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【正文】 ans indirect positive relationship） The other prehensive theory integration of TAM,TRA ,TPB and mitment – trust theoryBased on the main factors of reasoning action theory (TRA),Haiping Wang（2009）built concept model reference technology acceptance model (TAM). According to TRA theory,faith attitude directly influence the attitude, and attitude influence on purchase online consumer39。s point of view, based on the cognition,her research bined the emotional factors and constructed a as the main path of shortterm viscosity forming model.Perceived reputationPerceived information qualityePerceived information qualityPerceived usenessPerceived easeInitial trustflowsPerceived riskattitudeShortterm stickiness intentionfigure 4: A Conceptual model of shortterm stickiness of Wang Haiping’s researchBased on the TAM, TRA, TPB, mitment trust model, investment model and so on the related theory, Haiping Wang’s research formed a longterm stickiness conceptual model.habitPerceived information quality amp。 Perceived system qualityePerceived reputationflowsContinuous trustOverall satisfactionPerceived conversion costmitmentLongterm stickiness intentionPractical transactionsfigure 5: A Conceptual model of longterm stickiness of Wang Haiping’s research The integration of ECT , TRAamp。TPB theoryBased on the Triandis model and integrated of theory ECT,TRA and TPB theory, Hongamp。Lee (2005) constructed stickiness model including habits, Perceived Switching cost,Dual standards of Quality), satisfaction and Behavioral Attitude variables, and Dual standards of Quality include desirecongruency amp。 expectationcongruency. The integration of Interaction theoryamp。Cultural Lens ModelBased on Interaction Theory and Cultural Lens Model, Lee(2007) proposed a new model that study the role of the cultural factors in mobile network service stickiness. The research hypotheses satisfaction directly affects stickiness intention, four kinds of network stickiness post adoption perception that is perception usefulness, perception of interest, perceived ease of use and perceived monetary value. These four kind of network stickiness postadoption perception directly influence the satisfaction,and respectively by four cultural factors that is uncertainty avoidance, individualism, context and time perception. Through largescale web survey respectively Korea, Hong Kong and Taiwan several big Mobile network services panies’ users, this study obtained the data of different cultures. Research results show that all the hypothesis model is verified, namely these four kind of network stickiness postadoption perception directly influence the satisfaction,and respectively by four cultural factors.6 CONCLUSIONSThe conclusion is abroad online stickiness behavioral research be advanced in theoretical research and empirical research, the domestic research rarely concentrated in the theoretical research, especially measurment of online stickiness behaivor. Furthmore, most of the domestic empirical research stickiness of online consumer behavior based on the website or the enterprise, few paid attention to the consumer amp。 socility. So furture research in these respect should be strengthen.ACKNOWLEDGEMENThis research was supported by the National Social Science Foundation of China under Grant 10BGL099.REFERENCES[1] Haiping Wang (2009) The Research of Online Customer Stickiness,Jinan : 4348。[2] Dahui Li，Glenn J．Browne，Patrick ．Chau．(2006)An Empirical Investigation of WebSite Use Using a CommitmentBased Model．Decision Sciences，37(3)：427444．[3] Dahui Li (2002) Why do intetnet users stick in website,.MI:2224[4]Yao Chen,Peiji Shao(2010), reviewed of Empirical research in Information system continuous use. Management experts，04：6269[5] Albert Hayashi,Charlie Chen,Terry Ryan,Jiinpo Wu(2004).TheRole of Social Presence and Moderating Role of Computer Self Efficacy in Predicting the Continuance Usage of ELearning Systems[J].Journal of Information SystemsEducation, 15(2):139154.[6] Anol Bhattacherjee,(2001).Understanding Information SystemsContinuance:An ExpectationConfirmation Model[J].MISQuarterly, 25(3):351370.[7] Anol Bhattacherjee,Johan Perols,Clive Sanford. (2008),Information Technology Continuance:A Theoretic Extension andEmpirical Test[J].The Journal of Computer InformationSystems, 49(1):1726.[8] Inseong Lee,Boreum Choi,Jinwoo Kim,SeJoon Hong (2007).CultureTechnology Fit:Effects of Cultural Characteristicson the PostAdoption Beliefs of Mobile Internet Users[J].International Journal of Electronic Commerce, 11(4): 1151.[9] Moez Limayem,Sabine Gabriele Hirt,Christy .(2007) How Habit Limits the Predictive Power of Intention:The Case of Information Systems Continuance[J].MIS,31(4):305317[10] the 27th Statistical Reports of CNNIC(2011)，Beijing：128 / 8