Evaluation criteria to increase information quality in electronic knowledge repositories

• Knowledge forms an important asset in modern organisations. In order to gain and sustain competitive advantage knowledge has to be managed. One aspect of this is to use Electronic Knowledge Repositories (EKRs) in order 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 information quality in an EKR, the evaluation stage of the capture process must be successfully performed. This paper characterizes Critical Success Factors (CSF) for knowledge evaluation and presents six evaluation criteria to guide the evaluation stage in order to increase information quality in EKR:s. In particular we highlight the importance of performing evaluation addressing correctness, relevance, protection and redundancy. 

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

Keyword

Electronic Knowledge Repositories (EKRs)

capture

information quality

Critical Success Factors (CSF)

evaluation criteria

Teknik

Technology

Publication and Content Type

ref (subject category)

kon (subject category)