지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
“America"s economic future depends on the rapid diffusion and successful utilization of new technologies in the workplace” [President"s Commission 1985:18].
Recently, the emergence of mobile wireless collaboration technology (MWCT), which is an application of mobile wireless computing, unleashes its potentials to radically change traditional business processes by transcending the limitations of time and space. The effects of technologies are, however, less a function of the technologies themselves than of how they are perceived and used by people. In Information Systems research, Davis et al."s Technology Acceptance Model (TAM) has been widely used to understand, explain, and predict individual user"s acceptance of information technologies or diffusion of IT innovations. According to Fichman"s IT diffusion mapping framework, mobile wireless collaboration technology takes characteristics of both type 1 in terms of low knowledge burden and type 2 in terms of high user interdependencies. Despite TAM"s popularity, TAM is more concerned with independent use of innovations and the individual"s autonomous choices (adopt or reject) in the end, not incorporating interactive, interdependent aspects of collaboration technology. This leads to a speculative inference that using TAM alone to understand the impact of the new technology can lead to a limited and even an erroneous conclusion for MWCT’s adoption and diffusion. The proposed research will build a new theoretical model based on TAM framework, Markus"s critical mass theory, Rogers"s diffusion theory, and network consumption utility theory to better understand and predict the new technology’s adoption and diffusion in organizational settings. Thus, the purpose of the study is to extend TAM model to examine individual’s adoption behavior in the context of MWCT.
Recently, the emergence of mobile wireless collaboration technology (MWCT), which is an application of mobile wireless computing, unleashes its potentials to radically change traditional business processes by transcending the limitations of time and space. The effects of technologies are, however, less a function of the technologies themselves than of how they are perceived and used by people. In Information Systems research, Davis et al."s Technology Acceptance Model (TAM) has been widely used to understand, explain, and predict individual user"s acceptance of information technologies or diffusion of IT innovations. According to Fichman"s IT diffusion mapping framework, mobile wireless collaboration technology takes characteristics of both type 1 in terms of low knowledge burden and type 2 in terms of high user interdependencies. Despite TAM"s popularity, TAM is more concerned with independent use of innovations and the individual"s autonomous choices (adopt or reject) in the end, not incorporating interactive, interdependent aspects of collaboration technology. This leads to a speculative inference that using TAM alone to understand the impact of the new technology can lead to a limited and even an erroneous conclusion for MWCT’s adoption and diffusion. The proposed research will build a new theoretical model based on TAM framework, Markus"s critical mass theory, Rogers"s diffusion theory, and network consumption utility theory to better understand and predict the new technology’s adoption and diffusion in organizational settings. Thus, the purpose of the study is to extend TAM model to examine individual’s adoption behavior in the context of MWCT.
목차
ABSTRACT
1. INTRODUCTION
2. THEORETICAL FRAMEWORK
3. A MODEL DEVELOPMENT
4. CONCLUSION
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2015-320-001118050