A picture fuzzy CIMAS-ARTASI model for website performance analysis in human resource management

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dc.authorid0000-0002-1359-0244en_US
dc.authorid0000-0001-9348-0709en_US
dc.authorid0000-0002-4950-9508en_US
dc.authorid0000-0001-5709-3744en_US
dc.authorid0000-0003-2217-6878en_US
dc.authorid0000-0001-8522-1942en_US
dc.contributor.authorKara, Karahan
dc.contributor.authorYalçın, Galip Cihan
dc.contributor.authorKaygısız, Esra Gökçen
dc.contributor.authorSimic, Vladimir
dc.contributor.authorÖrnek, Ali Şahin
dc.contributor.authorPamucar, Dragan
dc.date.accessioned2024-11-21T11:29:32Z
dc.date.available2024-11-21T11:29:32Z
dc.date.issued2024
dc.departmentAÇÜ, Hopa Meslek Yüksekokulu, Yönetim ve Organizasyon Bölümüen_US
dc.description.abstractThe central emphasis of human resource management resides in the precise delineation of job responsibilities, engaging in systematic inquiry to identify well-suited candidates, and discerningly electing the most qualified individual from the pool whose qualifications align with the job description. The selection of a well-suited candidate is dependent on the creation of an appropriate candidate pool. Digital platforms are preferred over traditional approaches to reach human resources. The main objective of this research is to identify the most suitable digital platform for posting job advertisements based on website performance. The multiple-attribute group decision-making approach is adopted in this research, considering both qualitative and quantitative criteria. A decision support system for website selection is developed, where expert importance levels are calculated based on picture fuzzy sets (PFS). The weight levels of criteria are determined using the introduced PFS-based criteria importance assessment (CIMAS) method. The ranking of websites is calculated using the proposed PFS-based alternative ranking technique based on adaptive standardized intervals (ARTASI) method. These methods are hybridized into the PFS-CIMAS-ARTASI model. Additionally, an algorithm for this hybrid model is developed. A case study is conducted to demonstrate the applicability of the PFS-CIMAS-ARTASI hybrid model for website performance calculations. Robustness tests based on various sensitivity analysis scenarios are performed. The research results indicate that PFS-CIMAS-ARTASI is both applicable and robust. Comprehensive managerial implications are presented and elaborated on.
dc.identifier.doi10.1016/j.asoc.2024.111826
dc.identifier.issn1568-4946
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://dx.doi.org/10.1016/j.asoc.2024.111826
dc.identifier.urihttps://hdl.handle.net/11494/4993
dc.identifier.volume162en_US
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.relation.ispartofApplied Soft Computing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectARTASIen_US
dc.subjectCIMASen_US
dc.subjectHuman Resource Managementen_US
dc.subjectPicture Fuzzy Setsen_US
dc.subjectWebsite Performance Analysisen_US
dc.titleA picture fuzzy CIMAS-ARTASI model for website performance analysis in human resource managementen_US
dc.typeArticle

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