Performance impacts of is at the individual level: An integrated model

In this paper, we propose an integrated model that explains performance impacts of IS at the individual level. We include nature of IS use, task-technology-fit and IS use as determinants of performance impacts of IS at the individual level. Based on data from 434 respondents from different functional areas in six different organizations, we empirically validate the integrated model for an individual IS productivity application. Our results indicate that integrated model explains nearly 60% of the variance in performance impacts of IS at the individual level. Overall, the results provide support to our position that the integrated model provides a fuller understanding of performance impacts of IS at the individual level by including both task-technology-fit and nature of IS use, an aspect not addressed in the extant IS literature. The theoretical contribution of this research lies in the development of a model for performance impacts of IS that has significantly higher explanatory power than the existing models.