公務人員數位學習使用意向與行為影響因素之研究

The affecting factors of public servants’ intention and behavior toward e-learning

廖英掌(Ying-Chang Liao)

指導教授 ： 黃秀美

國立臺中科技大學/資訊學群/資訊科技與應用研究所/碩士(2009年)

https://doi.org/10.6826/NUTC.2009.00067

摘要

在知識經濟時代，世界各國政府無不致力於推動公務人員的終身學習以提升政府的人力素質，而推動公部門的數位學習更是其中一個重點項目。因此，瞭解公務人員對於數位學習的使用意向與行為之影響因素有其必要性。本研究以整合型科技接受使用理論(UTAUT)為基礎，採用理論中的「績效預期」、「易用預期」、「社會影響」及「協助情況」四個構面，再另外納入了影響組織學習的「時間情況」構面來探討公務人員數位學習使用意向與行為的影響因子。此外，四個調節變項(性別、年齡、經驗及自願性)對於各因子影響路徑的調節效果亦在本研究中進行驗證。
本研究發展了一份結構化問卷並針對台灣公務人員進行隨機抽樣調查，計回收有效問卷600份。研究使用了變異數分析(ANOVA)、結構方程模式(SEM)及調節作用廻歸分析等方法進行資料分析並驗證研究假設的正確性，最後提出一個公務人員數位學習使用意向與行為之影響因素的概念模型。
研究結果顯示「績效預期」、「易用預期」、「社會影響」及「協助情況」對於公務人員數位學習的使用意向有直接正向的影響，而其中以「績效預期」的影響性最大；結果亦顯示「行為意向」、「時間情況」及「協助情況」對於公務人員數位學習的實際使用行為有直接正向的影響，而其中又以「行為意向」及「時間情況」為最重要的影響因子。在調節變項方面，結果指出「績效預期」、「易用預期」、「社會影響」及「時間情況」對於數位學習使用意向的影響效果在非自願使用數位學習者較強；而「協助情況」和「時間情況」對數位學習實際使用行為的影響效果則在數位學習經驗較少者較強。特別的是，「社會影響」對於數位學習使用意向的影響效果在男性公務員較強，這和先前相關的研究有所不同。

關鍵字

數位學習 ； 公務人員 ； 整合型科技接受使用理論(UTAUT) ； 結構方程模式(SEM)

並列摘要

In the age of knowledge economy, governments around the world have been actively promoting lifelong learning for public servants to enhance the quality of government manpower, and e-learning is an important policy within that. Therefore, understanding the factors that affect public servants’ acceptance and behavior toward e-learning is very important. In this study, we investigated possible affecting factors based on the Unified Theory of Acceptance and Use of Technology (UTAUT). Four core determinants of intention and usage in UTAUT (i.e., performance expectancy, effort expectancy, social influence and facilitating conditions) and time condition of organization learning climate were examined. Besides, time condition of organization learning climate was also considered to investigate the affecting factors.
A structured online questionnaire was developed to collect data from randomly chosen public servants in Taiwan. There were 600 effective questionnaires. In order to test the adaptability of the hypothetical model, we used ANOVA, structural equation modelling (SEM) and moderated regression analysis approach to analyze the data. Finally, this study proposed a conceptual model for understanding the factors of public servants’ intention and behavior toward e-learning.
The results show that performance expectancy, effort expectancy, social influence and facilitating conditions have a direct positive impact on public servants’ intention toward e-learning. Among these constructs, performance expectancy has the largest influence. The results also show that behavioral intention, time condition and facilitating conditions have a direct positive influence on public servants’ e-learning usage. Among these constructs, behavioral intention and time condition are the most important two factors. In the moderator analysis, the results indicate that the influences of performance expectancy, effort expectancy, social influence and time condition on e-learning intention are stronger for involuntary users. The influence of facilitating conditions and time condition on e-learning usage are stronger with limited experience users. Specially, the influence of social influence on public servants’ e-learning intention is stronger for male that is different from previous research.

並列關鍵字

e-learning ； public servants ； UTAUT ； structural equation modeling(SEM)

參考文獻

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