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Identifying the characteristics of successful expert systems: An empirical evaluation

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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 http://hdl.handle.net/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


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