摘要
知识经济环境下,知识已经成为企业最关键的生产要素之一,许多企业都开始重视并实施知识管理。同时,互联网技术特别是Web2.0相关技术的发展使得知识传播和更新的速度越来越快,企业利用它们可以方便的获取和管理来自企业内外部的各类知识。然而,随着知识库中知识的大量增加,企业知识管理和应用过程中遇到了许多问题:①企业知识库重复和无用的知识越来越多,出现大量的“知识泡沫”、“知识垃圾”,导致“知识爆炸”,员工知识检索效率低下;②知识无序化现象严重,知识价值缺乏合理评价;③员工知识共享意愿不强,知识贡献考核与激励机制缺乏或效果不佳;④知识使用效率不高,员工很难找到自己需要的合适领域知识。
为此,本文从理论、方法和应用的角度对企业知识与员工知识贡献度集成评价进行研究。第一章首先阐述论文的研究背景,提出研究的主要问题,并对国内外现有相关研究进行综述和总结,进而分析论文的研究目标和意义,给出研究的技术路线和主要内容框架。第二章对Web2.0相关技术在知识管理中的应用进行分析,提出基于Web2.0的企业知识获取、组织、共享和评价的具体方式。第三章对企业知识评价和员工知识贡献度评价的内涵、特性、方法等方面进行剖析,挖掘它们之间的区别与联系,并提出企业知识与员工知识贡献度集成评价模型。第四章对企业知识综合评价方法和员工知识贡献度评价方法进行设计和实现,并针对集成评价方法可能存在的问题提出改进方法和应对策略。第五章基于委托代理理论,建立企业员工知识贡献委托代理模型对员工的知识贡献行为进行分析,并以此构建企业知识贡献综合激励机制。第六章在知识评价的基础上,针对业务流程的知识需求,提出面向流程的领域知识主动推送方法。最后第七章以某变压器企业为例,在知识管理需求调研分析的基础上,开发变压器故障知识共享与评价原型系统,并对系统及评价方法的可行性和有效性进行验证。
Under the environment of the knowledge economy, knowledge has become one of the most important production elements. Many enterprises started to pay attention to the Knowledge Management and carried out it. Meanwhile, with the rapid development of internet technologies especially that of Web2.0, the rate of knowledge transmission and update became faster and faster. As a result, enterprises can conveniently acquire and manage various types of knowledge both from outside and inside of the enterprises. However, during the process of knowledge management and application, enterprises have encountered some intractable problems:①more and more useless and redundant knowledge gave rise to innumerable "knowledge bubble" and "knowledge rubbish", which resulted in "knowledge explosion" and the low retrieval efficiency of knowledge;②the lack of reasonable evaluation for enterprise knowledge values led to serious disordering status of enterprise knowledge;③employees were reluctant to share knowledge, while the assessment and incentive mechanism of knowledge contribution was deficient or ineffective;④it was difficult for employees to find a suitable field to place their knowledge because of the low efficiency of knowledge utilization.
In order to solve the problems mentioned, this paper did a research on the integrated evaluation of enterprise knowledge and employee knowledge contribution from the perspective of theory, methodology and application.
The main research contents are as follows. Chapter1elaborated the research background, raised the main research issues, and reviewed the related status quo of domestic and overseas literatures. Then the research target and significance were analyzed, and the technical route and organizational chart of dissertation were provided. Chapter2analyzed the application of Web2.0technologies in knowledge management and proposed Web2.0-based ways to acquire, organize, share, and evaluate enterprise knowledge. Chapter3analyzed connotations, characteristics, methods of enterprise knowledge evaluation and employee knowledge contribution evaluation and then found out their differences and relationships. Moreover, an integrated evaluation model of enterprise knowledge and employee knowledge contribution was proposed. Chapter4is the priority among priorities. A comprehensive evaluation method of knowledge and an evaluation method of employee knowledge contribution were established and realized. What's more, improvement rules and strategies were put forward to deal with some employee behaviors such as cheating and negative evaluation. Chapter5constructed principal-agent model for enterprise knowledge contribution and analyzed the contributing activities of employees. Furthermore, the comprehensive knowledge contribution incentive mechanism for employees was established. After then, based on knowledge evaluation results, Chapter6proposed domain knowledge actively pushing method for process, taking the needs of business process and employees into consideration. Finally, in Chapter7, a case study on a certain transformer enterprise was put forward to develop a knowledge sharing and evaluation prototype system integrating knowledge and employee knowledge contribution. And this case validated the system and theoretical research above.
The research achievements of this dissertation will contribute to developing and perfecting knowledge evaluation theories and methodologies, and improving the enterprise knowledge retrieval, application and innovation.
引文
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