Search the digital library catalog

Abstract: Background: This article delves into an in-depth analysis of the statistically significant differences in AI support levels for project management between SMEs and large enterprises. The research was conducted based on a comprehensive survey encompassing a sample of 473 SMEs and large Slovenian enterprises. Methods: To validate the observed differences, statistical analysis, specifically the Mann–Whitney U test, was employed. Results: The results confirm the presence of statistically significant differences between SMEs and large enterprises across multiple dimensions of AI support in project management. Large enterprises exhibit on average a higher level of AI adoption across all five AI utilization dimensions. Specifically, large enterprises scored significantly higher (p < 0.05) in AI adopting strategies and in adopting AI technologies for project tasks and team creation. This study’s findings also underscored the significant differences (p < 0.05) between SMEs and large enterprises in their adoption and utilization of AI technologies for project management purposes. While large enterprises scored above 4 for several dimensions, with the highest average score assessed (mean value 4.46 on 1 to 5 scale) for the usage of predictive Analytics Tools to improve the work on the project, SMEs’ average levels, on the other hand, were all below 4. SMEs in particular may lag in incorporating AI into various project activities due to several factors such as resource constraints, limited access to AI expertise, or risk aversion. Conclusions: The results underscore the need for targeted strategies to enhance AI adoption in SMEs and leverage its benefits for successful project implementation and strengthen the company’s competitiveness.
Keywords: enterprises, project management, leadership, artificial intelligence
Published in DKUM: 04.04.2025; Views: 0; Downloads: 6
Full text (1,10 MB)
This document has many files! More...

Abstract: The main purpose of this study was to examine the influence of leaders’ personal values on their democratic behavior from a sustainability perspective. We specified and tested the research model, drawing upon modified versions of the theory of basic values and the autocratic–democratic leadership continuum. A total of 208 Slovenian and 196 Austrian leaders’ responses were used in hierarchical regression and structural equation modeling analysis. The results reveal a significant and positive influence of collectivistic values in both samples on democratic leadership behavior. A significant and negative effect of individualistic values on democratic leadership behavior is present in Austria, while in Slovenia, the effect is positive but not significant. Based on acknowledged associations between leader’s values, leaders’ democratic leadership behavior, and sustainable development, we argue that democratic leadership behavior contributes to the sustainable working and behavior of organizations. These results have theoretical implications, indicating how personal values affect leaders’ democratic behavior and contribute to the sustainable working and behavior of organizations. The practical implications relate to the strengthening of leaders’ democratic behavior in Slovenian and Austrian organizations. In addition, these findings will be helpful in increasing the sustainability of organizations via fostering democratic leadership behavior and its underlying personal values.
Keywords: personal values, collectivistic values, democratic behavior, individualistic values, leaders, leadership, sustainable development, sustainability of organizations
Published in DKUM: 02.10.2024; Views: 0; Downloads: 7
Full text (485,83 KB)
This document has many files! More...

Abstract: The main aim of this study was to analyze the effects of availability of key information and intergenerational leadership on burnout divided into physical symptoms of burnout and emotional symptoms of burnout and work engagement regarding the firm size during the coronavirus disease 2019 (COVID-19). The empirical study included 583 older employees in Slovenia who participated in the survey during the COVID-19 pandemic. Structural equation modeling was used to explore the effects between constructs. We analyzed structural paths for the entire sample and for the two groups (small and large companies). According to the results concerning both groups, the impact of the availability of key information on emotional burnout is negative only for small companies. Contrary to that the negative impact of intergenerational leadership on emotional burnout is much stronger in large companies. Concerning the impact of physical burnout on emotional burnout, the positive impact of physical burnout exists in both types of companies but is stronger in small companies. The findings will contribute to a clearer picture and the adoption of further measures to prevent burnout in the workplace and increase work engagement concerning the firm size, especially during the COVID-19 pandemic.
Keywords: leadership, burnout, work engagement, older employees, firm size, quality
Published in DKUM: 03.07.2024; Views: 124; Downloads: 10
Full text (523,24 KB)
This document has many files! More...

Abstract: The paper’s main aim is to analyze five constructs of organizational culture, AI-supported leadership, AI-supported appropriate training of employees, teams’ effective performance, and employee engagement, and their relationship through the prism of artificial intelligence on a sample of large and medium-sized Slovenian companies. The second aim of the paper is to test the proposed model with two different statistical techniques in the scope of structural equation modeling (SEM) that enable us to assess linear (PLS-SEM) and non-linear relationships (CB-SEM) among the constructs. The empirical research included 437 medium-sized and large Slovenian companies. From each company, a CEO or owner participated in our research. The findings of the research with both techniques show that organizational culture had no impact on AI-supported appropriate training of employees and was not significant as well as that organizational culture had an impact on AI-supported leadership. The impact of AI-supported leadership on AI-supported appropriate training of employees were supported only for the PLS-SEM model. The impact of AI-supported leadership for employees on teams was positive. Contrary to that, the impact of AI-supported leadership for business solutions on teams was non-significant. In both cases, AI-supported appropriate training of employees’ impact on teams was strong and positive. Also, employee engagement impact on teams was positive and statistically significant with PLS-SEM and CB-SEM methods. The research yields important implications for companies seeking to integrate artificial intelligence effectively in their operations. It emphasizes the critical role of AI-supported leadership in driving positive outcomes, such as improved employee training and enhanced team effectiveness. Companies should focus on developing leaders who can leverage AI tools to foster a skilled and engaged workforce. By adopting data-driven decision-making processes and incorporating insights from structural equation modeling, organizations can develop effective AI integration strategies. These provide valuable guidance for enhancing human resource management practices and achieving successful AI adoption across companies. The findings contribute to the formation of new views in the field of artificial intelligence implementation in the companies and show companies a broader picture of which aspects of human resource management need to be improved.
Keywords: leadership, organizational culture, employee engagement, artificial intelligent
Published in DKUM: 22.04.2024; Views: 185; Downloads: 69
Full text (3,09 MB)
This document has many files! More...

Abstract: Purpose This study aims to apply the Delphi method to explore the possibilities for implementing agility management concepts in Slovenian health-care organisations. Design/methodology/approach The research is based on a qualitative Delphi study encompassing 15 employees in different Slovenian health-care organisations. Findings Slovenian health-care organisations need to be more agile currently. For this reason, it is necessary to begin with organisational changes and organisational learning concepts to educate employees about the meaning and content of agile processes. It is essential to ensure that accepting employee mistakes and offering help to employees becomes normal practice, and it is necessary to ensure the greater trust of the management towards the employees. Originality/value The research empowers health-care professionals with new management and leadership concepts, such as agile management, sustainable leadership and leadership development methods in health care.
Keywords: entrepreneurship, leadership, company performance, business efficiency, agile management, delphi study, health-care organisations, organisational transformation, Slovenia, change management, health services sector
Published in DKUM: 08.04.2024; Views: 301; Downloads: 23
Full text (588,83 KB)
This document has many files! More...