高校学生创客空间采纳行为意向影响因素研究 ———以“ 数字媒体制作冶创客空间为例

An Empirical Research on Factors Affecting Undergraduate Students Adoption Behavior Intention on Maker Space: Take “ Digital Media Production＂Maker Space as an Example

创客空间被认为是一项会在未来2-3 年对高等教育产生重要影响的技术，但创客空间的建设无 论是人力资源的配置，还是软硬件环境的配置都需要较多投入。如果建设后的使用情况不佳不仅会影响其功能 的实现，而且会造成极大的资源浪费。然而，目前国内外对于创客空间建设与推广的研究和实践都是基于功能 和价值实现的视角，没考虑其建设后的使用情况。针对上述问题，本研究基于技术接受模型和创新扩散理论构 建创客空间理论模型，并以数字媒体创客空间为例，以我国某师范大学相关专业2013 和2014 级在校生为调查 对象，通过问卷调查收集数据、AMOS18. 0 构建路径分析模型、SPSS21. 0 进行人口特征变量相关性检验，以探究 影响高校学生采纳创客空间行为意向的各因素之间的结构与数量关系。研究结果表明，被调查者对采纳创客空 间的有用性感知和兼容性感知能够对其行为意向产生直接影响，而对创客空间其他创新特性的感知仅能对行为 意向产生间接影响。就影响效果而言，有用性感知的影响效果最大，可见性的影响效果最小。此外，被调查者的 人口特征变量对各变量产生不同程度的影响。

It has been predicted that maker space will bring significant changes to higher education in next two or three years. However， constructing maker space has high expenses in terms of the configuration of both human resources， and hardware and software environment. The under-utilization of maker space will not only influence the realization of its functions but also cause great waste of resources. Domestic and international researchers and practitioners focus primarily on the function and value of the maker space， but pay less attention to its utilization. To investigate the structural and quantitative relationships between factors that influence undergraduate students adoption behavior intention on make space， this study built a theoretic model based on both Technology Acceptance Model (TAM) and Innovation Diffusion Theory (IDT) and took the digital media production maker space as an example to collect data through questionnaire. The participants of the survey were junior and senior students in digitalmedia- related majors from a normal university in China. As to the data analysis， AMOS18. 0 was used to build a path analysis model， and SPSS21. 0 was used to analyze the correlations between demographic variables and variables in the path analysis model， and to test the significances for coefficients of correlations. Results show that perceived usefulness and compatibility has a direct effect on behavior intention， and other perceived characteristics only have indirect effects. According to the regression coefficients， the positive effect of perceived usefulness is the highest and the visibility is the lowest. And perceived ease of use， relative advantages， image， result demonstrability， visibility， and trialability have direct effects on perceived usefulness， and the positive effect of trialability is the highest and the visibility is the lowest. As to perceived ease of use， relative advantages， image， result demonstrability， and visibility all have positive effects on it. And the six perceived characteristics are pairwise correlations， but the coefficient of correlation between relative advantages and visibility is not significant. In addition， demographic variables also have a different level effect. Personal innovativeness has an effect on relative advantages， trialability and perceived usefulness. The grade of students has an effect on relative advantages， compatibility and trialability. And the major of students also has an effect on visibility. In the end， the study provides a variety of suggestions to the construction of maker space in the future.