Knowledge Management Case-Toolkit for the support of ERP modelling and optimal adaptation procedure

Karnezis, K; Ergazakis, K; Metaxiotis, K; Askounis, D; Psarras, J

dc.contributor.author	Karnezis, K	en
dc.contributor.author	Ergazakis, K	en
dc.contributor.author	Metaxiotis, K	en
dc.contributor.author	Askounis, D	en
dc.contributor.author	Psarras, J	en
dc.date.accessioned	2014-03-01T01:52:58Z
dc.date.available	2014-03-01T01:52:58Z
dc.date.issued	2003	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/26810
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-35848959531&partnerID=40&md5=8d02f20cf0a77c32b60f45dc5f9260ca	en
dc.title	Knowledge Management Case-Toolkit for the support of ERP modelling and optimal adaptation procedure	en
heal.type	journalArticle	en
heal.publicationDate	2003	en
heal.abstract	One of the most difficult works in the world of ERP systems is proven to be their installation and customization to fulfil the needs of the customer. With the great development of Knowledge Management in the last decade a new era has begun; the era of capturing, storing and managing effectively ERP Consultants' knowledge in order to rapidly build customized enterprise systems, which in other times would take months to model and develop. This paper presents such a case, where IT and Knowledge Management power are used in order to surpass the difficulties of this ERP field. The authors describe an advanced generic Case-Toolkit, which is able to support the complicated process of Modelling and optimal adaptation (MOA) of an ERP system to the needs of an enterprise. This tool-kit aims to be used by the ERP consultants in two ways. The first is to analyse, categorise and store the business processes and the second is to use the business processes that are created for presale reasons. © Springer-Verlag Berlin Heidelberg 2002.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.volume	2569	en
dc.identifier.spage	62	en
dc.identifier.epage	74	en