Investigation of Mobile Cloud Storage Adoption Factors in Higher Education

Nina Fadilah Najwa, Yohana Dewi Lulu Widyasari, Anggy Trisnadoli
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Abstract

Mobile cloud storage provides benefits for educational institutions. Several researchers have researched cloud computing adoption, but only a few studies related to how users experience using Personal Cloud Storage Services. This research aims to investigate the adoption of the mobile cloud storage factors following the theory, as well as research that has been previously proven related to user interest in using mobile cloud storage among higher education students. This quantitative research uses data analysis techniques using GSCA to prove the theory and achieve the research goals. The research methodology consists of five main stages, namely the stage of model development and research design, the stage of preparing the instrument and its measurement, the stage of testing the instrument, the stage of survey and results, as well as the stages of analysis and discussion as well as conclusions. Five variables are investigated in this research: knowledge sharing, perceived usefulness, attitude toward using a system, trust, and intention to use. The results of hypothesis testing were conducted using GSCA; three proposed hypotheses were accepted, and one was rejected. The variables the research model can explain are 68%, and the remaining 32% are other variables not used in this study. The characteristics of respondents can provide several ways to increase the adoption of mobile cloud computing by linking research results from inferential analysis and descriptive analysis. Future research can focus on extracting these variables through user interviews regarding students' intentions to use mobile cloud computing.
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高校移动云存储采用因素调查
移动云存储为教育机构提供了好处。一些研究人员已经研究了云计算的采用,但只有少数研究与用户使用个人云存储服务的体验有关。本研究旨在调查遵循理论的移动云存储的采用因素,以及先前已被证明与高等教育学生中用户使用移动云存储的兴趣相关的研究。本定量研究采用GSCA的数据分析技术来证明理论,实现研究目标。研究方法包括五个主要阶段,即模型开发和研究设计阶段,仪器准备和测量阶段,仪器测试阶段,调查和结果阶段,以及分析和讨论和结论阶段。本研究调查了五个变量:知识共享、感知有用性、对使用系统的态度、信任和使用意图。采用GSCA进行假设检验;三个假设被接受,一个被拒绝。研究模型可以解释的变量占68%,其余32%为本研究未使用的其他变量。受访者的特点可以提供几种方法,通过将推断分析和描述性分析的研究结果联系起来,增加移动云计算的采用。未来的研究可以通过对学生使用移动云计算意愿的用户访谈来提取这些变量。
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来源期刊
JOIV International Journal on Informatics Visualization
JOIV International Journal on Informatics Visualization Decision Sciences-Information Systems and Management
CiteScore
1.40
自引率
0.00%
发文量
100
审稿时长
16 weeks
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