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Decision Support Concept for Improvement of Sustainability-Related Competences

Author

Listed:
  • Andreja Abina

    (Jožef Stefan International Postgraduate School, Jamova 39, 1000 Ljubljana, Slovenia)

  • Tanja Batkovič

    (Jožef Stefan International Postgraduate School, Jamova 39, 1000 Ljubljana, Slovenia
    Chamber of Commerce, Dimičeva 13, 1000 Ljubljana, Slovenia
    Student at the faculty at the time of performing this research.)

  • Bojan Cestnik

    (Jožef Stefan International Postgraduate School, Jamova 39, 1000 Ljubljana, Slovenia
    Temida d.o.o., Dunajska cesta 51, 1000 Ljubljana, Slovenia
    Department of Knowledge Technologies, Jožef Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia)

  • Adem Kikaj

    (Jožef Stefan International Postgraduate School, Jamova 39, 1000 Ljubljana, Slovenia
    Department of Knowledge Technologies, Jožef Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia
    Student at the faculty at the time of performing this research.)

  • Rebeka Kovačič Lukman

    (Faculty of Logistics, University of Maribor, Mariborska c.7, 3000 Celje, Slovenia
    Faculty of Natural Sciences and Mathematics, University of Maribor, 2000 Maribor, Slovenia)

  • Maja Kurbus

    (Faculty of Social Work, University of Ljubljana, Topniška ulica 31, 1000 Ljubljana, Slovenia
    Student at the faculty at the time of performing this research.)

  • Aleksander Zidanšek

    (Jožef Stefan International Postgraduate School, Jamova 39, 1000 Ljubljana, Slovenia
    Faculty of Natural Sciences and Mathematics, University of Maribor, 2000 Maribor, Slovenia
    Condensed Matter Physics Department, Jožef Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia)

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.

Suggested Citation

  • Andreja Abina & Tanja Batkovič & Bojan Cestnik & Adem Kikaj & Rebeka Kovačič Lukman & Maja Kurbus & Aleksander Zidanšek, 2022. "Decision Support Concept for Improvement of Sustainability-Related Competences," Sustainability, MDPI, vol. 14(14), pages 1-21, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8539-:d:861117
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    References listed on IDEAS

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    6. Jana Dlouhá & Raquel Heras & Ingrid Mulà & Francisca Perez Salgado & Laura Henderson, 2019. "Competences to Address SDGs in Higher Education—A Reflection on the Equilibrium between Systemic and Personal Approaches to Achieve Transformative Action," Sustainability, MDPI, vol. 11(13), pages 1-23, July.
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    Cited by:

    1. Andreja Abina & Bojan Cestnik & Rebeka Kovačič Lukman & Sara Zavernik & Matevž Ogrinc & Aleksander Zidanšek, 2023. "Transformation of the RESPO Decision Support System to Higher Education for Monitoring Sustainability-Related Competencies," Sustainability, MDPI, vol. 15(4), pages 1-18, February.

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