Abstract
The impact of tourism on quality of life standards in regions is significant in terms of people, planet, and profit. This paper examines the subnational NUTS 2 level regions, (in line with Eurostat) by applying several interlinked and connected indicators. Adopting the three Ps (people, planet, profit) of the Sustainability Services Marketing Mix, this article discusses the fusion of 54 regions of Central and Eastern Europe (Czech Republic, Slovakia, Hungary, Poland, Estonia, Lithuania, Latvia, Slovenia, Romania, and Bulgaria) into clusters according to the selected accommodation tourism indicators used by the European Statistical Agency (Eurostat) to evaluate tourism. Since many variables of the Prague region significantly exceed the values of the remaining regions, this region has been considered as an individual cluster, excluded from the cluster analysis. The cluster analysis resulted in the definition of six clusters consisting of regions with similar indicators’ statistics characteristics. The presented approach changes the traditional approach to clusters in tourism and provokes thinking about new criteria of clustering and solutions in the field of tourism, especially when considering future cooperation, competitiveness, and sustainable development.
Highlights
The demand for quality services and competitive business environments have led to the definition of several quality measurement methods
Adopting the three Ps of the Sustainability Services Marketing Mix, this article discusses the fusion of 54 regions of Central and Eastern Europe (Czech Republic, Slovakia, Hungary, Poland, Estonia, Lithuania, Latvia, Slovenia, Romania, and Bulgaria) into clusters according to the selected accommodation tourism indicators used by the European Statistical Agency (Eurostat) to evaluate tourism
The cluster analysis in the present study focuses on the following conjunctions: (1) Place vs. people, (2) product vs. people, (3) participants vs. people
Summary
The demand for quality services and competitive business environments have led to the definition of several quality measurement methods. As summarized by Charles and Kumar [1], abundant research has been carried out to measure the quality of services in various sectors (e.g., banking services, medical services, travel and tourism, mobile communications, etc.). Most of the people, who travel, like to have information concerning a journey, accommodation, food, and even beyond these few necessities on the supply side. The people who prepare the journey, accommodation, food, and other services need to acquire information on the demand side of market (preferences). The production function in the tourism industry is the starting point for this quite complex analysis, for instance, the production function described by Smith [2]
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