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Predicting University Students'Adoption of Mobile News Applications: The Role of Perceived Hedonic Value and News Motivation

机译:预测大学生的移动新闻应用:感知百分声价值的作用和新闻动力

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摘要

India is amongst the fastest growing markets for smartphones in the world which are driven by a young population. This study seeks to understand the intention to use mobile news applications by students in India. To address this broad objective, an extended technology adoption model has been proposed with the inclusion of news motivation and perceived hedonic value and tested on 384 students at a university in India. Structural equation modeling results reveal that student mobile news app adoption intention is not dependent on the perceived hedonic value; however, this relationship is mediated by attitude. News motivation predicts adoption intention, which indicates that news app adoption is largely seen as utilitarian, this is also proven by the fact that perceived usefulness significantly predicts adoption intention.
机译:印度是世界上智能手机的增长最快的市场之一,这是由年轻人的推动。本研究旨在了解在印度学生使用移动新闻应用的意图。为了解决这一广泛目标,已经提出了一个扩展技术采用模式,并在印度大学的384名学生中纳入了新闻动机和感知的储存。结构方程建模结果表明,学生移动新闻应用程序采用意图不依赖于感知的蜂窝价值;然而,这种关系是通过态度介导的。新闻动机预测采用意图,这表明新闻应用程序采用在很大程度上被视为功利主义,这也被认为是感知有用性明显预测采用意图的事实。

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