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Nowadays, social networks are daily used to share what people like, feel, where they travel to, etc. This huge amount of data can say a lot about their personality because it may reect their behaviour from the “real world” to the “virtual world”. Once obtained the access to this data, some authors have tried to infer the personality of the individual without the use of long questionnaires, only working with data in an implicit way, that is, transparently to the user. In this scenario, our work is focused on predicting one of the human personality traits, the Curiosity. In this paper, we analyse the information that can be extracted from the users’ profile on Facebook and the set of features that can be used to describe their degree of curiosity. Finally, we use these data to generate several prediction models. The best generated model is able to predict the degree of curiosity with an accuracy of 87%.

Currently, short communication channels are growing up due to the huge increase in the number of smartphones and online social networks users. This growth attracts malicious campaigns, such as spam campaigns, that are a direct threat to the security and privacy of the users. While most researches are focused on automatic text classification, in this work we demonstrate the possibility of improving current short messages spam detection systems using a novel method. We combine personality recognition and sentiment analysis techniques to analyze Short Message Services (SMS) texts. We enrich a publicly available dataset adding these features, first separately and after in combination, of each message to the dataset, creating new datasets. We apply several combinations of the best SMS spam classifiers and filters to each dataset in order to compare the results of each one. Taking into account the experimental results we analyze the real inuence of each feature and the combination of both. At the end, the best results are improved in terms of accuracy, reaching to a 99.01% and the number of false positive is reduced.

Risk-taking propensity is considered a defining characteristic of entrepreneurs. Previous research informs us that risk-taking propensity can be dynamic, changing over the course of an individual’s life, often in response to situational changes. Despite this, temporally driven shifts in entrepreneurs’ risk-taking propensity have been underappreciated by research to date. While some studies investigate risk-taking propensity variation across entrepreneurs in early venture phases, risk-taking propensity differences across all venture phases have not been investigated. To close this gap, we assess variations in risk-taking propensity across groups of entrepreneurs in different venture phases, ranging from early to late stages. In a sample of 266 practicing entrepreneurs, we observe notable differences in risk-taking propensity across venture phases. Early-stage entrepreneurs exhibit higher risk-taking propensity than those in later phases of venture maturity. This has important implications for entrepreneurship research and encourages the consideration of temporal personality variation and differences within the group of entrepreneurs.

Clinical depression is one of the most common psychiatric disorders in adults, yet non-clinical depression in the community may go unnoticed, despite high prevalence rates and significant psychosocial impairment. The aim of the current study was to classify 1,226 individuals from a community sample on the basis of depression scores (using the Depression Anxiety Stress Scales, DASS) and to determine whether depression in a non-clinical sample differed significantly from healthy controls on a profile of multimodal measures. The data analyzed in this study included personality, emotional intelligence, cognition and psychophysiology. It was predicted that non-clinically depressed participants would differ from healthy controls on measures of personality (increased neuroticism; decreased extraversion), emotional intelligence (decreased), cognition (impairments in executive dysfunction and memory impairment), psychophysiology (increased resting-state, right-frontal activation; diminished skin conductance) after controlling for gender, age, handedness and years of education. Findings provide support for the majority of hypotheses, though no evidence was found for memory impairment or frontal hemispheric asymmetry. Longitudinal studies are needed to determine the extent to which of these findings will have utility for the prediction of depression onset and treatment response/non-response.

Over the last decade, an increasing number of research studies have focused on the construct of Emotional Intelligence (EI), which may be broadly defined as the capacity to perceive and regulate emotions in oneself as well as those of others. Researchers have generally adopted an organizational or management focus to the study of EI, however studies which adopt a more integrated perspective by combining psychological with biological measures, may help in further elucidating this relatively abstract construct. The first objective of this paper was to report on the psychometric properties of a brief, self-report measure of EI (Brain Resource Inventory for Emotional intelligence Factors or BRIEF), comprising internal emotional capacity (IEC), external emotional capacity (EEC) and self concept (SELF). Second, we further explored the validity of the measure by assessing the relationships between the BRIEF and variables considered relevant to the understanding of EI (including gender, age, personality, cognitive intelligence and resting state electroencephalography, EEG). The BRIEF possessed sound psychometric properties (internal consistency, r = 0.68 - 0.81; test-retest reliability, r = 0.92; construct validity with the Self Report Emotional Intelligence Test, r = 0.70). As hypothesized, females were found to score higher than males on EI. EI was associated more with personality than with cognitive ability, and EEG was found to explain a significant portion of the variance in EI scores. The finding that low EI is related to underarousal of the left-frontal cortex (increased theta EEG) is consistent with research on patients with depression, as well as attention deficit hyperactivity disorder. Although EI did not display age-related increases, this might relate to the exclusion of adolescents from our sample. In conclusion, examination of the way in which EI measures relate to a complementary range of psychological and biological measures may help to further elucidate this construct.

