| Summary: | 碩士 === 正修科技大學 === 資訊管理研究所 === 102 === According to the investigation report of the Ministry of the Interior on the business overview of real estate service industry, the transaction volume from the first quarter of 2013 to the fourth quarter of 2014 gradually declined. Compared with the purchase and sales of real estate, the intermediacy of real estate from the first quarter of 2013 to the fourth quarter of 2014 has a slight rising trend. In terms of the evaluation of growth, the real estate transaction in this period declines. To improve the profit and value of the real estate industry in such a downturn period, the enterprises should rely on the promotion of knowledge management by the senior management. To effectively store, apply and share the important knowledge within the enterprise, innovation is an important topic. In order to make the employees improve business performance while learning various tactics to respond to all kinds of customers, it is a good choice to use knowledge management system in the portable device carried by the employees. However, not all employees possess the intelligent portable device, and some older employees think it is unnecessary to follow the trend of technology blindly, but insist on using the old portable device. As a result, the enterprises cannot obtain the knowledge crystallization of all employees. Therefore, this study aims to discuss the influence of technology fit and computer self-efficacy on the behavior of using knowledge management system, and conduct a questionnaire survey on the real estate brokerages with knowledge management system, so as to analyze how the important factors of the usage of knowledge management system influence the use behavior. Paper-based questionnaires were distributed to the real estate brokerages concerning the use of knowledge management system, and 105 effective samples were retrieved. The data were analyzed using smartPLS 2.0. The results showed that except for the task characteristics and computer self-efficacy that are statistically insignificant, the technology characteristics and task technology fit have a significant influence. Finally, based on the results, the conclusions and suggestions are proposed.
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