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The study aims to propose a predictive model that combines personality and demographic factors to predict student academic performance (SAP). This research study works on understanding, enhancing and applying techniques to enhance the prediction of SAP.

The authors gathered information from 305 university students from Al-Zintan University Libya. The study uses a survey questionnaire to collect data on essential variables. The purpose of the questionnaire is to discover variables that affect students' academic performance. The survey questionnaire has 44 closed questions with Likert scale designs that were distributed to a variety of college students at the start of the first semester of 2022. It includes questions about demographics, personality, employment and institutional aspects. The authors proposed a predictive model to identify the main fundamental components, consisting of one dependent variable (SAP) and five independent constructs. The suggested model is tested using partial least squares (PLS) and structural equation modeling (SEM), which perform better than covariance-based structural equation modeling (CB-SEM). PLS-SEM performs well with smaller sample sizes, even for complicated models.

The study results show that the proposed model accurately predicted the student's academic performance. The personality trait variables are a key factor that determines the actual student's academic performance. The student's academic performance is significantly impacted by each variable in the personality trait variables as well.

The process of validating research was done empirically through the accuracy and efficiency of model performance. The study differs from previous studies in that it accumulated a wide range of factors from different dimensions, including student demographics and personality trait factors. The authors developed a structural equation model to predict students' academic performance.

This study aims to provide new insights into the relationship between individual characteristics, particularly personality traits and mature students' intention to use (ITU) mobile learning (m-learning).

The research model was constructed by integrating the Big Five personality traits into the unified theory of acceptance and use of technology (UTAUT) model. The data were collected from mature students at a university research center in Macau. Partial least squares structural equation modeling (PLS-SEM) was used to analyze the data and test the proposed hypotheses.

The results reveal that personality traits play a significant role in determining mature students' ITU m-learning technology. In particular, social influence (SI) mediates the relationship between agreeableness (AGB) and ITU.

This study examines how personality traits collectively influence mature students' receptiveness and intentions toward m-learning. As mature learners' motivations and preferences remain underexplored, insights into trait-technology links could address current gaps and optimize mobile educational support tailored to their distinct characteristics and needs.

This study investigates how personality traits influence individuals’ intention to become community group buying (CGB) leaders.

Data include 517 valid questionnaires that are employed to examine the research model and test the hypotheses using partial least squares structural equation modeling.

This study reveals that among the Big Five personality traits, extroversion and neuroticism have more impact on the perceived ease of use and usefulness of social media, and individuals with high levels of these traits are more likely to become CGB leaders. Perceived ease of use only mediates the relationship between agreeableness and CGB leader intention, whereas perceived usefulness mediates the relationships between conscientiousness and CGB leader intention and neuroticism and CGB leader intention.

This study can serve as a catalyst for advancing the exploration of how personality traits and social media affect the intention of being CGB leaders. In addition, the study investigates the mediating effect of social media technology acceptance obtaining valuable insights into how social media affects individuals’ intention to become CGB leaders, expanding the research in this field.

• (1)

  Individuals with extroversion, neuroticism, and conscientiousness personality traits exhibit higher perceived ease of use and usefulness of social media.

• (2)

  Unlike previous research suggested, neurotic individuals appear to be attracted to becoming community group buying (CGB) leaders.

• (3)

  Individuals with high agreeableness are encouraged by ease in pursuing CGB leadership.

• (4)

  Perceived usefulness mediates the relationship between conscientiousness and CGB leadership intention and neuroticism and CGB leader intention.

Individuals with extroversion, neuroticism, and conscientiousness personality traits exhibit higher perceived ease of use and usefulness of social media.

Unlike previous research suggested, neurotic individuals appear to be attracted to becoming community group buying (CGB) leaders.

Individuals with high agreeableness are encouraged by ease in pursuing CGB leadership.

Perceived usefulness mediates the relationship between conscientiousness and CGB leadership intention and neuroticism and CGB leader intention.

The drone food delivery service (DFDS) is a revolutionary technology owing to its ability to reduce delivery costs, alleviate traffic congestion, and offer a more environmentally friendly alternative compared to traditional delivery methods. While studies have been conducted to understand consumers’ intentions towards DFDS, very few of them considered internal factors such as personality traits. Considering the aforementioned factors, this research employs the belief-desire-intention (BDI) model and the big five personalities (BFP) traits to explore how personality traits (neuroticism, extraversion, agreeableness, conscientiousness, and openness) moderate the associations between the desire for DFDS and consumers’ intention to use DFDS (ITU).

Survey questionnaires were distributed online via Facebook and WhatsApp. A total of 359 responses were considered valid, and the study employed the partial least squares structural equation modelling approach to test the hypotheses.

