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AuthorAl-Fadhli, Muna
AuthorAl-Maadeed, Somaya
AuthorOnat, Nuri C.
AuthorAbdessadok, Abdelhamid
Available date2024-09-08T05:09:48Z
Publication Date2023
Publication Name2023 International Symposium on Networks, Computers and Communications, ISNCC 2023
ResourceScopus
URIhttp://dx.doi.org/10.1109/ISNCC58260.2023.10323885
URIhttp://hdl.handle.net/10576/58608
AbstractGovernments around the world are increasingly using digital transformation to improve their services and operations. Digital maturity assessment models however are mainly designed for business organizations, and there are significant differences between private and government sectors, which means that such models may not be effective in the government context. This paper reevaluates the factors for assessing digital transformation maturity from the perspective of government institutes, integrating factors selected from maturity assessment models of recognized consultancy firms and leveraging insights from Subject Matter Experts (SMEs) in government organizations to prove their viability for government sector. A comprehensive set of assessment factors relevant to digital transformation maturity are systematically identified and subjected to evaluation by the SMEs, to reconsider their weights accordingly taking into account experiences and practical considerations unique to government institutes to enhance its relevance and applicability in real-context settings. The resulting Digital Transformation Maturity Assessment factors serve as a valuable tool for government organizations to guide strategic initiatives towards the successful implementation of digital transformation initiatives.
SponsorACKNOWLEDGMENT This research work was made possible by research grant support (IRCC-2023-223) from Qatar University Research Fund in Qatar.
Languageen
PublisherIEEE
SubjectDigital Transformation
Factors Importance
Maturity Level
TitleA Data-Driven Approach to Assessing Digital Transformation Maturity Factors in Government Institutes
TypeConference
dc.accessType Full Text


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