Abstract
AbstractThis paper aims to improve our knowledge regarding types of queries raised by travellers on digital platforms by developing a model that helps in identifying and classifying such queries. Qualitative data collection and analysis of questions and answer postings of visitors on TripAdvisor forum of 10 U.K. destinations were used. Extracted data were analysed using NVivo11. Preliminary analysis identified basic themes in tourist information search. Further analysis indicated that two principal factors help in classifying online travel queries facilitating the development of the WOLF model. Findings in this study also indicate some practical implications and areas of further study.
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