five

Internal VIFs for predictors.

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NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/Internal_VIFs_for_predictors_/28101497
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The progress of open source technology is inseparable from cultivating open source talents in universities. The combination of open source communities and university education can cultivate students’ practical innovation abilities. Currently, we are facing problems such as the shortage of open source talents and the sustained use of open source technologies by open source talents. In addition, there are relatively few studies that explore the influencing factors of open source talents’ sustained use of open source communities, and research in this area plays a key role. This study aims to analyze the factors that influence the sustained use of open source communities among Chinese university students. The study used random stratified sampling to survey 803 undergraduate students in Yunnan Province. The influencing factors in innovation diffusion theory and the technology acceptance model were analyzed using the partial least squares structural equation model. Positive and significant effects among the seven factors of relative advantage, compatibility, trialability, observability, perceived ease of use, perceived usefulness, and perceived attitude, as well as the two model interrelationships, were demonstrated. In addition, perceived attitude and perceived usefulness have a significant positive impact on students’ sustained intention, and their mediating role is confirmed. In addition, the model is not affected by different students (gender, major, university, grade). This study provides valuable insights into the development of open source talent and the application of open source communities in education.

开源技术的发展离不开高校开源人才的培养。开源社区与高校教育的结合,能够有效培育学生的实践创新能力。当前我们面临开源人才短缺、开源人才持续使用开源技术不足等问题。此外,探讨开源人才持续使用开源社区影响因素的研究相对较少,而该领域的研究具有关键意义。本研究旨在分析中国大学生持续使用开源社区的影响因素。本研究采用随机分层抽样法,对云南省803名本科生开展调查。本研究针对创新扩散理论(Innovation Diffusion Theory)与技术接受模型(Technology Acceptance Model)中的影响因素,借助偏最小二乘结构方程模型(Partial Least Squares Structural Equation Model, PLS-SEM)进行分析。研究证实,相对优势、兼容性、可试用性、可观察性、感知易用性、感知有用性与感知态度这七个因素,以及两个模型间的相互关系均存在显著正向影响。此外,感知态度与感知有用性对学生的持续使用意向具有显著正向作用,且二者的中介效应得到验证。进一步分析表明,该模型不受学生个体特征(性别、专业、就读院校、年级)的影响。本研究为开源人才培养及开源社区在教育领域的应用提供了极具价值的参考视角。
创建时间:
2024-12-27
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