Studies 1 and 2 assessed performance on a battery of dorsolateral prefrontal cognitive ability (D-PFCA) tests, personality, psychometric intelligence, and academic performance (AP) in 2 undergraduate samples. In Studies 1 and 2, AP was correlated with D-PFCA (r=.37, p<.01, and r=.33, p<.01, respectively), IQ (r=.24, p<.05, and r=.38, p<.01, respectively), and Conscientiousness (r=.26, p<.05, and r=.37, p<.01, respectively). D-PFCA remained significant in regression analyses controlling for intelligence (or g) and personality. Studies 3 and 4 assessed D-PFCA, personality, and workplace performance among (a) managerial-administrative workers and (b) factory floor workers at a manufacturing company. Prefrontal cognitive ability correlated with supervisor ratings of manager performance at values of r ranging from .42 to .57 (ps<.001), depending on experience, and with factory floor performance at pr=.21 (p=.02), after controlling for experience, age, and education. Conscientiousness correlated with factory floor performance at r=.23.

This meta-analysis reports the most comprehensive assessment to date of the strength of the relationships between the Big Five personality traits and academic performance by synthesizing 267 independent samples (N = 413,074) in 228 unique studies. It also examined the incremental validity of personality traits above and beyond cognitive ability in predicting academic performance. The combined effect of cognitive ability and personality traits explained 27.8% of the variance in academic performance. Cognitive ability was the most important predictor with a relative importance of 64%. Conscientiousness emerged as a strong and robust predictor of performance, even when controlling for cognitive ability, and accounted for 28% of the explained variance in academic performance. A significant moderating effect of education level was observed. The relationship of academic performance with openness, extraversion, and agreeableness demonstrated significantly larger effect sizes at the elementary/middle school level compared to the subsequent levels. Openness, despite its weak overall relative importance, was found to be an important determinant of student performance in the early years of school. These findings reaffirm the critical role of personality traits in explaining academic performance through the most comprehensive assessment yet of these relationships.

Schools and universities devote considerable time and resources to developing students' social and emotional skills, such as emotional intelligence (EI). The goals of such programs are partly for personal development but partly to increase academic performance. The current meta-analysis examines the degree to which student EI is associated with academic performance. We found an overall effect of ρ = .20 using robust variance estimation (N = 42,529, k = 1,246 from 158 citations). The association is significantly stronger for ability EI (ρ = .24, k = 50) compared with self-rated (ρ = .12, k = 33) or mixed EI (ρ = .19, k = 90). Ability, self-rated, and mixed EI explained an additional 1.7%, 0.7%, and 2.3% of the variance, respectively, after controlling for intelligence and big five personality. Understanding and management branches of ability EI explained an additional 3.9% and 3.6%, respectively. Relative importance analysis suggests that EI is the third most important predictor for all three streams, after intelligence and conscientiousness. Moderators of the effect differed across the three EI streams. Ability EI was a stronger predictor of performance in humanities than science. Self-rated EI was a stronger predictor of grades than standardized test scores. We propose that three mechanisms underlie the EI/academic performance link: (a) regulating academic emotions, (b) building social relationships at school, and (c) academic content overlap with EI. Different streams of EI may affect performance through different mechanisms. We note some limitations, including the lack of evidence for a causal direction. (PsycINFO Database Record (c) 2020 APA, all rights reserved). We found an overall effect of ρ =.20 using robust variance estimation (N = 42,529, k = 1,246 from 158 citations). The association is significantly stronger for ability EI (ρ =.24, k = 50) compared with self-rated (ρ =.12, k = 33) or mixed EI (ρ =.19, k = 90). Ability, self-rated, and mixed EI explained an additional 1.7%, 0.7%, and 2.3% of the variance, respectively, after controlling for intelligence and big five personality. Understanding and management branches of ability EI explained an additional 3.9% and 3.6%, respectively. Relative importance analysis suggests that EI is the third most important predictor for all three streams, after intelligence and conscientiousness.

In psychology and psychometrics, the Big Five personality trait model or five-factor model (FFM), sometimes called by the mnemonic acronym OCEAN or CANOE In psychology and psychometrics, the Big Five personality trait model or five-factor model (FFM), sometimes called by the mnemonic acronym OCEAN or CANOE, is a scientific model for measuring and describing human personality traits. The framework groups variation in personality into five separate factors, all measured on a continuous scale: openness (O) measures creativity, curiosity, and willingn O… Research has demonstrated that the big five personality traits correlate with important work outcomes such as job performance, training proficiency, and turnover. For example, an early meta-analysis found an estimated population correlation of 0.26 between conscientiousness and supervisory ratings of job performance. These results are consistent with research suggesting that personality traits predict a broad range of important life outcomes. However, these criterion-related validity results have been criticized, in part because of the apparently weak correlations: "The problem with personality tests is ... that the validity of personality measures as predictors of job performance is often disappointingly low. The argument for using personality tests to predict performance does not strike me as convincing in the first place." Subsequent literature has suggested that correlations obtained by psychometric personality researchers were actually very respectable by comparative standards, and that the economic value of even incremental increases in prediction accuracy was exceptionally large, given the vast difference in performance by those who occupy complex job positions. One way to explain this controversy is that there is little doubt that personality predicts a broad array of important outcomes but it is also clear that other selection methods have higher validity as compared to personality. Research has suggested that individuals who are considered leaders typically exhibit lower amounts of neurotic traits, maintain higher levels of openness, balanced levels of conscientiousness, and balanced levels of extraversion. Bono and Judge (2004) discovered extraversion, openness, and conscientiousness all predicted leadership potential; in addition, they also uncovered extraversion in transformative leadership, which in turn reduced conscientiousness. The effectiveness of leadership is positively influenced by factors like managerial experience, conscientiousness, and intelligence. Further studies have linked professional burnout to neuroticism, and extraversion to enduring positive work experience. Studies have linked national innovation, leadership, and ideation to…

