Klára Burišková, Vladimír Rogalewicz, Petr Ošťádal
Health care economists estimate that 40-50% of annual cost increases can be traced to new technologies or the intensified use of old ones (Callahan, 2008). However, any limitation of their application is massively criticized as unethical. Patients (supported by journalists) believe that new expensive technology will speed-up their treatment and miraculously enhance their quality of life, while physicians are fascinated by fanciful possibilities of state-of-the-art devices. Nevertheless, due to limited resources of health care, each particular utilization of a medical device should be put to the test of the clinical effectiveness and cost-effectiveness (Markiewicz, van Til, & Ijzerman, 2014; Rosina et al., 2014). The typical approach used above all in drugs is to calculate cost-effectiveness when the technology is in routine use.
Motivation research has a long history of considering employee motives and needs, and it is still popular. To find the reason, it is not necessary to look for a long time. Numerous studies have shown that employees could be the most valuable asset that organizations have. Employees, with their knowledge, skills, abilities, and work attitudes, influence how efficiently resources and means are used. Kazdová (2012) says that the employee who is motivated speaks about the firm positively, sees his/her future in the firm, and makes an extra effort which leads to the improvement of organizational outputs. According to Swift, Balkin, and Matusik (2010), employee motivation influences knowledge sharing in the organization, among other things. If the employee is motivated, he/she is more willing to share knowledge (Hau, Kim, Lee, & Kim, 2013).
Eva Jarošová, Darja Noskievičová
The statistical process control (SPC) is widely used in industry. Its aim is to achieve proces stability and improve capability through the reduction of variability and it is included for example in the Six Sigma or Lean Six Sigma methodologies. The control of attribute data represents a considerable part of it. Until recently, the same approach was used to monitor variables or attributes data. In this approach, subgroups of items are taken from a process and sample characteristics are plotted in a control chart to see whether their variation is only random or whether it is affected by an assignable cause. The presence of such cause is indicated by exceeding the control limits that are based on the sample
Daniela Palaščáková, Gabriela Koľveková, Dávid Melas
As for creating values in society intellectual capital is as inevitable as money and physical capital. According to Edvinsson and Malone (1997), intellectual capital can be defined as intangible assets, which are not explicitly stated in the company´s balance but even though they have a positive effect on the company´s efficiency. The division of elements of the intellectual capital varies across different literature particularly regarding its titles. The same categories are called differently by Edvinsson and Malone (1997), by Petty, Cuganesan, Finch and Ford (2009), by Fragouli (2015) and by others like Ozkan, Cakan and Kayacan (2017). For our purposes, we will use the division that was also used by Ozkan, Cakan, and Kayacan (2017) and according to which intellectual capital consists of these three elements: structural, relational and human capital.
Martina Hedvičáková, Martin Král
Industrialization, a major force in structural change, shifts resources from labour-intensive activities to more capital technology-intensive activities. It will remain crucial to the future growth of developing countries. Manufacturing’s share of GDP has remained stable over the last 40 years. Technology and capital equipment are the main drivers of both manufacturing growth and aggregate growth in developed and developing countries, although in developing countries energy and natural resources use affects growth in the medium- and low-tech industries (Unido, 2018). Currently, the industrial value creation is shaped by the development towards the fourth stage of industrialization, so-called Industry 4.0. Industry 4.0, referred to as the “Fourth Industrial Revolution”, also known as “smart manufacturing”, “industrial internet” or “integrated industry”, is currently a muchdiscussed topic.