Decision Support Concept for Improvement of Sustainability-Related Competences

Andreja Abina, Tanja Batkovič, Bojan Cestnik, Adem Kikaj, Rebeka Kovačič Lukman, Maja Kurbus and Aleksander Zidanšek
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Andreja Abina: Jožef Stefan International Postgraduate School, Jamova 39, 1000 Ljubljana, Slovenia
Tanja Batkovič: Jožef Stefan International Postgraduate School, Jamova 39, 1000 Ljubljana, Slovenia
Bojan Cestnik: Jožef Stefan International Postgraduate School, Jamova 39, 1000 Ljubljana, Slovenia
Adem Kikaj: Jožef Stefan International Postgraduate School, Jamova 39, 1000 Ljubljana, Slovenia
Rebeka Kovačič Lukman: Faculty of Logistics, University of Maribor, Mariborska c.7, 3000 Celje, Slovenia
Maja Kurbus: Faculty of Social Work, University of Ljubljana, Topniška ulica 31, 1000 Ljubljana, Slovenia
Aleksander Zidanšek: Jožef Stefan International Postgraduate School, Jamova 39, 1000 Ljubljana, Slovenia

Sustainability, 2022, vol. 14, issue 14, 1-21

Abstract: 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.

Keywords: circular economy; sustainability; competence development; employee training plan; decision support (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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