收稿日期: 2016-06-11
修回日期: 2016-09-05
网络出版日期: 2016-09-20
基金资助
本文系国家自然科学基金面上项目“信息生态视角下新媒体信息消费行为机理及服务模式创新研究”(项目编号:71673108)、吉林大学哲学社会科学研究重大课题培育项目“互联网+”驱动传统产业创新发展路径及产业创新生态体系构建研究(项目编号:2015ZDPY13)和吉林大学高峰学科(群)建设项目研究成果之一。
An Empirical Study of the Influential Factors on Information Adoption Behavior of Food Takeout Mobile APP
Received date: 2016-06-11
Revised date: 2016-09-05
Online published: 2016-09-20
[目的/意义] 移动商务快速发展,O2O模式的移动商务越来越受到大众的关注,研究餐饮外卖移动APP信息采纳行为对于移动互联网环境下用户信息行为的研究及推进O2O模式移动APP的应用起到重要作用。[方法/过程] 以技术采纳和使用整合理论及感知信息质量理论为基础,构建餐饮外卖移动APP信息采纳行为影响因素模型,运用问卷调查的方法进行实证研究、收集调查数据,对数据进行统计分析,探究所构建模型的适用性及各影响因素的影响方向及程度。[结果/结论] 餐饮外卖移动APP信息采纳意向受到绩效期望、社会影响、感知信息质量正向影响;感知风险对采纳意向未达到显著性影响;采纳意向和促进因素正向影响采纳行为。
关键词: 餐饮外卖移动APP; 技术采纳和使用整合理论; 感知信息质量; 信息采纳
李欣颖 , 徐恺英 , 盛盼盼 . 餐饮外卖移动APP信息采纳行为影响因素实证研究[J]. 图书情报工作, 2016 , 60(18) : 133 -139 . DOI: 10.13266/j.issn.0252-3116.2016.18.016
[Purpose/significance] With the rapid development of the mobile commerce, O2O mode mobile commerce gets more and more public attention. The study of information adoption behavior of food takeout mobile APP plays an important role in the study of the user information behavior under the environment of mobile Internet adoption behavior and in the promotion of O2O mode mobile APP applications. [Method/process] Based on the Unified Theory of Acceptance and Use of Technology and perceived information quality theory, this study constructs the model of influential factors on information adoption behavior of food takeout mobile APP by using the method of questionnaire for empirical research, survey data collecting and statistical analysis of data. Furthermore, this study explores the applicability of the constructed model and the degree and aspect being influenced. [Result/conclusion] According to the data analysis, information adoption intention of food takeout mobile APP is positively influenced by performance expectancy, social influence and perceived information quality. Perceived risked has no significant effect on adoption intention. However, adoption intention and the facilitating conditions positively affect the information adoption behavior of food takeout mobile APP.
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