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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.

The objective of this study was to investigate the impacts of personality traits and the ability to detect fake news on information avoidance behavior. It also examined the effect of personality traits on the ability to detect fake news.

The sample population included Shiraz University students who were studying in the second semester of academic year 2021 in different academic levels. It consisted of 242 students of Shiraz University. The Big Five theory was used as the theoretical background of the study. Moreover, the research instrument was an electronic questionnaire consisting of the three questionnaires of the ability to detect fake news (Esmaeili et al., 2019, inspired by IFLA, 2017), the Big Five personality traits (Goldberg, 1999) and information avoidance (Howell and Shepperd, 2016). The statistical methods used to analyze the data were Pearson correlation and stepwise regression, which were performed through SPSS software (version 26).

The results showed that from among the five main personality factors, only neuroticism had a positive and significant effect on information avoidance. In addition, the ability to detect fake news had a significant negative effect on information avoidance behavior. Further analyses also showed positive and significant effects of openness to experience and extraversion on the ability to detect fake news. In fact, the former had more predictive power.

Following the Big Five theory considering COVID-19 information avoidance and the ability to detect COVID-19 fake news, this study shifted the focus from environmental factors to personality factors and personality traits. Furthermore, this study introduced the ability to detect fake news as an influential factor in health information avoidance behaviors, which can be a prelude for new research studies.

The present study applied the five main personality factors theory in the context of information avoidance behavior and the ability to detect fake news, and supported the effect of personality traits on these variables.

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.

Technology serves as a key catalyst in shaping society and the economy, significantly altering customer dynamics. Through a deep understanding of these evolving behaviors, a service can be tailored to address each customer's unique needs and personality. We introduce a strategy to integrate customer complaints with their personality traits, enabling responses that resonate with the customer’s unique personality.

We propose a strategy to incorporate customer complaints with their personality traits, enabling responses that reflect the customer’s unique personality. Our approach is twofold: firstly, we employ the customer complaints ontology (CCOntology) framework enforced with multi-class classification based on a machine learning algorithm, to classify complaints. Secondly, we leverage the personality measurement platform (PMP), powered by the big five personality model to predict customer’s personalities. We develop the framework for the Indonesian language by extracting tweets containing customer complaints directed towards Indonesia's three biggest e-commerce services.

By mapping customer complaints and their personality type, we can identify specific personality traits associated with customer dissatisfaction. Thus, personalizing how we offer the solution based on specific characteristics.

The research enriches the state-of-the-art personalizing service research based on captured customer behavior. Thus, our research fills the research gap in considering customer personalities. We provide comprehensive insights by aligning customer feedback with corresponding personality traits extracted from social media data. The result is a highly customized response mechanism attuned to individual customer preferences and requirements.

This paper aims to explore how narcissistic traits and personality influence entrepreneurial behaviour. In entrepreneurship and psychology, research has shown that narcissism and personality have “productive” and “unproductive” influences on entrepreneurial activities. Therefore, this paper explores the entrepreneur from a social constructionist perspective by using the narrative from the emerging literature. The narrative focus is on narcissism, entrepreneurial personality and the intention to start a new venture, focusing on activities in the early stages of entrepreneurship.

This study draws upon the narcissism theory and the big five personality models. Using the conceptual model, the authors identify commonalities with entrepreneurial activities such as product and service development, market competitive strategies, marketing, networking, performance management, learning from failure and fund-raising activities. The conceptual framework demonstrates a connection between narcissism, the big five personality and entrepreneurial activities.

This study proposes an innovative conceptual framework for productive entrepreneurial behaviour. Productive traits of the grandiose narcissist are extraversion and openness to experience, which may have positive influences on the entrepreneurship process. Traits such as assertiveness, overconfidence and intellect have been found to be instrumental in resource acquisition activities. Findings also suggest that the grandiose narcissist will be high in openness to experience (intellect) and extraversion (excitement and social networking). The narcissist is most likely to choose an internal source of funding to protect their fragile ego and maintain control over their entities. Those with high extraversion and openness to experience may be more open to pursuing external sources of funding, as they are more inclined to have social networks and enjoy the external process. Though the study focuses on the “dark trait productivity” of narcissism, it is important not to overlook the damaging side of the narcissistic entrepreneur – “dark trait unproductivity”. The study also discusses the unproductive traits of narcissistic entrepreneurs, such as constantly chasing goals, deflecting and blaming the environment and others for failure, embarking on risky financial decisions, a lack of empathy in team dynamics and poor stakeholder management.

The influence of narcissism on entrepreneurial activities and its impact have gained traction among academia and practitioners. Yet, this is an insufficiently understood area of study and has not been explored in depth. Previous research has focused chiefly on entrepreneurial intentions in the context of entrepreneurship, and what influences the choice to start a business. There is limited research that bridges the gap between entrepreneurial finance and psychology–narcissism personality.

This study investigates the influence of personality traits on the personal digital hoarding behaviors of college students. Emotional attachment is included as a mediating variable, thereby enhancing the relevant theoretical frameworks associated with such behaviors.

