Author List: Malhotra, Yogesh; Galletta, Dennis;
Journal of Management Information Systems, 2005, Volume 22, Issue 1, Page 117-151.
In recent years, several organizations have implemented nonmandatory information and communication systems that escape the conventional behavioral logic of understanding acceptance and usage from a normative perspective of compliance with the beliefs of others. Because voluntary systems require users' volitional behavior, researchers have traced recent implementation failures to a lack of user commitment. However, gaps in our understanding of volitional usage behavior and user commitment have made it difficult to advance theory, research, and practice on this issue. To validate a proposed research model, cross-sectional, between-subjects, and within-subjects field data were collected from 714 users at the time of initial adoption and after six months of extended use. The model explained between 44.1 percent and 58.5 percent of the variance in adoption and usage behavior based upon direct effects of user commitment. Findings suggest that user commitment plays a critical role in the volitional acceptance and usage of such systems. Affective commitment--that is, internalization and identification based upon personal norms--exhibits a sustained positive influence on usage behavior. In contrast, continuance commitment--that is, compliance based upon social norms--shows a sustained negative influence from initial adoption to extended use. Theory development based upon Kelman's social influence framework offers new empirical insights about system users' commitment and how it affects volitional usage behavior.
Keywords: affective processes; cognitive processes; information systems acceptance and use; multidimensional commitment model; personal norms; psychological attachment; social influence theory; social norms; systems implementation; user commitment; volitional usage behavior
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#140 0.333 model use theory technology intention information attitude acceptance behavioral behavior intentions research understanding systems continuance models planned percent attitudes predict
#153 0.164 usage use self-efficacy social factors individual findings influence organizations beliefs individuals support anxiety technology workplace key outcome behavior contextual longitudinal
#227 0.103 commitment need practitioners studies potential role consider difficult models result importance influence researchers established conduct investigated establishing appear clearly determining
#116 0.076 research study influence effects literature theoretical use understanding theory using impact behavior insights examine influences mechanisms specifically context perspective findings
#284 0.074 users user new resistance likely benefits potential perspective status actual behavior recognition propose user's social associated existing base using acceptance