A set of principles for conducting and evaluating interpretive field studies in information systems
MIS Quarterly - Special issue on intensive research in information systems
Decision Support Systems - Knowledge management support of decision making
Information Systems Development: A Database Approach
Information Systems Development: A Database Approach
CAiSE '00 Proceedings of the 12th International Conference on Advanced Information Systems Engineering
Introducing a Pattern Based Knowledge Management Approach: The Verbundplan Case
DEXA '03 Proceedings of the 14th International Workshop on Database and Expert Systems Applications
Towards a Maturity Model for Learning Organizations - the Role of Knowledge Management
DEXA '06 Proceedings of the 17th International Conference on Database and Expert Systems Applications
Towards Defining Knowledge Management Success
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
Toward a Theory of Knowledge Reuse: Types of Knowledge Reuse Situations and Factors in Reuse Success
Journal of Management Information Systems
Knowledge Capture in E-Services Development: A Prosperous Marriage?
International Journal of Systems and Service-Oriented Engineering
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Knowledge forms an important asset in modern organizations. In order to gain and sustain competitive advantage knowledge has to be managed. One aspect of this is to use Electronic Knowledge Repositories EKR to enhance knowledge sharing, reuse and learning. The success of an EKR is dependent on the quality of its content. For knowledge to be stored in an EKR, it has to be captured. One crucial part of the capture process is to evaluate whether the identified knowledge should be incorporated in the EKR or not. Therefore, to increase quality in an EKR, the evaluation stage of the capture process must be successfully carried out. Based on an interpretive field study and an extensive literature review, this paper identifies and characterizes Critical Success Factors CSF in the evaluation stage and presents guidance aiming to support implementation of the evaluation stage with the purpose to increase the quality of an EKR. In particular, the guidance supports the decision whether identified knowledge should be stored or not and it highlights the importance of performing evaluation addressing correctness, relevance, protection and redundancy. The characterization of the capture process contributes mainly to KM theory, and the guidance to KM practice.