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Business intelligence and big data in hospitality and tourism: a systematic literature review

Marcello Mariani (Henley Business School, University of Reading, Reading, UK)
Rodolfo Baggio (Dondena Center for Research on Social Dynamics and Public Policy, Bocconi University, Milan, Italy and National Research Tomsk Polytechnic University, Tomsk, Russia)
Matthias Fuchs (Mid-Sweden University, Östersund, Sweden)
Wolfram Höepken (University of Applied Sciences Ravensburg-Weingarten, Weingarten, Germany)

International Journal of Contemporary Hospitality Management

ISSN: 0959-6119

Article publication date: 31 October 2018

Issue publication date: 21 November 2018




This paper aims to examine 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.


The study consists of a systematic quantitative literature review of academic articles indexed on the Scopus and Web of Science databases. The articles were reviewed based on the following features: research topic; conceptual and theoretical characterization; sources of data; type of data and size; data collection methods; data analysis techniques; and data reporting and visualization.


Findings indicate an increase in hospitality and tourism management literature applying analytical techniques to large quantities of data. However, this research field is fairly fragmented in scope and limited in methodologies and displays several gaps. A conceptual framework that helps to identify critical business problems and links the domains of business intelligence and big data to tourism and hospitality management and development is missing. Moreover, epistemological dilemmas and consequences for theory development of big data-driven knowledge are still a terra incognita. Last, despite calls for more integration of management and data science, cross-disciplinary collaborations with computer and data scientists are rather episodic and related to specific types of work and research.

Research limitations/implications

This work is based on academic articles published before 2017; hence, scientific outputs published after the moment of writing have not been included. A rich research agenda is designed.


This study contributes to explore in depth and systematically to what extent hospitality and tourism scholars are aware of and working intendedly on business intelligence and big data. To the best of the authors’ knowledge, it is the first systematic literature review within hospitality and tourism research dealing with business intelligence and big data.



Mariani, M., Baggio, R., Fuchs, M. and Höepken, W. (2018), "Business intelligence and big data in hospitality and tourism: a systematic literature review", International Journal of Contemporary Hospitality Management, Vol. 30 No. 12, pp. 3514-3554.



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