How to exploit Big Social Data in the Covid-19 pandemic: the case of the Italian tourism industry

From March 2020, restrictive measures have been taken to limit the Covid-19 pandemic, thus impacting and hugely affecting the tourism industry. In this new scenario, tourism destination managers and stakeholders need to look ahead to the future, trying to wisely react to overcome this crisis. This p...

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Detalles Bibliográficos
Autores principales: Solazzo, Gianluca, Maruccia, Ylenia, Ndou, Valentina, Del Vecchio, Pasquale
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Empirical Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8917329/
http://dx.doi.org/10.1007/s11628-022-00487-8
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author Solazzo, Gianluca
Maruccia, Ylenia
Ndou, Valentina
Del Vecchio, Pasquale
author_facet Solazzo, Gianluca
Maruccia, Ylenia
Ndou, Valentina
Del Vecchio, Pasquale
author_sort Solazzo, Gianluca
collection PubMed
description From March 2020, restrictive measures have been taken to limit the Covid-19 pandemic, thus impacting and hugely affecting the tourism industry. In this new scenario, tourism destination managers and stakeholders need to look ahead to the future, trying to wisely react to overcome this crisis. This paper aims at demonstrating how a Smart Tourism Destination can tackle the consequences of the Covid-19 pandemic using smart and digital technologies such as Big Data and Analytics. In particular, the monitoring of Italian public debates on social media allowed discovering knowledge from unstructured data that provide valuable insights for destination stakeholders and decision-makers.
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spelling pubmed-89173292022-03-14 How to exploit Big Social Data in the Covid-19 pandemic: the case of the Italian tourism industry Solazzo, Gianluca Maruccia, Ylenia Ndou, Valentina Del Vecchio, Pasquale Serv Bus Empirical Article From March 2020, restrictive measures have been taken to limit the Covid-19 pandemic, thus impacting and hugely affecting the tourism industry. In this new scenario, tourism destination managers and stakeholders need to look ahead to the future, trying to wisely react to overcome this crisis. This paper aims at demonstrating how a Smart Tourism Destination can tackle the consequences of the Covid-19 pandemic using smart and digital technologies such as Big Data and Analytics. In particular, the monitoring of Italian public debates on social media allowed discovering knowledge from unstructured data that provide valuable insights for destination stakeholders and decision-makers. Springer Berlin Heidelberg 2022-03-12 2022 /pmc/articles/PMC8917329/ http://dx.doi.org/10.1007/s11628-022-00487-8 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Empirical Article
Solazzo, Gianluca
Maruccia, Ylenia
Ndou, Valentina
Del Vecchio, Pasquale
How to exploit Big Social Data in the Covid-19 pandemic: the case of the Italian tourism industry
title How to exploit Big Social Data in the Covid-19 pandemic: the case of the Italian tourism industry
title_full How to exploit Big Social Data in the Covid-19 pandemic: the case of the Italian tourism industry
title_fullStr How to exploit Big Social Data in the Covid-19 pandemic: the case of the Italian tourism industry
title_full_unstemmed How to exploit Big Social Data in the Covid-19 pandemic: the case of the Italian tourism industry
title_short How to exploit Big Social Data in the Covid-19 pandemic: the case of the Italian tourism industry
title_sort how to exploit big social data in the covid-19 pandemic: the case of the italian tourism industry
topic Empirical Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8917329/
http://dx.doi.org/10.1007/s11628-022-00487-8
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