A new integrated rough multi-criteria decision-making model for enterprise resource planning software selection

dc.citation.epage25
dc.citation.spage1
dc.contributor.authorCao, Bing
dc.contributor.authorJin, Yongsheng
dc.contributor.authorUlutas, Alptekin
dc.contributor.authorTopal, Ayse
dc.contributor.authorStević, Željko
dc.contributor.authorKarabasevic, Darjan
dc.contributor.authorSava, Cipriana
dc.date.accessioned2024-11-11T13:22:07Z
dc.date.available2024-11-11T13:22:07Z
dc.date.issued2024
dc.description.abstractEnterprise resource planning (ERP) is widely used to boost the total market power of businesses. The wrong selection is one of the key reasons why ERP installations fail. Due to the complexity of the business environment and the range of ERP systems, choosing an ERP system is a complex and time-consuming procedure. ERP alternatives may be assessed using several criteria, so the ERP selection process may be considered a multicriteria decision-making (MCDM) problem. In this study, the rough best worst method (BWM) was used to determine criteria weights, while the newly developed rough integrated simple weighted sum product (WISP) was used to rank ERP alternatives. Results suggest that the SFT-4 coded software is regarded as the best option, followed by SFT-5, SFT-6, SFT-2, SFT-3, and SFT-1. Results of the newly developed rough WISP method are compared to those of existing rough techniques in the sensitivity analysis. The differences between them have been found to be negligible. The outcomes show how effectively developed roughBWMand WISP integrated method performs in terms of ERP selection with usability, accuracy, ease of use, and consistency. This study will help decision-makers in a context where ERP is implemented choose the best ERP software for different sectors.
dc.identifier.doi10.7717/peerj-cs.2096
dc.identifier.urihttps://vaseljena.ues.rs.ba/handle/123456789/1273
dc.language.isoen
dc.publisherPeerJ Inc.
dc.sourcePeerJ Computer Science
dc.subjectERP selection, Novel rough WISP, MCDM, Rough BWM
dc.titleA new integrated rough multi-criteria decision-making model for enterprise resource planning software selection
dc.typeArticle
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