The proverb ¡§Knowledge is power¡¨ points out the importance of knowledge. The advancement of information technology and increased competition among enterprises has pushed many researchers to study knowledge management. Most organizations understand the importance of knowledge and treat knowledge as a vital resource. However, it is not quite clear whether knowledge resource can increase organizational performance in the constantly changing environment. Although literature has indicated the key role of knowledge resources and their impact on organizational performance, empirical study is still lacking in this research domain. Hence, the purpose of this study is to investigate the relationship between knowledge resources and organizational performance. An empirical study was conducted to evaluate the research model. Major findings include: (1) The degree of knowledge documentation has significant positive effect on the market performance of an organization; (2) Organizational culture and the degree of information technology applications have significant positive effects on both management performance and market performance. Organizational structure has significant positive effects on management performance, but the explicit-orientation of knowledge management strategy has negative effects on both management performance and market performance; (3) The nature of organizational knowledge has a moderating effect on the effect of the degree of information technology applications on management performance. Our findings can help managers and chief knowledge officers better the nature of organizational knowledge and organizational performance in order to cope with the dynamic environment.

There were more than 16 new banks operated in Taiwan since The Ministry of Finance unlimited the bank licenses in 1991. Since then, the competition of banks have become very roughly. The local banks expect to reach the scale of economics and fit the global style by merger and acquisition. The purpose of merger and acquisition between banks includes: to increase revenue transfer know-how and establish the corn business. There will be existed that knowledge lost in transfer in the processing of merger and acquisition. How to ensure the whole transfer of knowledge? How to fit well in different organizations? Is there a better profit after merger and acquisition? The knowledge management is a key point. In this study we found (1). There are 5 items must be notice: information system, human resource, organization restructure, culture, risk management. (2). By the flow of knowledge management can increase the knowledge capital of bank and reach the purpose of merger and acquisition. (3). The item of human resource is more importance than other items. (4). The new name after merger and acquisition must be considerately. ¡iKey words¡j Merger and acquisition, knowledge management, knowledge capital, risk management,

Following the approach of knowledge generation of economy, knowledge has become a mean of business survival competition and an advantageous implement or creative competition. How to share knowledge among businesses as to expand the productivity and ability, as to produce new knowledge and promote competitive advantages out of mutual agitation of knowledge, and how a business can applicably perform the informative facilities as to circulates in this scientific generation, shall be the one and only way of continuous operation of present business. Firstly, the research shall establish a relevant theory of knowledge management, develop and design questionnaires in connection with the local¡¦s transnational business trading. The relationship between the movement of multi-national business knowledge management and global configuration strategies can be conferred with the researched statistical analysis. Then, the research shall discuss the system that the business shall operate as to push the knowledge management and the influences that may incur. Secondly, the research shall discuss the relevance of business qualities and knowledge management, as to clarify the influences of knowledge transferable strategy under different industrial stages. Lastly, the research will describe the relationship between the subject of knowledge management and global resources configurative strategies. The research came up with the following discoveries after applying quantitative analysis and collected data integration: 1. The greater tends of organizational culture toward open-up and active shape, the greater help it will be for the business movement for knowledge management. In addition, basic information development of knowledge organization has influences toward the organizational movement of creating new knowledge, transfer of knowledge and management of knowledge. In other words, the more complete that the business information construction is, the more systemized and greater help it will be to push the knowledge management. 2. An enterprise must pay great attention to the transfer of knowledge during its development period. During the business development period, the entire environment is developing and changing rapidly. Thus, the enterprise must have great alert of the market behavior, and mostly important, to have frequent communication with the employees and share experiences with them. 3. There are greater influences on the distribution of organizational resources during the development period of the business¡¦s industrial stage rather than its maturity period.

The relathionshiops between industry attribution and knowledge management-A case study on Petroleum and Petro-chemical Industries, steel industries, and TFT-LCD industries. To meet the demands of the market and create demands and hence to build up new competitive advantages in the knowledge-economy world, the focus of enterprises is to manipulate knowledge, make good use of the characteristics of knowledge-sharing and innovation. Therefore, knowledge management can be deemed as a weapon for organizational management and organizational development. With fine-quality knowledge, enterprises can create new knowledge and enhance corporate competitiveness. The aim of this research is to explore the differences of the mechanisms of knowledge management and the relationships between industry attributions and knowledgement among enterprises. With interviews with companies and relevant literature review, we conclude the following researching findings: Research finding 1: When the technologies in an industry go into a ripe phase, the model of knowledgement tends to focus on integrating explicit knowledge; when the technologies are still in the growth phase, the model of knowledge management focuses on internal interaction. Research finding2: Enterprises place more importance on knowledge transfer and their knowledge management mechanisms focus on information system when the industry life cycle is in the ripe phase; enterprises value knowledge innovation and their knowledge management mechanisms focus on the platform of human interaction when the industry life cycle is in the growth phase. Research finding 3: Industries in ripe phase emphasize the knowledge storage, diffusion, and application; industries in growth phase emphasize the knowledge creation. Keyword: knowledge management, industry attribution, industry life cycle, mechanism of knowledge management.