The study revealed a positive impact of the desire for DFDS on ITU. Additionally, extraversion and agreeableness were found to moderate the effect of the desire for DFDS on ITU.

This study is the first in DFDS literature to employ the BDI model, showcasing its effective application in understanding the desire-to-intention relationship. Also, this is the first study that explores the moderating role of the BFP traits in the context of DFDS usage intention. The results provide insights for developing marketing strategies to encourage DFDS usage intention based on consumers' personality traits.

The purpose of this study is to investigate the effect of noncognitive skills on educational mismatch in the context of China and to further explore the potential mechanisms concerning how noncognitive skills determine mismatch outcomes.

This paper uses the Chinese Family Panel Survey of 2018, which provides the Big Five Personality Inventory to assess respondents' noncognitive skills and contains information on educational mismatch. The authors estimate the effects of noncognitive skills on educational mismatch by means of a probit model. Additionally, the correlated random effects (CRE) model and instrumental variable (IV) approach have also been exploited in the robust checks.

The findings show that the composite score of noncognitive skills reduces the probability of being overeducated and, conversely, increases the likelihood of being undereducated. When distinguishing the effects of different personality traits, the authors find significantly negative effects of agreeableness and openness on overeducation and a positive effect of openness on undereducation. With regard to heterogeneous analysis, the effects of noncognitive skills on educational mismatch exist mostly among white-collar employees and employees with fewer than 5 years of work experience. Finally, the authors provide two likely mechanisms related to job search effort and social capital, followed by the presentation of supporting evidence.

The results of this paper underline the importance of noncognitive skills in raising the quality of jobs that individuals can obtain. This suggests that the development of noncognitive skills should be encouraged to be integrated into formal education systems and social job training programs in China.

Despite a growing interest in its consequences in the labor market, the role of noncognitive skills in determining educational mismatch has rarely been discussed in developing countries. This study provides the first evidence regarding the effects of noncognitive skills on education mismatch in China. It contributes to the research on noncognitive skills' labor market outcomes and enhances the understanding of the factors driving educational mismatch.

This study aims to explore the impact of personality traits on self-perceived employability (SPE) and test if the associations are mediated by knowledge sharing (KS) through online learning during the COVID-19 pandemic. In addition, the moderation effect of trust in the relationship between KS and SPE was examined.

Based on Big Five Personality Trait Model and KS model, the authors proposed and tested the research framework with 341 samples collected from university students who experienced online learning during the social distancing caused by the COVID-19 pandemic. The measurement model was assessed to confirm the validity and reliability of the structure, then hypothesis testing was performed with the partial least square-structural equational model (PLS-SEM).

The results showed that extraversion and agreeableness positively affected SPE through KS. Moreover, trust played a moderating role on the effect of KS on SPE.

Based on the research findings, the authors suggest that academic institutions, especially universities, should provide opportunities for students to explore their personality traits. Second, the university should organize specific activities that promote knowledge sharing among students. Third, the university should encourage the creation of platforms aimed at sharing knowledge in a reliable way that increases trust in responsiveness.

The present study contributes to the literature on SPE by presenting immediate empirical evidence on the relationship between personality traits and SPE, along with mediating and moderating effects. These findings provide meaningful implications for higher education institutions that implement online learning during challenging circumstances.

This study aims to propose and test an appraisal theory-based framework that depicts the impact of negatively valenced brand personality dimensions on brand hate development and the resultant outcomes of non-purchase intention and anti-brand actions. The study also delineates the moderation effect of Big Five consumer personality traits on brand personality-brand hate relationship.

An international sample of 370 brand haters was collected and analysed with partial least square-based structural equation modelling.

Both negatively valenced brand personality dimensions of responsibility and activity are significant predictors of brand hate in consumers, and this brand hate leads to outcomes of anti-brand actions and non-purchase intention of consumers. Moderation analysis delineates that the consumer personality trait of neuroticism significantly moderates the relationship between both brand personality dimensions and brand hate. The study also established the importance of national culture in defining consumers’ behavioural intentions.

This study provides a novel appraisal theory-based integrated framework to understand the relationship between cognition of brand personality, brand hate emotional state and behavioural actions of consumers. To the best of the authors’ knowledge, this study is the first to consider the impact of these personality dimensions on brand hate development while assessing the interaction effect of consumer and brand personality dimensions on brand hate development.

The purpose of this paper is to investigate what factors can affect individuals’ knowledge sharing on social media from the perspectives of personality traits and social capital.

A theoretical model was developed with reference to the personality traits theory and the social capital theory. Accordingly, a questionnaire was designed to collect the individuals’ ideas on knowledge sharing on social media and further test the model. The questionnaire was then distributed to two LINE groups. Finally, the collected data were analyzed using the partial least squares (PLS) approach.

