基于知识流模型的自动化企业知识管理研究

研究意义 知识管理即在正确的时间、正确的位置撷取正确的信息,以帮助企业工作者做出正确及关键的决策,知识管理系统被喻为企业的数字神经系统。 对于自动化企业来说,研究知识管理,充分利用知识提高竞争力和创造经济价值,已成为企业进一步发展的关键。人是企业知识最重要的载体,因此对人的管理成为自动化企业知识管理的核心,包括知识员工的激励、培训及知识环境的营造。 自动化企业的知识流模型 自动化企业的知识可分为两类:显性知识和隐性知识。显性知识主要存在于企业核心知识库中,而隐性知识则主要存在于知识员工的头脑中。整个企业的…     

知识协同管理平台概述

企业为了提高竞争力,已经不满足于只对显性知识的管理,也开始注重对隐性知识的管理。而现今的大多数知识协同管理工具没有注重对隐性知识的管理。从而因人员的流动所引起的隐性知识流失给企业带来巨大的损失。为此,本文在介绍了一些成熟的知识协同管理理论之后,设计与实现了一个基于知识管理理论的工具平台。该平台运用SOA、工作流和知识地图等技术,能同时有效地管理显性知识与隐性知识,为提高企业员工获取知识与创造知识的能力提供了一个有利的支撑。     

构建隐性知识管理系统的探讨

随着知识管理的发展,隐性知识逐渐成为知识管理的核心.为了实现对隐性知识统一、有效地管理,在对隐性知识管理的现状及问题的分析基础之上,提出了较为完备的隐性知识管理的功能模型,并对其实现的关键技术进行分析.该模型将使得隐性知识管理从分散的理论研究落实到具体可实施的技术层面上,在一定程度弥补了当前对隐性知识管理应用研究的不足.     

知识管理中几个关键问题的研究

知识经济的发展给传统的工业经济带来了一系列新的思维和管理方法。知识已逐渐成为经济发展的核心要素。“知识管理”是近几年出现的一个重要的词汇,目前还处在探讨发展阶段。该文旨在通过其中的几个关键问题如知识的动态特征,隐性知识与显性知识等来阐述知识管理的内涵,以加深对知识管理的理解与共识。     

Wiki技术及其在企业知识管理中的应用

在知识经济时代,成功的知识管理是企业获得竞争优势的关键所在,然而传统的知识管理工具很难实现隐性知识的开发利用。针对此问题,构建一个基于Wiki的知识管理模型,用户可以分散、协作地创建、管理企业知识,实现隐性知识与显性知识的转化,并通过Wiki平台中知识与产品信息的关联,构造企业产品设计导航系统。最后通过实例,说明该平台的应用,为提高企业解决实际问题的能力提供重要的参考。     

基于社会性软件的隐性知识显性化探究

隐性知识是知识的核心,把隐性知识显性化出来也是创造知识的重要环节。社会性软件的出现,促进了知识的积累和创造。在社会性软件构建的环境下,从社会认知心理、马斯洛层次需要理论和社会网络弱链接等三方面分析社会性软件对隐性知识显性化的影响。     

知识资产评估方法的探索

当前有关知识的分类，可以从“隐性/显性”和“个体/集体”两个维度分成四类。在显性知识方面，个体知识和集体知识的主要区别在于知识归属由于具有可见的特性，显性知识管理可以更多的使用有形资产的管理方法，而隐性知识则是由有关知识的理论带来的新概念。对于隐性知识的管理，值得我们进行深入地探讨。在公司中，知识除     

职业院校教师知识管理存在的问题及策略探析

知识管理是教师专业发展的重要途径。采用问卷调查法、访谈法和观察法等收集研究数据,在对数据进行处理后得出教师知识管理存在知识零散无序,分享知识意愿低,教师缺乏实践性隐性知识的管理等问题。针对这些问题,本文提出了利用知识管理工具分类整理知识资源,提升知识分享的意识及撰写基于反思的教育叙事,挖掘隐性知识等策略。     

