Development of a Composite Knowledge Manipulation Tool: K-Expert

A goal of this study is to develop a Composite Knowledge Manipulation Tool (CKMT). Some of traditional medical activities are rely heavily on the oral transfer of knowledge, with the risk of losing important knowledge. Moreover, the activities differ according to the regions, traditions, experts’ experiences, etc. Therefore, it is necessary to develop an integrated and consistent knowledge manipulation tool. By using the tool, it will be possible to extract the tacit knowledge consistently, transform different types of knowledge into a composite knowledge base (KB), integrate disseminated and complex knowledge, and complement the lack of knowledge. For the reason above, I have developed the CKMT called as K-Expert and it has four advanced functionalities as follows. Firstly, it can extract/import logical rules from data mining (DM) with the minimum of effort. I expect that the function can complement the oral transfer of traditional knowledge. Secondly, it transforms the various types of logical rules into database (DB) tables after the syntax checking and/or transformation. In this situation, knowledge managers can refine, evaluate, and manage the huge-sized composite KB consistently with the support of the DB management systems (DBMS). Thirdly, it visualizes the transformed knowledge in the shape of decision tree (DT). With the function, the knowledge workers can evaluate the completeness of the KB and complement the lack of knowledge. Finally, it gives SQL-based backward chaining function to the knowledge users. It could reduce the inference time effectively since it is based on SQL query and searching not the sentence-by-sentence translation used in the traditional inference systems. The function will give the young researchers and their fellows in the field of knowledge management (KM) and expert systems (ES) more opportunities to follow up and validate their knowledge. Finally, I expect that the approach can present the advantages of mitigating knowledge loss and the burdens of knowledge transformation and complementation.     

Investigating Knowledge Management Factors Affecting Chinese ICT Firms Performance: An Integrated KM Framework

This article sets out to investigate the critical factors of Knowledge Management (KM) which are considered to have an impact on the performance of Chinese information and communication technology (ICT) firms. This study confirms that the cultural environment of an enterprise is central to its success in the context of China. It shows that a collaborated, trusted, and learning environment within ICT firms will have a positive impact on their KM performance.     

What drives continued knowledge sharing? An investigation of knowledge-contribution and -seeking beliefs

Knowledge management (KM) research has yielded extensive explanations regarding the individual's motivation to share knowledge, each with different sets of factors. Yet the study of continued knowledge sharing is rare. There has been little research investigating this issue from contributing and seeking perspectives—the two distinct, but closely interrelated, facets of continued knowledge sharing. We propose that knowledge management system (KMS) users' beliefs are contextually differentiated, and thus a distinction between knowledge-contribution and knowledge-seeking behaviors and an adequate emphasis on their variance in terms of user belief is needed. By incorporating the knowledge-contribution and knowledge-seeking perspectives in a single study, we model and examine the differences among driving factors in two behavioral contexts, provide the conceptual comparisons and preliminary discussions, and thus advance our understanding of continued knowledge sharing via the KMS.     

基于Web Service的虚拟研究中心KMS构建

针对虚拟研究中心知识管理敏捷化、柔性化和分布式的需求特性,结合Web Service技术搭建了虚拟研究中心知识管理系统网络体系架构,提出一种基于Web Service的虚拟研究中心知识管理系统模型。依据模型框架,构建雅砻江水电开发虚拟研究中心知识管理系统。研究表明,依据模型构建的虚拟研究中心知识管理系统能有效地实现基于Web的知识共享、交流和创新,模型具有较好的可靠性和可行性。     

企业知识管理中的知识进化

知识进化对企业知识管理(KM)的有效实施意义重大。对企业KM实施中知识进化的意义、内涵以及知识进化机理进行了深入的分析与探讨;提出了知识活性的概念与测度思路。在对知识进化进行分类后,分别阐释了各自的实现机理。在此基础上,重点对编码知识的周期性进化方案与非编码知识进化策略做了深入分析,以期指导企业KM的具体实施过程。     

知识管理系统和CIMS系统的构建与设计

分析了典型的企业CIMS在知识管理下的缺陷,进而提出了一种基于知识的企业CIMS系统框架的设计思想及框架结构,并提出实现工作流管理与知识管理的集成技术又是其中的关键技术之一;实证了此系统的具体应用情况和可能产生的经济效益。     

基于CBR和XML的知识管理系统架构研究

随着知识管理系统的广泛应用以及计算机信息技术的不断发展,开发智能化的知识管理系统成为研究的焦点。将人工智能技术运用于知识管理系统中,可有效地管理组织的显性知识、最大化地将隐性知识转换为显性知识,从而实现组织更大范围的知识共享。在对现有知识管理系统分析的基础上,提出基于CBR（case-basedreasoning）和XML（extensible markup language）智能化的知识管理系统架构。该架构适于对经验知识的管理。     

基于维度模型的知识管理系统

依据目前知识管理发展趋势,结合知识的特点,提出一种基于维度模型的知识管理系统解决方案。通过研究知识的一般特性,给出基于知识维度的知识模型,讨论基于维度模型的知识组织方式与管理方法,设计基于维度模型的知识管理系统,并引入基于维度模型的知识管理服务和搜索引擎等知识维度及相关信息的处理模块。实验结果表明,该系统可融合维度模型,具备个性化、交互性强、用户敏感性好等特点。     

不锈钢生产技术的发展趋势

总结了不锈钢生产工艺的当前和未来发展及新技术的有效性，尝试分析原材料成本停滞和产品价格随通货膨胀而下跌的问题。发展方面包括利用廉价含Cr和Ni原料的新方法，熔体在电弧炉中经济脱碳的技术，以及象日本、巴西和中国所应用的铁水工艺这样的先进工艺路线。在线测温等新技术和转炉技术的发展也可能会促进更为经济的生产工艺。     

How do knowledge management resources and capabilities pay off in short term and long term?

How sustainable are the financial payoffs obtained from knowledge management (KM) resources and capabilities? To illuminate this issue, we use multiyear, firm-level survey data, as basis in examining the extent to which KM resources and capabilities influence a firm’s financial performance over time. The findings suggest that the impact of KM capability on firm performance is more pronounced in the long term than in the short term. By contrast, knowledge management systems (KMS) is associated only with immediate, short-term financial benefits with such gains prone to instability in the long term. Interestingly, knowledge stock (KS) in and of itself exerts neither short-term nor long-term impacts on a firm’s performance. However, both KMS and KS indirectly affect a firm’s long-term performance by virtue of KM capability.