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The moderating role of device type and age of users on the intention to use mobile shopping applications

机译:设备类型和用户年龄对使用移动购物应用程序的意图的调节作用

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This work was performed to understand the characteristics of the antecedents of m-shopping adoption using mobile applications, with respect to the age of the consumer and the type of device used. The Technology Acceptance Model (TAM) and Theory of Diffusion of Innovations (DOI) were used for the purpose. The antecedents for shopping-through-mobile-apps were perceived risk, perceived usefulness, perceived ease-of-use and perceived enjoyment. Satisfaction in using an information system and personal innovativeness were also considered to have significant influences on the intention to use mobile shopping applications. In this work, devices were classified into large and small based on the screen size and respondents were classified into young (≤35 years) and old (>35 years) based on age. An online questionnaire with 32 items, administered through survey monkey, was circulated through email to the respondents and a data set of 675 responses was taken for analysis. ANOVA was used to compare the means of the responses in terms of these variables between the classified device types and age groups. Structural Equation Modeling was used to study the factors influencing the intention to use mobile shopping applications. The moderating effects of device type and age on the intention to use mobile shopping applications were analyzed. Results showed a significant difference in the responses for the variables - perceived enjoyment, perceived usefulness, satisfaction and intention to use - between the subgroups. The study also showed the presence of moderating effects of device types and age on the intention to use mobile shopping applications. The survey, results and implications of the observations are discussed in this paper.
机译:进行这项工作是为了了解使用移动应用程序进行移动购物的先行特征,与消费者的年龄和所用设备的类型有关。目的是使用技术接受模型(TAM)和创新扩散理论(DOI)。通过移动应用程序购物的先决条件是感知风险,感知实用性,感知易用性和感知乐趣。使用信息系统的满意度和个人创新也被认为对使用移动购物应用程序的意图有重大影响。在这项工作中,设备会根据屏幕尺寸分为大大小小的设备,而受访者会根据年龄分为年龄(≤35岁)和年龄较大(> 35岁)。通过调查猴子管理的包含32项内容的在线调查问卷通过电子邮件分发给受访者,并收集了675个答复的数据集进行分析。方差分析用于比较分类设备类型和年龄组之间这些变量的响应方式。结构方程模型用于研究影响使用移动购物应用程序意图的因素。分析了设备类型和年龄对使用移动购物应用程序的意图的调节作用。结果表明,各亚组之间对变量的反应存在显着差异-感知的享受,感知的有用性,满意度和使用意愿。该研究还表明,设备类型和年龄对使用移动购物应用程序的意图存在调节作用。本文讨论了调查,结果和观测结果的含义。

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