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Five-factor model personality traits as predictors of perceived and actual usage of technology

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  • Tim Barnett
  • Allison W Pearson
  • Rodney Pearson
  • Franz W Kellermanns

Abstract

Understanding the adoption and use of technology is extremely important in the field of information systems. Not surprisingly, there are several conceptual models that attempt to explain how and why individuals use technology. Until recently, however, the role of personality in general, and the five-factor model (FFM) of personality in particular, had remained largely unexplored. Our study takes an interactional psychology perspective, linking components of the FFM to the use of technology within the conceptual framework of the Unified Theory of Acceptance and Use of Technology (UTAUT). After empirically confirming previous research findings linking performance expectancy, effort expectancy, and social influence to technology use, we test direct relationships between FFM personality traits and technology use in the context of a web-based classroom technological system, utilizing measures of perceived and actual use of technology. Consistent with expectations, conscientiousness and neuroticism are associated with perceived and actual use of technology, with conscientiousness demonstrating a positive association with both perceived and actual use and neuroticism, a negative association. Extraversion was also significantly associated with actual use, although not in the positive direction expected. Further, the significant relationships between the personality traits and the actual use of technology were direct and not mediated by expressed intentions to use the system.

Suggested Citation

  • Tim Barnett & Allison W Pearson & Rodney Pearson & Franz W Kellermanns, 2015. "Five-factor model personality traits as predictors of perceived and actual usage of technology," European Journal of Information Systems, Taylor & Francis Journals, vol. 24(4), pages 374-390, July.
  • Handle: RePEc:taf:tjisxx:v:24:y:2015:i:4:p:374-390
    DOI: 10.1057/ejis.2014.10
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    Cited by:

    1. Tin Horvatinovic & Mihaela Mikic & Marina Dabić, 2023. "Dissecting entrepreneurial team research: a bibliometric analysis," Review of Managerial Science, Springer, vol. 17(8), pages 2973-3011, November.

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