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

Tim Barnett, Allison W Pearson, Rodney Pearson and Franz Kellermanns

European Journal of Information Systems, 2015, vol. 24, issue 4, 374-390

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.

Date: 2015
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://hdl.handle.net/10.1057/ejis.2014.10 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tjisxx:v:24:y:2015:i:4:p:374-390

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjis20

DOI: 10.1057/ejis.2014.10

Access Statistics for this article

European Journal of Information Systems is currently edited by Par Agerfalk

More articles in European Journal of Information Systems from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().