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Development of a Model for Measuring the Hotels Photography Impact on Online Booking

Student: Panyukova Tatyana

Supervisor: Sergey P. Kazakov

Faculty: Graduate School of Business

Educational Programme: Experience Economy: Hospitality and Tourism Management (Master)

Year of Graduation: 2021

Federal state autonomous institution of higher education "National research university” "Higher School of Economics" ANNOTATION to final qualifying work Student: Panyukova Tatiana Alekseevna Theme: Development of a Model for Measuring the Hotels Photography Impact on Online Booking The thesis is written on 80 sheets of typewritten text and consists of an introduction, three chapters, a conclusion, a list of used literature and appendices. The purpose of this study is to develop a model for measuring the effectiveness of the impact of image images of hotels on online booking. The object of the study is the image images of hotels. The subject of the study is a model for measuring the effectiveness of the impact of image images of hotels on online booking. The introduction describes the relevance of the work, the information base of this study, the purpose and objectives of the study. The first chapter of this research paper examines the theoretical basis of the research based on the studied literature, defines the essence and concept of consumer experience in the hotel business, the importance of visual photo images posted on the hotel website. Metrics for measuring consumer experience are highlighted. The author examines the sites of Russian and foreign hotels and makes a comparative table of five hotel sites. In the first chapter, a research question is formulated. The second chapter is devoted to the research methodology. Methodological procedures for collecting and analyzing research data are described. A descriptive analysis of the obtained data is carried out. The third chapter is devoted to the results of the study. The detailed analysis of the received data is described. The obtained research results for the theory and practice of consumer experience are discussed, and the limitations of the research are revealed. The paper concludes with recommendations for future researchers in this subject area. The results obtained in this study may be useful for hotel business owners and scientists whose area of interest is related to hospitality and neural networks. The novelty and relevance of this topic is also explained by the fact that there are few studies on this topic, both among Russian and foreign authors.

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