Journal
ENTERPRISE INFORMATION SYSTEMS
Volume 7, Issue 3, Pages 375-393Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/17517575.2011.644583
Keywords
word; knowledge evaluation; public and expert collaborative evaluation (PECE); knowledge domain; public evaluation; peer review; Web 2.0
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Funding
- National Natural Science Foundation of PR China [51175463, 60974083, 71132007, 70962008]
- Natural Science Foundation of Zhejiang Province of PR China [Y1110414]
- Tech Support Program of Jiangxi Province of PR China [2009BGB03100]
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Knowledge is becoming the most important resource for more and more enterprises and increases exponentially, but there is not an effective method to evaluate them cogently. Based on Web2.0, this article firstly builds an enterprise knowledge sharing model. Synthetically taking the advantage of the convenience and low cost in public evaluation and of the specialty in peer review, a public and expert collaborative evaluation (PECE) model and algorithm for enterprise knowledge are put forward. Through analyzing interaction between user's domain weights and scores of knowledge points, the PECE model and algorithm serve to recognise valuable knowledge and domain experts efficiently and therefore improve ordering and utilisation of knowledge. This article also studies malicious and casual evaluation from users and a method is proposed to update user's domain weights. Finally, a case of knowledge sharing system for amanufacturing enterprise is developed and realised. User's behaviour of publishing and evaluating knowledge is simulated and then analysed to verify the feasibility of PECE algorithm based on the system.
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