Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/23068
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dc.contributor.authorArsovski, Zora-
dc.contributor.authorArsovski, Slavko-
dc.contributor.authorDjordjevic, Aleksandar-
dc.contributor.authorStefanovic, Miladin-
dc.date.accessioned2026-03-03T09:04:16Z-
dc.date.available2026-03-03T09:04:16Z-
dc.date.issued2026-
dc.identifier.issn1751-7575en_US
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/23068-
dc.description.abstractThis study aims to examine how SIT, with a focus on Information and Communication Technologies (ICT) and Artificial Intelligence (AI), contributes to Smart Prosperity (SP) in emerging economies. The model integrates data collected using the Nominal Group Technique (NGT), supported by statistical analysis, Artificial Neural Networks (ANN), and the SP Model (SPM). It incorporates 12 variables related to Industry 4.0/5.0 concepts, including Smart Supply Chain Resilience (SSCR), Smart and Intelligent Chain Agility (SASCA), and Smart and Intelligent Prosperity (SIP). The results highlight the potential of SIT to enable resilient, agile, and prosperous supply chains, thereby supporting the broader development of Smart Society within the framework of Society 5.0.en_US
dc.language.isoenen_US
dc.publisherTylor & Francisen_US
dc.subjectSmart and intelligent technologiesen_US
dc.subjectsmart prosperityen_US
dc.subjectsmart supply chainen_US
dc.subjectstatistical methodsen_US
dc.subjectsmart sustainabilityen_US
dc.subjectartificial neural networksen_US
dc.titleSmart prosperity through smart supply chain based on using smart and intelligent technologiesen_US
dc.typearticleen_US
dc.description.versionPublisheden_US
dc.identifier.doi10.1080/17517575.2026.2628647en_US
dc.type.versionPublishedVersionen_US
Appears in Collections:Faculty of Engineering, Kragujevac

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