Approach to Classification of Enterprises with the Aim to Assess Results of Introduction of Corporate Information Systems
Poluektova Nataliya R. ()
Additional contact information
Poluektova Nataliya R.: Zaporizhzhya Institute of Economics and Information Technologies
Business Inform, 2013, issue 10, 146_151
Abstract:
The task of this study is detection of new instruments for increase of efficiency of introduction of corporate information systems of ERP class. The article offers an approach to classification of enterprises, which would allow building up models of assessment of results of introduction of corporate information systems depending on original characteristics of an object of automation. It reveals internal and external parameters of organisations, which are influenced by introduction of various modules of the ERP system. It ranks the revealed parameters by the degree of influence upon the general efficiency of introduction of the information system. Possible values are revealed for each parameter, which allows specification of classes of organisations for making selection of the ERP system simpler (supplier, functionality and architecture) and using the built topology during organisation of a new project of introduction.
Keywords: ERP; classification; corporate information systems; efficiency (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.business-inform.net/pdf/2013/10_0/146_151.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:idp:bizinf:y:2013:i:10:p:146_151
Access Statistics for this article
Business Inform is currently edited by Ponomarenko Vladimir S.
More articles in Business Inform from RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE), Kharkiv National University of Economics
Bibliographic data for series maintained by Khaustova Viktoriia ().