A digital-driven operations management framework with risk assessment and cyber security employing an integrated fuzzy decision-making
Computers and Security, cilt.169, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 169
- Basım Tarihi: 2026
- Doi Numarası: 10.1016/j.cose.2026.104985
- Dergi Adı: Computers and Security
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, ABI/INFORM, Aerospace Database, Applied Science & Technology Source, Compendex, Criminal Justice Abstracts, INSPEC, Criminal Justice Periodical Index, Social Science Premium Collection (ProQuest), Business Source Ultimate (EBSCO), Criminology Collection (ProQuest), Technology Collection (ProQuest)
- Anahtar Kelimeler: Cyber security, Digitization, Fuzzy decision-making, Optimization, Risk, Sustainability
- Ondokuz Mayıs Üniversitesi Adresli: Evet
Özet
A digital-driven operations management provides valuable insights into implementing effective policies for societies and includes digital government and e-government strategies when addressing potential risks, cyber attacks, economic instabilities, and promoting sustainability. Moreover, a decision-making process may contribute to analyzing the potential advantages and disadvantages of management activities. Based on this awareness, this paper develops an integrated fuzzy framework to evaluate operations management of countries, encompassing smart government, artificial intelligence (AI) technology, data and infrastructure, cyber security, sustainability, social, risks, and economic pillars. To the best of our knowledge, the specified pillars and developed fuzzy framework have not been adequately addressed in the literature. The spherical fuzzy sets-based analytical hierarchy process (SFSAHP), a part of the integrated procedure, is proposed to obtain weights of the determined pillars when introducing a novel aggregated operator. Risk, AI technology, smart governments, data and infrastructure, and cyber security are the top five pillars, respectively. Then, efficient countries are identified using a fuzzy-based weighted data envelopment analysis. For this purpose, an optimization model is proposed to minimize the fuzzy weighted non-radial slacks-based measure. Next, the VIekriterijumsko KOmpromisno Rangiranje (VIKOR) procedure is introduced to rank the efficient alternatives when using the weights of the pillars from the SFSAHP technique. Based on the results, Norway, Singapore, the United Kingdom (UK), Denmark, and Canada are the top five countries when evaluating digital-driven operations management. Moreover, managerial and theoretical recommendations are provided to develop policies for AI techonologies, digital transformation, cyber security, risk assessment, and sustainability.