Until now, most of the studies about the adoption of Innovation have focused mainly on the adoption of on-line internet services while there have relatively been very few studies about the adoption of wireless or mobile internet services. The generic ...
Until now, most of the studies about the adoption of Innovation have focused mainly on the adoption of on-line internet services while there have relatively been very few studies about the adoption of wireless or mobile internet services. The generic model explaining the adoption behaviors of mobile(wireless) internet services has not been made yet. Previous studies of that area is not so easy to find.
The purposes of this thesis are two-fold. The first is to find the factors affecting the users' adoption of mobile internet services. The second is to find the relative importance of the factors in users making decisions about whether-or-not of adopting the innovation.
In the theoretical part of this paper, the precedent studies concerning the theories of Innovation and technology acceptance, the theories of internet service adoption and the theories of the mobile internet services, are reviewed and analyzed.
In the empirical part, the data is collected based on the field survey of 244 users who are willing to adopt mobile internet services. Collected data is statistically analyzed, including demographic distribution, reliability test, validity test and structural analysis of the relating constructs, using SPSS(11.5) and LISREL(8.52).
The conceptual research model, which was derived from the results of the theoretical research, consists of four categories of variables: external factors(corporate image and innovativeness), perceived characteristics of mobile internet services(usefulness, convenience, relative advantages, risk and familiarity), attitudes toward mobile internet services(favorableness and trust) and users' action(adoption).
The results of the covariance structural analysis, together with the path analysis, reveals that the fitness of the model is very good and the relationship between the three constructs(attitude, trust and adoption) is statistically significant, proving the validity of the first three hypotheses. Multiple regression analysis, which was designed to see if the attitude factors bears any significant relationship with the perceived characteristics of mobile internet services, shows that most of the hypotheses can be accepted, meaning the independent variables mostly have significant effects on the users' attitudes toward the mobile services. The results of another multiple regression analysis also support the hypotheses about the relationship between external factors and the perceived characteristics of mobile services. It means that corporate image and innovativeness have positive effects on the five perceived characteristics of mobile internet services.