Identifying the characteristics of successful expert systems: An empirical evaluation

Metaxiotis, K; Askounis, DTh; Nikolopoulos, K

dc.contributor.author	Metaxiotis, K	en
dc.contributor.author	Askounis, DTh	en
dc.contributor.author	Nikolopoulos, K	en
dc.date.accessioned	2014-03-01T11:44:42Z
dc.date.available	2014-03-01T11:44:42Z
dc.date.issued	2006	en
dc.identifier.issn	14614111	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/37107
dc.subject	Artificial intelligence	en
dc.subject	Expert systems	en
dc.subject	Information technology	en
dc.subject	Knowledge-based systems	en
dc.subject.other	Computer software selection and evaluation	en
dc.subject.other	Customer satisfaction	en
dc.subject.other	Information technology	en
dc.subject.other	Problem solving	en
dc.subject.other	Productivity	en
dc.subject.other	Quality control	en
dc.subject.other	Societies and institutions	en
dc.subject.other	Hypotheses	en
dc.subject.other	Intelligent solutions	en
dc.subject.other	Research community	en
dc.subject.other	Expert systems	en
dc.title	Identifying the characteristics of successful expert systems: An empirical evaluation	en
heal.type	other	en
heal.identifier.primary	10.1504/IJITM.2006.008711	en
heal.identifier.secondary	http://dx.doi.org/10.1504/IJITM.2006.008711	en
heal.publicationDate	2006	en
heal.abstract	The effective use of Information Technology (IT) to help modern companies improve service quality, financial performance, customer satisfaction and productivity is a very crucial issue nowadays. Intelligent solutions, based on Expert Systems (ES), to solve complicated practical problems in various sectors are becoming more and more widespread. However, the real success of applied expert systems in the improvement of companies' performance is being investigated by the research community. In this framework, the primary objective of this paper is to present what is important for a successful ES application in terms of quality and what kind of mistakes can be made. Our analysis is based on an empirical evaluation of three ES applications that have successfully been in industrial use for a long time and in the development of which we have been personally involved. The key findings are expressed as 14 hypotheses for a successful ES. The support of each application to the hypotheses is discussed. Copyright © 2006 Inderscience Enterprises Ltd.	en
heal.journalName	International Journal of Information Technology and Management	en
dc.identifier.doi	10.1504/IJITM.2006.008711	en
dc.identifier.volume	5	en
dc.identifier.issue	1	en
dc.identifier.spage	21	en
dc.identifier.epage	36	en