Mobile data services are entering into all aspects of people's life and are expected to be an important revenue source of telecom carriers. Nevertheless, the acceptance pace of mobile data services is slower than the expected level projected by the telecommunication industry. This research investigated the reason that people use mobile data services in China. Combined with subscribers' experience factors, an extended technology acceptance model (TAM) for mobile data services was presented. The model was tested using data collected from 802 mobile subscribers. The findings of the study indicate that mobile voice service and innovation experience of mobile data services affect subscribers' consumption intention greatly; subscribers' perceived ease-of-use and brand experience influence subscribers' attitude towards mobile data services largely. Promotion of mobile data services is most effective when it is promoted with perfect voice service experience. Additionally, our findings suggest that mobile service carriers need to enhance their investments in mobile data services' R&D. Collaboration among the value chain members of mobile data services will promise cutting-edge new products and services. Using system methodology, a mobile data service infusion system model was constructed to explain the general adoption rules of mobile data services. The adoption of mobile data services in mobile logistics area was also discussed.

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Abstract. In this article, a new method is presented to research the mechanism of Customer Satisfaction (CS). Firstly, the research model of CS based on the TAM and ACSI is built. Secondly, some important correlation coefficients of research model can be got from the SEM method. Thirdly, with these correlation coefficients, the main functions of system dynamic model are built, and the evolution of the system is simluated with the help of VENSIM. At last, one simple example is designed by using the method and some meaningfiil conclusions are provided.

Abstract. Integration of different theories and expansion of research areas are the main trends in the research domain of IS adoption. Classical T AM structure has been largely expended by newly added variables. Prior studies [I] have analyzed relationships among variables in T AM and found the stability of c1assical structure, but what about relationships between new variables and c1assical structure? We selected 30 articles from the main international journals for analyses. It is found that, SE. SN and PBC are used mostly in extended TAM. Tbe relations between SE, PBC and TAM are consistently significant, but the integration of SN into T AM is not so ideal. In OUT review scale, this relation is inconsistent. Other variables and relations are also discussed in this article. Tbe conclusions of this article will provide guidance for future researches about extended T AM model building.

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