<h4>Introduction</h4>Personality assessments based on the Big Five framework remain widely used in employee selection and organizational research. However, debates persist regarding their predictive strength and practical relevance across dynamic workplace contexts. This study revisits these debates by examining how personality traits interact with individual capabilities and contextual factors in predicting job performance.<h4>Methods</h4>This integrative review followed PRISMA guidelines and analyzed peer-reviewed studies published between 1991 and 2024. Literature was searched across Web of Science, Scopus, ScienceDirect, and the Saudi Digital Library. A total of 315 records were identified, 125 duplicates were removed, and 190 studies were screened. After the eligibility assessment, 43 studies met the inclusion criteria and were analyzed using descriptive synthesis, thematic coding, and alignment with an integrative framework.<h4>Results</h4>The review found that conscientiousness consistently emerged as the strongest predictor of job performance across occupations. Other traits, such as extraversion, openness, agreeableness, and neuroticism, showed more context-dependent relationships with performance outcomes. Across the analyzed studies, three major themes emerged: (1) personality traits as behavioral resources, (2) capabilities such as learning agility, adaptability, and job crafting as mechanisms translating traits into behavior, and (3) contextual moderators including job design, leadership climate, and cultural environment.<h4>Discussion</h4>The study proposes the Trait-Capability-Context (TCC) model, which explains how personality traits interact with individual capabilities and organizational environments to influence performance outcomes. The model suggests that traits alone are insufficient predictors of job performance and must be considered alongside capability development and contextual conditions. This integrative framework provides a more realist Similar ideas were grouped into broader categories, like personality traits predicting job performance, capabilities, and contextualized personality tests. Key themes included traits predicting success across industries, their effect on learning new skills, and the workplace context’s role in personality-based hiring. The integrative framework alignment maps findings onto the Trait-Capability-Context model, whose structure shows how dispositional, self-regulatory, and contextual factors determine job performance. 3 Results The final data set includes 43 peer-reviewed studies published between 1991 and 2024 across 17 journals. Studies from 2010 to 2015 focused on how personality traits like conscientiousness could predict job performance ( Blickle et al., 2013 ). But in recent years, researchers have explored new areas, such as linking personality with emotional intelligence ( Di Fabio and Saklofske, 2021 ), remote work conditions, and virtual teams ( Flavián et al., 2022 ) and problems in diverse workforces ( Van Iddekinge et al., 2023 ). Moreover, earlier studies looked at personality in general industries ( Dong and Dumas, 2020 ). (2024) identified that conscientiousness was helpful early on, but traits like openness to new experiences were more important for long-term growth and innovation. Three overarching themes emerged from the synthesis, aligning with the proposed Trait–Capability–Context (TCC) Model. The model draws conceptually on the Resource-based View ( Wernerfelt, 1995 ) and Dynamic Capability Theory ( Teece and Pisano, 1994 ), which views human characteristics as strategic resources that must be mobilized through learning and adaptation to generate value. Table 2 summarizes the 43 studies analyzed, organized chronologically to illustrate the evolution of research on the Big Five and job performance from static trait models to dynamic, context-sensitive frameworks. Table 2 Comparative overview of included studies. Authors Journal Country/Industry Sample size Study design Personality measure Additional constructs Findings Barrick and Mount (1991) Personality and Individual Differences USA/Mixed industries 117 studies Meta analysis Big Five inventories Cognitive ability Conscientiousness most consistently predicts job performance. Vinchur et al. (2024) Group and Organization Management South Korea/Teams 27 studies Meta-analysis Big Five Team composition Aggregate team personality traits affect group performance. 4 Discussion The findings of this integrative review confirm that the Big Five personality model is valuable for understanding personality traits and predicting general behavior patterns ( Dimitriou and Galanakis, 2022 ; Kostiani and Galanakis, 2022 ). It allows organizations to assess traits related to employee performance, such as conscientiousness, contributing to a better understanding of how individuals may fit into specific job roles. 4.2 Theoretical and practical implications This review advances personality research by integrating traits, capabilities, and context in the TCC model. It shows that personality traits function as foundational dispositions, whose effects on workplace behavior are shaped by individual capabilities and contextual conditions. This perspective explains why Big Five traits, such as conscientiousness and extraversion, exhibit varying predictive power across roles, career stages, and industries. Another important area is Career-Trajectory Analysis (Personality × Capability Development) since traits may predict early career outcomes differently than mid/late career outcomes. This will show when and how traits impact success, guiding talent development, mentoring, and promotion decisions. Furthermore, future studies can examine Trait–Context alignment under technological and workplace shifts, identifying which traits help employees thrive in dynamic environments, supporting organizational resilience and strategic HR planning.