The dynamics of modern economic, social, and technological conditions place the framework of a
new industrial model in the paradigm of Industry 5.0. This paradigm is related to advanced digitization, big
data, and artificial intelligence, while highlighting the role that technology plays in addressing the new demands
of the environment. As a result, it is the acquisition and development of competencies that become the basis for
adapting the individual to changes that are wide-ranging, profound, and permanent. Changes at different levels,
which are also linked, also mean that skills need to be constantly improved and developed to meet the needs and
expectations of technology, the economy, and society. The management of enterprises in the raw materials
industry should focus on what they offer as benefits and positive effects for the external environment and
stakeholders and be able to show and communicate it to the public. This can be done through changes in
management strategies and models, providing the necessary resources, and developing entrepreneurial and green
competences at all hierarchical levels. The goal of this study is to create a green business model that works for
the raw materials industry. This model should include both entrepreneurial and green skills so that the move to
Industry 5.0 and the green economy is easier and faster. The analysis of this model yields guidelines for its
practical implementation. The results show that one of the most important components of the developed green
business model in the Industry 5.0 paradigm remains people and their competencies. Because of this, their
education and training, as well as their growth as knowledgeable people and leaders, along with the steady
development of their unique skills and abilities, are the most important factors that determine how well they can
handle different kinds of changes and crises.
Primary Language | English |
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Subjects | Environmental and Sustainable Processes |
Journal Section | Articles |
Authors | |
Early Pub Date | August 1, 2025 |
Publication Date | August 1, 2025 |
Submission Date | January 30, 2025 |
Acceptance Date | March 13, 2025 |
Published in Issue | Year 2025 Volume: 34 |