Research Note ---How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Use
Sarv Devaraj (),
Robert F. Easley () and
J. Michael Crant ()
Additional contact information
Sarv Devaraj: Management Department, Mendoza College of Business, University of Notre Dame, Notre Dame, Indiana 46556
Robert F. Easley: Management Department, Mendoza College of Business, University of Notre Dame, Notre Dame, Indiana 46556
J. Michael Crant: Management Department, Mendoza College of Business, University of Notre Dame, Notre Dame, Indiana 46556
Information Systems Research, 2008, vol. 19, issue 1, 93-105
Abstract:
The five-factor model (FFM) of personality has been used to great effect in management and psychology research to predict attitudes, cognitions, and behaviors, but has largely been ignored in the IS field. We demonstrate the potential utility of incorporating this model into IS research by using the FFM personality factors in the context of technology acceptance. We propose a dispositional perspective to understanding user attitudes and beliefs, and examine the effect of user personality---captured using the FFM's big five factors---on both the perceived usefulness of and subjective norms toward the acceptance and use of technology. Using logged usage data from 180 new users of a collaborative technology, we found general support for our hypotheses that the FFM personality dimensions can be useful predictors of users' attitudes and beliefs. We also found strong support for the relationships between intention to use and system use.
Keywords: personality; five-factor model; technology acceptance; system use; collaborative technology (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (50)
Downloads: (external link)
http://dx.doi.org/10.1287/isre.1070.0153 (application/pdf)
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:inm:orisre:v:19:y:2008:i:1:p:93-105
Access Statistics for this article
More articles in Information Systems Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().