手机APP的场景与使用满足研究
发布时间：2018-12-14 12:21
【摘要】：随着手机网民的增长和手机终端的迅速更新,手机APP的发展也十分迅速,市场份额、商家投入都越来越多,关于APP各方面的研究也在不断增多。在移动技术日新月异的背景下,不同于使用传统产品时的一些固定的场景,人们现在可以在随时随地使用手机APP。然而现有的国内外文献中关于手机APP的使用场景研究不多且不充分,关于手机APP使用满足的研究也同样如此。因此研究人们在什么场景下使用什么类型的APP获得了哪种类型的满足非常有意义。本文中手机APP的八分类方法参照已有的分类标准。在满足方面,本文首先在前导研究中利用扎根理论归纳了五类手机APP的使用满足,并在主研究中利用因子分析进行了验证。在场景方面,参照以往文献场景划分的方法利用7个维度来划分手机APP的场景,并利用二阶聚类把场景划分为“家庭休闲组”、“户外活动组”、“办公室工作组”。在进一步的研究中,利用卡方检验、非参数检验等方法发现不同的场景下用户偏爱的APP类型是不同的;使用不同类型APP用户获得的满足是不同的;不同的场景下使用APP用户获得的满足也是不同的。利用logistic回归、方差分析等方法探索了上述三者的具体相关关系。本文也对手机APP的使用人群进行了聚类,研究了人群对APP类型的偏好程度。此外,在得到研究结论后,本文也结合市场分析,针对不同类型的APP提出了管理建议。
[Abstract]:With the growth of mobile phone users and the rapid update of mobile phone terminals, the development of mobile phone APP is also very rapid, market share, merchants are more and more investment, and the research on APP is also increasing. In the context of rapid changes in mobile technology, people can now use mobile phone APP. anytime, anywhere, unlike some fixed scenes when using traditional products However, there are few and insufficient studies on the usage scenarios of mobile phone APP in domestic and foreign literature, and the research on mobile phone APP usage satisfaction is the same. So it makes sense to study what kind of satisfaction people get with what kind of APP they use in what scenario. In this paper, the eight classification methods of mobile phone APP refer to the existing classification standards. In the aspect of satisfaction, this paper firstly induces the use satisfaction of five kinds of mobile phone APP by taking root theory in the leading research, and verifies it by factor analysis in the main research. In the aspect of scene, according to the method of scene partition in the previous literature, seven dimensions are used to divide the scene of mobile phone APP, and the scene is divided into "family leisure group", "outdoor activity group" and "office working group" by second-order clustering. In the further research, the methods of chi-square test and nonparametric test are used to find that the APP type preferred by users is different in different scenarios, and the satisfaction obtained by using different types of APP users is different. The satisfaction of using APP in different scenarios is also different. Logistic regression, ANOVA and other methods were used to explore the specific correlation between the above three. This paper also studies the degree of preference of mobile phone APP users to APP type. In addition, based on the market analysis, this paper puts forward some management suggestions for different types of APP.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F49
本文编号：2378604
[Abstract]:With the growth of mobile phone users and the rapid update of mobile phone terminals, the development of mobile phone APP is also very rapid, market share, merchants are more and more investment, and the research on APP is also increasing. In the context of rapid changes in mobile technology, people can now use mobile phone APP. anytime, anywhere, unlike some fixed scenes when using traditional products However, there are few and insufficient studies on the usage scenarios of mobile phone APP in domestic and foreign literature, and the research on mobile phone APP usage satisfaction is the same. So it makes sense to study what kind of satisfaction people get with what kind of APP they use in what scenario. In this paper, the eight classification methods of mobile phone APP refer to the existing classification standards. In the aspect of satisfaction, this paper firstly induces the use satisfaction of five kinds of mobile phone APP by taking root theory in the leading research, and verifies it by factor analysis in the main research. In the aspect of scene, according to the method of scene partition in the previous literature, seven dimensions are used to divide the scene of mobile phone APP, and the scene is divided into "family leisure group", "outdoor activity group" and "office working group" by second-order clustering. In the further research, the methods of chi-square test and nonparametric test are used to find that the APP type preferred by users is different in different scenarios, and the satisfaction obtained by using different types of APP users is different. The satisfaction of using APP in different scenarios is also different. Logistic regression, ANOVA and other methods were used to explore the specific correlation between the above three. This paper also studies the degree of preference of mobile phone APP users to APP type. In addition, based on the market analysis, this paper puts forward some management suggestions for different types of APP.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F49
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，本文编号：2378604
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