ sex, PE major status, cumulative GPA (GPA), number of hours attempted (HRA), number of hours passed (HRP) at the time of taking the MEP, transfer student status (TSS), and first semester of enrollment (FSE). Descriptive data indicated that the SA subscale (45.83%) had the highest percentage of TCs with high scores, followed by SI (33.33%). Conversely, the lowest percentage of TCs with high scores was in PI (5.56%). Nonparametric rank-based regression analyses showed that sex and PE major status were significant predictors of SI, IP, and PI. Female TCs had lower scores than their male counterparts on these subscales. TCs who maintained their status as PE majors after taking the MEP had lower scores than those who changed majors. Furthermore, HRA and HRP significantly predicted the IP and PI subscales. TCs with higher number of hours attempted had higher scores on the IP and PI subscales. Conversely, the higher the number of hours passed, the lower the score on the IP and PI subscales. All the predictor variables were not significant for subscales AT, SA, and CN. Finally, transfer student status was not a significant predictor of any of the dispositions. Physical Education Teacher Education programs need to teach and assess TCs’ dispositions on a regular basis. Dispositional assessment data could serve as valuable source of feedback for teacher education program improvement.

Prediction of Personality Traits from Text using Time Efficient Preprocessing and Deep Convolution Neural Network

Persons express their sentiments as part of day-by-day communiqué. Personality traits reveals persons thoughts, about their feelings and persons behavior. Hence personality traits sets psychology how one person different from one another. Person thoughts expressed by what he/she write about any situation. Henceforth personality traits prediction is the vital research area. This research area belongs to NLP (Natural Language Processing), the most widely accepted of these traits are as: Openness (OPE), Conscientiousness (CON), Extraversion (EXT), Agreeableness (AGR), and Neuroticism (NEU). In this paper we have proposed to use time efficient sentence tokenization algorithm, efficient text preprocessing prominence on emoji’s followed by CNN deep learning classifier , proposed prediction model uses convolution filter for feature selection, further we have compared prediction model with machine learning based prediction model. We have also compared brute force tokenization method with proposed tokenization algorithm over dataset different in size.

Personality and temperamental determinants of styles of coping with stress in male and female football players

The aim of this paper was to determine the patterns of personality and temperament conditions for coping with stress in football players. The study examined 252 people (168 men, 84 women, the average age was 24.09 years). The athletes were representatives of the Ekstraklasa, and the I and II football Liga. They formed 3 groups: the fi rst group comprised men from the Ekstraklasa, the second - men from the II Liga and the third - women from the Ekstraklasa and the I Liga. The research made use of the following tools: NEO- FFI Personality Inventory in the Polish adaptation by Zawadzki et al. (1998), FCB - TI Temperament Questionnaire (1997), Coping Inventory for Stressful Situations (CISS) by Endler and Parker, in the Polish adaptation by Strelau et al. (2007). Analysis of the results showed that agreeableness (AG), conscientiousness (CS) and perseverance (PE) proved to be important predictors of the task-oriented coping (TOC). Emotion-oriented coping (EOC) is conditioned by: neuroticism (NEU), agreeableness (AG), conscientiousness (CS) and perseverance (PE). In the case of avoidance coping (AOC), extraversion (E) and activity (A) turned out to be important predictors. However, the style of coping oriented towards engagement in substitute activities (involving in substitute activities - ISA) is conditioned by: neuroticism (NEU) and extraversion (E). Extraversion is also the predictor of dealing with stress oriented towards searching for social contacts (social contacts seeking – SCS).

Dreams stimulate waking-life creativity and problem solving: Effects of personality traits

Well-known examples, e.g. Paul McCartney who composed “Yesterday” because of a dream, have shown how dreams can inspire creativity. In a sample population of 2492 participants who completed an online questionnaire the goal of this study was to examine the frequency of dreams which stimulate creative ideas and help solving problems. Participants had on average both creative ideas and problem solving help by dreams once every other month. Factors such as gender, age, attitude towards dreams and personality traits influenced the frequency. Although all personality traits showed an impact on the frequency, Openness to Experience and Neuroticism had the strongest influence. Agreeableness and Conscientiousness showed negative correlations only with the creative ideas by dreams item. Persons with higher scores of Openness to Experience and Neuroticism were more often influenced by their dreams. Further research could have a look at persons working in creative fields and possible results of creative and problem solving dreams, e.g., new music, advertising slogans, website designs, and poems.

Validation of Environmental Personality (Conscientiousness, Agreebleness, Neuroticism, Openness, Extraversion) and its Effect on Students’ Pro-Eco Behavior Mediated By Intention to Act

Validation of Environmental Personality (Conscientiousness, Agreebleness, Neuroticism, Openness, Extraversion) and its Effect on Students’ Pro-Eco Behavior Mediated By Intention to Act

A comparison of delayed discount and personality characteristics between male impulsive and premeditated prisoners

Objective To explore the delayed discount and personality characteristics of impulsive and premeditated male prisoners and their correlation. Methods A total of 120 male prisoners with aggressive behaviors were tested by Self-made General Situation Questionnaire, Impulsive / Premeditated Aggression Scale (IPAS), NEO Five-Factor Inventory(NEO-FFI), Delay Discount Task (DDT). The effective participants were ninety, including 51 in impulsive group and 39 in premeditated group. Analyzed the difference of delayed discount and personality characteristics between the two group. Results (1) In the delayed discount task, the delay discount rat(K) of the impulsive violence group (0.0278±0.0555) was significantly higher than that of the premeditated violence group (0.0042±0.0078). The difference was statistically significant (t=3.004, P=0.004). (2) The scores of agreeableness(35.84±4.08) and conscientiousness(37.04±4.83)in impulsive violence group were lower than that in premeditated violence group(38.46±5.53, 42.31±5.96), and the difference was statistically significant(t=-2.587, P=0.011; t=-4.634, P 0.05). Conclusion Male impulsive prisoners have faster tendency to delay discounting compared with male premeditated prisoners. Lower agreeableness and conscientiousness are the personality characteristics of male impulsive prisoners. Key words: Impulsivity; Premeditated; Delay discounting task; Personality

Prevalence and influence factors of subthreshold body dysmorphic disorder in undergraduates

Objective To explore the prevalence of subthreshold body dysmorphic disorder in an undergraduates sample and investigate the mediating role of self-esteem on big five personality and body image disturbance. Methods A sample of 1 166 undergraduates coming from four different colleges were recruited to complete questionnaire survey. Results The prevalence of subthreshold body dysmorphic disorder in undergraduates was 6.2%.Body image disturbance(35.2±18.4) was negatively correlated with self-esteem ((29.0±4.3), r=-0.41, P<0.01), positively correlated with neuroticism ((32.9±8.1), r=0.52, P<0.01) while negatively correlated with extraversion (39.6±6.8), openness (39.8±6.4), agreeableness (41.7±4.7) and conscientiousness ((40.1±6.4), r=-0.18, -0.14, -0.14, -0.25; all P<0.01). The mediating role of self-esteem was 19.7%. Conclusion The prevalence of subthreshold body dysmorphic disorder in undergraduates is rather high.Big five personality can directly predict body image disturbance and indirectly predict body image disturbance through the mediating role of self-esteem. Key words: Subthreshold body dysmorphic disorder; Body image disturbance; Big five personality; Self-esteem; Depression; Mediating role