Introduction: Depression is characterized by disturbances in affect, cognition, brain and body function, yet studies have tended to focus on single domains of dysfunction. An integrated approach may provide a more complete profile of the range of deficits characterized by depressed individuals, but it is unclear whether this approach is able to predict depression severity over and above that predicted by single tasks or domains of function. In this study, we examined the value of combining multiple domains of function in predicting depression severity.

Methods: Participants contained in the International Brain Database, () had completed three testing components including a web-based questionnaire of Personal History, the Brain Resource Cognition battery of Neuropsychological tests, Personality assessment and Psychophysiological testing. Two hundred and sixty six of these participants were able to be classified as either non-depressed, mild-moderately or severely (non-clinically) depressed, based on a depression screening questionnaire. Analysis of variance identified variables on which the categorized participants differed. Significant variables were then entered into a series of stepwise regressions to examine their ability to predict depression scores.

Results: An integrated model including measures of affect (increased Neuroticism; decreased Emotional Intelligence), cognition (increased variability of reaction time during a working memory task; decreased "name the word component score" in the verbal interference task), brain (decreased left-lateralized P150 ERP component during a working memory task) and body function (increased negative skin conductance level gradient) were found to predict more of the variation in depression severity than any single domain of function.

Discussion: On the basis of behavioral as well as Psychophysiological findings reported in this study, it was suggested that deficits in subclinically depressed individuals are more pronounced during automatic stages of stimulus processing, and that performance in these individuals may improve (to the level displayed by controls) when task demands are increased. Findings also suggest that it is important to consider disturbances across different domains of function in order to elucidate depression severity. Each domain may contribute unique explanatory information consistent with an integrative model of depression, taking into account the role of both behavior and underlying neural changes.

The purpose of this research was to analyse the influence of student’s personality, entrepreneurship curriculum, entrepreneurship knowledge, and student’s attitude on entrepreneurship intentions of FE Unesa management department students with social support as mediator. This research was descriptive quantitative using structural equation model (SEM). This research was conducted in Faculty of Economics, State University of Surabaya (Unesa). The approach and design in this study examined the variables of personality, entrepreneurship curriculum, entrepreneurship knowledge, attitude, social support and entrepreneurship intention in the students of class of 2012 in the Department of Management of Faculty of Economics, Unesa. The population in this study was all students who were active in the Department of Management of Faculty of Economics of Unesa, in the class of 2012. Partially, personality, entrepreneurship curriculum, and entrepreneurship knowledge had influence to social support, and entrepreneurship intention to the students of class of 2012 in the Department of Management of Faculty of Economics of Unesa. This research was a small part of previous studies on entrepreneurial intentions in students. The entrepreneurship intention of a student while they were still a student and after graduation had been studied previously, influenced by the personality variable. Other studies also showed the entrepreneurial intentions of a student influenced the role of entrepreneurial learning on campus, both formally and in the form of courses. The originality of this research is the use of social support as the mediation variable.

This study addresses a certain research issue: how do the Big Five personality traits of managers of small and medium-sized enterprises (SMEs) impact the business performance of companies? A representative random sample of managers of SMEs in Slovenia was used for data collection through survey research. Hypotheses and the model were tested using structural equation modeling. A valuable contribution is made in the form of a new model of Big Five personality induced SME growth, profitability and new value creation. Openness of managers can be predictive of growth and new value creation of their companies, with the new value creation impact especially expressed in female-managed companies. Conscientiousness may not be crucial for performance, except for new value creation in females where this relationship can be negative. Extraversion can predict the growth and profitability. Agreeableness can have negative effects on all performance elements. Neuroticism can be predictive of growth and profitability. Practitioners must be aware of the importance of managers’ Big Five personality traits for SME performance. Where possible, managers may like to develop their levels of openness, extraversion, non-agreeableness and neuroticism.