A total of 370 college students were investigated using the Big Five personality scale, the digital hoarding behaviors scale, and a self-compiled emotional attachment scale. The collected data were analyzed using SPSS26.0 software.

Personality traits exerted a significant influence on individual digital hoarding behaviors, among which neuroticism (r = 0.526**), extroversion (r = 0.232**), and agreeableness (r = 0.233**) demonstrated notable effects. However, no significant correlation was found to link conscientiousness and openness with personal digital hoarding behaviors. Emotional attachment (r = 0.665**) significantly impacted personal digital hoarding behaviors. Regression analysis further showed that personality traits also affect personal digital hoarding behaviors through the partial mediating effect of emotional attachment. Dependency security was identified as a partial mediator of the effects of agreeableness and neuroticism on personal digital hoarding behaviors. Possession attachment was observed to be another partial mediator of the relationship between neuroticism and personal digital hoarding behaviors. Furthermore, fear of missing out was observed to partially mediate the effects of agreeableness and neuroticism on personal digital hoarding behaviors.

The generalizability of the self-compiled emotional attachment scale requires further verification in future research, as the selection of participants was relatively simplistic.

Our study showed the distinctive personality traits of individuals and their relationship with personal digital hoarding behaviors, along with the mediating role of emotional attachment. Our findings provide valuable insights for future personal information management and digital hoarding de-cluttering.

This research explores the influence of personality traits on the personal digital hoarding behaviors of college students and examines the mediating role of emotional attachment.

This study aims to investigate the relationship between personality traits and innovative behaviour, using a mixed-methods approach to provide deeper insights into these dynamics.

The authors used a mixed-methods approach, integrating fuzzy set qualitative comparative analysis (fsQCA) with traditional multiple linear regression analysis. This study was conducted among 76 university graduates, using the Big Five personality model and the Innovator DNA model to assess innovative behaviour.

The findings reveal significant positive correlations between conscientiousness, extraversion and innovative behaviour. The inclusion of fsQCA allowed for a more nuanced understanding of the complex interactions between personality traits and innovative behaviour, highlighting configurations of traits that traditional methods may overlook.

This study's sample size and focus on university graduates may limit the generalisability of the findings. Future research should explore these relationships in more diverse populations and settings to enhance generalisability.

The insights gained from this study can inform the development of more effective talent management strategies, helping organisations to better align personality traits with roles that demand high innovation. This approach can optimise team composition and improve innovative output.

Understanding the configurations of personality traits that lead to innovative behaviour can help educational institutions and organisations foster environments that support diverse and innovative thinking, ultimately contributing to societal progress.

This research contributes to the literature by demonstrating the efficacy of fsQCA in capturing the complexities of human behaviour, particularly in the context of personality traits influencing innovation. By combining qualitative and quantitative analyses, this study provides a comprehensive perspective that enhances both methodological rigour and the depth of understanding in psychological and innovation studies.

Research in the field of intrapreneurial behaviour (IB) is developing in terms of the personality results of employees in various occupations. An important developing field is the study of how personality traits (PTs) influence occupational results. While previous theories like situationism focus on the impact of situations, the role of situations as a catalyst for personality in the context of IB has not been explored. Theories like person-job fit have also established the personality-job resemblance for performance measures. This paper aims to conceptualize the activation of PTs for IB responses from employees using trait activation theory (TAT).

The TAT explains the personality-triggering effect in diverse situations for performance measures. Plenty of research studies have established IB of employees as a performance measure at the individual level that further rejuvenates organisational performance measures. The current study aims to conceptualise how personality and situational factors interact to affect IB outcomes in firms using the TAT. Employees in different occupations utilise personality coherent conflict handling styles (CHS) to manage conflict situations, which might serve as situational cues to activate personality effects in employees engaged in IB.

A theoretical framework for understanding how situational cues activate PTs for IB development has been proposed in this study.

The findings of the study have repercussions for pedagogy and the practices that are currently used in human resource management.

The study concludes with a series of propositions by arguing and supporting literature on existing conceptions of the trait activation process. Attempting to advance the conceptualisation of TAT, the study also offered implications for theory, pedagogy and practice regarding the relationship between PTs, CHS and IB.

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.

Prioritization of technological skills in China has led to scarce resources for art education. In this study, we tested whether personality traits were associated with creative learning and creative thinking skills, and whether these aspects of creativity were linked with academic achievement. We considered self-efficacy and 21st-century skills as mediating and moderating factors.

498 art school coaches were recruited from 12 Chinese universities. Coaches reported on their students’ Big Five personality traits, creative thinking skills, creative learning and self-efficacy, 21st-century skills and academic achievement. Data were analyzed with partial least squares structural equation modeling.

High openness, low conscientiousness, high extraversion and high agreeableness were associated with creative thinking skills, while high openness, low conscientiousness, high agreeableness and low neuroticism were associated with creative learning. Creative thinking and learning skills were both positively associated with academic achievement. Self-efficacy partially mediated the association between creative thinking skills and academic achievement. No moderation effects were identified.

Findings imply that art education would benefit from deeper consideration of individual differences and the promotion of learning environments conducive to creativity.