Future economic growth and competitiveness will increasingly depend on how effectively employers can utilise their ageing workforces. To manage the inevitable changes in demographics, employers need ...to start preparing for an ageing workforce and developing strategies to manage and retain older employees. The main objective of this paper is to determine the impact of leadership and employee relations on work satisfaction of older employees, as well as to determine the impact of work satisfaction on the work engagement of older employees in financial service companies in Slovenia. To test the hypotheses, the authors used structural equation modelling. The results show that the effects of leadership and employee relations on work satisfaction in the case of older employees in financial service companies in Slovenia are positive, and the effect of work satisfaction on the work engagement of older employees is positive, too.
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.
The purpose of the paper is to create a multidimensional talent management model with embedded aspects of artificial intelligence in the human resource processes to increase employees' engagement and ...performance of the enterprise. The research was implemented on a sample of 317 managers/owners in Slovenian enterprises. Multidimensional constructs of the model include several aspects of artificial intelligence implementation in the organization's activities related to human resource management in the field of talent management, especially in the process of acquiring and retaining talented employees, appropriate training and development of employees, organizational culture, leadership, and reducing the workload of employees, employee engagement and performance of the enterprise. The results show that AI supported acquiring and retaining a talented employees, AI supported appropriate training and development of employees, appropriate teams, AI supported organizational culture, AI supported leadership, reducing the workload of employees with AI have a positive effect on performance of the enterprise and employee engagement. The results will help managers or owners create a successful work environment by implementing artificial intelligence in the enterprise, leading to increased employee engagement and performance of the enterprise. Namely, our results contribute to the efficient implementation of artificial intelligence into an enterprise and give owners or top managers a broad insight into the various aspects that must be taken into account in business management in order to increase employee engagement and enterprise's competitive advantage.
PurposeThe coronavirus disease 2019 (COVID-19) epidemic has caused stress for everyone and impacted the lives of people globally. Such stress increases troubles for the employees. Therefore, the aim ...of the paper is to identify symptoms of health problems that employees face during the COVID-19 epidemic. Also, the aim of the paper is to examine if there are statistically significant differences in the physical, emotional and behavioral symptoms of health problems among employees before the COVID-19 epidemic and employees during the COVID-19 epidemic.Design/methodology/approachThe research is based on a survey of 950 employees in Slovenian companies. The factor analysis and the t-test for two independent samples were used to test the hypotheses of the research.FindingsThe results show that physical, emotional and behavioral symptoms of health problems of employees during the COVID-19 epidemic are intensified as compared to the before COVID-19 epidemic era.Originality/valueThe results highlight the measures with which companies can reduce the problem of different symptoms of employees during the COVID-19 epidemic. The results can be useful for employers and for managers who want to create an adequate working environment for employees during the COVID-19 epidemic.
Background: Our research delved into exploring various selected facets of AI-driven employee engagement, from the gender perspective, among Slovenian entrepreneurs. Methods: This research is based on ...a random sample of 326 large enterprises and SMEs in Slovenia, with an entrepreneur completing a questionnaire in each enterprise. Results: Findings suggest that there are no significant differences between male and female entrepreneurs in Slovenia regarding various aspects of AI-supported entrepreneurial management practice including the following: AI-supported entrepreneurial culture, AI-enhanced leadership, adopting AI to reduce employee workload, and incorporating AI tools into work processes. The widespread integration of AI into entrepreneurship marks a transition to a business landscape that values inclusivity and equity, measuring success through creativity, strategic technology deployment, and leadership qualities, rather than relying on gender-based advantages or limitations. Our research also focused on the identification of gender differences in path coefficients regarding the impact of the four previously mentioned aspects of AI on employee engagement. While both genders see the value in using AI to alleviate employee workload, the path coefficients indicate that female entrepreneurs report higher effectiveness in this area, suggesting differences in the implementation of AI-integrated strategies or tool selection. Male entrepreneurs, on the other hand, appear to integrate AI tools into their work processes more extensively, particularly in areas requiring predictive analytics and project scheduling. This suggests a more technical application of AI in their enterprises. Conclusions: These findings contribute to understanding gender-specific approaches to AI in enterprises and their subsequent effects on employee engagement.
This paper aims to develop a multidimensional model of AI-supported employee workload reduction to increase company performance in today’s VUCA environment. Multidimensional constructs of the model ...include several aspects of artificial intelligence related to human resource management: AI-supported organizational culture, AI-supported leadership, AI-supported appropriate training and development of employees, employees’ perceived reduction of their workload by AI, employee engagement, and company’s performance. The main survey involved 317 medium-sized and large Slovenian companies. Structural equation modeling was used to test the hypotheses. The results show that three multidimensional constructs (AI-supported organizational culture, AI-supported leadership, and AI-supported appropriate training and development of employees) have a statistically significant positive effect on employees’ perceived reduction of their workload by AI. In addition, employees’ perceived reduced workload by AI has a statistically significant positive effect on employee engagement. The results show that employee engagement has a statistically significant positive effect on company performance. The concept of engagement is based on the fact that the development and growth of the company cannot be achieved by increasing the number of employees or by adding capital; the added value comes primarily from increased productivity, which is a result of the innovative ability of employees and their work engagement, which improve the company’s performance. The results will significantly contribute to creating new views in the field of artificial intelligence and adopting important decisions in creating working conditions for employees in today’s rapidly changing work environment.
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.
PurposeThe 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/approachStructural equation modeling was used in exploring the effects between constructs.FindingsBased 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/valueThe 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.
The purpose of this article is to present the relationships among older employee stress, motivation, satisfaction, and relationships in the workplace using two different approaches and different ...sample sizes. Research was implemented on an initial sample of 1013 older employees. In the next step, six smaller samples were calculated using the random selection of cases, namely samples with 25, 50, 100, 250, 400, and 500 older employees. This way the possible impact of sample size on relationships between latent variables using the covariance-based structural equation modeling (CB-SEM) and the partial least squares structural equation modeling (PLS-SEM) methods was assessed. The results on the larger samples have proved to be quite robust since they were confirmed with both approaches. They indicate that stress has a strong and negative impact on employee relationships and also a negative impact on employee satisfaction. Furthermore, employee relationships have a strong and positive impact on satisfaction and a positive impact on employee motivation. In addition, satisfaction has a strong and positive impact on employee motivation. The present paper helps readers to better understand the difference between the CB-SEM and the PLS-SEM methods. Researchers should be encouraged to use both techniques, even though CB-SEM methods have had a long tradition in management and marketing research since both fields heavily rely on psychometric measurement. From the organizational point of view, conclusions highlight the importance of the impact the variables of older employee stress, motivation, satisfaction and employee relations have on each other in the workplace.
This study has highlighted the need for an agile work environment to enhance companies’ performance, growth, and sustainability. In today’s rapidly changing business world, the goal of every ...individual and team in a company should be to deliver value to customers. The paper highlights theoretical and empirical evidence on the importance of an agile work environment and its positive effect on company performance. In addition, the paper provides insights into the important concept of developing an agile work environment and offers a conceptual model with five selected constructs, which can be leveraged to build an agile mindset in companies. Moving away from traditional leadership models, this paper highlights the significant role that agile leadership can play in enhancing effectiveness and performance, even in long-established large companies. The empirical research was based on 468 randomly selected medium and large Slovenian companies. Structural equation modelling (SEM) was used to test the model. The empirical results show that changing and adaptive agile companies are the ones that thrive more easily in an environment that is unpredictable and characterized by rapid change.
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