Knowledge Quality Assessment in Knowledge Management Systems

Abstract

Enabling organizations to capture, share, and apply collective experience and know-how of people is emerging as fundamental policy to competing in the knowledge economy. There is a growing recognition in the business community about the importance of Knowledge Management (KM). As a result, there is growing enthusiasm and activity centered on knowledge management and Knowledge Management Systems (KMS). Amidst this enthusiasm revolving around KM in organizations, it is important that the knowledge that is captured, shared and applied is of a quality that enhances overall business operation efficiency and boosts customer satisfaction. The relation between knowledge quality and knowledge has been suggested in the literature as an integral part of knowledge management success. However, these two constructs have received relatively little theoretical examination. This paper explores some of the knowledge quality agents for the knowledge management process and to ascertain the relative importance of these processes towards a successful KM implementation. In the occurences of Knowledge Management KM. A framework is proposed which uses a hierarchical approach to address the dependence relationships of knowledge quality agent criteria such as completeness, timeliness, accuracy, transparency and relevancy to the knowledge acquired from explicit, embodied and embedded sources. Based on the relationships, managers can judge the need to determine which criteria are needed for the most effective direction towards improvement. Also it should be given the first priority for the development and execution of KMS.

Keywords: Knowledge, Knowledge Quality, Knowledge Management, Analytical Hierarchical Process

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