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Št. zadetkov: 6
Managerial early warning system and decision making model in contex of industry 4.0
Tine Bertoncel, Maja Meško
Doktorska disertacija
Oznake: industry 4.0;smart manufactoring;managerial early warning system;decision making;data mining;artifical intelligence;cyberphysical system;
Leto: 2020 Vir: Fakulteta za management (UP FM)
Digitalna transformacija
Polonca Beravs, Tine Bertoncel
Diplomsko delo
Oznake: digitalna transformacija;digitalna strategija;sistematični pregled literature;
Leto: 2024 Vir: Fakulteta za management (UP FM)
Psychosocial factors in the development of low back pain among professional drivers
Friderika Kresal, Tine Bertoncel, Maja Meško
Izvirni znanstveni članek
Oznake: low back pain;psychosocial factors;professional drivers;prevention;Slovenia;
Background and purpose: Professional drivers as a group are exposed to high risk of developing low back pain due to ergonomic factors and work conditions. The purpose of the study was to examine to what extent the low back pain occurs among Slovene professional drivers as a result of the development ...
Leto: 2017 Vir: Fakulteta za management (UP FM)
Future job profile at smart factories
Andrej Jerman, Tine Bertoncel, Ivan Erenda, Anita Trnavčevič
Izvirni znanstveni članek
Oznake: Industry 4.0;smart factory;job profiles;
Leto: 2018 Vir: Repozitorij Univerze na Primorskem (RUP)
Correlation of trust and work engagement
Ana Nešić, Slavica Mitrović Veljković, Maja Meško, Tine Bertoncel
Izvirni znanstveni članek
Oznake: work engagement;trust;organization;HWI concept;employees;Serbia;
In modern organizations, in which changes are happening faster and more unpredictably, employees are gaining a more complex role and increasing importance. New approaches to employee insight, based on the heavy work investment concept (HWI), bring together different theoretical and practical approac ...
Leto: 2020 Vir: Fakulteta za organizacijske vede (UM FOV)
Big data usage in European Countries
Mirjana Pejić Bach, Tine Bertoncel, Maja Meško, Daila Suša-Vugec, Lucija Ivančić
Izvirni znanstveni članek
Oznake: big data; cluster analysis; digital divide; k-means; enterprise; industry; Europe; quality;cluster analysis;digital divide;k-means;enterprise;industry;Europe;quality;
The goal of this research was to investigate the level of digital divide among selected European countries according to the big data usage among their enterprises. For that purpose, we apply the K-means clustering methodology on the Eurostat data about the big data usage in European enterprises. The ...
Leto: 2020 Vir: Fakulteta za organizacijske vede (UM FOV)
Št. zadetkov: 6
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