The Critical Success Factors Identified Of The Enterprise VFB And Diagnosis Theme Selection

The enterprise diagnosis in the past was often commissioned by diagnosed enterprises, for the specific issues the consultants implement the positive diagnosis process. The business process is:the consult experts accept the commission to investigate the issues, and then propose solutions and diagnostic reports. But in the actual operation, due to the enterprise organizational structure is not perfect or the functions of the departments are fuzzy characteristics, this diagnostic process often lead to the professional value of the program weakened. And there is no help to achieve the company final value. So such these diagnostic methods are difficult to solve the problems in the enterprise.This article from the point of VE and VC analysis, using the enterprise Value Function Body (VFB) concept, adopting the reverse analysis form of VE cutting into the consulted object, and divide the VFB into four levels which in order to identify the critical success factors of each level. The identification of critical success factors can be divided into two directions:first, focuses on to solve the problem (the current value); second, focuses on the enterprise’s strategic value for the future prospects (the strategic value). The Value chain model and SWOT method as the basis of the analysis frame, this article use AHP and the maximum deviation of multi-attribute decision analysis to identify the critical success factors of the current value the strategic value. And using the expert factor evaluation method, the consultants construct four quadrants which help to select the diagnostic theme.Finally, this paper combines with the case of the PH Company, and identifies the practicality of the methods to verify critical success factors and diagnostic theme selection model. In addition, the article also on the direction of the development of the research prospects, expectations can be further optimized by improving the identification of critical success factors and applied to diagnosis theme selection, to become an effective tool in the diagnostic applications.