Multi-attribute procurement auction is gaining significant importance in industrial procurement. In a traditional model, a great deal of efforts is addressed issues relating to auction mechanism design and winner determination problem under the known utility function of auctioneer. There is little research on the bidding strategies model of supplier. Based on the DEA theory, the prior winners' information was used and the bidding strategies model of supplier was proposed with the unknown utility function of procurer. The numerical example expounded application of the model. The results both help suppliers correctly infer the seller's attribute weights and determined bidding strategy. It also can help procurer increase competition between suppliers and improve buyer's utility.

Taking 60 large manufacturing industrial enterprises of listed companies in china as the research samples, an Influence of intelligent capital of listed firms to the enterprise value contributions was studied by using relevant analysis and multiple regression analysis. It indicates that intelligent capital plays an important role in the promotion of corporate profitability and enterprise market value.

Taking 62 Chinese ST industrial enterprises of listed companies as the research samples, and taking 62 Non-ST industrial enterprises of the same caliber as the paired samples, Influences of non-financial indicators on financial early-warning for Chinas listed companies were studied by using mean significance analysis, multi-collinearity analysis, and regression analysis. The results show that financial indicators and non-financial indicators should be comprehensive considered on the study of ST listed companies, and that establishing an early warning model using non-financial information and financial information will better warn the financial dilemma of listed companies.