數位學習(e-Learning)具有低成本、富彈性的學習內容以及不受時間、空間限制等優點，其優勢已被廣泛認可和接受，訓練單位或機構通常花費可觀經費建置數位學習平臺。惟以往數位學習的研究，多以在校學生為對象進行調查與分析，少有以在職人士的學習為研究之主題，而公務族群乃以往研究所更少接觸者，惟其素質之良瓢直接影響政府之行政效能，且政府所費不貲，故其使用政府部門數位學習(e-government learning)的行為值得關注。
本研究旨在探討公務人員使用政府數位學習之「使用意向」的關鍵影響因素。主要是以整合型科技接受與使用理論( Unified Theory of Acceptance and Use of Technology，簡稱UTAUT )為研究架構的理論基礎，並考量研究對象之特性，將模型加以延伸，納入影響公務人員是否使用數位學習的關鍵因素以期能充分展現研究對象之特性。本研究增加「障礙因素」、「政策因素」與「行為態度」等構面。使該理論模式呈現較以往之研究更為完整的觀點，並能提高UTAUT理論模型之解釋力。研究結果顯示，延伸UTAUT模型，除可充分展現研究對象之特性外，並能找出關鍵因素以供e-government learning管理當局策略制定之參考。研究成果對e- learning之理論擴展及實務運用，均有助益，可供後續研究及數位學習之管理機關參考。

E-learning is a popular training method worth adopting, featuring a number of advantages such as low variable costs, flexible learning content, and independence from time and space constraints.　The competence of public servants has a direct impact on a country’s administrative performance, for which governments provide considerable funding and training. Therefore, their behaviors toward e-government learning are worth examining. Most studies have based their investigations and analyses of e-learning on in-school classroom teaching. Scant research has addressed the adoption of e-government learning by public servants.
Consequently, a complete reference framework is lacking to define the key factors that influence the use intentions of public servants regarding the adoption of e-government learning. The current study was enacted to fill this gap; thus, this study investigates these use intentions and the findings can provide a reference for subsequent research and policy planning by training agencies.
This study investigated the factors influencing the behavioral intention of public servants toward adopting e-government learning. The Unified Theory of Acceptance and Use of Technology (UTAUT) was adopted as the theoretical basis for analysis, and three constructs, attitude toward behavior, barrier factor, and policy factor were added to obtain a more complete perspective and to enhance explanatory power. The results indicated that the research model, apart from fully demonstrating the characteristics of the research subject, identified the key factors to facilitate the policy-making processes of the government agency in charge of e-government learning.

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