Big data analytics capabilities and firm performance: An integrated MCDM approach

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dc.authorid0000-0002-9119-3252
dc.contributor.authorYasmin, Mariam
dc.contributor.authorKılıç, Hüseyin Selçuk
dc.contributor.authorTatoğlu, Ekrem
dc.contributor.authorZaim, Selim
dc.contributor.authorDelen, Dursun
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.date.accessioned2020-04-20T07:18:20Z
dc.date.available2020-04-20T07:18:20Z
dc.date.issued2020
dc.departmentİHÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü
dc.description.abstractThis study explores the interdependence of big data analytics (BDA) capabilities and the impact of these capabilities on firm performance using an integrated multicriteria decision-making (MCDM) methodology. Drawing on a rich data set obtained from selected case study firms in Pakistan, three MCDM tools, namely, intuitionistic fuzzy decision-making trial and evolution laboratory (IF-DEMATEL), analytic network process (ANP), and simple additive weighting (SAW), are employed to assess the relative importance of BDA capabilities and the relationship of these capabilities with the firm performance. The results show that BDA capabilities are interdependent, and infrastructure capabilities are the highest-ranked among all, followed by management and human resource capabilities, respectively. The SAW results indicate an association between BDA capabilities and firm performance. Moreover, BDA capabilities are more strongly related to operational performance than to market performance.
dc.description.abstractThis study explores the interdependence of big data analytics (BDA) capabilities and the impact of these capabilities on firm performance using an integrated multicriteria decision-making (MCDM) methodology. Drawing on a rich data set obtained from selected case study firms in Pakistan, three MCDM tools, namely, intuitionistic fuzzy decision-making trial and evolution laboratory (IF-DEMATEL), analytic network process (ANP), and simple additive weighting (SAW), are employed to assess the relative importance of BDA capabilities and the relationship of these capabilities with the firm performance. The results show that BDA capabilities are interdependent, and infrastructure capabilities are the highest-ranked among all, followed by management and human resource capabilities, respectively. The SAW results indicate an association between BDA capabilities and firm performance. Moreover, BDA capabilities are more strongly related to operational performance than to market performance.
dc.identifier.citationYasmin, M., Tatoğlu, E., Kılıç, H. S., Zaim, S., ve Delen, D. (2020). Big data analytics capabilities and firm performance: An integrated MCDM approach. Journal of Business Research, 114, 1-15.
dc.identifier.doi10.1016/j.jbusres.2020.03.028
dc.identifier.endpage15
dc.identifier.issn0148-2963
dc.identifier.scopus2-s2.0-85082814661
dc.identifier.scopusqualityQ1
dc.identifier.startpage1
dc.identifier.urihttps://doi.org/10.1016/j.jbusres.2020.03.028
dc.identifier.urihttps://hdl.handle.net/20.500.12154/1095
dc.identifier.volume114
dc.identifier.wosWOS:000532827900001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.institutionauthorYasmin, Mariam
dc.institutionauthorTatoğlu, Ekrem
dc.institutionauthorid0000-0002-9119-3252
dc.language.isoen
dc.publisherElsevier
dc.relation.ihupublicationcategory114
dc.relation.ispartofJournal of Business Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.relation.publicationcategoryÖğrenci
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectBig Data Analytics
dc.subjectBig Data Analytics
dc.subjectResource-based View
dc.subjectResource-based View
dc.subjectDynamic Capabilities
dc.subjectDynamic Capabilities
dc.subjectMulti-criteria Decision-making
dc.subjectMulti-criteria Decision-making
dc.subjectFirm Performance
dc.subjectFirm Performance
dc.subjectEmerging Markets
dc.subjectEmerging Markets
dc.titleBig data analytics capabilities and firm performance: An integrated MCDM approach
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublication29f46236-65bf-4da8-b2be-b9826daecb5e
relation.isAuthorOfPublicatione854a5d5-11a9-4148-a1aa-863a4c13eeb5
relation.isAuthorOfPublicationde384c43-bcde-4ccb-a0b7-39ead0e59bd0
relation.isAuthorOfPublication.latestForDiscovery29f46236-65bf-4da8-b2be-b9826daecb5e
relation.isOrgUnitOfPublicationc9253b76-6094-4836-ac99-2fcd5392d68f
relation.isOrgUnitOfPublication.latestForDiscoveryc9253b76-6094-4836-ac99-2fcd5392d68f

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