Abstract Today we can¡¦t lift without Information Technology (IT). The more improve of Hardware and Software, the more convenient our daily life. Although the improvement of technology and management sector is faster and faster, most software house can¡¦t have good performance. The management studies of software house in Taiwan always focus on the Critical success factors (CSFs) and Competitive Strategy. Nobody knows how the performance change process. System Dynamics (SD) is a practical behavior process method. The study transfers the real business process of software house into SD Model. Through the simulation and strategy test, we can see the process of performance improvement. The study makes the structure of business process clearer, and finds a important thing of software house management ¡V Keep the Quality¡BSchedule and Man allocation, even better. The study also uses the SD model to prove the importance of owning core market.

The dissertation deals with credit risk and default prediction for software companies in the light of Basel II, the new capital accord for financial institutions. A credit risk model was developed which can be used by lenders to predict the default of software companies. Such model was developed by using three independent approaches: In a first approach, a model was created which was based solely on quantitative data (i.e. accounting data). In a second approach, a model was developed which was based entirely on qualitative information, including management skills, know how, quality of services and others. In a third approach, the quantitative and the qualitative models were combined. The results indicate that a credit risk model which is based on both quantitative and qualitative information yields the strongest predictive power. (author´s abstract)