Background: The aging of the European population is a demographic trend reflected in the ever-growing number of older employees. This paper introduces the importance of motivation and satisfaction in the workplace among age diverse employees in Slovenian companies. Objectives: The goal is to investigate the differences between the motivation and satisfaction of employees from different age groups in the workplace. Methods/Approach: The paper is based on research including a survey of two age groups of employees in Slovenia. We employed the Mann-Whitney U test to verify differences in the motivation and satisfaction in the workplace between the two groups. Results: Older employees are more motivated by flexibility in the workplace; autonomy at work; good interpersonal relationships in the workplace; the possibility of working at their own pace; respect among employees; equal treatment of employees regardless of their age. They are more satisfied with interpersonal relationships in the company; their work; working hours and the distribution of work obligations; and facilitation of the self-regulation of the speed of work performed. Conclusions: Motivation and satisfaction change as individuals age. Using this information, managers and employers can apply appropriate measures to contribute to employees’ well-being and better workplace performance, better working relationships with colleagues, higher productivity, and greater creativity.

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.

This paper aims to measure the level of artificial intelligence (AI) support to project management (PM) in selected service sector activities. The exploratory factor analysis based on the extensive survey on AI in Slovenian companies along with the multi-criteria measurement with an emphasis on value functions and pairwise comparisons in the analytic hierarchy process, was employed. The synthesis and performance sensitivity analysis results show that in the service sector concerning all criteria, PM is with the level 0.276 best supported with AI in services of professional, scientific, and technical activities, which also stand out concerning the first-level goals, in using AI solutions in a project with the value 0.284, and in successful project implementation using AI with the value 0.301. Although the lowest level of AI support to PM, which is 0.220, is in services of wholesale and retail trade, and repair of motor vehicles and motorcycles, these services excel in adopting AI technologies in a project with a value of 0.277. Services of financial and insurance activities, with the level 0.257 second-ranked concerning all criteria have the highest value of 0.269 concerning the first-level goal of improving the work of project leaders using AI. The paper therefore contributes to the comparisons of AI support to PM in service sector activities. The results obtained can help AI development policy makers, which activities need to be supported and which ones should be set as an example. The presented methodological frame can serve to perform measurements and benchmarking in various research fields.

Purpose: The main aim of the paper is to establish the effects of appropriately organized work as well as the effects of the employees' concerns related to work during the COVID-19 pandemic on work efficiency and work satisfaction among employees working from home during this period. The empirical research includes 619 employees in Slovenia, who participated in the survey during the COVID-19 pandemic.Design/methodology/approach: Structural equation modeling was used in exploring the effects between constructs.Findings: Based on the results, the authors found that appropriately organized work during the COVID-19 pandemic has a positive effect not only on the work efficiency of employees who work from home during the COVID-19 pandemic in Slovenia but also on their work satisfaction. Also, based on the results, the authors found that the employees' concerns related to work during the COVID-19 pandemic have a negative effect on the work efficiency and on the work satisfaction of employees who work from home during this period in Slovenia.Originality/value: The COVID-19 pandemic dramatically changed the way we live and work; therefore, this paper contributes to the creation of new working conditions and employee management during and also after the COVID-19 pandemic.

Purpose: The purpose of this paper is to present the importance of a healthy working environment and approaches to establish a healthy working environment of older employees and their impact on work engagement of older employees. The working environment that is not suitable and adapted for older employees presents a big challenge for Slovenian and other companies in which the work force is getting older. Hence, this paper develops a model of a healthy working environment for older employees, in which they could feel well because of its positive affect on their health.Design/methodology/approach: The research method in this paper was the descriptive-correlative type. After a systematic review of literature, which relates to this topic, the authors used the compilation method. In addition to descriptive statistics, factor analysis and regression analysis were used in this paper.Findings: Considering the demographic changes and active ageing in the workplace, age diversity of employees has to become a part of the general strategy of a company to ensure equality and diversity. Adequate working conditions, which should exist in every company, contribute to the improvement of healthy working environment for older employees and their work-engagement. This paper presents that approaches to establish a healthy working environment of older employees have a positive impact on work-engagement of older employees.Practical implications: The stated findings will help companies to better understand and manage their older employees and the importance of establishing a healthy working environment for older employees with which the work-engagement of older employees can be improved. Socially responsible behavior benefits all in this way, too.Originality/value: This paper is based on forming a research model for creating a healthy working environment for older employees as a part of social responsibility. The main objective of this paper is to examine the impact of establishment of a healthy working environment for older employees on the work engagement of older employees in Slovenia.

Background and Purpose: People spend a significant part of their lifespan working, but the role of age in job design and implementation of work have largely been ignored. The consequences can be evident in stress and burnout in different symptoms. Thus, age-diverse employees are faced with different symptoms of burnout and stress when carrying out their work. The main aim of this paper is to present burnout of older employees compared to younger employees in Slovenian companies.Design/Methodology/Approach: The paper is based on research including a survey between two age groups of employees, namely the younger employees that were classified in the group of under 50 years of age and the older employees that were classified in the group of above 50 years of age. Since the Kolmogorov-Smirnov and Shapiro- Wilk test showed that the data was not normally distributed, the noan-parametric Mann-Whitney U test was used to verify differences in the physical symptoms of burnout, emotional symptoms of burnout, and behavioral symptoms of burnout in the workplace between two groups.Results: The results show that there are significant differences in the great majority of the variables describing the physical symptoms of burnout, emotional symptoms of burnout, and behavioral symptoms of burnout in the workplace between younger and older employees.Conclusion: Well-being in the workplace of age-diverse employees is a key for long-term effectiveness of organizations. Managers and employers should apply appropriate measures to reduce burnout as well as to contribute to employees well-being and better workplace performance.