Digital transformation in the defense industry: A maturity model combining SF-AHP and SF-TODIM approaches

dc.authorscopusid56534241200en_US
dc.authorscopusid56534304200en_US
dc.authorscopusid55330793300en_US
dc.authorwosidAAG-4960-2021en_US
dc.authorwosidEJR-0120-2022en_US
dc.authorwosidAAG-5110-2019en_US
dc.contributor.authorNebati, Emine Elif
dc.contributor.authorAyvaz, Berk
dc.contributor.authorKuşakçı, Ali Osman
dc.contributor.authorNebati, Emine Elif
dc.date.accessioned2024-04-21T10:47:44Z
dc.date.available2024-04-21T10:47:44Z
dc.date.issued2023en_US
dc.departmentMühendislik ve Doğa Bilimleri Fakültesien_US
dc.description.abstractAs an inevitable process, digitalization has become a priority for many companies. The measurement of digital maturity is the first step toward adequately executing this. Although digital maturity models (DMM) have been developed for different sectors in the literature, such studies in the defense industry are lacking due to sector-specific dynamics. This study aims to close this gap and proposes a digital maturity model specific to the defense industry. In this study, a novel model was developed that combines the SF-AHP and SF-TODIM methods due to the uncertainty and hesitancy contained in the evaluation. The validity of the presented novel model has been demonstrated in a prominent defense company in Turkey. According to the results, the most notable digital maturity dimensions are the evaluation of opportunities and alignment with stakeholders. In addition, the model indicates that the company owns the required soft skills, such as leadership, organizational culture, and strategic determination for digital transformation (DT). On the other hand, essential hard skills such as technology and operational competencies are yet to be improved. Lastly, sensitivity and comparison analyses are conducted to validate and verify the obtained results’ stability and robustness.en_US
dc.identifier.citationNebati, E. E., Ayvaz, B., & Kusakci, A. O. (2023). Digital transformation in the defense industry: A maturity model combining SF-AHP and SF-TODIM approaches. Applied Soft Computing, 132, 109896.en_US
dc.identifier.doi10.1016/j.asoc.2022.109896
dc.identifier.issn1568-4946
dc.identifier.issn1872-9681
dc.identifier.orcidEmine Elif Nebati |0000-0002-3950-4279en_US
dc.identifier.orcidBerk Ayvaz |0000-0002-8098-3611en_US
dc.identifier.orcidAli Osman Kuşakçı |0000-0003-1411-0369en_US
dc.identifier.scopus2-s2.0-85143807291en_US
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.asoc.2022.109896
dc.identifier.urihttps://hdl.handle.net/20.500.12436/5912
dc.identifier.volume132en_US
dc.identifier.wosWOS:000903994700003en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorNebati, Emine Elif
dc.language.isoen
dc.publisherElsevier Ltden_US
dc.relation.ispartofApplied Soft Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAHPen_US
dc.subjectDefense industryen_US
dc.subjectDigital maturity modelen_US
dc.subjectSpherical fuzzy setsen_US
dc.subjectTODIMen_US
dc.titleDigital transformation in the defense industry: A maturity model combining SF-AHP and SF-TODIM approachesen_US
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublicationc0f5a1bd-2fff-4191-91f3-166e1851a4a6
relation.isAuthorOfPublication.latestForDiscoveryc0f5a1bd-2fff-4191-91f3-166e1851a4a6

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