1. Upskilling older employees in the artificial intelligence eraTinkara Žabar, Aleksander Janeš, 2025, original scientific article Abstract: Research Question (RQ): What is the effect of new technologies, with an emphasis on artificial intelligence (AI), on the need to upskill older employees (50+ years). Purpose: The purpose of the research was to carry out a systematic literature review of existing research in the field of the effect of AI on the upskilling needs of older employees. Method: We performed a systematic literature review across six academic search engines: ProQuest, Emerald, Sage Journals, Springer, Research Gate, and Google Scholar. Results: Artificial intelligence is significantly transforming the labor market, as it requires constant adaptation to new skills and knowledge. AI has a significant effect on older employees, who are exposed to greater challenges due to a possible lack of digital skills and sensitivity to change. In this context, training and further education are key mechanisms to ensure that skills match the requirements of the work environment and the labor market. Organizations must quickly adapt to changing requirements by creating a culture of lifelong learning that encourages seniors and other employees to improve. Training programs must be based on the specific needs and challenges faced by older employees. Organization: The research emphasizes the importance of training older employees in the age of AI and encourages organizations to create a culture of lifelong learning as part of the organization's strategic directions and goals. Society: The importance of research for society is reflected in the insight into the involvement of all age groups in the possibility of improving knowledge, skills, and attitudes towards the use of modern technologies. Organizations and society itself bear the social responsibility to enable older employees to successfully integrate into the work environment in the AI era. Originality: The research addresses the need to improve the skills of a specific age group in the age of AI, where it simultaneously highlights the importance of fostering a culture of lifelong learning in a rapidly changing world. The research findings provide guidelines for policymaking in the field of training on the national level in the context of an aging workforce and new technologies. Limitations/further research: The literature review was limited to six publicly available databases. In the article, older employees were considered as people in the labor process older than 50 years. We must emphasize that older employees differ from each other in terms of education, economic, social, and other circumstances. Further research should investigate the effect of new technologies regarding the specific circumstances mentioned in this age group.
Keywords: knowledge society, upskilling, knowledge management, retraining, older employees, artificial intelligence, lifelong learning
Published in RUP: 12.01.2026; Views: 84; Downloads: 3
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3. Factors affecting effectiveness of knowledge management : a case of Bosnia and Herzegovina enterprisesMirela Kljajić-Dervić, Roberto Biloslavo, 2015, published scientific conference contribution Abstract: A successful business is a business based on knowledge. In modern economy, successful companies appreciate knowledge and systematically support its creation, sharing and application within business processes. Very often knowledge is the most critical economic resource; it is therefore necessary to effectively direct and lead processes of creation or acquisition, transfer, use and exploitation of knowledge. These processes together form the concept of knowledge management. Through effective knowledge management, organizations can improve their performance and gain a competitive advantage. But first they need to identify critical success factors to develop knowledge managements in organizations. This paper shows and discusses results of the empirical study conducted in Bosnia and Herzegovina. Based on existing research and proposed models, the study outlines six factors (i.e. organizational culture, human capital, management, organizational structure, reward system, information technology), which we believe have a direct impact on the effectiveness of knowledge management. Research data have been collected through a survey. The research sample was composed of 317 companies that employed 10 to 600 employees. Collected data were analyzed by use of the structural equation modelling. This will allow us to propose a model of influential factors for effective knowledge management. Results of the study will help organizations to better understand critical factors influencing the effectiveness of knowledge management.
Keywords: upravljanje znanja, organizacijska kultura, človeški kapital, menedžment, organizacijske strukture, sestem nagrajevanja, informacijska tehnologija, knowledge management, organizational culture, human capital, management, organizational structure, rewarding system, information technology
Published in RUP: 08.08.2016; Views: 5804; Downloads: 40
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4. Relation between knowledge management and turnover in Slovenian micro and small start-up organisationsRiko Novak, Vasja Roblek, Gabrijel Devetak, 2013, original scientific article Abstract: This article discusses the importance of knowledge management and employee turnover, using the example of selected Slovenian organisations, in particular, technology parks. The purpose of this article is to point out statistical characteristics between employee turnover and certain selected independent variables. The empirical research was conducted on a population of 667 Slovenian organisations gathered from the subjects of an innovative environment database, and a further sample of 51 chosen technology parks from the A group. By implementing multivariate regression analysis, we sought to examine whether knowledge requirements and knowledge transfer paths in these organisations have a statistically significant influence on employee turnover. The aim of this article is to present the results of empirical research that defines the development of a conceptual framework for understanding the influence of knowledge management on employee turnover. The results have shown that the importance of intellectual and social capital, intangible capital assets and their continuous measurement must be acknowledged within an organisation.
Keywords: employee turnover, knowledge management, organisations, employees
Published in RUP: 30.12.2015; Views: 5577; Downloads: 136
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