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Article
Publication date: 5 February 2024

Rebecca J. Jones and Stephen A. Woods

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Journal of Managerial Psychology, vol. 39 no. 6
Type: Research Article
ISSN: 0268-3946

Keywords

Article
Publication date: 8 February 2024

Ruigang Wu, Xuefeng Zhao, Zhuo Li and Yang Xie

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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%.

Practical implications

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.

Originality/value

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.

Details

Personnel Review, vol. 53 no. 7
Type: Research Article
ISSN: 0048-3486

Keywords

Article
Publication date: 19 May 2023

Lixin Zhou, Zhenyu Zhang, Laijun Zhao and Pingle Yang

Online open innovation platforms provide opportunities for product users to participate in the innovation process and contribute their ideas to the platform. Nonetheless, they…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Originality/value

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.

Details

Aslib Journal of Information Management, vol. 76 no. 5
Type: Research Article
ISSN: 2050-3806

Keywords

Article
Publication date: 30 August 2024

José Manuel De Haro and Julio Vena

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.

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Practical implications

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.

Social implications

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.

Originality/value

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.

Details

International Journal of Organizational Analysis, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1934-8835

Keywords

Open Access
Article
Publication date: 5 September 2024

Yeojin Kil, Margaret Graham and Anna V. Chatzi

Provisions for the minimisation of human error are essential through governance structures such as recruitment, human resource allocation and education/training. As predictors of…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

Only two studies were identified in the healthcare sector.

Originality/value

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.

Details

International Journal of Health Governance, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2059-4631

Keywords

Article
Publication date: 9 September 2024

Andry Alamsyah, Fadiah Nadhila and Nabila Kalvina Izumi

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Data Technologies and Applications, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9288

Keywords

Article
Publication date: 25 September 2024

Mahdi Moradi, Mahdi Salehi and Salah Faleeh Mahdi Balah

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

Abstract

Purpose

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

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Journal of Islamic Accounting and Business Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1759-0817

Keywords

Article
Publication date: 31 May 2024

Upasana Seth and Harmeen Soch

This study aims to contribute to the darker side of consumer–brand interactions by examining the relationship between consumer-related antecedents, particularly consumer…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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 implications

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.

Originality/value

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.

Details

Journal of Product & Brand Management, vol. 33 no. 6
Type: Research Article
ISSN: 1061-0421

Keywords

Article
Publication date: 16 May 2024

Michael Lester, Faith Scanlon and Ashley Batastini

Studies evaluating the external validity of theoretically informed (risk-need-responsivity [RNR]) cognitive behavioral therapy (CBT) programs have not systematically assessed…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Journal of Criminal Psychology, vol. 14 no. 4
Type: Research Article
ISSN: 2009-3829

Keywords

Article
Publication date: 16 June 2023

Shahzeb Hussain, Suyash Khaneja, Kinnari Pacholi, Waleed Yousef and Michael Kourtoubelides

This study aims to examine the relationship between the personality dimensions of consumers and celebrities; the effect of celebrity personality on attitude towards the celebrity;…

Abstract

Purpose

This study aims to examine the relationship between the personality dimensions of consumers and celebrities; the effect of celebrity personality on attitude towards the celebrity; and the effect of attitude towards the celebrity on purchase intention.

Design/methodology/approach

Data were gathered from 400 respondents in the North of England to explore the connections between five consumer personality dimensions (agreeableness, extroversion, openness, conscientiousness and neuroticism) and nine celebrity personality dimensions (neuroticism, extroversion, openness, agreeableness, conscientiousness, sincerity, excitement, stylishness and positivity) and were analysed using structural equation modelling.

Findings

The findings suggested that some dimensions of consumer personality, i.e. conscientiousness, extroversion and openness, were significantly related to all the celebrity personality dimensions. Moreover, all the celebrity personality dimensions had a significant effect on consumers’ attitude towards the celebrity; however, only neuroticism, extroversion, openness, sincerity and positivity significantly affected purchase intention. Finally, attitude towards the celebrity had a significant effect on purchase intention.

Originality/value

The study introduces a celebrity personality scale and explores a topic that has not previously been researched.

Details

Journal of Asia Business Studies, vol. 18 no. 5
Type: Research Article
ISSN: 1558-7894

Keywords

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