Decision support through knowledge management: The role of the artificial intelligence

Metaxiotis, K; Ergazakis, K; Samouilidis, E; Psarras, J

dc.contributor.author	Metaxiotis, K	en
dc.contributor.author	Ergazakis, K	en
dc.contributor.author	Samouilidis, E	en
dc.contributor.author	Psarras, J	en
dc.date.accessioned	2014-03-01T01:20:05Z
dc.date.available	2014-03-01T01:20:05Z
dc.date.issued	2004	en
dc.identifier.issn	09528091	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15838
dc.subject	Artificial intelligence	en
dc.subject	Decision support	en
dc.subject	Knowledge management	en
dc.subject.other	Artificial intelligence	en
dc.subject.other	Decision making	en
dc.subject.other	Economics	en
dc.subject.other	Knowledge based systems	en
dc.subject.other	Personnel	en
dc.subject.other	Enterprise systems	en
dc.subject.other	Knowledge management	en
dc.subject.other	Decision support systems	en
dc.title	Decision support through knowledge management: The role of the artificial intelligence	en
heal.type	journalArticle	en
heal.identifier.primary	10.1504/IJCAT.2004.003641	en
heal.identifier.secondary	http://dx.doi.org/10.1504/IJCAT.2004.003641	en
heal.publicationDate	2004	en
heal.abstract	Knowledge management (KM) has recently received considerable attention in the computer information systems community and is continuously gaining interest by industry, enterprises and government. Decision support and KM processes are interdependent activities in many organizations. In all cases, decision makers always combine different types of data and knowledge available in various forms in the organization. One of the key - but also criticized - building blocks for advancing this field of KM and consequently supporting the decision-making is artificial intelligence (AI). In this framework, this paper aims to improve the understanding of the role of AI towards KM. It examines and discusses both the potential and the limitations of basic AI technologies in terms of their capability to support the KM process and shares thoughts and estimations on further research on the development of the next generation decision support environments.	en
heal.journalName	International Journal of Computer Applications in Technology	en
dc.identifier.doi	10.1504/IJCAT.2004.003641	en
dc.identifier.volume	19	en
dc.identifier.issue	2	en
dc.identifier.spage	101	en
dc.identifier.epage	106	en