Using UTAUT model to discuss Service Quality for accepting Cloud Computing indicators - SaaS Example

• Main Authors: Fu-Yao Yang, 楊富堯
• Other Authors: Tung-Hsiang Chou
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/74673258419992106070

碩士 === 國立高雄第一科技大學 === 資訊管理研究所 === 99 === The concept of cloud computing is getting more mature because of the improvement of internet technology. Users can to use cloud services via any Internet browser and execute all kinds of services among three types of cloud computing, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Each kind of service contains a lot of programs for the user. For example, IaaS provides servers, Internet facilities, and storage devices. PaaS provides databases, operating systems, and development systems, etc. SaaS provides lots of software and applications for customers. The cloud computing provides diverse services for their user, but the users still do not really rely on cloud computing right now. This research starts to accomplish the consensus between providers and consumers from the knowledge of cloud computing accordingly. Hence, this research uses the SERVQUAL as a theory for assessing the common user’s usage of cloud system. We divide the service into two basic online services – document management and the social network. With summarize a lot of literature reviews and relying on quotas and questionnaires, we obtiain for the knowledge how the users operate the system functions and understand the system from user’s viewpoint. According to this research’s studies, we summarize 6 dimensions and 13 indicators for discussing cloud computing. And this researchs try to use the usage of integrating technology (UTAUT) as the theoretical framework, and propose for a total of sixteen hypotheses for the questionnaire. Then we build a model of the validation from statistical analysis and to understand the users of their behavioral intentions and usage behavior in SaaS. The results demonstrate that the application of software and services are differentially affect with service quality factors, therefore, this research proves that why users’ acception and intention need to use service quality of SaaS. This research helps future researchers to understand how to examine the continuance of particular information from the perspective of adopters. Based on the conclusion, service providers can use the concept to do the further research.