| Abstract [eng] |
Continuous changes in the labour market, the rapid obsolescence of knowledge, and the advancement of technological innovations increase the need for organisations to develop employees’ competencies in a systematic, coherent, and future-oriented manner. In contemporary organisations, competency development is increasingly perceived not as an episodic activity but as a continuous process integrated into everyday practice and closely aligned with organisational strategy and performance effectiveness. Advanced learning systems that integrate artificial intelligence solutions enable the personalisation of learning, real-time assessment of progress, and a faster response to changing competency requirements. Despite the growing technological potential, academic research in this field remains fragmented, with limited empirical evidence demonstrating how AI assistants can be purposefully and responsibly integrated into organisational competency development systems. Therefore, this topic remains highly relevant both academically and practically. The object of the work – the application of artificial intelligence in organisational competency development systems. The aim of the work – to develop and empirically evaluate a model for the creation and improvement of an advanced learning system within an organisation, applying artificial intelligence assistant functionalities in competency development programmes. Reasearch results: Based on the analysis of scientific literature and the conducted empirical study, it was determined that the effectiveness of artificial intelligence application in competency development systems depends on clearly defined competencies, established evaluation criteria, systematic data collection, and clearly assigned responsibilities within the organisation. The findings indicate that artificial intelligence is more commonly perceived as a supportive tool that strengthens existing development processes rather than as an autonomous driver of systemic maturity. Drawing on the empirical insights, an improved competency development system model was proposed, emphasising the importance of phased AI integration, the role of human involvement in decision-making, and continuous feedback mechanisms. Additionally, practical recommendations were formulated for organisations seeking to integrate artificial intelligence assistants into advanced learning systems in a structured and evidence-based manner. |
