Análisis bibliométrico de big data en el entorno de la generación del conocimiento del turismo

Abstract

Digital tools provide a growing set of opportunities for organizations, especially in the tourism sector, by optimizing processes with the aim of extracting and transforming data into information for management and efficient organizational decision and for improving the chain of value, The study carries out a bibliometric analysis of the Scopus, Web of Science and Science Direct databases during the period from 2015 to the first quarter of 2019 in order to determine value contribution and the generation of knowledge in the tourism sector with Big Data tools. The study concludes that four well-differentiated topics: consumer analysis, tourist destinations, social network analytics and Big Data tools have wide ranging and varied effects on the tourism sector, with the analytics of Social Networks and Web reservations being the most important, due to the automation and substitution of the tourism intermediation subsector, and other exceptional dimensions.