Entrepreneurship education (EE) has grown exponentially over the past three decades, providing myriad benefits to society. Interestingly though, despite such benefits, scholarly research has rarely focused on who is likely to seek EE. Drawing on Azjen’s theory of planned behavior as well as previous research in education seeking, the current study investigates how individuals’ personality, attitudes and perceived norms affect EE intentions. Results indicate that entrepreneurial norms and attitudes toward both the morality of business and the instrumentality of education are positively associated with EE intentions. Further, results suggest that extraversion and openness to experience are positively associated, whereas conscientiousness is negatively associated with EE intentions. Interestingly, the desire to start one’s own business mediates these effects generally, but mediation analyses also imply that extraversion, openness to experience and instrumentality of education have direct effects on EE intentions regardless of one’s desire to start a business. As such, encouraging these individuals to seek EE may result in a previously unrecognized source of students for EE programs as well as potential business creation that would otherwise not occur. Implications of our study are discussed.

In this paper, I examine three questions: (1) how creativity and innovation in organisations are defined in the scientific literature, (2) which theories are applied and hence which explanatory factors have been discussed, and (3) what the empirical evidence is regarding these factors. I uncover an overlap between the definitions of creativity and innovation, which in my view are distinct but related concepts. Further, despite the significant overlap in their definitions, research has evolved in two almost separate streams. Moreover, I observe that the multiple theories used (even regarding the same factor) to explain organisational creativity are not always integrated and that the empirical evidence about factors concerning individuals seems to converge but is much more mixed in relation to factors at the organisational level. Finally, I propose a new definition of organisational creativity and organisational innovation to distinguish them and suggest some avenues for future research.

Crowdsourcing competitions have been introduced as powerful instruments to integrate users in new product development. While abundant research has investigated motives for participation, little research so far has addressed the reasons why users choose not to participate. We suggest that some potential solvers may refrain from participation from the outset on account of their personality dispositions. In our study, we complement existing knowledge about user motivation to engage in co-creation with findings from personality research. In particular, we investigate individual differences resulting from enduring personality dispositions that might affect potential solvers’ decisions whether or not to enter crowdsourcing competitions. The results of our study show that the likelihood that users will participate in a crowdsourcing competition increases when they score high on openness, extraversion and trait competitiveness. Dispositional trust was not, however, a discriminating factor between participants and non-participants.

This project investigates whether personality could explain variance in unit’s performance via absorptive capacity. Consequently, the study proposes that an executive’s personality traits (e.g., openness to new experience) may be related to absorptive capacity — impacting in different ways the development of externally oriented potential absorptive capacity and internally oriented realised absorptive capacity. To test this model empirically, the study uses a dataset that was collected in the healthcare industry. Results obtained using structural equation modelling confirm some of the proposed relationships. Contribution to research and practitioners is discussed.

This paper studies the motivations and personality traits of retro-tech adopters. From a survey conducted on Amazon Mechanical Turk with 466 respondents, we conducted an exploratory factor analysis to establish motivational factors, and then ran a correlation analysis to determine the relationships between these motivations and the facet-level traits of the BFI-2 model. Our findings indicate that retro-tech consumers are not a homogenous adopter category, as individuals are affected by different motivations — aesthetic, fashionability, nostalgic positive emotionality, non-conformism and quality. Our study additionally suggests a cyclical conceptualisation of the diffusion of innovations model, or its extension to include a new group of retro-adopters.

A research study that obtained questionnaire data via mobile communications from 3,267 residents of all 50 US states illustrates how personality capture can be accomplished in a manner suitable for later emulation inside a virtual world or comparable computer system by means of artificial intelligence agents calibrated to match the personality profiles of specific people. This was the most recent step in a research project that had already developed methods for computer administration of massive questionnaires, and it focused on one of the most prominent models of personality, the so-called Big Five dimensions. The key innovation of mobile data collection will allow efficient personality capture at low cost in effort to the individual, and thus with greater ultimate accuracy because of the very large number of diverse measures that can be obtained. Factor analysis of the data shows how it is possible to develop a flexible system for aggregation of measures that can be adapted to emulation across a changing array of environments.

A relatively small sample of experts ($N=60$) working within the quantitative financial area completed two questionnaires measuring their personality and values. This study set out to determine how personality and motivation/work values predict subjective work success and organizational fit using the High Potential Traits Inventory (HPTI) and the Work Value Questionnaire (WVQ). Compared to the population norms, the “Quants” were higher on Curiosity and Conscientiousness but lower on Tolerance of Ambiguity and Risk-Taking Approach. The “Quants” scored higher than population norms on one facet of intrinsic motivation and all three of the extrinsic motivation. The results demonstrated that Conscientiousness and Intrinsic Motivation were both significant predictors of subjective work success. The results are discussed in terms of how to select, manage and promote “Quants”. Implications and limitations are discussed.

