Business Intelligence and Big Data in Hospitality and Tourism: A Systematic Literature Review Marcello M. Mariani Rodolfo Baggio Henley Business School University of Reading, Reading, UK Master in Economics and Tourism Bocconi University, Milan, Italy and m.mariani@henley.ac.uk Tomsk Polytechnic University Tomsk, Russia rodolfo.baggio@unibocconi.it Matthias Fuchs Wolfram H?pken Department of Tourism Studies and Geography Mid-Sweden University, Sweden and Department of Business Informatics University of Applied Sciences Ravensburg- Weingarten, Weingarten, Germany The European Tourism Research Institute (ETOUR), Sweden wolfram.hopken@hs-weingarten.de matthias.fuchs@miun.se International Journal of Contemporary Hospitality Management, 2018 doi: 10.1108/IJCHM-07-2017-0461 [forthcoming] Abstract Purpose – This study examines the extent to which Business Intelligence and Big Data feature within academic research in hospitality and tourism published until 2016, by identifying research gaps and future developments and designing an agenda for future research. Design/methodology/approach – The study consists of a systematic quantitative l