Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/58110
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dc.contributor.authorÖztaş, Tayfun-
dc.date.accessioned2024-10-20T16:21:41Z-
dc.date.available2024-10-20T16:21:41Z-
dc.date.issued2024-
dc.identifier.issn1308-2922-
dc.identifier.urihttps://doi.org/10.30794/pausbed.1398830-
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1264595-
dc.identifier.urihttps://hdl.handle.net/11499/58110-
dc.description.abstractIn the process of transitioning to digital businesses, managers are faced with numerous decision-making challenges across various domains. This complexity poses a significant hurdle for traditional businesses seeking to embrace digital transformation. To address this challenge, the Preference Selection Index (PSI) and Additive Ratio Assessment (ARAS) methods are utilized for selecting Big Data Analytics (BDA) software, employing multi-criteria decision-making (MCDM) approaches. With a scenario involving 8 alternatives and 7 criteria, the PSI method is employed to establish the weights of the criteria. Subsequently, the ARAS method is utilized to rank the alternatives. The analysis identifies \"Ease of Use\" as the criterion with the highest importance weight (0.1464), while \"Data Workflow\" emerges as the least significant criterion (0.1378). Based on the highest utility degree (0.9548), the fifth alternative was identified as the most suitable big data analytics software for this scenario. Furthermore, the proposed method's applicability is validated through comparative analysis with five different MCDM methods, reinforcing the reliability of the obtained results.en_US
dc.language.isoenen_US
dc.relation.ispartofPamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleBig data analytics software selection with multi-criteria decision-making methods for digital transformationen_US
dc.typeArticleen_US
dc.identifier.issue63en_US
dc.identifier.startpage297en_US
dc.identifier.endpage317en_US
dc.departmentPamukkale Universityen_US
dc.identifier.doi10.30794/pausbed.1398830-
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.trdizinid1264595en_US
dc.institutionauthorÖztaş, Tayfun-
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
crisitem.author.dept08.04. Business Administration-
Appears in Collections:İktisadi ve İdari Bilimler Fakültesi Koleksiyonu
TR Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collection
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