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This study aims to examine the status of personality dysfunction and its sociodemographic and psychological correlates among university students in Jordan.

This study used a cross-sectional, descriptive-correlational design. It was conducted in Jordan targeting 440 university students using a structured format of online survey during the period January to February 2024. Academic anxiety, loneliness, personality dysfunctions and self-esteem were the used measures in this study.

Students had moderate levels of global personality dysfunction, low to moderate levels of perception of self-esteem toward themselves, moderate to high levels of academic stress and moderate levels of loneliness. The analysis showed a significant and positive association between academic year and personality dysfunction (p = 0.004). On the contrary, no significant relationship was detected between GPA and personality dysfunction (p = 0.073). Using regression analysis, the model that included all the variables was significant (F _6,439 = 8.67, p < 0.001). In this model, the analysis showed that loneliness in the relationship with family (B = 2.08, p < 0.001) and loneliness due to friendship (B = 1.20, p = 0.035) are significant risk factors for developing personality dysfunctions.

One limitation of this study is related to the sample and the setting. The use of an online survey and convenience sampling techniques resulted in underrepresentation of the entire types of universities.

The research provides empirical insights into the association between personality dysfunction among university students and feelings of loneliness, which vary depending on students academic level. Additionally, academic anxiety and self-esteem were found to be associated with or predictive of personality dysfunctions among students.

The current research enhances our understanding of the factors contributing to personality dysfunctions among university students. Connectedness to family and strong robust binding to friends served as protective against personality dysfunctions.

This study emphasizes the role of social relationships and psychosocial well-being in enhancing the mental well-being of university students.

This study aims to investigate the factors affecting the professional judgment of auditors in Iraq (personality type, audit firm size and age).

The statistical population includes 1,750 participants, and the sample size was determined to be 309 participants using Cochran’s sampling formula. The required data has been collected through a questionnaire. Regression factor analysis, Kolmogorov–Smirnov, t and Friedman(f) tests were used to analyze the variables and examine their relationships.

The results show a significant relationship between neuroticism, extroversion, flexibility, agreeableness and conscientiousness and auditors’ professional judgment. No relationship was observed between the size of the auditing firm and professional judgment. The results also showed a significant relationship between seniority and auditors’ professional judgment.

This study will help increase the knowledge of investors and regulators, providing information to researchers and those interested in auditors’ professional judgment. It can also be a starting point for research in this field. This research investigates the auditor characteristics, including personality traits of auditors, audit firms’ size and age and their impact on auditors’ professional judgment.

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.

Mental health issues negatively affect employees’ quality of life and employers’ bottom line. Consequently, ensuring well-being in the workplace is becoming a high priority from a strategic human resource management perspective. Drawing on basic psychological needs theory, we propose that proactive personality will be related to mental well-being through satisfaction of basic psychological needs. In addition, drawing on the trait-by-trait interactions perspective, we expect the mediated relationship to be moderated by conscientiousness.

We tested our research model using data collected from 185 employees using a three-wave time-lagged design.

Proactive personality related to mental well-being indirectly, via psychological need satisfaction, and this indirect relationship was stronger at higher levels of conscientiousness.

Ensuring mental well-being of employees is critical to achieving a competitive advantage. Support for the mediating role of need satisfaction suggests that organizations can tailor interventions aimed at influencing the more malleable mediating variable, psychological need satisfaction, compared to relatively stable personality traits.

We contribute to theory by testing a theoretical explanation for how and why personality affects mental well-being. Another theoretical contribution is demonstrating that mental well-being results from a combination of personality traits, with a trait-by-trait perspective fitting the data better than an unconditional trait model.

The purpose of this study is to investigate how social capital resources (SCRs), proactive personality and perceived organizational support (POS) influence work engagement during the organizational socialization process through the lens of self-determination theory (SDT).

Drawing upon a sample of newly hired employees from diverse industries, data was collected using self-report measures. A total of 619 respondents’ data were qualified for analysis. Regression analysis and structural equation modeling with the bootstrap method were used for hypothesis testing.

Results indicate that newcomers who used effective organizational socialization tactics (OSTs) experienced higher levels of work engagement. Moreover, SCRs were crucial in shaping the relationship between OSTs and work engagement. Specifically, newcomers with greater SCRs exhibited increased work engagement, enhancing effective OSTs’ positive impact. Furthermore, proactive personality and POS traits moderate the relationship between SCRs and work engagement. Newcomers with a proactive personality were more likely to leverage their SCRs, leading to higher work engagement effectively.

This study underscores the importance of promoting social connections, organizational support, proactivity and positive relationships to enhance employee work engagement and overall well-being in the Pakistani context.

