| The integration of the mobile technology and Internet technology leads the human into a new era of mobile internet. Meanwhile, as the increased usage scenarios and extensive fragmentation of time, people through smart phones、tablet PCs and other mobile terminal to get information or entertainment has become a common phenomenon. There is also a case that as the amount of information has increased dramatically, therefore a kind of personalized news mobile application based on the recommendation system has been born. Because of the rising concern about the product, it is necessary to research on this kind of mobile applications in the perspective of user behavior, and explore the specific factors which affect the user continued use behavior on this kind of application.In this paper, first of all we both use inductive analysis and comparative analysis to summarizes knowledge about the news application, including its concept、types and related research at home and abroad. According to these knowledge we discuss the news applications based on the personalized recommendation system in depth. We use three variables which are perceived entertainment、personalization and switch costs to react the characteristic of the research subjects base on understanding their core technology architecture and features. We based on ECM-IS model of Bhattacherjee(2008) as the basic theory frame, then introduce two key measured variables(information quality and information system),eventually forming a theoretical model of this the news mobile applications based on personalization recommendation system for users’ to use.This paper selects "Today’s headlines" mobile application as a specific empirical study object, using questionnaires for data collection, through the network and the site of two channels used by today’s headlines user groups.we distributed 543 questionnaires in all, including 226 valid questionnaires.Through the reliability analysis, convergent validity, discriminant validity analysis of sample data and using structural equation modeling analysis method of the conceptual model proposed in this study,we get the better fitting degree model. Through the verification(1)satisfaction, perceived usefulness, personalization, switch costs have a direct significant effect on the personalized news mobile applications user continued use intention, between them satisfaction and perceived usefulness both has the most significant impact to continued use intention. Perceived entertainment has no direct influence to use intention(original hypothesis H7 has not supported).(2) Perceived entertainment 、 expectation confirmation, personalization have a direct significant effect on personalized mobile news applications. Between them perceived entertainment has the most significant impact to user satisfaction;(3) Information quality and system quality both have a significant impact to expectations confirm and information quality effects level higher than system quality.The results showed that(1) the use of mobile news applications based on based personalized recommendation system are to reading the news not to entertainment.People like the personalized news.So system designers should take full account of the user personalized products or services of its likeness, putting more personalized features and services into product development(2) this kind of design such ad events,topics, games entertainment are still attractive to users. So continue to leave this feature behind. And it is more important to improve it, regularly put new feature into it so that the users will keep excitements and love in it.(3) For the operator of these applications it is necessary to examination of the quality of information,to avoid bad news or inaccurate news, so that these kind of applications can make a long-term development. |
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