모바일 서비스에 기반한 유비쿼터스 컴퓨팅의 사용자 수용에 영향을 미치는 요인

Factors Affecting User Acceptance of Ubiquitous Computing based on Mobile Services

The growth in the use of ubiquitous computing based on mobile services as an enabler to conduct business more effectively has been phenomenal. Technology acceptance model (TAM) has been applied in different contexts to examine a wide range of information technologies (IT). As more and more companies are finding ways to utilize ubiquitous computing based on mobile services, an important issue is to understand what factors will impact the decisions of consumers in adopting the services. Based on TAM with three additional groups of external factors, i.e., service-related factors (ubiquitous access, context awareness) and technology-related factors (perceived security risk, network connectivity) that are theoretically justified as having influence on both perceived usefulness and perceived ease of use which are additionally considered, a research model for the investigated technology acceptance was developed and empirically examined, using responses from more than intended users of ubiquitous computing based on mobile services. The specific purposes of this study are as follows. Firstly, this study is to identify service beliefs considering unique characteristics for ubiquitous services such as perceived ubiquitous access and perceived context awareness. Secondly, this study is to investigate network characteristics beliefs such as perceived security and perceived connectivity. Thirdly, this paper investigates the relationship among variables such as ubiquitous characteristics, network characteristics, behavioral beliefs, and intention to use ubiquitous web services. This study uses a structural equation model to test the research model. The major results of this study are as follows. Firstly, ubiquitous access has a influence on perceived usefulness and perceived ease of use. Context awareness has an influence on perceived usefulness. Secondly, User familiarity has an influence on perceived usefulness and perceived ease of use, and intention to use. User innovativeness has an influence on perceived ease of use. Thirdly, perceived security risk has an influence on perceived usefulness and perceived ease of use. Network connectivity has an influence on perceived usefulness and perceived ease of use. Fourth, there exist differential effects among factors in structural model among information, transaction, and entertainment services.