Data science for hospitality and tourism

Abstract

Purpose

This paper aims to embrace the challenge of performing a state-of-the-art scientific literature analysis in data science for hospitality and tourism. This is important because relatively little contemporary analysis has been published.

Design/methodology/approach

Data on over 800 publications were collected from the Scopus database and analyzed by the differing types of publications, evolution of publications across time, top publishers and outlets, publications per area and per topic, top keywords used, most cited papers and most productive authors.

Findings

Conclusions are drawn and some suggestions are offered regarding topics that are likely to provide opportunities for future research.

Originality/value

This paper identifies the need for analysis on state-of-the-art academic research published to-date on the application of methods and techniques relating to data science in hospitality and tourism.

Citation

Rita, P., Rita, N. and Oliveira, C. (2018), "Data science for hospitality and tourism", Worldwide Hospitality and Tourism Themes, Vol. 10 No. 6, pp. 717-725. https://doi.org/10.1108/WHATT-07-2018-0050