This study examines how SCRs, proactive personality and POS influence work engagement during organizational socialization, a novel area in newcomer adjustment. It highlights the importance of strategic socialization and targeted onboarding programs that enhance SCRs and proactive personalities. By integrating SDT with the cultural context of Pakistani organizations, it offers unique insights for improving newcomer adjustment and engagement.

Provisions for the minimisation of human error are essential through governance structures such as recruitment, human resource allocation and education/training. As predictors of safety attitudes/behaviours, employees’ personality traits (e.g. conscientiousness, sensation-seeking, agreeableness, etc.) have been examined in relation to human error and safety education.

This review aimed to explore research activity on the safety attitudes of healthcare staff and their relationship with the different types of personalities, compared to other complex and highly regulated industries. A scoping review was conducted on five electronic databases on all industrial/work areas from 2001 to July 2023. A total of 60 studies were included in this review.

Studies were categorised as driving/traffic and industrial to draw useful comparisons between healthcare. Certain employees’ personality traits were matched to positive and negative relationships with safety attitudes/behaviours. Results are proposed to be used as a baseline when conducting further relevant research in healthcare.

Only two studies were identified in the healthcare sector.

The necessity for additional research in healthcare and for comparisons to other complex and highly regulated industries has been established. Safety will be enhanced through healthcare governance through personality-based recruitment, human resource allocation and education/training.

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.

Based on the theoretical predictions of media equation theory and the computers-are-social-actors (CASA) perspective, this study aims to examine the effects of performance error type (i.e. logical, semantic or syntactic), task type and personality presentation (i.e. dominant/submissive and/or friendly/unfriendly) on users’ level of trust in their personal digital assistant (PDA), Siri.

An experimental study of human–PDA interactions was performed with two types of tasks (social vs functional) randomly assigned to participants (N = 163). While interacting with Siri in 15 task inquiries, the participants recorded Siri’s answers for each inquiry and self-rated their trust in the PDA. The answers were coded and rated by the researchers for personality presentation and error type.

Logical errors were the most detrimental to user trust. Users’ trust of Siri was significantly higher after functional tasks compared to social tasks when the effects of general usage (e.g. proficiency, length and frequency of usage) were controlled for. The perception of a friendly personality from Siri had an opposite effect on social and functional tasks in the perceived reliability dimension of trust and increased intensity of the presented personality reduced perceived reliability in functional tasks.

The research findings contradict predictions from media equation theory and the CASA perspective while contributing to a theoretical refinement of machine errors and their impact on user trust.

The study aims to identify the practical borders of AI legal personality and accountability in human-centric services.

Using a framework tailored for AI studies, this research analyses structured interview data collected from auditors based in Poland.

The study identified new constructs to complement the taxonomy of arguments for AI legal personality: cognitive strain, consciousness, cyborg paradox, reasoning replicability, relativism, AI misuse, excessive human effort and substitution.

The insights presented herein are primarily derived from the perspectives of Polish auditors. There is a need for further exploration into the viewpoints of other key stakeholders, such as lawyers, judges and policymakers, across various global contexts.

The findings of this study hold significant potential to guide the formulation of regulatory frameworks tailored to AI applications in human-centric services. The proposed sui generis AI personality institution offers a dynamic and adaptable alternative to conventional legal personality models.

The outcomes of this research contribute to the ongoing public discourse on AI’s societal impact. It encourages a balanced assessment of the potential advantages and challenges associated with granting legal personality to AI systems.

This paper advocates for establishing a sui generis AI personality institution alongside a joint accountability model. This dual framework addresses the current uncertainties surrounding human, general AI and super AI characteristics and facilitates the joint accountability of responsible AI entities and their ultimate beneficiaries.

The personalities of leaders have been shown to impact the culture of their organizations and are also expected to have a more distal impact on the firm’s financial performance. However, the authors also expect that leader gender is an important intervening variable such that exhibiting various personality dimensions may result in unique cultural and performance-based outcomes for women and men leaders. Thus, the authors seek to examine first the impact of leader personality on organizational performance, as driven through organizational culture as a mediating mechanism. In doing so, the authors propose the expected impact of specific personality dimensions on certain types of organizational cultures, and those cultures’ subsequent impact on the organization’s performance. The authors then extend to consider the moderating effects of leader gender on the relationship between leader personality and organization. To support their propositions, the authors draw from upper echelons and implicit leadership theories. The authors encourage researchers to consider the proposition within a sample of the largest publicly traded US companies (i.e., Fortune 500) at an important era in history such that for the first time, 10% of these companies are led by women. In doing so, the authors hope to understand the leadership dynamics at the highest echelons of corporate governance and provide actionable insights for companies aiming to optimize their leadership composition and drive sustainable performance.