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The purpose of this paper is to provide evidence for a “leadership big five”, a model of leadership behaviour integrating existing theories of leadership and conceptually aligned with the most established model of personality, the big five. Such a model provides researchers and practitioners with a common language to describe leadership behaviour in a field with a plethora of leadership models. The model also describes a wider range of leadership behaviour than other models of leadership, and presents dimensions that correlate with important organisational outcomes as demonstrated in this study.

In total, 1,186 employees completed the Voice Leadership 360, a survey designed to measure the leadership big five, collectively rating 193 managers from a range of different sectors and industries, using a 360-degree survey methodology.

Confirmatory factor analyses and internal reliability analyses provide evidence for 22 lower-order factors of leadership behaviour that aggregate into five higher-order factors of leadership aligned with the big five personality descriptors. Further evidence for the validity of the model is indicated by significant correlations between 360-degree survey ratings and raters’ judgements of leaders’ personality, and significant correlations between 360-degree survey ratings and both work unit engagement levels and manager reports of work unit performance.

The cross-sectional design is the main limitation of the present study, limiting conclusions that changes in leadership behaviours will lead to changes in organisational outcomes. The primary research implications of this study include the support for an integrating model of leadership behaviour that aligns with a large body of psychological research, as well as the development of a survey that can be used for future exploration of the model.

Practitioners may use the results of the study to rethink how they develop competency frameworks and measure leadership behaviour in organisation development contexts. This broad model of leadership and the familiarity of its dimensions could increase the effectiveness of behaviour change interventions, and the presented survey provides a reliable and valid tool for 360-degree assessments.

The study provides evidence that leadership can be described in a structurally similar way to human personality. It presents a leadership model that consists of a broader range of leadership behaviours related to organisational outcomes compared with previous models of leadership.

The purpose of this paper is to evaluate the influence of psychological hardiness, social judgment, and “Big Five” personality dimensions on leader performance in US military academy cadets at West Point.

Army cadets were studied in two different organizational contexts, i.e. summer field training and during academic semesters. Leader performance was measured with leadership grades (supervisor ratings) aggregated over four years at West Point.

After controlling for general intellectual abilities, hierarchical regression results showed leader performance in the summer field training environment is predicted by Big Five extroversion, and hardiness, and a trend for social judgment. During the academic period context, leader performance is predicted by mental abilities, Big Five conscientiousness, and hardiness, with a trend for social judgment.

Results confirm the importance of psychological hardiness, extroversion, and conscientiousness as factors influencing leader effectiveness, and suggest that social judgment aspects of emotional intelligence can also be important. These results also show that different Big Five personality factors may influence leadership in different organizational contexts.

The study identifies personality factors related to leader performance in different types of work environments or contexts. Results can be used to improve leader selection and development programs.

This is the first study to examine the influence of psychological hardiness together with Big Five personality factors on leader performance. It identifies hardiness as an important predictor of leadership, while also showing that organizational context makes a difference for what Big Five personality factors influence leader performance: extroversion appears to be more influential in highly social and active work environments, whereas conscientiousness has greater salience in academic and business settings.

The purpose of this paper is to investigate the impact of the frequency of information acquisition on the frequency of stock trading. The authors also examined if the Big Five personality traits of investor influence the association between information acquisition and stock trading behavior.

The authors adopted NEO Five-Factor Inventory (Costa and McCrae, 1989) inventory to measure the Big Five personality traits of investors and examined the data collected from 541 individual investors of the Chinese stock market. To overcome the potential endogeneity bias, the authors followed two-stage least square method for estimating endogenous covariate by employing instrumental variable analysis. The authors performed probit regression to evaluate the moderating influence of investor personality traits on the association between information acquisition and stock trading behavior. The authors also performed several other tests to check the robustness of the key findings.

This research confirmed the previous findings that the more frequently investors acquire information, the more often they trade in stocks. Moreover, the authors added to the existing literature by providing empirical evidence that the Big Five personality traits moderate the relationship of information acquisition with stock trading behavior. Information acquisition tends to increase stock trading frequency in investors with conscientiousness, extraversion and agreeableness traits. On the other hand, it also has the tendency to decrease the intensity of stock trading in investors with openness and neuroticism traits.

