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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.

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.

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.

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.

A nation's economic development is adversely affected by the rising population and the lack of employment opportunities, necessitating the promotion of entrepreneurial activities. This study aims to unfurl the critical factors shaping university students' entrepreneurial intentions (EI) in an emerging economy.

The study assessed the EI of 640 university students across India's top 5 central universities through structural equation modeling by extending the entrepreneurial event model (EEM) and dark triad theory. Mediation and moderation techniques were used to examine the model's direct and indirect linkages.

The results show that propensity to act (PTA), perceived resilience (PRS) and narcissism (NAR) magnify desirability, significantly increasing students' EI. The association between the underlying constructs is partially mediated by the PTA and perceived desirability (PD). In addition, the linkage between PD and students' EI is strengthened by the pursuit of excellence (PoE) and weakened by perceived risk (PR).

The study's findings could assist educators, universities, aspiring entrepreneurs, financial institutions, policymakers, investors, venture capitalists, incubators and accelerators in reinforcing entrepreneurial culture in India by establishing a link between crucial personality traits and intentions to start entrepreneurial ventures.

Personality traits such as NAR, resilience and the PoE have not received much attention in the entrepreneurship literature and call for a rigorous inquiry. The study tries to embrace these dominant personality traits by broadening the perspectives of EEM and dark triad theory via a comprehensive conceptual model. It also explores the role of the PoE and PR as moderators to examine the possible association between the identified constructs.

The research aims to provide a nuanced understanding of the complex social, psychological and organizational factors that serve as the foundation driving academics' knowledge-sharing behavior (KSB) within an academic enclave.

A cross-sectional research design using the partial least squares structural equation modeling (PLS-SEM) approach was employed to examine the determinants of personality traits among tertiary academics in Malaysia in relation to their KSB. To this end, a self-administered survey was distributed to a sample group of 526 respondents.

It is evident that conscientiousness and agreeableness are the personality traits that play a significant role in promoting KSB among academics in higher learning institutions (HLIs). These personality traits are positively linked with academics' willingness to transfer and receive knowledge. In contrast, the personality trait of openness to experience does not significantly influence KSB.

This study has employed a four-item measurement for evaluating the three distinct personality traits. Despite employing a brief measurement tool, the study has demonstrated significant reliability and validity, particularly in terms of convergent and discriminant validity.

The present study has revealed that conscientiousness in academics is intimately linked with their KSB, which is of paramount importance in the output-based education system. Notably, agreeableness among academics also conveys a positive effect on knowledge sharing (KS) in HLIs, as it cultivates trust and helpfulness among individuals and facilitates the exchange of valuable tacit knowledge.

This research explores the relationship between personality traits and KSB among Malaysian academics in HLIs. The study adopts the theories of planned behavior (TPB) and social capital theory (SCT) as theoretical ground, providing a nuanced understanding of the underlying motivations and mechanisms driving academics' knowledge-sharing behavior within the unique socio-cultural context of Southeast Asia.

The purpose of this study is to examine the influence of conscientiousness on entrepreneurship over and above the impact of other factors that are associated with entrepreneurship in the literature.

The design uses household responses from the Panel Study of Income Dynamics (PSID) biennial survey that follows the same heads of households over time to measure their conscientiousness, businesses owned and other demographic and financial characteristics. Ordinary least squares (OLS), Probit and Poisson regression techniques are applied at the head of household and state level to examine the relationship.

The results show heads of households’ conscientiousness positively relating to the average number of businesses owned, beyond other Big Five traits and the impact of other characteristics. A one-standard deviation increase in conscientiousness is significantly associated with a 0.012 increase in the number of businesses owned. This association is robust to alternative regression specifications and variable measurements.

The results are original to the finance literature, complementing studies by linking intrinsic head of household-level traits to entrepreneurship while controlling for external financial and demographic factors. The study also attempts to externally validate previous findings using aggregate-level outcomes. The data and setting used to measure personality traits as well as entrepreneurial outcomes are original to the entrepreneurship literature, validating previous findings.

This study aims to contribute to the darker side of consumer–brand interactions by examining the relationship between consumer-related antecedents, particularly consumer personality traits, in triggering brand-hate emotions. Additionally, the link between brand hate and brand forgiveness was also taken into account, as well as the moderating impact of personality attributes. The impact of brand forgiveness on consumer coping behavior was investigated, particularly for brand switching (flight) and negative word-of-mouth (NWOM) (fight) on Indian e-commerce shopping websites/apps.

Using a structured questionnaire survey and a nonprobability purposive sampling approach, data were obtained from 438 online shoppers who had experienced hate directed at a particular shopping website or app. The hypotheses were tested statistically using partial least squares (PLS) structural equation modeling with SmartPLS 4 software.

First, the findings demonstrate that agreeableness, extraversion and neuroticism significantly affected brand hate. Second, the results indicate that personality traits, particularly extraversion and conscientiousness from the Big-Five model, play a substantial role in moderating the relationship between brand hate and brand forgiveness. Third, the study also reveals the significance of brand forgiveness in mitigating the adverse consequences of NWOM and brand switching in the context of e-commerce platforms.

Practical steps such as complaint-management processes and prompt resolutions through an appropriate means of active interaction and understanding the consumer’s personality when their concerns are heard and handled can help brand managers earn customers’ forgiveness and reduce brand hate toward e-commerce websites/apps.

Based on the authors’ understanding, this study is the initial one to incorporate brand hate, brand forgiveness and coping strategies into the model in a service context with the interaction effect of consumer personality traits.

Studies evaluating the external validity of theoretically informed (risk-need-responsivity [RNR]) cognitive behavioral therapy (CBT) programs have not systematically assessed antisocial personality traits as a source of variability in outcomes. The purpose of this brief report is to examine antisocial traits as a potential source of variability in outcomes.

Using longitudinal, program-evaluation data (a sample of incarcerated men who were exposed to RNR-informed CBT), the authors examined how antisocial personality traits, attitudes toward treatment and dosage impacted treatment outcomes. A linear regression assessed the relationship between antisocial personality traits and attitudes toward treatment. A latent profile analysis identified participants with elevated antisocial traits and negative attitudes toward treatment. Treatment dosage groups (0, 5, 10 and 15 weeks) were used to assess treatment response per pro-criminal attitudes, skills and rates of recidivism.

Antisocial traits predicted negative attitudes toward treatment. Elevated antisocial traits and negative treatment attitudes predicted less change in criminal attitudes among those who completed 15 weeks of treatment; higher dosage did not significantly improve rates of recidivism. Variable-centered post hoc analyses largely corroborated these findings. These results suggest RNR-informed CBT may need to be modified for justice-involved persons with elevated antisocial traits.

Few studies have empirically examined the sources of variability in treatment effects for justice-involved persons with antisocial personality traits. This brief report provides a structured examination of factors that may impact treatment outcomes in this population, and therefore aims to inform future research on the effectiveness of empirically supported interventions for people in the legal system.