Innovative sharing economy’s business models in tourism: case of Airbnb in Prague

Abstract

This paper sums up one of issues in tourism industry within scientific framework by analysing the relationship between average daily rate and occupation rate of rentals in a sharing economy platform. The main aim of the current research is to verify the existence of a dependency between the property type and the occupancy rate, and, identify if the specific property type is more demanded on the market and confirm or reject an existence of the dependency between an average daily rate and the occupancy rate. Systematization of literary sources and approaches show that the evolution of Airbnb affects the hotel market by offering the property owners a possibility to easily share their accommodation with the visitors for a fee. The relevance of the decision of this scientific problem is that while the scale of the offered accommodation possibilities grows, the segment of the sharing economy starts to significantly change the accommodation market and attracts the attention of regulatory authorities and entrepreneurs. In this paper, the researchers discuss the structure and the segmentation of the Airbnb activities in Prague and present some descriptive statistics on Airbnb activities in this city. The research is based on the data set monitoring 13918 units in Prague offering accommodation in April 2016. Analyses of variance and correlation analysis were performed by the authors to verify scientific hypotheses. The research empirically proves that there is a negative linear relationship between the Average Daily Rate and Occupation Rate. Based on the analysis of variance, it can be stated that there are differences in occupation rate by property type. Entrepreneurs, hotels and other accommodation providers in tourism and hotel industries and visitors of accommodation services can gain benefits from the findings of this study.

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