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Previous studies have shown how the nature of businesses and the strategies pursued by their owners are affected by the personality traits of their owners. These personality traits can be formed in the early stages of life due to experiences and the surrounding context, where religion is a particularly important aspect of this context. This study aims to explore how religion affects entrepreneurial activities through the personality traits created.

This study uses interviews with 43 Muslim entrepreneurs in Scotland to examine the role played by religion. This ensures that the national institutional context is kept consistent but also allows an in-depth examination of relationships, which are likely to be interlinked and recursive.

The traits created influence the nature of the entrepreneurial activities undertaken with the potential to harm and support the entrepreneurial endeavours. It is the combination of personality traits that are formed which have the greatest effect. As such, it is found that Muslim entrepreneurs display less openness and creativity associated with new ideas, but this does not reflect risk aversion rather hard work in itself is valued, and patience combined with an external locus of control mean entrepreneurial behaviours are not altered to boost poorly performing business activities.

For Muslim entrepreneurs in Scotland, their traits explain why growth may not be a foremost consideration of these entrepreneurs rather they may value hard work and meeting the ideals of formal and informal institutions associated with religion. For those seeking to support minority groups through the promotion of entrepreneurship, either they must seek to overcome these ingrained traits or alter support to complement the different objectives held by Muslim entrepreneurs.

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.

A specific area of interest in the coaching literature is focused on exploring the intersection of personality and coaching; however, research has yet to explore whether coaching exerts reciprocal effects on personality traits (i.e. if personality trait change can accompany coaching). Utilizing the explanatory theoretical framing of the Demands-Affordances TrAnsactional framework (Woods et al., 2019), we propose that coaching may indirectly facilitate personality trait change by firstly enabling the coachee to reflect on their behaviors, second, implement desired behavioral changes which consequently facilitate personality trait change.

A quasi-experiment was conducted to explore coaching and personality trait change. Students participating in a demanding, work-based team simulation (N = 258), were assigned to either an intervention group (and received one-to-one coaching) or a control group (who received no intervention). Personality traits were measured before and after coaching and positioned as the dependent variable.

Results indicate that participants in the coaching group exhibited significant changes in self-reported agreeableness, conscientiousness, extraversion and core self-evaluations, which all significantly decreased after coaching; however, no change was observed for the control group.

We provide the first exploration of coaching and personality trait change, contributing to both the coaching literature, by providing evidence regarding the efficacy of coaching to facilitate personality trait change in coachees, and the personality literature, by highlighting coaching as an important tool for those interested in personality trait change. Our research also has implications for other interventions such as mentoring, as we provide support for the notion that interventions can support personality trait change.

Online employee reviews have emerged as a crucial information source for business managers to evaluate employee behavior and firm performance. The purpose of this paper is to test the relationship between employee personality traits, derived from online employee reviews and job satisfaction and turnover behavior at the individual level.

The authors apply text-mining techniques to extract personality traits from online employee reviews on Indeed.com based on the Big Five theory. They also apply a machine learning classification algorithm to demonstrate that incorporating personality traits can significantly enhance employee turnover prediction accuracy.

Personality traits such as agreeableness, conscientiousness and openness are positively associated with job satisfaction, while extraversion and neuroticism are negatively related to job satisfaction. Moreover, the impact of personality traits on overall job satisfaction is stronger for former employees than for current employees. Personality traits are significantly linked to employee turnover behavior, with a one-unit increase in the neuroticism score raising the probability of an employee becoming a former employee by 0.6%.

These findings have implications for firm managers looking to gain insights into employee online review behavior and improve firm performance. Online employee review websites are recommended to include the identified personality traits.

This study identifies employee personality traits from automated analysis of employee-generated data and verifies their relationship with employee satisfaction and employee turnover, providing new insights into the development of human resources in the era of big data.

Coffee shops are becoming more aware that brand loyalty can be an effective strategy for securing a competitive edge in business. To supplement current understanding of the importance of coffee shop branding, this study investigates the role of personality traits and congruity in the formation of brand loyalty. This study finds that personality traits have direct effects on congruity and customer satisfaction, the two defining factors of brand loyalty. Overall, our results suggest that the interaction of personality traits, congruity, and satisfaction is essential to the process of influencing coffee shop customers’ brand loyalty.

