A Study on Thin Client Acceptance Among Convenience Store Personnel

• Main Authors: CHUN-MING YANG, 楊竣名
• Other Authors: CHIN-HUI LAI
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/qw36mq

碩士 === 中原大學 === 資訊管理研究所 === 101 === Abstract The company of this case study wants to solve the problems of the outdating of their computer equipment in the nationwide braches, computer crashes or virus infection under improper use, inconsistency between operating system and software version, information leak, incapability of sending information back to headquarter, shortening time for installment and repair, and reducing maintenance manpower. This study proposes the Thin Client structure in the service of cloud computing. In accordance with the company’s situation, the study suggests to employ Terminal Service in Microsoft Window Server 2008. It uses the company’s current equipment to accomplish structure transfer with minimal variation as well as solve the company’s problems. Nevertheless, the company considered whether the changes on operating system might be troublesome to elder employees or affect their job performance. The most important thing is that the company was doubtful whether Thin Client can satisfy its current and future occupational needs. This study utilizes Technology Acceptance Model, Diffusion of Innovations Theory and combines them with the computer self-efficacy. Then, from users’ perspective, the study builds up a model ant try to realize if Thin Client can achieve occupational need and win users’ acceptance. Questionnaires were distributed to the company’s employees in Taoyuan County, and 230 of them retrieved are valid. Using regression analysis, we find that the outcomes all support the research hypotheses, which means the model built in this study has good predictive and reasoning capabilities. The last research result shows that users are more concerned if Thin Client can satisfy their current and future professional needs. However, Thin Client fully satisfies users’ expectation. As for learning operation, the results also indicate that age isn’t the leading factor which influences users on learning operating system. Therefore, the study results verify this model indeed very proper for the company and can be its reference.