- Title
- Estimating knowledge quantity in the e-decisional community
- Creator
- Mancilla-Amaya, Leonardo; Szczerbicki, Edward; Sanin, Cesar
- Relation
- Cybernetics and Systems Vol. 43, Issue 4, p. 276-291
- Publisher Link
- http://dx.doi.org/10.1080/01969722.2012.678207
- Publisher
- Taylor & Francis
- Resource Type
- journal article
- Date
- 2012
- Description
- Organizations plan their projects and activities based on the availability of their assets, which often range from manufactured elements to computer services and infrastructure. In today's economy, a new asset comes into play: knowledge. Knowledge has become the most valuable resource for many organizations, and its proper use often determines the survival of enterprises in a competitive environment. However, determining how much knowledge is accessible is not as simple as counting how many units of a product are in inventory. Measuring knowledge quantity has been the focus of active research recently. This article presents an approach for knowledge quantification that offers a novel way of estimating the depth of an agent's knowledge in an automated way. The knowledge quantity measures described in this article are used in the e-decisional community, an integrated knowledge sharing platform that aims at the creation of markets where knowledge is provided as a service.
- Subject
- decisional DNA; e-decisional community; knowledge quality; knowledge quantity; set of experience knowledge structure; software agents
- Identifier
- http://hdl.handle.net/1959.13/1309082
- Identifier
- uon:21766
- Identifier
- ISSN:0196-9722
- Language
- eng
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