How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Use.

Author List: Devaraj, Sarv; Easley, Robert F.; Crant, J. Michael;
Information Systems Research, 2008, Volume 19, Issue 1, Page 93-105.
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: collaborative technology; five-factor model; personality; system use; technology acceptance
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#155 0.307 technology research information individual context acceptance use technologies suggests need better personality factors new traits telemedicine adoption examined does management
#99 0.181 perceived usefulness acceptance use technology ease model usage tam study beliefs intention user intentions users behavioral perceptions determinants constructs studies
#140 0.130 model use theory technology intention information attitude acceptance behavioral behavior intentions research understanding systems continuance models planned percent attitudes predict
#284 0.097 users user new resistance likely benefits potential perspective status actual behavior recognition propose user's social associated existing base using acceptance
#174 0.077 use support information effective behaviors work usage examine extent users expertise uses longitudinal focus routine revealed volume constructs contributes operations
#285 0.054 effects effect research data studies empirical information literature different interaction analysis implications findings results important set large provide using paper