TASK-TECHNOLOGY FIT AND INDIVIDUAL-PERFORMANCE

A key concern in Information Systems (IS) research has been to better understand the linkage between information systems and individual perf ormance. The research reported in this study has two primary objective s: (1) to propose a comprehensive theoretical model that incorporates valuable insights from two comple mentary streams of research, and (2) to empirically test the core of the model. At the heart of the new mo del is the assertion that for an information technology to have a posi tive impact on individual performance, the technology: (1) must be uti lized and (2) must be a good fit with the tasks it supports. This new model is moderately supported by an analysis of data from over 600 ind ividuals in two companies. This research highlights the importance of the fit between technologies and users' tasks in achieving individual performance impacts from information technology. It also suggests that task-technology fit, when decomposed into its more detailed component s, could be the basis for a strong diagnostic tool to evaluate whether information systems and services in a given organization are meeting user needs.