資訊科技快速的發展，企業導入資訊系統來改善行政人員的績效，已蔚為一種趨勢，許多企業會利用電腦科技並發展適合自己企業內部之資訊系統，以便能達到有效管理的目的；這股持續使用資訊系統的風潮，也造就出電子化政府的概念。順應這股潮流，各國政府也積極導入有效的資訊系統給內部人員使用，以提供e化服務給民眾，在這種情況下，如何有效的評估資訊系統，是政府實施電子化後重要的議題。
本研究的目的，是希望在電子化政府的背景下，建構並驗證出政府資訊系統的評估模式。經由先前有關資訊系統評估模式與理論的探討，本研究以三種模式來探討資訊系統評估模式，第一組模式是採用任務-科技配適度簡化模式，探討任務-科技配適度、使用行為、績效間之關係，第二組模式將電腦自我效能加入修正式任務-科技配適度簡化模式中，探討電腦自我效能、任務-科技配適度、使用行為、績效之間的關係，第三組模式是將認知有用性視為使用行為的前置因素，加入修正式任務-科技配適度模式中。資料的搜集，是以台北市政府內部人員為對象，以分層比例抽樣法獲得847份樣本，並以多元迴歸作為分析資料的方法。研究結果顯示，使用行為對績效的影響效果最強烈，且認知有用性可視為使用行為的前置因素。本研究除了驗證任務-科技配適度模式外，也提出了多項實務上的意見，這些意見，可以提供給有意推行電子化政府政策的政府機構，作為有用的依據與參考準則。

With the rapid development of information technology, the use of information systems (IS) to improve employee performance in organizations is evolving. Organizations are utilising computer technology and developing their own IS for more efficient management. The growing utilization of IS has resulted in rapid development of the electronic government (e-government) concept. Along with this tendency, governments have strived to introduce effective IS for employees to provide e-service to the public. Accordingly, the evaluation of IS has become an important theme in the context of e-government.
The purpose of this study is to develop and validate the most effective information systems evaluation model under the electronic government policy. Through the investigation of prior studies regarding information systems evaluation models and theories, this study conducted three research models to investigate the information systems evaluation model. The first study, a research model, based on task-technology fit reduced model, was proposed to investigate the relationship among task-technology fit, utilization, and performance impacts. In the second research model, computer self-efficacy was added into the revised task-technology fit reduced model to investigate the relationship among computer self-efficacy, task-technology fit, utilization, and performance impacts. In the third research model, perceived usefulness was added into the revised task-technology fit model as the precursor of utilization. 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 analyse data. The results indicated that utilization was found to have the greatest positive effect on performance, and perceived usefulness is the precursor of utilization. In addition to verifying task-technology fit model, many practical opinions related are proposed, these opinions will be a very useful reference and standard for any government organization which is planning to promote e- government.

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