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Predicting Determinants and Moderating Factors of Mobile Phone Data Flow Service Adoption

机译:预测手机数据流服务采用的决定因素和调节因素

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摘要

With the development of economic and information technology, more and more people use mobile phone to surf the internet. The purpose of this paper is to examine the factors of mobile phone data flow service adoption. The Unified Theory of Acceptance and Use of Technology (UTAUT) is used as a theoretical framework, and survey data are collected from 537 Chinese nationals. The results from structural equation modeling confirm that effort expectancy and social influence significantly affect behavior intention to use mobile phone data flow service. However, there are two counterintuitive findings: performance expectancy is not the key factor in mobile phone data flow service adoption, and facilitating condition significantly affects effort expectancy to behavior intention. In addition, the moderating effects of gender, age, and education level on these UTAUT relationships were tested by the regression model. The results indicate that age has the positive moderating effect when facilitating condition affects effort expectancy, and education level has the positive moderating effect when social influence affects behavior intention toward using mobile phone data flow service, while gender does not register as significant. This research not only proposes theoretical understanding of mobile phone data flow service adoption behaviors, but also offers practical marketing implications for mobile network operators.
机译:随着经济和信息技术的发展,越来越多的人使用手机上网。本文的目的是研究手机数据流服务采用的因素。以技术接受与使用统一理论(UTAUT)作为理论框架,并从537位中国公民中收集了调查数据。结构方程建模的结果证实,预期工作量和社会影响力显着影响了使用手机数据流服务的行为意图。但是,有两个与直觉相反的发现:性能预期不是采用手机数据流服务的关键因素,便利条件显着影响行为预期的预期工作量。此外,通过回归模型测试了性别,年龄和文化程度对这些UTAUT关系的调节作用。结果表明,年龄在促进条件影响预期工作量方面具有正调节作用,而教育水平在社会影响影响使用手机数据流服务的行为意图时具有正调节作用,而性别则没有显着意义。这项研究不仅提出了对手机数据流服务采用行为的理论理解,而且还为移动网络运营商提供了实际的营销意义。

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