This chapter proposes the development of a compound personality trait termed “goal propensity”. Motivation is a key determinant of performance in virtually all contexts, and personality has long been viewed as an important influence on motivation. Despite the long history of exploring how personality influences motivation, we do not have a clear understanding of the linkage between individual differences in personality and work motivation or the tools to reliably and accurately predict individual differences in motivation. Advances in our understanding of personality and the convergence of motivation theories around models of self-regulation present the opportunity to achieve that understanding and predictive efficacy. Goal propensity would be a theoretically derived trait that would explain the role of personality in self-regulation models of motivation as well as allow the prediction of tendencies to engage in self-regulation. This chapter provides the rationale for the development of this construct, articulates the nature of the proposed goal propensity construct, and explores the value of such a construct for theory, future research, and human resource practice.

In the ever-evolving digital landscape, this study aims to explore which specific personality traits contribute to the innovativeness of startups, with a particular emphasis on understanding how technology adoption mediates this relationship. By doing so, the authors strive to unveil the nuanced dynamics of personality, technology adoption and startup innovativeness in the digital era.

The authors conduct a quantitative empirical analysis using a sample of 1,314 German startups. This study utilizes a mediation analysis to examine the effects of personality traits on the innovativeness of startups, taking technology adoption as a mediator into account.

The empirical results show certain personality traits have direct effects on innovativeness. Also, the results show that technology adoption is a driver of startup innovativeness. In addition, these traits are (partially) mediated by technology adoption.

The results shed new light on the interplay of entrepreneurs' personality and technology adoption in relation to startup innovativeness and therefore underline the importance of technology in this triangular relationship. The authors employ secondary data from startups in Germany, which complicates generalization of the results to other geographical and cultural contexts.

This study contributes to the scientific debate on the role of personality traits in entrepreneurship by providing empirical evidence on the mediating effect of technology adoption in the relationship between personality traits and startup innovativeness. The findings offer valuable insights for researchers, entrepreneurs and policymakers interested in understanding and promoting innovativeness in the context of startups.

Identifying the best predictors of environmental citizenship behavior (ECB) has been a major concern of both researchers and educators aimed at protecting environmental quality and sustain person-environment transactions. This study aims to examine the unique contribution of personality traits and self-efficacy beliefs to the ECB of university youth in Sri Lanka.

Quantitative research approach used. The internet-based survey method was used to collect data from undergraduates studying at six state universities and two nonstate universities. The measurement items of five personality traits, ECB and academic self-efficacy were adopted on established scales from the literature.

Multiple regression results revealed that the personality traits of extraversion, agreeableness and openness to experience, as well as academic self-efficacy, are significant predictors of ECB. Extraversion, agreeableness, conscientiousness and openness to experience significantly influenced academic self-efficacy. Model 6 of the PROCESS macro results indicated that academic self-efficacy partially mediated the contribution of extraversion, agreeableness and openness to experience traits to ECB.

These findings have broad implications for interventions aimed at enhancing youth environmental behavior. Whereas personality traits represent stable individual characteristics that mostly derive from individual hereditary endowment.

The study showed a holistic approach in explaining ECB that combined both personality traits and self-efficacy beliefs, indicating that they are interrelated and should not be treated in isolation.

Online open innovation platforms provide opportunities for product users to participate in the innovation process and contribute their ideas to the platform. Nonetheless, they also present a significant challenge for platform managers, who select high-quality innovations from a massive collection of information with diverse quality.

In this study, the authors employed a machine learning method to automatically collect a real dataset of 2,276 innovations and 30,004 detailed comments from the online platform of IdeaExchange and then conducted empirical experiments to verify the study hypothesis.

Results show that extraversion, conscientiousness and openness to experience positively and directly influenced the quality of their innovation. Furthermore, an individual's social network position mediated among extraversion, neuroticism, conscientiousness and openness to experience and the quality of an innovation.

Results showed that extraversion, conscientiousness and openness to experience positively and directly influenced the quality of their innovation. Furthermore, an individual's social network position mediated among extraversion, neuroticism, conscientiousness, openness to experience and the quality of innovations.

This study combined the Big Five personality traits theory and social network theory to examine the association between user intrinsic personality traits, social network position and the quality of their innovative ideas in the context of online innovation platforms. Additionally, the findings provide new insights for platform managers on how to select high-quality innovation information by considering user personality traits and their social network position.