# Change of Competences in the Context of Industry 4.0 Implementation
## 2 Materials and Methods  
The aim of this research is to identify and highlight the need for changes in the area of competences in the context of the application of Industry 4.0 methods and techniques.  
Empirical data on the subject of this research were collected on the basis of a scientific questionnaire, which was designed on the basis of a study of the literature, available publications in the field and the experience of the authors of the paper, and was validated by expert judgement in a pilot survey. It contained 37 closed-ended questions, with the first part focused on the identification and demographic characteristics of the respondents. With regard to the focus of the subject of this research publication, only a part of the obtained data was used, which focused on the problematics of identification, use and the need to expand competences in accordance with the requirements of Industry 4.0. Given a descriptive explanation of pre-existing phenomena and facts, explanatory research that seeks an explanation for a particular phenomenon was used.  
Basic thought processes such as analysis, synthesis, abstraction, concretisation, deduction, comparison, etc., were used to elaborate the paper. Data interpretation was handled through descriptive and quantitative statistical methods. Parametric and non-parametric statistical tests were used to test the relationships between dependent and independent variables. The collected data were processed using Microsoft Excel and IBM SPSS 22.0 (Statistical Package for the Social Sciences). The anonymity of the respondents was maintained in the processing of the results.  
The research sample consisted of employees of industrial enterprises of all sizes in Slovakia, numbering 556 respondents. Out of this number, 80 (14%) of the respondents work in the public and state administration sector, 138 (25%) in the service sector and 338 (61%) in the industrial production sector. Given the thematic focus of our paper, we focus on selected organisations operating in the industrial sector. The selection of the industries included in the survey is based on the need to filter out industries that are not directly related to the automotive industry; given this, it can be declared that the sample studied is representative of the automotive industry and the supporting industries of this industry. The distribution of respondents operating in the selected sectors of the industry is presented in Table 2.  
From the results of the questionnaire survey, we identified that 196 (76%) of the respondents belong to the category of large organisations (250 employees and above), 45 (17%) belong to the category of medium organisations (up to 249 employees) and 19 (7%) belong to the category of small organisations (10 to 49 employees). Micro-organisations (up to 10 employees) were excluded considering the focus of the paper.  
\begin{table}
\begin{tabular}{l l} \hline \hline
**Competence Table** & **Key Competence** \\ \hline Risk and Opportunity & _Welcoming uncertainty and change_ \\ \hline Stakeholders & _Contextual awareness; Networking skills; Strategic communication skills_ \\ \hline Select and balance & _Ability to make trade-offs; Capacity Analysis; Decision-making models and_ \\ \multicolumn{2}{l}{_strategies; Dependency mapping_} \\ \hline \hline \end{tabular}
\end{table}
Table 1: Cont.  
In our sample, 57 (22%) employees are working as production employees, 87 (33%) are working as specialist employees, 65 (25%) are working as administrative employees and 51 (20%) respondents are working as managerial (management) employees.