- Title
- Advancing knowledge quality and quantity in knowledge markets
- Creator
- Mancilla-Amaya, Leonardo; Szczerbicki, Edward; Sanín, Cesar
- Relation
- Advances in Knowledge-Based and Intelligent Information and Engineering Systems: Part II p. 1460-1469
- Relation
- Frontiers in Artificial Intelligence and Applications 243
- Publisher Link
- http://dx.doi.org/10.3233/978-1-61499-105-2-1460
- Publisher
- IOS Press
- Resource Type
- book chapter
- Date
- 2012
- Description
- Knowledge sharing practices have evolved from simple document archiving and retrieval, into more complex service-based environments supported by advances in Information Technology. As a result of this trend, market-based mechanisms have been proposed with the objective of fostering knowledge sharing, by setting reward mechanisms and motivate employees to share their know-how at a deeper level. Many of the reward schemes presented in literature consider quality as an attribute that gives value to knowledge, but do not provide details on how to measure it. This paper presents an agent-based market environment that measures quality and quantity in a semi-automatic way and uses these elements to set a value for organizational knowledge. This approach is part of the e-Decisional Community, an integrated knowledge sharing platform that aims at providing Knowledge as a Service (KaaS).
- Subject
- e-decisional community; knowledge market; knowledge quality; knowledge quantity; SOEKS; decisional DNA; KaaS
- Identifier
- http://hdl.handle.net/1959.13/1309124
- Identifier
- uon:21780
- Identifier
- ISBN:9781614991045
- Language
- eng
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