The theoretical model in this study seeks to explain that the psychological factor, namely, investor personality, influences the way an investor interprets signals from information which in turn influences the investor decision to trade in securities. This research suggests that psychological characteristics of investors can be of relevance for policy makers in their attempts to improve their business in the financial services industry.

This study combines both information search literature and behavioral finance literature to investigate whether or not the information acquisition that relates to investors’ asset allocation decisions is influenced by investor personality. The study offers new theoretical insights into investors’ behavior due to the characteristics of the Chinese stock market which are uniquely different from other stock markets in the world. No previous study has been conducted so far in the Chinese stock market to explore variations in the impact of investors’ information acquisition on their stock trading by the Big Five personality and this paper strives to fill this research gap.

The purpose of this paper is to clarify whether the dark side of personality adds information beyond the bright side when predicting career success.

In total, 287 participants (150♀, M_age=37.74 and SD_age=10.38) completed questionnaires on the Dark Triad (narcissism, Machiavellianism and psychopathy) and the Big Five (emotional stability, extraversion, openness, agreeableness and conscientiousness). They also provided information on their objective (salary and leadership position) and subjective (job satisfaction and satisfaction with income) career success. Regression analyses were used to estimate the Dark Triad’s incremental predictive value.

The results show that the Dark Triad only provides incremental information beyond the Big Five when predicting salary (ΔR²=0.02*) and leadership position (ΔR²=0.04*). In contrast, the Dark Triad does not explain unique variance when predicting job satisfaction or satisfaction with income.

The exclusive use of self-rated success criteria may increase the risk of same-source biases. Thus, future studies should include ratings derived from multiple perspectives.

Considering the Dark Triad in employee selection and development seems particularly promising in the context of competitive behaviour.

The results are discussed in light of the socioanalytic theory. This may help to better understand behaviour in organisational contexts.

This study is the first that simultaneously investigates all three traits of the Dark Triad and the Big Five in combination with objective and subjective career success. In addition, it extends previous findings by answering the question of whether the Dark Triad offers incremental or redundant information to the Big Five when predicting success.

The relationships between the Big Five personality traits and life and job satisfaction have been examined extensively. Despite this attention, however, most existing theories focus on a few global dimensions of the Big Five while relying primarily upon a selection of theoretically relevant but unmeasured facets to illuminate their factor-level explanations. The purpose of this paper is to examine personality–satisfaction relationships for job and life domains at the facet level to better identify and explain why certain global Big Five traits consistently relate to satisfaction, taking both factors and facets into account.

Data from over 20 specific occupational samples were pooled meta-analytically to examine personality facet of job/life satisfaction relationships and their generalizability. Bifactor latent variable modeling using meta-analytic input was used to examine independent contributions of general and unique personality facets.

The dominance facet of extraversion, low self-esteem facet of neuroticism, and responsibility facet of conscientiousness were most closely related to satisfaction variables. There were independent contributions of general and unique facet level personality–satisfaction relations for the neuroticism and conscientiousness domains, but not for the extraversion domain.

Findings contribute to the literature on the bandwidth–fidelity dilemma in measuring personality and theories involving personality at work.

This study established the generalizability of Big Five traits–satisfaction relations and identified the empirically supported personality paths to understanding job and life satisfaction. This study also demonstrated how meta-analysis can be combined with bifactor models to understand substantive relations.

From an online survey of 114 participating accountants at staff, senior staff, and supervisor levels from a top-100 U.S. accounting firm, we investigate the effects of the Big Five personality traits (Conscientiousness, Agreeableness, Extraversion, Neuroticism, and Openness) on the ethical decision-making process of accountants. Within the framework of Rest’s (1986) Four-Component Model of Ethical Behavior, we focus on Component III, the formation of an intention to act upon one’s best ethical judgment. Based on the limited extant literature on the connection between personality and ethical behavior, we expect that accountants high in Conscientiousness and Openness will tend to form an intention to act ethically despite pressure in an ethical dilemma. We develop more tentative hypotheses about the remaining three factors. Controlling for age, gender, education, sole earning status, and experience, we find clear positive statistical effects of only Conscientiousness and Openness. These findings have implications for the human resource departments of accounting firms, as well as contributing to a basic understanding of the relationships between Big Five personality factors and ethical intention.

