https://scidar.kg.ac.rs/handle/123456789/8210 Thu, 12 Mar 2026 04:32:11 GMT 2026-03-12T04:32:11Z https://scidar.kg.ac.rs/handle/123456789/23070 Title: Smart prosperity through smart supply chain based on using smart and intelligent technologies Authors: Arsovski, Zora; Arsovski, Slavko; Djordjevic, Aleksandar; Stefanovic, Miladin 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. Thu, 01 Jan 2026 00:00:00 GMT https://scidar.kg.ac.rs/handle/123456789/23070 2026-01-01T00:00:00Z https://scidar.kg.ac.rs/handle/123456789/23069 Title: A new artificial neural network model for prediction of fatigue strength and yield strength of various steel grades Authors: Ivković, Djordje; Arsić, Dušan; Adamovic, Dragan; Sedmak, Aleksandar; Delić, Marko; Vulovic, Radun Editors: Zhang, Zhiliang Thu, 01 Jan 2026 00:00:00 GMT https://scidar.kg.ac.rs/handle/123456789/23069 2026-01-01T00:00:00Z https://scidar.kg.ac.rs/handle/123456789/23068 Title: Smart prosperity through smart supply chain based on using smart and intelligent technologies Authors: Arsovski, Zora; Arsovski, Slavko; Djordjevic, Aleksandar; Stefanovic, Miladin 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. Thu, 01 Jan 2026 00:00:00 GMT https://scidar.kg.ac.rs/handle/123456789/23068 2026-01-01T00:00:00Z https://scidar.kg.ac.rs/handle/123456789/23051 Title: AI-Enabled Workforce Management for Hybrid Workplaces Authors: Mehra, Preeti; Olga, Ergunova; Agrawal, Dr. Shyam Sunder; kansra, pooja; Stefanovic, Miladin Thu, 01 Jan 2026 00:00:00 GMT https://scidar.kg.ac.rs/handle/123456789/23051 2026-01-01T00:00:00Z