移动智能终端采纳的关键影响因素研究
发布时间：2018-11-22 08:29
【摘要】：移动智能终端是指具备开放的操作系统平台、PC级的处理能力、高速接入能力和丰富的人机交互界面的移动智能终端,通常包括智能手机和平板电脑。目前,全球移动智能终端市场正迅速膨胀,我国移动智能终端市场的需求已被全面启动,进入移动智能终端的大规模普及阶段。移动智能终端产业的快速崛起,使得互联网企业、终端制造商、电信运营商等在移动产业中的竞争已经逐渐演化为各自所在的生态系统之间的竞争。 本文立足于移动智能终端产业,以Venkatesh等学者建立的技术接受与利用综合模型(UTAUT)作为基础框架,结合消费者体验、注意力经济理论,通过理论研究与文献综述,以及小范围的预调研,最终甄选绩效期望、努力期望、社会影响、促成因素、用户体验、感知成本、性格特征和采纳意愿作为影响采纳行为的关键因素,构建了移动智能终端采纳行为影响因素模型,提出假设命题。在问卷收集资料的统计分析上,本研究主要选用结构方程模型(Structural Equation Modeling, SEM)方法对变量设计和研究假设进行验证,此外还综合利用了描述性统计、信度与效度分析方法,利用Excel、SPSS16.0和AMOS17.0三种统计软件,根据研究设计的调查问卷收集到的数据和首次分析的结果,对理论模型进行了修正,由于用户体验对于采纳意愿和采纳行为直接影响不显著,但其可能通过对努力期望和绩效期望间接影响采纳意愿,进而影响采纳行为。因此,在模型修正过程中,我们将用户体验的直接影响路径修正为间接影响路径,并将社会影响对采纳意愿有正向影响的假设修改为负向影响,经过再次验证,本研究的理论模型的主要和关键假设部分获得了实证的支持,确定了本研究最终的理论模型架构,同时,得出了一些重要结论：采纳意愿的直接影响因素为绩效期望、努力期望、社会影响以,间接影响作用为用户体验；采纳行为的直接影响因素为社会影响、促成因素、采纳意愿、感知成本、性格特征和努力期望,间接影响因素为采纳意愿的直接与间接影响因素。领域应用、模型升级以及注意力探索性量化是本文的最大创新点。
[Abstract]:Mobile intelligent terminal is a mobile intelligent terminal with open operating system platform, PC level processing capability, high speed access capability and rich man-machine interface. It usually includes smart phone and tablet computer. At present, the global mobile intelligent terminal market is expanding rapidly. The demand of mobile intelligent terminal market in China has been fully started, entering the stage of large-scale popularization of mobile intelligent terminal. With the rapid rise of mobile intelligent terminal industry, the competition among Internet enterprises, terminal manufacturers and telecom operators has gradually evolved into the competition among their respective ecosystems. This paper is based on the mobile intelligent terminal industry, taking the technology acceptance and utilization model (UTAUT) established by Venkatesh and other scholars as the basic framework, combining with the consumer experience and the attention economy theory, through theoretical research and literature review. As well as a small range of pre-survey, final selection performance expectations, effort expectations, social impact, enabling factors, user experience, perceived costs, personality characteristics and willingness to adopt as key factors affecting adoption behavior, A model of influencing factors of mobile intelligent terminal adoption behavior is constructed, and a hypothetical proposition is proposed. In the statistical analysis of the data collected from the questionnaire, the structural equation model (Structural Equation Modeling, SEM) method is mainly used to verify the variable design and research hypothesis. In addition, descriptive statistics, reliability and validity analysis methods are used comprehensively. Based on the data collected from the questionnaire and the results of the first analysis, the theoretical model is modified by using three kinds of statistical software, Excel,SPSS16.0 and AMOS17.0. Due to the fact that the user experience has no direct influence on the willingness to adopt and the behavior of adoption, it may indirectly affect the willingness to adopt through the expectation of effort and the expectation of performance, and then affect the behavior of adoption. Therefore, in the process of model revision, we modify the direct impact path of user experience into indirect influence path, and modify the assumption that social impact has positive effect on adoption intention to negative effect. The main and key hypotheses of the theoretical model of this study are supported by empirical evidence, and the final theoretical model structure of this study is determined. At the same time, some important conclusions are drawn: the direct influence factor of the willingness to adopt is performance expectation. Strive to expect, social impact, indirect impact for the user experience; The direct influence factors of adoption behavior are social influence, promotion factor, adoption willingness, perceived cost, personality characteristic and effort expectation, and indirect influence factors are the direct and indirect factors of adoption intention. Domain applications, model upgrades and exploratory quantification of attention are the greatest innovations of this paper.
【学位授予单位】：西安邮电大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F426.63;F713.55
本文编号：2348695
[Abstract]:Mobile intelligent terminal is a mobile intelligent terminal with open operating system platform, PC level processing capability, high speed access capability and rich man-machine interface. It usually includes smart phone and tablet computer. At present, the global mobile intelligent terminal market is expanding rapidly. The demand of mobile intelligent terminal market in China has been fully started, entering the stage of large-scale popularization of mobile intelligent terminal. With the rapid rise of mobile intelligent terminal industry, the competition among Internet enterprises, terminal manufacturers and telecom operators has gradually evolved into the competition among their respective ecosystems. This paper is based on the mobile intelligent terminal industry, taking the technology acceptance and utilization model (UTAUT) established by Venkatesh and other scholars as the basic framework, combining with the consumer experience and the attention economy theory, through theoretical research and literature review. As well as a small range of pre-survey, final selection performance expectations, effort expectations, social impact, enabling factors, user experience, perceived costs, personality characteristics and willingness to adopt as key factors affecting adoption behavior, A model of influencing factors of mobile intelligent terminal adoption behavior is constructed, and a hypothetical proposition is proposed. In the statistical analysis of the data collected from the questionnaire, the structural equation model (Structural Equation Modeling, SEM) method is mainly used to verify the variable design and research hypothesis. In addition, descriptive statistics, reliability and validity analysis methods are used comprehensively. Based on the data collected from the questionnaire and the results of the first analysis, the theoretical model is modified by using three kinds of statistical software, Excel,SPSS16.0 and AMOS17.0. Due to the fact that the user experience has no direct influence on the willingness to adopt and the behavior of adoption, it may indirectly affect the willingness to adopt through the expectation of effort and the expectation of performance, and then affect the behavior of adoption. Therefore, in the process of model revision, we modify the direct impact path of user experience into indirect influence path, and modify the assumption that social impact has positive effect on adoption intention to negative effect. The main and key hypotheses of the theoretical model of this study are supported by empirical evidence, and the final theoretical model structure of this study is determined. At the same time, some important conclusions are drawn: the direct influence factor of the willingness to adopt is performance expectation. Strive to expect, social impact, indirect impact for the user experience; The direct influence factors of adoption behavior are social influence, promotion factor, adoption willingness, perceived cost, personality characteristic and effort expectation, and indirect influence factors are the direct and indirect factors of adoption intention. Domain applications, model upgrades and exploratory quantification of attention are the greatest innovations of this paper.
【学位授予单位】：西安邮电大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F426.63;F713.55
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