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Understanding behavioral intention to use a cloud computing classroom: A multiple model comparison approach

机译：了解使用云计算教室的行为意图：一种多模型比较方法

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Cloud computing is an innovative information technology that has been applied to education and has facilitated the development of cloud computing classrooms; however, student behavioral intention (BI) toward cloud computing remains unclear. Most researchers have evaluated, integrated, or compared only few theories to examine user BI. In this study, we tested, compared, and unified six well-known theories, namely service quality (SQ), self-efficacy (SE), the motivational model (MM), the technology acceptance model (TAM), the theory of reasoned action or theory of planned behavior (TRA/TPB), and innovation diffusion theory (IDT), in the context of cloud computing classrooms. This empirical study was conducted using an online survey. The data collected from the samples (n = 478) were analyzed using structural equation modeling. We independently analyzed each theory, by formulating a united model. The analysis yielded three valuable findings. First, all six theoretical models and the united model exhibited adequate explanatory power. Second, variance explanation, Chi-squared statistics, effect size, and predictive relevance results revealed the ranking importance of the theoretical models. Third, the united model provided a comprehensive understanding of the factors that significantly affect the college students' BI toward a cloud computing classroom. The discussions and implications of this study are critical for researchers and practitioners. (C) 2015 Elsevier B.V. All rights reserved.
机译：云计算是一种创新的信息技术，已应用于教育并促进了云计算教室的发展；但是，学生对云计算的行为意图（BI）仍然不清楚。大多数研究人员仅评估，集成或比较了很少的理论来检查用户BI。在这项研究中，我们测试，比较和统一了六个著名的理论，即服务质量（SQ），自我效能感（SE），动机模型（MM），技术接受模型（TAM）和推理理论云计算教室中的计划行为的行为或理论（TRA / TPB）和创新扩散理论（IDT）。这项经验研究是使用在线调查进行的。使用结构方程模型分析了从样本（n = 478）收集的数据。我们通过制定一个统一的模型来独立分析每种理论。分析得出了三个有价值的发现。首先，所有六个理论模型和联合模型都显示出足够的解释力。其次，方差解释，卡方统计量，效应大小和预测相关性结果揭示了理论模型的排名重要性。第三，统一模型提供了对影响大学生走向云计算教室的BI的因素的全面理解。这项研究的讨论和启示对研究人员和从业人员至关重要。 （C）2015 Elsevier B.V.保留所有权利。

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