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Intersection of Data Science and Smart Destinations: A Systematic Review

This systematic review adopts a formal and structured approach to review the intersection of data science and smart tourism destinations in terms of components found in previous research. The study period corresponds to 1995–2021 focusing the analysis mainly on the last years (2015–2021), identifyin...

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Autores principales: Aguirre Montero, Alexander, López-Sánchez, José Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8357985/
https://www.ncbi.nlm.nih.gov/pubmed/34393952
http://dx.doi.org/10.3389/fpsyg.2021.712610
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author Aguirre Montero, Alexander
López-Sánchez, José Antonio
author_facet Aguirre Montero, Alexander
López-Sánchez, José Antonio
author_sort Aguirre Montero, Alexander
collection PubMed
description This systematic review adopts a formal and structured approach to review the intersection of data science and smart tourism destinations in terms of components found in previous research. The study period corresponds to 1995–2021 focusing the analysis mainly on the last years (2015–2021), identifying and characterizing the current trends on this research topic. The review comprises documentary research based on bibliometric and conceptual analysis, using the VOSviewer and SciMAT software to analyze articles from the Web of Science database. There is growing interest in this research topic, with more than 300 articles published annually. Data science technologies on which current smart destinations research is based include big data, smart data, data analytics, social media, cloud computing, the internet of things (IoT), smart card data, geographic information system (GIS) technologies, open data, artificial intelligence, and machine learning. Critical research areas for data science techniques and technologies in smart destinations are public tourism marketing, mobility-accessibility, and sustainability. Data analysis techniques and technologies face unprecedented challenges and opportunities post-coronavirus disease-2019 (COVID-19) to build on the huge amount of data and a new tourism model that is more sustainable, smarter, and safer than those previously implemented.
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spelling pubmed-83579852021-08-13 Intersection of Data Science and Smart Destinations: A Systematic Review Aguirre Montero, Alexander López-Sánchez, José Antonio Front Psychol Psychology This systematic review adopts a formal and structured approach to review the intersection of data science and smart tourism destinations in terms of components found in previous research. The study period corresponds to 1995–2021 focusing the analysis mainly on the last years (2015–2021), identifying and characterizing the current trends on this research topic. The review comprises documentary research based on bibliometric and conceptual analysis, using the VOSviewer and SciMAT software to analyze articles from the Web of Science database. There is growing interest in this research topic, with more than 300 articles published annually. Data science technologies on which current smart destinations research is based include big data, smart data, data analytics, social media, cloud computing, the internet of things (IoT), smart card data, geographic information system (GIS) technologies, open data, artificial intelligence, and machine learning. Critical research areas for data science techniques and technologies in smart destinations are public tourism marketing, mobility-accessibility, and sustainability. Data analysis techniques and technologies face unprecedented challenges and opportunities post-coronavirus disease-2019 (COVID-19) to build on the huge amount of data and a new tourism model that is more sustainable, smarter, and safer than those previously implemented. Frontiers Media S.A. 2021-07-29 /pmc/articles/PMC8357985/ /pubmed/34393952 http://dx.doi.org/10.3389/fpsyg.2021.712610 Text en Copyright © 2021 Aguirre Montero and López-Sánchez. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Aguirre Montero, Alexander
López-Sánchez, José Antonio
Intersection of Data Science and Smart Destinations: A Systematic Review
title Intersection of Data Science and Smart Destinations: A Systematic Review
title_full Intersection of Data Science and Smart Destinations: A Systematic Review
title_fullStr Intersection of Data Science and Smart Destinations: A Systematic Review
title_full_unstemmed Intersection of Data Science and Smart Destinations: A Systematic Review
title_short Intersection of Data Science and Smart Destinations: A Systematic Review
title_sort intersection of data science and smart destinations: a systematic review
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8357985/
https://www.ncbi.nlm.nih.gov/pubmed/34393952
http://dx.doi.org/10.3389/fpsyg.2021.712610
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