The Study On Competitive Indices of Knowledge Enterprise- A Case of ERP Software Firm in Taiwan

• Main Authors: Cheng-Yi Liu, 劉正義
• Other Authors: 張錦特
• Format: Others
• Language: zh-TW
• Published: 2001
• Online Access: http://ndltd.ncl.edu.tw/handle/11932666931482783643

碩士 === 國立彰化師範大學 === 商業教育學系 === 89 === 　　　　　　　　　　　　　　　ABSTRACT 　　With the advant of the knowledge-economy ages, the enterprise numbers, which regard knowledge as the main resource, are dramati- cally to increase recently. This kind of enterprise with high knowle- dge-intensity entity usually holds predominantly competitive advan- tage and generates the superior stock price. By abandoning the analy- tical method of traditional financial indices, this research attempts to develop a new assessment method for constructing the competitive index model of the knowledge enterprise based on regarding single enterprise as a unit of measurement. The final purpose of this research is to investigate the cause of formulating competitive advantage. 　　According to the relative theories, this research develops an six- step model to analyze the research problem in the context: defining the type of the knowledge enterprise, developing the initial frame with the value-chain model, maping out the competitive cause-effect cogni- tive map and frame diagram, designing the expert-type questionnaire with interviewing, testing the degree of reliability and validity of the primary data, and running the simulation of the index weight. 　　We choose a representative knowledge enterprise as an experi- ment sample for our suverying in this research process. From the sup- port of many experts in the field, we obtain the experiment data with high degree of reliability and validity. Then, we can see the meaning and the variation of the index weights within the model. Finally, we get some interesting results from these valuable data. This result not only provides the CEOs of ERP enterprise with the pratical reference, but also can identify the integrity of the competitive index model and process in our model.