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https://scidar.kg.ac.rs/handle/123456789/23068Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Arsovski, Zora | - |
| dc.contributor.author | Arsovski, Slavko | - |
| dc.contributor.author | Djordjevic, Aleksandar | - |
| dc.contributor.author | Stefanovic, Miladin | - |
| dc.date.accessioned | 2026-03-03T09:04:16Z | - |
| dc.date.available | 2026-03-03T09:04:16Z | - |
| dc.date.issued | 2026 | - |
| dc.identifier.issn | 1751-7575 | en_US |
| dc.identifier.uri | https://scidar.kg.ac.rs/handle/123456789/23068 | - |
| dc.description.abstract | This 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.iso | en | en_US |
| dc.publisher | Tylor & Francis | en_US |
| dc.subject | Smart and intelligent technologies | en_US |
| dc.subject | smart prosperity | en_US |
| dc.subject | smart supply chain | en_US |
| dc.subject | statistical methods | en_US |
| dc.subject | smart sustainability | en_US |
| dc.subject | artificial neural networks | en_US |
| dc.title | Smart prosperity through smart supply chain based on using smart and intelligent technologies | en_US |
| dc.type | article | en_US |
| dc.description.version | Published | en_US |
| dc.identifier.doi | 10.1080/17517575.2026.2628647 | en_US |
| dc.type.version | PublishedVersion | en_US |
| Appears in Collections: | Faculty of Engineering, Kragujevac | |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| EIS FINAL.pdf | 1.67 MB | Adobe PDF | View/Open |
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