Journal of International Information Management


TJte process by which individuals accept or reject information technologies was theoretically explained in a model employing attributional relationships and computer self-ejficacy and outcome expectancy. The model was empirically tested using structural equations modeling and data collected in afield setting. The results provided partial confiirmation of the theory that attributions to ability, effort, luck, and task difficulty impact information system use mediated by computer self-ejficacy and outcome expectancy. The stable attributions of ability and task difficulty had meaningful impacts on computer self-ejficacy. Similarly, task difficulty had a meaningful impact on outcome expectancy. The unstable attributes of effort and luck demonstrated meaningful impacts on computer self-ejficacy but not outcome expectancy. In addition, these results showed that computer self-ejficacy had a significant impact on both outcome expectancy and computer system use.