Personality traits not only directly affect knowledge sharing, but also indirectly influence it via social capital. Of all personality traits, agreeableness, openness and extraversion directly and indirectly influence knowledge sharing.

Knowledge sharing is undertaken by individuals and social groups. It starts with individuals and then diffuses to other members of a group.

Group managers have to identify the members who are friendly, open-minded or extroverted and encourage them to act as the bellwethers for knowledge sharing under an effective regulatory regime, through which intra-group knowledge sharing can be promoted.

This study introduces a new model to explore knowledge sharing on social media from individual and social perspectives. It illustrates what will affect individuals’ knowledge sharing on social media.

Given the general consensus that creativity is a crucial driving force for innovation and progress, understanding how to promote it would benefit individuals, companies, society and academia. Therefore, this paper aims to analyze the independent and contingent impact of individuals’ personality traits, team-member exchange (TMX) and gender on stimulating creativity.

The study uses a survey-sample of 639 university students (51.96% women) between the ages of 17 and 50. Confirmatory factor analysis (CFA) demonstrated reliability and validity of its measures. To test hypotheses, using structural equation modeling, hierarchical regression analyses were performed.

Results show that four of the five personality traits (extraversion, agreeableness, conscientiousness and openness to experience) and TMX positively influence creativity. There are no significant differences between men’s and women’s creativity. High TMX reinforces the influence of extraversion on creativity, while low TMX harms this relationship. High extravert women are more creative than high extravert men, while low extravert men are more creative than low extravert women. Low emotionally stable women are more creative than low emotionally stable men, while high emotionally stable men are more creative than high emotionally stable women. There are differences in how women and men take advantage of their openness to experience when TMX is considered. That is, while women take advantage of openness to experience for any value of TMX, men only increase their creativity as openness to experience increases for low values of TMX.

Like all studies, ours has some limitations that provide opportunities for future research. First, care should be taken when generalizing these findings to other contexts. We use data from Spanish individuals, specifically university students. While they are suitable for testing our hypotheses, future studies should establish whether the general tendencies that we observe hold true for other kinds of people from Spain and other countries. Even more, this paper’s perspective might be biased by the authors’ country of origin (south Europe) in terms of gender. According to Hofstede (2001) south European and South American countries are more masculine than other cultures (Mensa and Grow, 2022). Therefore, analyzing these questions in different cultures (countries and settings) would facilitate the generalization of the results. Second, the data we use is mainly cross-sectional so strict causality cannot be inferred. The theory we use assumes specific causal directions, but alternative causal relationships cannot be ruled out. Finally, ideally, we should have controlled for additional variables that might influence the relationships in our model.

This paper has practical implications, as it demonstrates that neither gender is more creative than the other. It goes a step further, explaining how men and women can leverage their personality traits to be more creative. Moreover, since TMX could reinforce the impact of personality traits on creativity, this paper could help managers better organize teams and companies that want to be more innovative by taking into account the personality traits of their employees and how to get the best out of women and men.

Traditionally, women have considered creativity to be a man’s thing. The results of this work favor society, demonstrating that women are just as creative as men and that through personality traits and TMX, both men and women can be more creative. These results help to reduce the gender gap and may favor women’s place in today’s society.

This work offers academic and practical implications. The main contributions to the creativity and gender literatures are the following: (1) Women are as creative as men. (2) High extravert and low emotionally stable women are more creative than men. (3) High open to experience women with high TMX are more creative than men at any level of TMX. For practitioners, the understanding of what personality traits have higher impact on creativity depending on the levels of TMX for women and men could help companies and politicians in hiring the most suitable people, especially for those positions where creativity is needed. This would increase the quality of their human capital, allowing them to get the most out of their human resources, from the very beginning of the employment relationship.

The present study aims to investigate the relationship between innovative leadership and sustainable performance in the education sector. The present study also tested the moderation role of personality traits agreeableness, extraversion, emotional stability, conscientiousness and openness in the relationship.

Data for the present study were collected from 209 university teachers. The employed sampling technique was convenience, and the sample size was calculated through the Kerjis–Morgan method. Furthermore, a survey method using a questionnaire was used in this study. For the data analysis, SPSS and SmartPLS were used.

The present study found that innovative leadership has a significantly positive relationship with sustainable performance. Results also confirmed the moderating effects of personality traits such as agreeableness, extraversion, emotional stability, conscientiousness and openness.

The relationship between innovative leadership and sustainable performance for the first time in the education sector’s context. Secondly, this study contributed to the moderating role of personality traits such as agreeableness, extraversion, emotional stability, conscientiousness and openness between innovative leadership and sustainable performance, which was a yet-to-explored phenomenon. The study model was tested through the combination of the big five-factor model and the theory of planned behaviour, which is another novelty of the study.