The ability to do business successfully and to stay on the market is a unique feature of each company ensured by highly engaged and high-quality employees. Therefore, innovative leaders able to manage, motivate, and encourage other employees can be a great competitive advantage of an enterprise. Knowledge of important personality factors regarding leadership, incentives and stimulus, systematic assessment, and subsequent motivation factors are parts of human capital and essential conditions for effective development of its potential. Familiarity with various ways to motivate leaders and their implementation in practice are important for improving the work performance and reaching business goals. Pearson’s chi-square test is used to test correlation between the motivation factors relating to career aspiration and education. Following the research results, the fact that there is dependence between the motivation factors relating to career aspiration and completed education can be stated. The motivation factors relating to career aspiration are important, even very important for highly educated employees and employees with upper secondary education. Following the research results, the fact that the requirements and expectations relating to career aspiration are more demanding when the education completed by employees is higher is confirmed.

The main goal of human resource management (HRM) is to create conditions that allow enterprises to run businesses effectively by following the maximum performance and sustainability of business processes, which are key factors for an enterprise to succeed on the market. For effective management of employees as a part of HRM, systematic employee motivation is necessary because human resources are a key factor for achieving enterprise sustainability. As employees can be motivated by everything stimulating their activity, the aim is to define the importance of employee motivation through the most important motivation factors relating to mutual relationships. The emphasis is put on the identification of statistically significant differences in terms of socio-demographic features of employees. At a significance level of 5%, the statistically significant differences in terms of gender, age, and job were tested further using Tukey’s honestly significant difference test. The research results showed a large number of statistically significant differences between individual employee categories. This leads to the conclusion that employers should focus on creating individual motivation programs for employees and not approach employees uniformly because of their various needs. Creating individual motivation programs for employees should respect their needs in terms of gender, age, and job position. Enterprises are recommended to focus their motivation programs on supporting motivation factors related to finance, mutual relationships, and work conditions.

The aim of the paper is to analyse the effect of key factors affecting the risk of workplace injuries and to identify the most common workplace accidents regarding injured body parts with respect to anthropometric data measurements of the population. Data associated with workplace accidents over the years 2000–2016 were drawn from the records of the state enterprise Forests of the Slovak Republic, situated in Banská Bystrica. Gathered data were processed and entered into the database complemented by the data on accidents of the self-employed working in the forestry industry. A total of 1874 workplace accidents in the state enterprise were recorded and statistically evaluated during the analysis period. A method for contingency table was used to analyse correlation between qualitative (categorical) variables in the dataset. A Poisson regression model was used to determine the injury rate. Forest harvesting is considered the most risky phase of the process of harvesting, processing, and transport. The highest number of workplace accidents (31.8% of all recorded workplace accidents) occurred during the forest harvesting phase during the analysis period. Timber skidding, with 16% of recorded accidents, was the second highest-risk phase. The workplace injury rate in the forest industry in Slovakia decreased over the course of the years 2000–2016. Head and facial injuries were those with the highest rate (67.1% injuries of these body parts) during the phase of harvesting and skidding.

The aim of the study was to conduct an analysis of selected anthropometric measurements of sitting posture of the adult male population and to compare the results to the workplace of earthmoving machine operators. Research into this problem is important in several respects, particularly the design approaches taken for the current and future machines, and their impact on the health and safety of operators. The anthropometric analysis was based on dimension measurements of the adult male population gathered in the years 2002–2019. The sample consisted of 1702 subjects aged 18 to 25. Thirteen body dimensions were selected and evaluated according to the European Standard of International Organization for Standardization (EN ISO) Nr. 3411. Anthropometric analysis of individual dimensions was evaluated using descriptive statistics and frequency histograms. The results of the analysis were compared to values recommended in the EN ISO 3411 standard. Results confirmed the growing trend of specific human dimensions within the adult population. In eight of the 13 analyzed body dimensions, descriptive statistics showed above-average values in the analyzed population compared to the values given in the standard. The long-term trend commonly observed in the adult population of developed countries was also confirmed.

Differences in Employee Motivation in Slovakia and Czech Republic | InTechOpen, Published on: 2017-06-07. Authors: Miloš Hitka and Žaneta Balážová