20.500.12556/DKUM-84805 Decision support concept for improvement of sustainability-related competences In this paper, we derived competences from previously developed competence models, ensuring the effective use of advanced technologies in future factories to improve the sustainability of their business models and strategies. Based on the analysis of the Hogan competence model and competence models for sustainability and leadership, we compiled a selection of competences for digitalisation, automation, robotics, artificial intelligence, and soft competences such as emotional intelligence and cultural literacy. We also included competences required for sustainability, corporate social responsibility, and circular economy. The selected competences formed the core for the conceptual development of a decision support tool for the individualised selection of training for employees. The concept was tested in customised training to improve employees’ skills and motivation for lifelong learning at the selected industrial partner. The developed assessment algorithm was used to monitor the progress of individual employees’ skills development before and after their training participation. The results of the assessment help human resource departments make decisions for selecting the most effective and optimal training for employees to improve their sustainability-related competences. Such a systematic approach can improve and evaluate competences that companies need to transition to a circular economy. circular economy sustainability competence development employee training plan decision support krožno gospodarstvo trajnost razvoj kompetenc načrt usposabljanja zaposlenih podpora pri odločanju true true true Angleški jezik Slovenski jezik Članek v reviji 2023-07-26 10:07:42 2023-07-26 10:07:42 2024-03-01 09:41:10 0000-00-00 00:00:00 2022 0 0 str. 8539-1-8539-21 iss. 14 Vol. 14 2022 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2022-01-01 005.7:681.5 115791875 10.3390/su14148539 2071-1050 RAZ_Abina_Andreja_2022.pdf RAZ_Abina_Andreja_2022.pdf 1 4E8AD1EDAD61A5DA86C5F5A17B013FAF d567b8769ab11954cb1b74cb3eb21c9bef1f42a4d8afb8fa337661643c2b6d7c a051941a-2b8d-11ee-aee8-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=169007 https://www.mdpi.com/2071-1050/14/14/8539 0 b7425c79-2b8d-11ee-aee8-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=169008 Fakulteta za naravoslovje in matematiko 0 0 0