Along with the progress of Information and Communication Technology, there has been a great change in the field of e-learning. For instance, the Distance Teaching, the Web-Based Teaching, and the Digital Teaching System, they all strengthen diversified Information and Communication Technology and applications of multi¡Vmedia content. Meanwhile, teachers must make good use of those new teaching tools in their teaching soon to make the tools effective. In order to make the Digital Teaching System soon become a teaching tool for teachers, this study makes the service system get involved with the Digital Teaching System and the teaching satisfaction. The Digital Teaching System uses TAM to learn the willing to use Information and Communication equipment. With the service system, which includes hardware, software, teacher training (teaching materials), and customer service, and finally teachers are provided with the Digital Teaching System to be more willing to use the equipment and moreover, to improve their teaching effectiveness. ¡@ Based on Structural Equation Modeling (SEM), this study tries to point out if the teaching satisfaction will be improved after the service system gets involved with the Digital Teaching System. Many different cram schools with their classes using tools of e-learning in Kaohsiung City are chosen and 200 questionnaires are collected to be analyzed in detail. ¡@¡@ The result shows that the service system has a distinct direct positive impact on the Digital Teaching System. Moreover, the impact on the Digital Teaching System also improves the teaching satisfaction indirectly. Hopefully, the study will prove that the service system can help the process of digital teaching go well, and the related institutions which want to promote Classroom of the Future can work faster and more easily in the future.

Radio frequency identification (RFID) technology allows for the scanning of RFID-tagged objects and individuals without line-of-sight requirements. Healthcare organizations use RFID to ensure the health and safety of patients and medical personnel and to uncover inefficiencies in operations. The successful implementation of a system incorporating RFID technologies requires acceptance and use of the technology. Nurses are a group of employees who must use RFID in hospitals throughout the United States. However, due to their being tracked by RFID technology, some of these nurses feel like "big brother" is watching them. This predictive study used a theoretical model that assessed the effect of five independent variables, namely, privacy concerns, attitudes, subjective norms, controllability, and self-efficacy, on a dependent variable, nurses' behavioral intention to use RFID. A total of 106 U.S. registered nurses answered a Web-based questionnaire containing previously validated and adapted questions that were answered through a five-point Likert scale. Two statistical methods, linear regression and multiple linear regression, were used to investigate the survey results. The results of the linear regression analysis showed that privacy concerns, attitudes, subjective norms, and self-efficacy were each a significant predictor of nurses' behavioral intention to use RFID. The results of the multiple linear regression analysis showed that all the constructs together accounted for 60% of the variance in nurses' intention to use RFID. Of the five predictors in the model, attitudes provided the largest unique contribution when the other predictors in the model were held constant. Subject norms also provided a unique contribution. The other predictors in the model (privacy concerns, controllability, and self-efficacy) were not statistically significant and did not provide a significant unique contribution to nurses' behavioral intention to use RFID. The outcomes of this study constitute a significant original contribution to the body of knowledge in the area of information systems by enhancing understanding of the factors affecting RFID acceptance among nurses. The results of this research also provide hospitals and medical centers that require their nurses to use RFID technology with information that they can use to address barriers to their nurses' acceptance and use of RFID technology.