Catálogo de publicaciones - libros

General application of information technology leads to modern corporate information mechanism. With this mechanism corporation can make full use of knowledge resource, improve managing efficiency and make corporate performance better. But on the other hand, competition among corporations also becomes more drastic under the unifying trend of global economy. This paper gives a brief view of some characteristics of knowledge and information. We show what constitutes corporate stratagem. In our analysis, corporate dominance comes from knowledge management and knowledge innovation. All of it involves collecting, processing, innovating and utilizing information and knowledge resource. To success, corporation must turn to knowledge management and knowledge innovation. From this point of view, we put forward two arrangements for corporation to win dominance in drastic market competition. The first is about practice of knowledge management in corporate activity. The other is strategic framework of corporate management and competition based on knowledge management.

In this paper, we explore the role of vertical cooperative (co-op) advertising efficiency of transactions between a manufacturer and a retailer. We address the impact of brand name investments, local advertising, and sharing policy on co-op advertising programs. Game theory concepts form the foundation for the analysis. We begin with the classical co-op advertising model where the manufacturer, as the leader, first specifies its strategy. The retailer, as the follower, then decides on its decision. We then relax the assumption of retailer’s inability to influence the manufacturer’s decisions and discuss full coordination between the manufacturer and the retailer on co-op advertising. Two alternative bargaining models are employed to select the best co-op advertising scheme for achieving full coordination.

Many methodologies have been introduced to deal with project portfolio selection problem including some techniques that help to evaluate individual projects, or to select a portfolio among available projects. This paper, however, provides several XML-based schemes for building efficient and flexible project portfolio selection systems based on an integrated portfolio selection model proposed. In additional to provide an interactive and adaptable portfolio selection management framework for the organizations, we also stress the use of XML to standardize the data representation for developing Webbased decision support systems with heterogeneous data sources and multiple decision models.

This paper proposes a multi-objectives decision-making method for loan portfolio based on the efficient frontier. This method is based on a multitargets decision-making model with two objective functions, one of which is to be maximized for return with regard to risk and the other minimized for risk with regard to return. We will use the method of geometry to solve this difficult problem. This method has three advantages. First, given the relative weights of each component, the risk of the portfolio, or the return of the portfolio, we can obtain the corresponding optimal loan portfolio. Second, the method is easy to understand and the calculation is simple, because it avoids reversing many matrices. Third, banks can pay adequate attention to casting credit to valuedclients and limited-clients. As a result, banks will be able to serve the debt needs of their clients well.

How to develop the capability of an enterprise is a vital problem to many knowledge based enterprises. This paper argues that an enterprise can achieve dynamic development of its capabilities by constructing cooperative knowledge network (CKN). The network can provide the enterprise with multiple learning opportunities and the enterprises in the network can dig out, acquire and exploit all kinds of knowledge resources in the network. Development of the enterprise’s capability needs an established basic capability as the foundation together with sustainable learning ability and transformation capability. Based on theoretical analysis, a case is discussed about a high-tech enterprise, Nanjing SVT Group, constructing the CKN for IC design. The paper concludes that construction of CKN is an effective way to acquire internal and external knowledge to improve the capability of the enterprise.

Data mining is a useful tool to draw useful information from large database. In scientific research organizations evaluation, there exists a problem of using the same criteria to evaluate different types of research organizations. In this paper we propose a clustering method to make classification of the scientific research organization of CAS, and then according to this classification we evaluate the scientific research organization using the annual evaluation database of CAS to test our method.

There is no believable risk map because of the tremendous imprecision of the risk assessment due to the incomplete-data set. To improve the probability estimation, the fuzzy set methodology was introduced into the area of risk assessment with respect to natural disasters. A fuzzy risk represented by a possibility-probability distribution, which is calculated by employing the interior-outer-set model, can represent the imprecision of risk assessments with a small sample. Thus, by using the fuzzy set methodology, we can provide a soft risk map which can accommodate the imprecision of risk assessment. Soft risk map can be adopted as a useful tool for the representation and reasoning of uncertainty of risk assessments due to incompleteness in real-world applications.

In this study, a novel hybrid AI system framework is developed by means of a systematic integration of artificial neural networks (ANN) and rulebased expert system (RES) with web-based text mining (WTM) techniques. Within the hybrid AI system framework, a fully novel hybrid AI forecasting approach with conditional judgment and correction is proposed for improving prediction performance. The proposed framework and approach are also illustrated with an example here.

The paper is devoted to a visualization-based data mining tool that helps to explore properties of large volumes of data given in the form of relational databases. It is shown how the tool can support the process of exploration of data properties and selecting a small number of preferable items from the database by application a graphic form of goal programming. The graphic Web application server is considered which implements the data mining tool via Internet. Its current and future applications are discussed.

Microarray experiments are used to perform gene expression profiling on a large scale. The focus of this study is on the efficiency of statistical design for single factor cDNA two-color microarray experiments. Relative efficiencies of proposed designs in Yang ([13]) are studied within the framework of incomplete block designs as well as row-column designs. Such efficiencies are investigated under fixed and mixed analysis of variance models. Furthermore, a real data analysis is conducted.