Samenvatting

Big data analysis can change the global tourism and hospitality industry, providing deeper knowledge and greater insights and increased relationships regarding e-travelers. The purpose of this study is to present a mapping literature review and a research articles' classification regarding big data and social media data exploitation representing a fuel of innovation in tourism and hospitality. The review covers 24 articles from peer review journals, over the last decade, presenting the Boolean technique followed for the data-extraction method. The articles are classified in several distinct modules and research thematic areas and sub-areas. The findings of this study reveal, among others, the most studied areas, trends and tendencies for big data analysis in tourism and hospitality. Our literature review revealed several emerging research approaches, focused on, but not limited to: social media platforms and other data sources, type of analysis (data analytics, model analytics and geospatial analytics), tools and methodologies and outcomes, to wit market research and decision-making in tourism. This study is the first using mapping literature review techniques on focused articles related to BD analysis regarding tourism and hospitality, presenting a complete, increasing and continuously editable framework for future research. Thus, tourism BD analysis provides significant challenges in the relationship between businesses and their customers, offering superior buying and support experiences with a view to enhancing customer choice and expectations.