In this study, we use the well-researched and validated Big Five model of personality traits to examine accounting students’ career interests in auditing. Using the person-job fit literature as a springboard for our study, we investigate the influence of accounting students’ personality traits on their career interests in auditing using a research survey. We uncover a general “trait gap” (i.e., lack of fit) between accounting students’ own personality traits and their perceptions of the ideal auditor, which presents implications for workplace readiness. Additionally, analysis focusing on students who particularly want to work in auditing indicates that those with more auditing work experience are more likely to identify auditing as their preferred job. Furthermore, results indicate that accounting students higher on openness to experience tend to view auditing jobs as more desirable. Finally, accounting students who prefer the auditing career path perceive the ideal auditor as extroverted, agreeable, and open to experience. We extend prior findings in the accounting education literature surrounding personality traits and their impact on student career choices. Because advising students for a career path suiting their traits and talents is important for each student and the accounting profession, our study’s insights into the “matching process” add value to career advising.

Industry platforms can alter relations among exchange partners in such a way that the industry structure is changed. The focus of much industry platform research has been on how platform creation and leadership offers advantages to the most central firms, but platforms can also be advantageous for small specialist firms that compete with the most central firms. We examine book publishing as an example of an industry in which the central players – large publishing firms – are losing power to self-publishing authors because the distributor Amazon has a powerful platform for customers to communicate independently, and the non-publishing platform Twitter also serves as a medium for readers to discuss and review books. Our empirical analysis is based on downloaded sales statistics for Amazon Ebooks, matched with Amazon reviews of the same books and tweets that refer to the book or the author. We analyze how Ebook sales are a function of publisher, Amazon reviews, and tweets, and we are able to assess the importance of each factor in the sale of book titles. The main finding is that Amazon reviews are powerful drivers of book sales, and have greater effect on the sales of books that are not backed by publishers. Twitter also affects book sales, but less strongly than Amazon reviews.

This study investigates the transmission of art-related aspects (i.e. art products or services and people's experiences at museums) via word-of-mouth (WOM) from a personality perspective. Specifically, the study explores the effects of the Big Five personality traits (based on the five-factor model) and market mavenship (i.e. the propensity to provide general marketplace and shopping information) on intention to spread WOM in the art context.

Data were gathered through two field surveys, conducted via a structured questionnaire and analyzed using multiple regression analysis.

Results indicate that extraversion is the only Big Five personality trait that increases WOM intention (e.g. by talking to others about a visit to a museum). Market mavenship also increases such an intention (e.g. by talking to others about art services).

The study's findings could motivate arts managers to formulate and/or refine segmentation strategies around their consumers' personality traits, since these variables may differently motivate them to spread art-related WOM. The findings may also help companies and institutions operating in the art industry to design communication strategies oriented around their consumers' personality type to appropriately connect with different groups of customers based on their innate human drives.

This is the first study to assess the effects of Big Five personality traits and market mavenship on WOM intention in the art context, thus expanding scholarly understanding of psychological drivers behind arts-related WOM.

The purpose of this paper is to suggest a comprehensive framework to elucidate the relationship between personality and networking. Using the Five Factor Model as a framework, the paper aims to argue that traits tapping into social (i.e. extraversion, agreeableness) and informational (i.e. openness to experience) features are relevant in explaining how individual dispositions facilitate networking behaviors. Moreover, it aims to delineate structural and functional differences in networking (i.e. building, maintaining, and using contacts within and outside the organization) and to theorize how these differences yield differential relationships of personality traits with networking dimensions.

Online surveys were administered to two samples, from Germany and the UK, respectively (n=351). Structural equation modeling is used to test the hypotheses.

Personality traits reflecting social (extraversion) and informational aspects (openness to experience) are broadly related to networking in general. The paper also finds support for differential relationships, for example, agreeableness is related to internal, but not external networking. Both conscientiousness and emotional stability are not related to networking behaviors.

The findings help explain why some individuals experience more barriers to networking than others and can be used in networking trainings. Practitioners should also note that there is more than extraversion to accurately predict networking skills in selection assessments.

The paper provides further insights into determinants of networking, which is an important career self‐management strategy. It also offers an integrative framework on the personality‐networking relationship as prior research has been fragmentary. Establishing differential relations also furthers understanding on core differences between networking dimensions.