In order to provide better and more efficient services to the public, governments have strived to introduce effective information systems (IS) for their employees. While governments have spent considerable money on IS, understanding and measuring the success of IS become the most important tasks for managers. To determine the impact of IS on individual performance is one of the ways in measuring IS success, therefore, this study investigates the impact of IS on individual performance. Based on the task-to-performance chain, this study proposes a research model and seeks to investigate the implications and consequences of government employee performance via information systems. Data was collected from 847 employees of the Taipei City government through the stratified proportion sampling method. In addition, the multiple regression method is used to investigate factors that influence employee performance. The results indicate that three factors affect performance: task-technology fit, computer self-efficacy, and utilization; among them, the utilization was found to have the greatest positive effect on performance. In addition to verifying prior empirical findings, this study presents factors that influence employee performance and IS development work in the context of e-government. Meanwhile, the findings of this study also contribute insights for the government in developing more efficient IS, thus enhance the employee performance.
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