In an era of new knowledge-based economy, knowledge management would promote the organizational performance and improve the competition in the global market. Improving organizational members¡¦ willingness of knowledge sharing will be useful for carry out knowledge management. The purpose of this study is to explore the relationships among perceptions of organizational politics, trust and knowledge sharing in the industries for understanding employee¡¦s degree of perceptions of organizational politics, attitudes of trust and feelings of knowledge sharing in the organization. Therefore, this study constructs a model which perceptions of organizational politics is the independent variable, knowledge sharing is the dependent variable and trust is the mediate variable to identify the causal relationships. The sample consisted of 1037 employees selected from 42 firms among 5 industries in Taiwan. The data were analyzed by reliability analysis, descriptive statistics analysis, independent-sample T test, one-way ANOVA, correlation analysis and regression analysis. The major findings of this study are as fallow: 1.Seniority, official rank, industry, firm age and firm size among individual variables have significant difference in perceptions of organizational politics. 2.Educational level, income and firm age among individual variables have significant difference in trust. 3.Marital status and age among individual variables have significant difference in knowledge sharing. 4.Perceptions of organizational politics have significant negative relationship with knowledge sharing. 5.Perceptions of organizational politics have significant negative relationship with trust. 6.Trust has significant positive relationship with knowledge sharing. 7.Trust has partial intervening effect between perceptions of organizational politics and knowledge sharing.

Knowledge management is an important weapon for business competition. Many organizations are adopting knowledge management systems. For knowledge management, document management is its key foundation. There is a large amount of procedural knowledge existing in decision documents. This knowledge can illustrate the process and considerations in a decision situation, called episodic. The episodic knowledge can help decision makers understand historical decision process and considerations for future decision making. Therefore, how to discover decision episodes from existing documents is a major research issue in knowledge management. This research proposes a method for episode mining that integrates automatic document summary techniques, knowledge ontology, and index structures to build the relations and processes of events, and use the Gantt Chart and Flow Chart to portray event processes. We build a prototype system and use a news event as our example to illustrate the feasibility of the proposed approach and demonstrate the results.

In the coming knowledge-based economy era, knowledge structure map (KSM) has becoming more and more important. If learners doing learning without the support of knowledge structure map, it will cause learning alone problem. In order to construct a real KSM, we targeted the MIS domain. By using the National Dissertation and Thesis Abstract System as input source, we first extract different research subjects from keywords and then calculate the relation strength between each keyword pairs. An automatic approach has been developed for constructing KSM for different periods of time. The constructed KSM can help learners to reduce learning alone and provide a good reference for new researchers to seek for related research directions. The proposed method can also be applied to enterprises. They can adopt this method to construct any specific KSM corresponding to their professional domain, the constructed KSM would help new employee to learn better. Furthermore, with the support of KSM, CEO can make a better decision as the KSM would contain internal and external competitive advantages about future directions.

Cooperative learning is a major teaching method which is used by many instructors as their teaching framework. It has been proven better than individual and competitive teaching methods by raising higher group achievements and individual achievements with more diverse reasoning and logic thinking, and more creative ideas. Many researchers make their efforts in promoting the outcomes of cooperative learning from different viewpoints. One of them is Zone of Proximal Development (ZPD), which emphasizes that teachers and learners with higher capability can support other learners to develop their ZPD through proper scaffolding. Prior Knowledge plays an important role in scaffolding. In order to maximize the effect of scaffolding, learners supported by scaffolding must possess enough prior knowledge. At the same time, teachers must consider the whole teaching progress and it is difficult to be aware of every individual learner¡¦s learning progress and offer adaptive assistance to each of them. Thus, we propose two mechanisms: knowledge diagnostic and learning material developed by using IT techniques to promote learners¡¦ prior knowledge in a specific domain. Students were given different mechanisms and divided into twenty groups to resolve their cooperative tasks. Their cooperative learning outcomes were measured by tasks achievement and perceived of cooperation process that is composed of perceived of cooperation extent, perceived of task conflict and perceived of emotional conflict. The result shows that the combination of knowledge diagnostic and learning material can promote students¡¦ prior knowledge in the domain we selected. The result of cooperative learning outcomes shows that there is a positive relationship between prior knowledge and task achievement, and a positive relationship between prior knowledge and perceived of task conflict, but there is no significant relationship between prior knowledge and perceived of cooperation extent and nor between prior knowledge and perceived of emotional conflict.

With the computerization of businesses, more and more data are generated and stored in databases for many business applications. Finding interesting patterns among those data may lead to useful knowledge that provides competitive advantage in business. Knowledge discovery in database has thus become an important issue to help business acquire knowledge that assists managerial and operational work. Among many types of knowledge, classification knowledge is widely used. Most classification rules learned by induction algorithms are in the crisp form. Fuzzy linguistic representation of rules, however, is much closer to the way human reasons. The objective of this research is to propose a method to mine classification knowledge from the database with fuzzy descriptions. The procedure contains five steps, starting from data preparation to rule pruning. A rule induction algorithm, RITIO, is employed to generate the classification rules. Fuzzy inference mechanism that includes fuzzy matching and output reasoning is specified to yield the output class. An experiment is conducted using several databases to show advantages of this work. The proposed method is justified with good system performance. It can be easily implemented in various business applications on classification tasks.

Abstract Knowledge map, like the ¡§Yellow Pages¡¨ of knowledge, indicates where knowledge is and how to get it, but doesn¡¦t contain knowledge. The principal purpose of a knowledge map is to show domain expert when someone need expertise. The principal purpose of a knowledge map is to enhance the efficiency to find the exact expertise someone need. In this digital age, it is a trend for e-learning learners to search knowledge on the Internet. However, when learners try to explore knowledge, they will confront the two important problems:¡ucognitive disorientation¡v and ¡uinformation overloading¡v. This research bases on the function of search engine on the Internet, extract the keywords on the web document, and then analyze the relationship between the keywords appearing on web page. So, we can develop the process of knowledge mapping to construct integrated Knowledge Map (KM). It can reduce the cost and time that is essential for the traditional method. With guidance of the KM, learners can find specific knowledge or discover knowledge relationships more effectively when exploring on the Internet. The contributions of this survey are as followings: Collecting keywords of knowledge automatically, Constructing knowledge relation graph, Constructing knowledge hierarchy graph, and Constructing knowledge time trend graph.