以大数据为基础的移动应用商店用户行为研究.doc

文档介绍：
以大数据为基础的移动应用商店用户行为
研究
孙会静,杨旭**
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10
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(北京邮电大学经济管理学院,北京 100876)
摘要:随着移动互联网快速发展,大数据引起了全球的关注。移动应用商店属于新兴产业,
而“大数据”环境下移动应用商店的用户行为研究目前来说是缺乏理论深度研究。
本文在回顾技术采纳与利用整合模型(UTAUT)基础上,结合大数据环境特点,以移动环
境下消费者普遍使用的移动应用商店为研究对象,构建了以大数据为基础的移动应用商店用
户行为影响因素模型。为研究移动应用商店的运营提供一个全新视角,促进用户接受行为研
究理论的发展。深入研究移动应用商店用户行为,能够起到引导、管理和规范用户的作用,
促进移动应用商店健康良性发展。
关键词:管理科学与工程;大数据;移动应用商店;用户行为
中图分类号:
Studies on Users' Behavior in Mobile Application store bsed
on Big data
SUN Huijing, Yang Xu
(Economics and Management School, Beijing University of Posts and munications,
Beijing 100876)
Abstract: With the rapid development of mobile , big data has attracted worldwide
attention. Mobile App store is an emerging industry, However, at present the study of user
behavior in mobile application store based on big data is lack of theoretical depth and empirical
studies. In this paper, on the basis of reviewing the theory of UTAUT, combining with the
environmental characteristics of big data, taking mobile app store widely used by individual
consumers under mobile environment as the object, construct theoretical model of Users' Behavior
in Mobile Application store Based on Big Data. This paper provide a new perspective for the
operation of mobile application store , and promote the development of user’s acceptance
behavior theory.
Key words:
Management Science and Engineering; big