Testing The Impact Of Computer Self-Efficacy And Task Technology Fit On Individual Job Outcomes

Businesses and organizations spend large proportions of their annual budget on implementation of Information Technologies in the workplace, and train their employees to use them. Yet, there is no sufficient empirical evidence that approves that IT training and education make a difference in the workplace. This research is designed to examine the impact of task and technology fit on individual performance. The research model integrates elements from different theories and research models including task-technology fit model, computer self-efficacy model, and contingency theory. Hypotheses are task characteristics have strong impact on task-technology fit, while task-technology fit would predict individual outcomes directly. Besides computer self-efficacy will moderate the relationship between task characteristics and task-technology fit, and organizational structure would moderate the impact of task-technology fit on individual outcomes.An empirical research is conducted with the sample of 286 employees from 9 organizations. The major results are described as below:1. Task characteristics have significant influences on task-technology fit.2. Task-technology fit has strong impact on individual outcomes include performance, satisfaction and motivation.3. The moderating effect tests reveal that computer self-efficacy significantly moderate the relationship between task characteristics and task-technology fit.4. Organizational structure moderate the association between task-technology fit and individual performance and internal job motivation.However, managers should consider the alignment among task characters, computer skills and organizational environments when implementing information technologies in order to improve organization performance.