Exploring the relationship between personality traits and innovative behaviour: a mixed-methods approach

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.

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Publication Details

Journal
International journal of organizational analysis
Published
2024-08-29
DOI
https://doi.org/10.1108/ijoa-04-2024-4461
Citations
9
Primary Topic
Entrepreneurship Studies and Influences
Type
article
Field-Weighted Citation Impact
6.58
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article

Exploring the relationship between personality traits and innovative behaviour: a mixed-methods approach

José Manuel de Haro García, Julio Vena
9 citations
International journal of organizational analysis
Entrepreneurship Studies and Influences
6.58
article

Exploring the relationship between personality traits and innovative behaviour: a mixed-methods approach

José Manuel de Haro García, Julio Vena
article en
9 citations

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.

International journal of organizational analysisVol. 33(7)
Universitat de Miguel Hernández d'Elx (ES), Universidad de Jaén (ES)
Industry, innovation and infrastructure
Openalex Percentile: Top 4%
Entrepreneurship Studies and Influences
6.58
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