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High level of visitor satisfaction is an important signal of sustained success for tourism destinations. The primary goal of this research study is to identify differences in reported visitor satisfaction that do not accurately reflect differences in the delivery of satisfaction by destinations. Our aim is to reveal the influence of factors, such as weather conditions, that may distort comparisons of tourism destinations when measuring visitors’ satisfaction with their stays. We used a generalized linear model (GLM) to estimate reported satisfaction as a function of various factors, with weather included as a factor. The analysis shows that weather as well as the other extraneous factors play an important role in measuring visitors’ satisfaction. The results suggest that when comparing the relative success of various tourism destinations, adjustments in destination benchmarking are necessary to avoid arbitrary bias caused by differences in the timing and conditions of visitor data collection.

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High level of satisfaction of tourists is one of the most common goals of sustainable tourism destinations. The general assumption is that higher level of tourists' satisfaction leads to a higher tourists' loyalty to destinations. This research looks on this relationship from macro level of European Union (EU) countries. We have used data from Eurobarometer-Preferences of Europeans towards Tourism between 2013 and 2016to statistically compare and analyse several satisfaction indicators of European tourists incoming the chosen EU countries. The results show significant differences amongst countries as destinations and could be used to identify strengths and weaknesses of EU countries as tourism destinations. The robust data set enables the benchmarking of EU countries as tourism destinations from the tourists' satisfaction point of view. This study shows the ranking of the EU countries in several dimensions of tourists' satisfaction.

This paper focuses on the highly demanding issue of managing residents’ attitudes towards tourism development in urban tourism destinations. The objective of this study was to find efficient solutions in how to manage residents’ attitudes systematically to reduce residents’ irritation in urban destinations, which are considered as complex systems. Therefore, the systems approach methods such as system dynamics and simulation modelling were used. The presented system dynamic model represents the main theoretical contribution of this paper and fills a gap in the current theory of using systems approach to manage residents’ attitudes and reduce residents’ irritation. The model enables wide range of simulations and can be applied in practice in urban destinations with high tourism intensity to find suitable solutions for a particular destination. The case of Český Krumlov Town, the Czech Republic, show that regulating the number of visitors helps to reduce the overall irritation of residents, especially in peak times when overcrowding occurs, but this alone may not be sufficient to keep residents’ irritation lower in the long-term. Therefore, it is necessary to use a more advanced approach by combining visitor management with benefits for residents.

This paper deals with a source market size estimation tool that is based on a combination of geomarketing information and consumer spending datasets. We have decided to apply a proposed estimation method on three consumption expenditure groups that are related to the tourism and hospitality industry in the Czech Republic. The geographic and consumer spending data sets for the period 2011-2016 were drawn from publicly available sources. With the use of GIS software, this method allowed us to estimate and graphically display consumer spending on recreation and culture; restaurants and hotels; and transport in 2016 at the level of Czech districts, as well as the average annual growth rate during the period 2011-2016. This paper describes the Czech tourism and hospitality market from its size and growth point of view. It shows the trends in expenditures for hospitality and tourism services, explain the purchasing power in Czech regions and districts and predict the development for next few years. The results obtained by this low-cost method can be easily used by enterprises from the Czech Republic within domestic tourism, as well as by the foreign companies wanting to attract Czech visitors.

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According to the results from OECD countries, the position of the tourism sector in Slovakia has been unfavourable for a long time. Tourism in Slovakia is managed in a decentralized way, which is legally and financially supported in certain forms. Support is largely conditional on cooperation. Such an example is the support of the creation and activities of regional tourism organizations. In this paper, we will examine the economic significance and justification of cooperation among entities that are members of regional tourism organizations, by determining the relationship between the number of these organizations and the amount of revenue divided into four categories at the regional level. In this work we used multiple regression and correlation analysis. Based on their results, we identified the performance of companies according to the categories of achieved revenues. The results suggest that the most productive companies are companies with revenues ranging from 100000-500000 Euros per year. The paper also offers a framework of questions for further research related to sector governance, as well as an awareness of the importance and significance of cooperation.