| Abstract [eng] |
One of the most important behavioural processes underlying travel decision-making can be generally described as the information search and processing. It is very important to understand, how travellers acquire and process information, because during the information search process marketers can influence travellers’ decision making to some degree. Travel decisions require a large amount of internal and external information and potentially involve a number of information search, evaluation and integration tasks and activities. Travellers have converted the Internet as one of their primary sources for travel information. However, travellers often get lost in the huge amount of information online and are not able to locate the information they try to find. Therefore, destination recommendation systems became a significant tool in the travel industry, which serve as object in this master's final paper. The tasks of master's final paper: 1. To study and describe theoretic aspects of traditional and travel decision-making, information search and processing process. 2. To explore the theoretic aspects of destination recommendation system conception. 3. After evaluation of examined scientific literature, already made researches and practical examples about destination recommendation systems, to make a structure of destination recommendation system in consumers decision making process theoretic model. 4. After evaluation of created destination recommendation system in consumers decision making process theoretic model, to form the empirical research scripts in order to improve it. 5. After analysis of made research, to make the improvements for the theoretic model of destination recommendation system in consumers decision making process. There were used qualitative research forms – case study and focus groups, and quantitative research form - questionnaire survey, which results helped to prove, that internet is one of primary sources for travel information and that consumers are in lack of clear and systematic information. Destination recommendation systems have the potential to assist tourists in their decision-making by reducing their search efforts and by improving the quality of their decisions. The scope of this work is 56 pages, including 14 tables and 20 pictures. |