一个连锁零售企业知识门户系统的研发

针对连锁零售企业知识管理的难点,对一个连锁零售企业知识门户系统进行了分析、设计及程序实现。为连锁零售企业建立了一个管理显性和隐性知识的统一用户平台,并利用数据仓库技术解决了异地数据的一致性问题。     

唤醒“沉睡”的知识

<正> 在知识管理大行其道的年代,很多企业的领导都在考虑如何将存在于员工头脑中的知识充分挖掘出来,最大限度地发挥知识的力量。因此,在很多知识管理的实践项目中,实施重点一般都放在对显性或隐性知识的挖掘整理和集中过程上,很多人忽视了企业中已经存在的知识。无论是何种类型的企业,都或多或少存在着一些已经成形的知识,比如产品手册、各种白皮书、方案建议书、内部论坛等等,其中有些是经过精心整理和编写过的,而有些是零落的关键知识点,     

Application of multivariate statistics and 3D visualization analysis in tacit knowledge diffusion map

Tacit knowledge is an important factor for enterprises and institutions to enhance their knowledge innovation and value-added capabilities, and it is also a basic link to enhance organizational learning capabilities. With the development of technology, the dissemination of tacit knowledge has increasingly shown complex and dynamic trends. In order to make the tacit knowledge in the enterprise better circulate and generate greater economic value, therefore, this paper proposes a study on the diffusion map of tacit knowledge based on multivariate statistics and 3D visualization analysis. First of all, this paper analyzes the internal relationship between organizational learning and organizational tacit knowledge integration and organizational tacit knowledge innovation, and combines multiple statistical methods to propose an organizational tacit knowledge integration method based on tacit knowledge management. Secondly, we combine 3D visualization and generative confrontation network methods to analyze the data of tacit knowledge dissemination, and visualize the distribution of knowledge dissemination in three dimensions. In the simulation experiment test, this paper reveals that the spreading efficiency of tacit knowledge in the network is affected by related factors. Through this model, we hope to explore the behavioral laws of different types of nodes in the network and propose effective countermeasures to improve the efficiency of knowledge dissemination.     

KMS中的知识仓库模式设计

知识仓库是知识管理系统（KMS）的重要组成部分,知识仓库模式设计的好坏直接影响到开发的软件质量。通过对KMS的知识仓库模式设计的需求分析,提出了一个基于知识载体、知识内容、知识背景、知识主体和角色的知识仓库模式的概念设计方案,并利用知识建模语言CML较详细地设计了KMS的知识仓库模式。利用该规范化的模式建立的知识仓库,可以更加方便有效地实现KMS的背景敏感性、用户敏感性、灵活性和建设性,并有助于显性及隐性知识的统一管理。     

The impact of trust,guanxi orientation and face on the intention of Chinese employees and managers to engage in peer‐to‐peer tacit and explicit knowledge sharing

Knowledge sharing is recognised as one of the most critical components of knowledge management. Successful and efficient knowledge sharing could directly facilitate knowledge creation and so help a firm to maintain its competitive advantage. Consequently, identifying which factors could encourage or inhibit people to share knowledge is potentially of great value. In this study, we explore the impact of selected socio‐cultural factors, viz. trust, guanxi orientation and face, on the intention to share explicit and tacit knowledge in Chinese firms. Two hundred and four employees from Chinese organisations were surveyed on their knowledge‐sharing practices. Our findings indicate that while cognition‐based trust has no significant effect on the intention to share either tacit or explicit knowledge, affect‐based trust has a significant effect on both. Meanwhile, face‐gaining behaviours have a positive effect, while face‐saving behaviours have a negative effect on the intention to share knowledge. Finally, guanxi orientation also has a strong impact on knowledge sharing. The implications of these findings for organisations and their knowledge management initiatives are discussed.     

