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By extending the updated D&M IS success model, this study examines the multi-dimensional aspects to identify influential factors and construct a suitable model for explaining NHSS success in Taiwan. Through the empirical results from the perspective of 1215 public healthcare workers, this study has arrived at several findings. First, eight salient factors were found which influenced NHSS success from the dimensions of user characteristics, organizational context, and system characteristics. Second, the factors of user experience, user training, information quality, service quality, and user satisfaction have a strong positive effect on system use, whereas user attitude and facilitating conditions have a significant and negative effect. Further, user attitude, user training, top management support, system quality, information quality, and service quality are also significantly correlated to user satisfaction. The results of this study can assist governments in other countries in developing more effective NHSS and better e-Government practices.

The current research presents a theoretically sound model on information systems (IS) characteristics' effects on end-users' perception of computer self-efficacy and outcome expectations. Based on the IS success model and the social cognitive theory, the relationship among factors with regard to small-and medium-sized enterprises (SMEs) in Taiwan is examined. Using mail survey, 284 usable responses are obtained, and the total response rate is recorded at 51.64%. Structural equation modeling (SEM) is employed to assess the relationships among related constructs. In modeling the results of data analysis, it is shown that (1) there are no direct links between both information quality and service quality with computer self-efficacy, but the effect of system quality is observed; (2) the relationship between both system quality and service quality with outcome expectations is significant, but that with information quality is not; and (3) outcome expectations mediates the impacts of computer self-efficacy on end-users' satisfaction. Finally, the implications of the results are provided, and directions for future research are discussed.

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A medical knowledge system (Mediks) has been developed for medical diagnostic consultation and clinical decisionmaking. A diagnostic model and processes for multiple-disease diagnoses have been proposed. The system was implemented on a PDP-ll/40 computer system. About 530 diseases and 3,318 manifestations of internal medicine have been entered in the Mediks Mark-II data base for performance testing and evaluation.