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How online reviews affect consumers in mobile APP store: A conceptual framework based on elaboration likelihood model

机译:在线评论如何影响移动应用商店的消费者:基于阐述似然模型的概念框架

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With the development of mobile Internet and the information technology, mobile APP is closely linked with people' s life. However, it seriously hinders the user to find a required APP that quantity overload and homogenization of APP in mobile application store. Based on the Elaboration Likelihood Model, this article has explored the effects of online reviews on APP discoverability under different degree of involvement. It is concluded that the quality of online reviews has a great influence on APP discoverability when the degree of user involvement is high, while the degree of user involvement is low, the quantity of online reviews has a great influence. This study fills up the shortcomings of the research on online reviews to APP discoverability. At the same time, this paper makes recommendations to the application store and the developers for improving APP discoverability, and to promote the continuous development of the application market.
机译:随着移动互联网和信息技术的发展,移动应用与人的生活密切相关。但是,它严重阻碍了用户找到所需的应用程序在移动应用程序商店中的应用程序的数量过载和均匀化。根据阐述的阐述似然模型,本文探讨了在不同的参与程度下对应用程序发现性的在线评论的影响。它的结论是,在线评论的质量对应用程序可发现性具有很大影响,当用户参与的程度很高时,虽然用户参与程度低,但在线评论的数量具有很大的影响力。本研究填补了对应用程序可发现性的在线评审研究的缺点。与此同时,本文向应用商店和开发人员提出了提高应用程序可发现的建议,并促进应用市场的不断发展。

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