A functional taxonomy of computer-based information systems

Mentzas, G

dc.contributor.author	Mentzas, G	en
dc.date.accessioned	2014-03-01T01:09:39Z
dc.date.available	2014-03-01T01:09:39Z
dc.date.issued	1994	en
dc.identifier.issn	0268-4012	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/11125
dc.subject	Database Management	en
dc.subject	Information System	en
dc.subject	Knowledge Management	en
dc.subject	Management Information System	en
dc.subject	Model Management	en
dc.subject	Decision Support	en
dc.subject	Decision Support System	en
dc.subject	Expert System	en
dc.subject.classification	Information Science & Library Science	en
dc.subject.other	DECISION-SUPPORT SYSTEMS	en
dc.subject.other	EXPERT SYSTEMS	en
dc.subject.other	MANAGEMENT	en
dc.subject.other	WORK	en
dc.title	A functional taxonomy of computer-based information systems	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/0268-4012(94)90015-9	en
heal.identifier.secondary	http://dx.doi.org/10.1016/0268-4012(94)90015-9	en
heal.language	English	en
heal.publicationDate	1994	en
heal.abstract	The increased use of computing facilities and the application of concepts and theories from a wealth of different disciplines have resulted in the development of different types of computer based information systems (CBIS) with distinct functional characteristics. The reviews and classifications of CBIS found in the literature usually focus on one of these types and also on classes of applications. There is a need for a broad classification with a focus on the functional characteristics for CBIS that consider issues of organizational support and representation of business-related processes. The present paper attempts to provide the basic framework for such a functional taxonomy by classifying CBIS on three distinct process elements: information process support; decision process support; and communication process support. The aim is greater precision in systems categorization and to enhance the usefulness of CBIS research by reducing ambiguity in the attribution of research results. Ten different types of CBIS are examined and classified. The constituent elements of these CBIS types are also analysed. © 1994 Butterworth-Heincmann Ltd.	en
heal.publisher	BUTTERWORTH-HEINEMANN LTD	en
heal.journalName	International Journal of Information Management	en
dc.identifier.doi	10.1016/0268-4012(94)90015-9	en
dc.identifier.isi	ISI:A1994PX83400002	en
dc.identifier.volume	14	en
dc.identifier.issue	6	en
dc.identifier.spage	397	en
dc.identifier.epage	410	en