Big Data for the Management of Smart Tourism Destionations:

Analysis of tools available in Brazil

Authors

Keywords:

Big Data; Smart Tourist Destination; Information and Communication Technology; Tourism Monitoring; Tourism Observatory

Abstract

The evolution of ICTs has enabled the development of intelligent techniques, processes, and operations. In tourism this is evident in the concept of Smart Tourist Destination (STD), which has technology as one of its foundations. Among the new technological resources applied to STD, Big Data stands out for analyzing data produced with great volume, variety, and speed. The research identified thirteen tools based on Big Data with potential use for STD management in Brazil. Based on this, a bibliographic review and document analysis of their dissemination materials characterized their channels for obtaining data, potential indicators generated and their conditions of access. As a main result it presents a systematization of data about them that helps managers of tourist destinations and Brazilian Tourism Observatories to better understand their characteristics as well as their suitability to the profile and needs of each destination.

Author Biographies

Michel Bregolin, Universidade de Caxias do Sul (UCS)

PHD in Administration from the Doctoral Program in Administration in Broad Association (PUCRS/UCS), Master in Tourism (UCS), Specialist in Management and Sustainable Development of Tourism (UCS), Specialist in University Management (UCS), Bachelor in Tourism (UCS). Held Improvement in Environmental Education at the University of Brasilia and Ministry of Environment (UNB / MMA), Improvement in Land Planning by Magister in Management and Environmental Planning at the Universidad de Chile (UCHILE), Chile and Sandwich Doctoral Internship with the CERMOSEM Center at the Université Grenoble Alpes (UGA), France, as Scholar CAPES / PDSE (Process 88881.134063/2016-01). Professor of the Graduate Program in Tourism and Hospitality (PPGTURH) and undergraduate courses in the area of Hospitality and Tourism at the University of Caxias do Sul (UCS). Currently he is the Coordinator of the Innovation and Development Center (NID) ODITT (Observation, Development and Touristic and Territorial Intelligence). Integrating Member of the winning team of the Inov24hs challenge of Les Doctoriales 2015 and Integrating Member of the Advisory Commissions of the Tourism Area of ENADES 2015 and 2018. Articulator of the International Scientific Tourism Network in Brazil. For more information: www.inteligencia.tur.br

Matheus Dalsoto Smiderle, University of Caxias do Sul (UCS)

Bachelor's Degree in Tourism (UCS).

Balões na Capadócia, Turquia.

Downloads

Published

2022-08-31

How to Cite

Bregolin, M., & Smiderle, M. D. (2022). Big Data for the Management of Smart Tourism Destionations:: Analysis of tools available in Brazil. Revista Rosa Dos Ventos - Turismo E Hospitalidade, 14(3). Retrieved from https://sou.ucs.br/etc/revistas/index.php/rosadosventos/article/view/11618

Issue

Vol. 14 No. 3 (2022): Destination Management and Smart Destinations in Latin America and Asia

Section

Turismo Científico: Relações Ciências e Turismo no Continente Americano

License

Autores que publicam nesta revista concordam com os seguintes termos:

Os Autores mantém os direitos autorais e concedem à revista o direito de primeira publicação, com o trabalho simultaneamente licenciado sob a Creative Commons Attribution License que permitindo o compartilhamento do trabalho com reconhecimento da autoria do trabalho e publicação inicial nesta revista.

Autores têm autorização para assumir contratos adicionais separadamente, para distribuição não-exclusiva da versão do trabalho publicada nesta revista (ex.: publicar em repositório institucional ou como capítulo de livro), com reconhecimento de autoria e publicação inicial nesta revista.

Autores têm permissão e são estimulados a publicar e distribuir seu trabalho online (ex.: em repositórios institucionais ou na sua página pessoal) a qualquer ponto antes ou durante o processo editorial, já que isso pode gerar alterações produtivas, bem como aumentar o impacto e a citação do trabalho publicado (Veja O Efeito do Acesso Livre).