Presented paper deals with optimization of technological processes, particularly it is focused at quality control. Quality measuring is fundamental for any quality or process improvement. "If is not possible to measure it, it is not possible to manage it." In general it is possible to say that quality is measured at the process input, during the process (in-process control) and at the process output. This paper is focused at the in-process control and its quality itself. Paper presents the case study of optimization of the in-process control by using Six Sigma methods and tools in company producing medical technology and medical products in Czech Republic. Firstly, the description and analysis of in-process control is carried out, while the problem-causing factors are examined. Based on these findings, the proposals for process optimization follow. According to methodology, the DMAIC cycle is completed by the evaluation of process performance, where partial process performance indicators are designed.
In this paper, the key factors that affect the extent of GDPR implementation in enterprises are analysed. Since 2018, all organizations operating in the European Union or processing personal data of EU citizens have had to incorporate a new regulation in their work. After three years of experience, possible key factors that significantly affect the cost of the entire project have been theoretically identified. However, a research gap remains whether the factors thus defined actually have a real impact on the implementation within organizations. Therefore, this study focuses on an empirical investigation of those characteristics using quantitative approach combining Chi-squared tests and the Classification and Regression Tree method. Based on a survey of organizations in the Czech Republic, this paper outlines that the size of the organization, the typology of personal data processed and the way GDPR is implemented determine the scope of the implementation project within organizations. On the other hand, there is no clear evidence that there is significant role in whether it is a public or private organization.
The goal of this paper is to describe and evaluate the framework conditions for young innovators in selected countries in the Central Europe region. Young innovators -people not older than 35 with innovative ideasrepresent a specific target group worthy of support in their efforts and in overcoming the issues they may face due to their age, experience, knowledge or social background when attempting to develop their innovative ideas and realize their entrepreneurial ambitions. 144 young innovators and 120 mentors were gathered in so-called Regional Innovation Labs drawing on the well-known concept of living laboratories. In this context, it was possible for them to articulate young innovators' needs and requirements concerning the initial support for the development of their potential. The result was a list of twenty key supporting services selected by focus groups, including the evaluation of availability and quality of these services in selected countries.
This paper deals with the topic of General Data Protection Regulation and its consequences for companies. Regulation defines new requirements that companies must meet by May 2018. These requirements changed the previous view on the management of personal data in organizations where some normative requirements became legally enforceable requirements. The circumstances of the adoption and requirements coming from new legislation are described as first while there is also outlined the relation with contemporal business administration approach and data protection management. On this basis, the readiness of businesses is evaluated by triangulation of more available studies and the main factors influencing the preparedness are also identified and analyzed. The final part is devoted to the process of GDPR implementation, consisting of carrying out the whole Data Protection Impact Assesment, as well as the mapping of data in organization.
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