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Since previous study offered a more general context of the IT acceptance model, here we place specific emphasis on the library context. Our study examines whether and why the Technology Acceptance Model (T.A.M.) can be used in a multipurpose system (M.P.S.) in a university. The M.P.S. is a system for users to borrow, return and renew books on loan. The variables in this study were modified, such as Perceived Usefulness (P.U.) and Perceived Ease of Use (P.E.O.U.) as independent variables and acceptance of IT as a dependent variable. The sampling technique used was proportionate stratified random, using 98 students of the Faculty of Teacher Training and Education who have implemented the M.P.S. system. Data processing techniques used multiple linear regression analysis with the SPSS data processing tool. The results showed that usefulness and ease of use have significantly positive effect on the M.P.S. acceptance model. The research focused on a university context in single province in Indonesia. Further research may extend the study with a focus on profit or non-profit organisations and different geographical areas.

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Currently, the small and micro businesses play a more and more important role in China's economic operation and development process. This paper starts from the operation features of small and micro businesses to carry out scientific selection and confirmation on main indexes for financial risk analysis of small and micro businesses, and make use of analytic hierarchy process (AHP), and comprehensive analog signal model system to carry out quantitative evaluation, scientific monitoring, and suitable early warning on financial operation risk of small and micro businesses for the purpose of establishing a set of monitoring and early warning system which meets the features of small and micro businesses. Theoretical basis Index system According to above principles and operation features of small and micro businesses, we shall consider the following financial risk monitoring and early warning index system in the process of system construction: Asset-liability ratio