Code-switching (CS) is a common linguistic phenomenon exhibited by multilingual individuals, where they tend to alternate between languages within one single conversation. CS is a complex phenomenon that not only encompasses linguistic challenges, but also contains a great deal of complexity in terms of its dynamic behavior across speakers. Given that the factors giving rise to CS vary from one country to another, as well as from one person to another, CS is found to be a speaker-dependent behavior, where the frequency by which the foreign language is embedded differs across speakers. While several researchers have looked into predicting CS behavior from a linguistic point of view, research is still lacking in the task of predicting the user CS behavior from sociological and psychological perspectives. We provide an empirical user study, where we investigate the correlations between users’ CS levels and character traits. We conduct interviews with bilinguals and gather information on their profiles, including their demographics, personality traits, and traveling experiences. We then use machine learning (ML) to predict users’ CS levels based on their profiles, where we identify the main influential factors in the modeling process. We experiment with both classification as well as regression tasks. Our results show that the CS behavior is affected by the relation between speakers, travel experiences, as well as Neuroticism and Extraversion personality traits.

Author analyses excessive screen time issues with preschool children, and how counsellors can take a better counselling approach with parents while keeping in perspective Erik Erikson’s Theory of psychosocial development impacting the child by the age of 5 years. Preschool children spend more than 2.5 hours per day on digital screens; this is against recommended guidelines of less than 1 hour per day by ^*WHO and ^**AAP. A literature review of research papers from online ^***libraries by the author found that only a small percentage of children met the recommended guidelines resulting in the risk of language disorders, delayed development of physical, motor skills and cognitive abilities, obesity, sleep problems, depression and anxiety due to screen exposure. The loneliness of children is found to be the primary reason for the excessive screen time. The author suggests that counsellors help parents look beyond limiting a child’s screen time alone and improve the parental attitude toward the child’s behaviour which is the biggest barrier in managing a child’s screen time. The author’s contribution is the ‘SALT’ counselling approach emphasising listening Support, finding Alternatives, Loneliness and Time in this digital era to cater to all types of child learners - visual, auditory, and kinesthetic.

Why is your paper of interest to readers?

Exposure of preschool children to digital devices is more than double the recommended screen time, hampering a child’s critical personality development required as per Erik Erikson’s Theory. Counsellors need to look at other associated factors beyond screen time which affect children adversely and which are more important than just the screen time limitation prescribed as per government guidelines.

Focus: SE Asia and Outside SE Asia

(No IRB approval is sought as the paper is based on secondary research.)

In this paper, I examine three questions: (1) how creativity and innovation in organisations are defined in the scientific literature, (2) which theories are applied and hence which explanatory factors have been discussed, and (3) what the empirical evidence is regarding these factors. I uncover an overlap between the definitions of creativity and innovation, which in my view are distinct but related concepts. Further, despite the significant overlap in their definitions, research has evolved in two almost separate streams. Moreover, I observe that the multiple theories used (even regarding the same factor) to explain organisational creativity are not always integrated and that the empirical evidence about factors concerning individuals seems to converge but is much more mixed in relation to factors at the organisational level. Finally, I propose a new definition of organisational creativity and organisational innovation to distinguish them and suggest some avenues for future research.

Crowdsourcing competitions have been introduced as powerful instruments to integrate users in new product development. While abundant research has investigated motives for participation, little research so far has addressed the reasons why users choose not to participate. We suggest that some potential solvers may refrain from participation from the outset on account of their personality dispositions. In our study, we complement existing knowledge about user motivation to engage in co-creation with findings from personality research. In particular, we investigate individual differences resulting from enduring personality dispositions that might affect potential solvers’ decisions whether or not to enter crowdsourcing competitions. The results of our study show that the likelihood that users will participate in a crowdsourcing competition increases when they score high on openness, extraversion and trait competitiveness. Dispositional trust was not, however, a discriminating factor between participants and non-participants.

This article discusses handwriting as a means of personality assessment. Through a discussion of the various internal and external factors, we see how the elements of spatial arrangement, writing form, and writing movement develop handwriting patterns. These are shown to combine in ways that demonstrate a wide range of personality traits in handwriting. The question is addressed whether cursive writing is still important in a digital age.