基于MAS的本体在企业知识管理中的应用研究

在企业通过各种手段获得知识积累后,如何与其他的战略伙伴进行有效的共享是当前企业知识管理的一大难题。引入了基于多Agent系统（MAS）的本体概念,采用框架系统对客观存在的概念、关系和规则进行描述,对企业联盟中不同企业间的术语进行统一的定义,使其能够被机器理解,从而消除机器交互时所产生的歧义,充分发挥Agent主动性、协作性等特征,实现企业之间的本体交互,达到知识共享的目标。     

The contribution of tacit knowledge to innovation

Tacit knowledge is widely acknowledged to be an important component of innovation, but such recognition is rarely accompanied by more detailed explanations about the nature of tacit knowledge, why such knowledge is significant, how it becomes codified or whether there may be limits to codification. This paper attempts to fill some of the gaps, drawing on a recent study of university/industry links in three emerging technologies. It concludes that tacit knowledge, which can only be transmitted through personal interaction, will continue to play an important role in innovation. This derives from a variety of reasons, but most significant are the complexity of systems and the emergence of new technologies.     

A case-based reasoning approach to cognitive map-driven tacitknowledge management

Knowledge is at the heart of knowledge management. In literature, a lot of studies have been suggested covering the role of knowledge in improving the performance of management. However, there are few studies about investigating knowledge itself in the arena of knowledge management. Knowledge circulating in an organization may be explicit or tacit. Until now, literature in knowledge management shows that it has mainly focused on explicit knowledge. On the other hand, tacit knowledge plays an important role in the success of knowledge management. It is relatively hard to formalize and reuse tacit knowledge. Therefore, research proposing the explication and reuse of tacit knowledge would contribute significantly to knowledge management research. In this sense, we propose using cognitive map (CM) as a main vehicle of formalizing tacit knowledge, and case-based reasoning as a tool for storing CM-driven tacit knowledge in the form of frame-typed cases, and retrieving appropriate tacit knowledge from the case base according to a new problem. Our proposed methodology was applied to a credit analysis problem in which decision-makers need tacit knowledge to assess whether a firm under consideration is healthy or not. Experiment results showed that our methodology for tacit knowledge management can provide decision makers with robust knowledge-based support.     

Measurement of enterprise knowledge by state characterization

Abstract: Enterprise production is becoming more and more knowledge oriented nowadays and knowledge management is playing a key role in making commercial profit and maintaining enterprise competence. Knowledge characterization and measurement are the bases of knowledge management, and this paper aims to develop a method for characterizing and measuring knowledge in a comprehensive and practical way. Knowledge in its static state is modelled as a vector, whose values vary with the situation, and changes in state are modelled as a finite state machine.     

基于贝叶斯网络的个体隐性知识测度方法研究

隐性知识是企业创新力和竞争力的源泉，因此对其进行合理地表达、转换、分享和测度，将会为企业带来无形却巨大的经济效益。基于此，提出基于贝叶斯网络的个体隐性知识测度方法。构建了包括特定情境的设定和分析，贝叶斯网络拓扑结构的构建、节点概率的参数学习，贝叶斯网络的概率推理、排序和解释及其模型的有效性测试等在内的个体隐性知识测度模型。最后，以L企业研发部的招聘活动为例进行算例分析。结果表明该算例模型的有效性约为75%～80%，验证了所提方法对隐性知识的客观量化测度具有较好可行性和有效性。     

An approach to capturing and reusing tacit design knowledge using relational learning for knowledge graphs

Tacit design knowledge plays an important role in the process of product design and is a valuable knowledge asset for enterprises. In terms of the characteristics of tacit rational design knowledge, this paper puts forward a scientific hypothesis and approach on capturing and reusing tacit rational design knowledge. The presented approach represents the observable design result facts of products using design knowledge graphs. A design issue-solving oriented knowledge graph model is presented, where directed relation edges represent design issues, and nodes stand for design solutions. When a new design solutions requirement needs to be searched, tacit design knowledge can be reused by relational learning for the constructed design knowledge graphs. In relational learning, the design knowledge graph is converted into a three-order tensor, where two modes are solution nodes, and the third mode holds the issue relations. Then, a tensor factorization approach is employed to calculate the latent features between design solutions for an issue relation. As a result, a score vector to represent the existence of issue-solution relations can be obtained. By sorting the scores in descending order, we may select the solution node with the highest score as the design solution to be searched. Finally, a stamping die design case study is provided. The case study shows that the proposed approach is feasible, and effective, and has better flexibility, scalability and efficiency than CBR methods.