| With the rapid development of the internet,traditional travel consumption habits are gradually being changed,the development of online travel is in full swing.In this context,the rapid development of mobile travel apps,tourists have been integrated into all aspects of planning,travel.In addition,word-of-mouth recommendation among APP users has also become an important growth path for mobile travel apps.Therefore,it is of great significance for the management and operation of the platform to know the users’ recommendation intention for this kind of mobile travel APP.This thesis uses a combination of qualitative and quantitative research,and uses specific methods such as semi-structured interviews,thematic analysis,questionnaires and statistical analysis to conduct research.Based on the characteristics of mobile tourism APP,the research framework of "central information content" and "edge information content" is constructed based on the fine processing theory model.By integrating the success model of information system and the related influencing factors of word-of-mouth,the interview outline is compiled,and the influencing factors of users’ recommendation intention are extracted by using the theme analysis method,including the perceived reputation of APP,marketing activities and online public opinion in the edge content characteristics,and the literature is sorted out again to introduce the perceived usefulness and perceived ease of use as the mediating variables of central information characteristics,and the research model of this paper is constructed.This thesis proposes research hypotheses on the relationship between variables based on relevant literature,and designs questionnaire items with reference to mature scales at home and abroad;takes users of comprehensive tourism APP as research objects,analyzes 454 valid questionnaire data collected from formal research using SPSS26.0 and Smart PLS3.0,mainly including descriptive statistical analysis,reliability analysis,validity analysis,structural equation modeling Analysis,by verifying the hypotheses of this paper,the following conclusions are drawn: first,service quality,information quality,and system quality in the central content features all have significant positive effects on perceived usefulness and perceived ease of use;and system quality in the central content features has significant positive effects on the recommendation intention of mobile travel APP users.Secondly,the perceived reputation of APP,marketing activities and online opinion in the edge content features all have significant positive effects on users’ recommendation intention.Third,perceived usefulness and perceived ease of use have a significant positive influence on users’ recommendation intention.Fourth,perceived usefulness and perceived ease of use play a fully mediating role between service quality,information quality and recommendation intention,and a partially mediating role between system quality and recommendation intention.After empirical analysis,and in view of the unique application situation of mobile tourism APP and the characteristics of user travel information dissemination,this thesis puts forward some useful references and suggestions for mobile tourism APP operators.This study is of certain significance to expand and improve the research field of fine machining possibility model.The research results are beneficial for mobile tourism APP operators to do a good job of user survey,to understand user experience and recommendation intention in depth,to further improve the design of platform related products,to establish a good brand image and improve user satisfaction,and to enhance user loyalty to mobile tourism APP.From the perspective of tourism development,the results of this study can provide some reference for the government in the management of mobile tourism platform,so as to promote the good development of tourism industry. |
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