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Aggregation Procedure Based on Majority Principle for Collective Identification of Firm’s Crucial Knowledge

Saad, Inès; Chakhar, Salem (2010), Aggregation Procedure Based on Majority Principle for Collective Identification of Firm’s Crucial Knowledge, in Lytras, Miltiadis D.; Ordonez de Pablos, Patricia; Ziderman, Adrian; Roulstone, Alan; Maurer, Hermann; Imber, Jonathan B., Organizational, Business, and Technological Aspects of the Knowledge Society Third World Summit on the Knowledge Society, WSKS 2010, Corfu, Greece, September 22-24, 2010, Proceedings, Part II, Springer : Berlin, p. 346-352. http://dx.doi.org/10.1007/978-3-642-16324-1_38

Type
Communication / Conférence
External document link
http://eprints.port.ac.uk/id/eprint/13058
Date
2010
Conference title
Organizational, Business, and Technological Aspects of the Knowledge Society Third World Summit on the Knowledge Society, WSKS 2010
Conference date
2010-09
Conference city
Corfou
Conference country
Grèce
Book title
Organizational, Business, and Technological Aspects of the Knowledge Society Third World Summit on the Knowledge Society, WSKS 2010, Corfu, Greece, September 22-24, 2010, Proceedings, Part II
Book author
Lytras, Miltiadis D.; Ordonez de Pablos, Patricia; Ziderman, Adrian; Roulstone, Alan; Maurer, Hermann; Imber, Jonathan B.
Publisher
Springer
Series title
Communications in Computer and Information Science
Series number
112
Published in
Berlin
ISBN
978-3-642-16323-4
Number of pages
539
Pages
346-352
Publication identifier
Metadata
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Author(s)
Saad, Inès
Chakhar, Salem
Abstract (EN)
It is very important to identify, preserve, and transfer knowledge to those who need it within firm. However, the identification of knowledge and especially tacit knowledge is a complex process because knowledge cannot be measured quantitatively. In this paper we present an approach for inducing a set of collective decision rules representing a generalized description of the preferential information of a group of decision makers involved in a multicriteria classification problem to identify crucial knowledge to be capitalized.
Subjects / Keywords
Knowledge management; knowledge identification; DRSA; Aggregation procedure