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

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dc.authorid0000-0003-1411-0369
dc.contributor.authorKuşakcı, Ali Osman
dc.contributor.authorKuşakcı, Ali Osman
dc.contributor.authorNebati, Emine Elif
dc.contributor.authorAyvaz, Berk
dc.contributor.authorKuşakcı, Ali Osman
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.date.accessioned2022-12-23T07:49:36Z
dc.date.available2022-12-23T07:49:36Z
dc.date.issued2022
dc.departmentİHÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü
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.
dc.identifier.citationNebati, E. E., Ayvaz, B. ve Kuşakcı, A. O. (2022). Digital transformation in the defense industry: A maturity model combining SF-AHP and SF-TODIM approaches. Applied Soft Computing, 132(2023), 109896. https://doi.org/10.1016/j.asoc.2022.109896.
dc.identifier.doi10.1016/j.asoc.2022.109896.
dc.identifier.issn1568-4946
dc.identifier.scopus2-s2.0-85143807291
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.asoc.2022.109896.
dc.identifier.urihttps://hdl.handle.net/20.500.12154/1949
dc.identifier.volume132
dc.identifier.wosWOS:000903994700003
dc.identifier.wosqualityQ1
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.institutionauthorKuşakcı, Ali Osman
dc.institutionauthorid0000-0003-1411-0369
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofApplied Soft Computing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectAHP
dc.subjectDefense Industry
dc.subjectDigital Maturity Model
dc.subjectSpherical Fuzzy Sets
dc.subjectTODIM
dc.titleDigital transformation in the defense industry: A maturity model combining SF-AHP and SF-TODIM approaches
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublication21653521-557b-4059-b2be-1fb429b3258a
relation.isAuthorOfPublication.latestForDiscovery21653521-557b-4059-b2be-1fb429b3258a
relation.isOrgUnitOfPublicationc9253b76-6094-4836-ac99-2fcd5392d68f
relation.isOrgUnitOfPublication.latestForDiscoveryc9253b76-6094-4836-ac99-2fcd5392d68f

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