Electronic Journal of e-Government Volume 7 Issue 3 2009 (pp. 227 - 240)
AUTHOR:
Pin Luarn
Kuo-Liang Huang
ABSTRACT:
Based on the task-to-performance chain, this study 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. 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 information systems development work in the context of e-government.
Keywords: task-to-performance chain, task-technology fit, computer self-efficacy, performance, e-government
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