Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/4763
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dc.contributor.authorYel, İ.-
dc.contributor.authorBaysal, M.E.-
dc.contributor.authorSarucan, A.-
dc.date.accessioned2023-11-11T09:03:39Z-
dc.date.available2023-11-11T09:03:39Z-
dc.date.issued2023-
dc.identifier.isbn9783031397769-
dc.identifier.issn2367-3370-
dc.identifier.urihttps://doi.org/10.1007/978-3-031-39777-6_53-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/4763-
dc.descriptionIntelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference -- 22 August 2023 through 24 August 2023 -- -- 299549en_US
dc.description.abstractIn today's world, where many people use the outputs of the Information Technologies (IT) industry, it has become a problem for large-scale organizations to compare their IT departments objectively. The use of fuzzy MCDM methods for such a multidimensional problem is evaluated within the scope of this study. As a first step, twenty KPIs were determined by literature review and expert opinion to evaluate organizational units. Subsequently, KPI selection criteria were defined based on the opinions of ten expert personnel working in Architecht Information Systems for the selection of the most appropriate KPIs. These criteria are weighted by the fuzzy AHP method. Eight of the KPIs over the Neutrosophic Z Number (NZN) sets were selected for comparison by the same experts. Four different organizations were ranked by scoring over eight KPIs. It has been confirmed that the results of objective evaluations, instead of subjective evaluations, are more embraced by employees and managers, according to the outputs of the common sense and the infrastructural suitability of the institution. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.en_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofLecture Notes in Networks and Systemsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFuzzy MCDMen_US
dc.subjectIT Organizationsen_US
dc.subjectKPI Selectionen_US
dc.subjectBenchmarkingen_US
dc.subjectInformation systemsen_US
dc.subjectInformation useen_US
dc.subjectExpert opinionen_US
dc.subjectFuzzy MCDMen_US
dc.subjectInformation technology departmentsen_US
dc.subjectInformation technology industryen_US
dc.subjectInformation technology organizationen_US
dc.subjectInformation technology sectoren_US
dc.subjectKPI selectionen_US
dc.subjectLarge-scalesen_US
dc.subjectLiterature reviewsen_US
dc.subjectMultidimensional problemsen_US
dc.subjectHuman resource managementen_US
dc.titleAn Application for Selecting and Evaluating Organization Based KPIs with Fuzzy MCDM in a Large-Scale Organization Operating in the IT Sectoren_US
dc.typeConference Objecten_US
dc.identifier.doi10.1007/978-3-031-39777-6_53-
dc.identifier.scopus2-s2.0-85172726196en_US
dc.departmentKTÜNen_US
dc.identifier.volume759 LNNSen_US
dc.identifier.startpage445en_US
dc.identifier.endpage453en_US
dc.institutionauthor-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.authorscopusid57210108138-
dc.authorscopusid56007700700-
dc.authorscopusid54405086400-
dc.identifier.scopusqualityQ4-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeConference Object-
crisitem.author.dept02.09. Department of Industrial Engineering-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
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