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• Analysis of Labor Market Indicators in the Northern Great Plain Region in 2018 and 2022

  25-42

  Lilla Csástyu

  Views:

  341

  In my study, I analyze the labor market indicators of the North Great Plain statistical region for the years 2018 and 2022 in order to map the regional labour market characteristics based on the indicators. One method of the analysis is the Beveridge curve. This complex analysis method graphically illustrates the evolution of the relationship between the unemployment rate and the proportion of vacant positions typical of the region under investigation. The results of the analysis can draw attention to possible problems in the labour market in the region. I examine the secondary statistical data in parallel with the available related literature.

• Role of Grants for Tourism Purposes in Development of the Northern Great Plain Region

  365-376

  Éva Darabos

  Tünde Orsolya Nagy

  Views:

  338

  Aim of the treatise is, based on main macroeconomic indicators, to present the development of the Northern Great Plain region and the amount of EU grants received, including the ones for tourism purposes, as well as to examine the effects of grants. Based on the data, it can be concluded the region received significant grants during the years 2007-2013; it is in last place in view of the economic development but has achieved better performance in several areas. It is difficult to examine the accommodation and food service national economic sector independently: in one respect, it develops by the combined impact of several other areas, on the other hand, the tourism-related developments become usable for other sectors as well, new enterprises and investments are launched, at the same time, not only the companies’ but the municipalities’ revenues from tourism are increasing. Based on the statistical data, attention will be drawn to the fact that the outcome of developments is just moderate in the area of catering and tourism in the region and has a different rate by county.

• Risk Analysis of Food Retail Companies in Hungary’s Northern Great Plain Region

  539-550

  Tibor Tarnóczi

  Veronika Fenyves

  Views:

  538

  Based on the financial ratios of analyzed companies we were performed a risk analysis, highlighting the degree of operational and financial leverages and the degree of combined leverage combining preceding ratios. We introduced a new aspect of the risk concept which began to spread in recent times. In the interest of to be able to analyse together cross-sectional and time series data, panel regression model was used. The panel regression is an extension of the multivariate linear regression interpreted as a multi-level model. In our study, the panel regression was used for analysis of food retailer companies, in the Northern Great Plain region's counties, in the period 2009-2014.

• Adapting Open Innovation Model in Supplier Qualification Programs

  155-167

  József Gályász

  Balázs Darnai

  József Antal

  Views:

  482

  The development of innovative models fundamentally contribute to the changing the way of thinking in business context. Today, in this process, the impact of open innovation model is a kind of paradigm shift. The contents of this change has been mostly clear in the field of context of product-, innovation and technology, but not onm the field of organizational and management innovations. In this study, we sought to answer that in the case of knowledge transfer’s special field –the programs of suppliers - how to apply the principles of open innovation and how this may have positive effects. The motivation behind, was to look for commonly used models for the SME sector, that is fundamentally linked to large enterprises as suppliers, characterized by increasingly rapid technological development ecosystem to collaborate.