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dc.contributor.authorHustad, Eli
dc.contributor.authorStensholt, Johan
dc.date.accessioned2024-02-08T14:36:51Z
dc.date.available2024-02-08T14:36:51Z
dc.date.created2023-02-01T13:16:38Z
dc.date.issued2023
dc.identifier.citationHustad, E. & Stensholt, J. (2023). Customizing ERP-systems: A framework to support the decision-making process. Procedia Computer Science, 219, 789-796.en_US
dc.identifier.issn1877-0509
dc.identifier.urihttps://hdl.handle.net/11250/3116440
dc.description.abstractEnterprise Resource Planning (ERP) systems are standardized software packages based on industry “best practice.” Despite this off-the-shelf property, most companies that implement an ERP system choose to customize the software rather than change their business processes. Customization, however, represents a double-edged sword: on the one hand, it can provide improved functionality, increased user quality and satisfied users; on the other hand, it can bring significant risks to the company due to increased implementation costs, increased complexity, and expenses for subsequent upgrades. Interviews were conducted with ERP experts, and empirical findings contain different drivers and consequences for enterprises that choose to customize ERP systems and highlights related challenges. The purpose of the study is to develop a framework with accompanying guidelines that can help companies, in cooperation with suppliers and consultants, to better handle customization decisions in ERP projects.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleCustomizing ERP-systems: A framework to support the decision-making processen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2023 The Author(s)en_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420en_US
dc.source.pagenumber789-796en_US
dc.source.volume219en_US
dc.source.journalProcedia Computer Scienceen_US
dc.identifier.doihttps://doi.org/10.1016/j.procs.2023.01.352
dc.identifier.cristin2121761
dc.description.localcodePaid open accessen_US
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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