Tourism Disaster Management through Chatbots as an Alternative Tool of Communication
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.34624/rtd.v41i0.30195 |
Resumo: | Information and Communication Technologies has revolutionized the hospitality and tourism sector. Artificial Intelligence (AI) and Machine Learning Technology (MLT) are widely popular and can be of assistance to reduce the impact of disasters by providing accurate, brief, and updated information. It also facilitates predicting and executing plans in managing crises to lessen losses. Chatbot can store the data and assist during Disaster Management and Risk Reduction. Dealing with an uncontrollable event in the tourism industry is challenging. AI-powered Chatbots support reporting emergencies and help access information for making decisions in the tourism industry. AI chatbots in disaster management improve the perceptive of all phases of disasters and are reliable for safety aspects in tourism. They may be readily available and accessible to the users and responders to handle emergencies in tourism. This conceptual study aims to explore the existing chatbots in tourism and disaster management sector. SWOC analysis is carried out to identify tourism chatbots' strengths, weaknesses, opportunities, and challenges to do further research in developing chatbots in tourism combining disaster management elements. |
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Tourism Disaster Management through Chatbots as an Alternative Tool of CommunicationInformation and Communication Technologies has revolutionized the hospitality and tourism sector. Artificial Intelligence (AI) and Machine Learning Technology (MLT) are widely popular and can be of assistance to reduce the impact of disasters by providing accurate, brief, and updated information. It also facilitates predicting and executing plans in managing crises to lessen losses. Chatbot can store the data and assist during Disaster Management and Risk Reduction. Dealing with an uncontrollable event in the tourism industry is challenging. AI-powered Chatbots support reporting emergencies and help access information for making decisions in the tourism industry. AI chatbots in disaster management improve the perceptive of all phases of disasters and are reliable for safety aspects in tourism. They may be readily available and accessible to the users and responders to handle emergencies in tourism. This conceptual study aims to explore the existing chatbots in tourism and disaster management sector. SWOC analysis is carried out to identify tourism chatbots' strengths, weaknesses, opportunities, and challenges to do further research in developing chatbots in tourism combining disaster management elements.Departamento de Economia, Gestão, Engenharia Industrial e Turismo da Universidade de Aveiro2023-05-26info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.34624/rtd.v41i0.30195https://doi.org/10.34624/rtd.v41i0.30195Journal of Tourism & Development; Vol 41 (2023); 349-367Revista Turismo & Desenvolvimento; vol. 41 (2023); 349-3672182-14531645-9261reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttps://proa.ua.pt/index.php/rtd/article/view/30195https://proa.ua.pt/index.php/rtd/article/view/30195/22122Direitos de Autor (c) 2023 Revista Turismo & Desenvolvimentoinfo:eu-repo/semantics/openAccessAbraham, Sharon TreesaThazhathethil, Bindu Vazhakkatte2023-06-01T11:15:15Zoai:proa.ua.pt:article/30195Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:59:35.633254Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Tourism Disaster Management through Chatbots as an Alternative Tool of Communication |
title |
Tourism Disaster Management through Chatbots as an Alternative Tool of Communication |
spellingShingle |
Tourism Disaster Management through Chatbots as an Alternative Tool of Communication Abraham, Sharon Treesa |
title_short |
Tourism Disaster Management through Chatbots as an Alternative Tool of Communication |
title_full |
Tourism Disaster Management through Chatbots as an Alternative Tool of Communication |
title_fullStr |
Tourism Disaster Management through Chatbots as an Alternative Tool of Communication |
title_full_unstemmed |
Tourism Disaster Management through Chatbots as an Alternative Tool of Communication |
title_sort |
Tourism Disaster Management through Chatbots as an Alternative Tool of Communication |
author |
Abraham, Sharon Treesa |
author_facet |
Abraham, Sharon Treesa Thazhathethil, Bindu Vazhakkatte |
author_role |
author |
author2 |
Thazhathethil, Bindu Vazhakkatte |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Abraham, Sharon Treesa Thazhathethil, Bindu Vazhakkatte |
description |
Information and Communication Technologies has revolutionized the hospitality and tourism sector. Artificial Intelligence (AI) and Machine Learning Technology (MLT) are widely popular and can be of assistance to reduce the impact of disasters by providing accurate, brief, and updated information. It also facilitates predicting and executing plans in managing crises to lessen losses. Chatbot can store the data and assist during Disaster Management and Risk Reduction. Dealing with an uncontrollable event in the tourism industry is challenging. AI-powered Chatbots support reporting emergencies and help access information for making decisions in the tourism industry. AI chatbots in disaster management improve the perceptive of all phases of disasters and are reliable for safety aspects in tourism. They may be readily available and accessible to the users and responders to handle emergencies in tourism. This conceptual study aims to explore the existing chatbots in tourism and disaster management sector. SWOC analysis is carried out to identify tourism chatbots' strengths, weaknesses, opportunities, and challenges to do further research in developing chatbots in tourism combining disaster management elements. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-05-26 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://doi.org/10.34624/rtd.v41i0.30195 https://doi.org/10.34624/rtd.v41i0.30195 |
url |
https://doi.org/10.34624/rtd.v41i0.30195 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://proa.ua.pt/index.php/rtd/article/view/30195 https://proa.ua.pt/index.php/rtd/article/view/30195/22122 |
dc.rights.driver.fl_str_mv |
Direitos de Autor (c) 2023 Revista Turismo & Desenvolvimento info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Direitos de Autor (c) 2023 Revista Turismo & Desenvolvimento |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Departamento de Economia, Gestão, Engenharia Industrial e Turismo da Universidade de Aveiro |
publisher.none.fl_str_mv |
Departamento de Economia, Gestão, Engenharia Industrial e Turismo da Universidade de Aveiro |
dc.source.none.fl_str_mv |
Journal of Tourism & Development; Vol 41 (2023); 349-367 Revista Turismo & Desenvolvimento; vol. 41 (2023); 349-367 2182-1453 1645-9261 reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799131665204772864 |