Abstract
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.
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Saad, I., Chakhar, S. (2010). Aggregation Procedure Based on Majority Principle for Collective Identification of Firm’s Crucial Knowledge. In: Lytras, M.D., Ordonez de Pablos, P., Ziderman, A., Roulstone, A., Maurer, H., Imber, J.B. (eds) Organizational, Business, and Technological Aspects of the Knowledge Society. WSKS 2010. Communications in Computer and Information Science, vol 112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16324-1_38
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DOI: https://doi.org/10.1007/978-3-642-16324-1_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16323-4
Online ISBN: 978-3-642-16324-1
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