Obtaining Data Values from Tourist Preferences
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.3/6210 |
Resumo: | Satisfied customers are the main sustainability factor for the viability of any activity, and tourism has increasing relevance to the global economy and the economic development of many regions. In order to create better matches between tourist demands and preferences and the local supply, an understanding of tourists as decision makers is necessary. The aim of this work is to introduce a mathematical model that explains the decision-making process of tourists, other consumers, and tourism business managers. We used a mathematical model, taking into consideration the preferences of individuals and their strengths during the exploration and use of tourism resources. The integration of preferences into an IT tool provided extra support to the decisions of tourists and allowed better choices to be made in the execution of travel plans. In addition, the model can be used by resource managers. Understanding how tourists make decisions in each different situation can improve the allocation of available resources to satisfy their expectations. The proposed model is also adaptable to situations where it is necessary to decide among different options with a high degree of complexity. |
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Obtaining Data Values from Tourist PreferencesComplex NetworksConsumer SatisfactionDecision-makingFuzzy MathematicsSustainable TourismTourist PreferencesSatisfied customers are the main sustainability factor for the viability of any activity, and tourism has increasing relevance to the global economy and the economic development of many regions. In order to create better matches between tourist demands and preferences and the local supply, an understanding of tourists as decision makers is necessary. The aim of this work is to introduce a mathematical model that explains the decision-making process of tourists, other consumers, and tourism business managers. We used a mathematical model, taking into consideration the preferences of individuals and their strengths during the exploration and use of tourism resources. The integration of preferences into an IT tool provided extra support to the decisions of tourists and allowed better choices to be made in the execution of travel plans. In addition, the model can be used by resource managers. Understanding how tourists make decisions in each different situation can improve the allocation of available resources to satisfy their expectations. The proposed model is also adaptable to situations where it is necessary to decide among different options with a high degree of complexity.This work was supported by FCT, the Portuguese national funding agency for science, research and technology, Portugal. Projects UIDB/04674/2021. TRENMO S.A.MDPIRepositório da Universidade dos AçoresFrias, Armindo Dias da SilvaRaskova, ErzaCosta, ÁlvaroCabral, João2022-02-25T10:34:26Z2021-09-142021-09-14T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.3/6210engFrias, A.; Raskova, E.; Costa, Á.; Cabral, J. (2021). Obtaining Data Values from Tourist Preferences. “Sustainability”, 13(18), 10276. https://doi.org/10.3390/su13181027610.3390/su1318102762071-1050000701717400001info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-12-20T14:34:34Zoai:repositorio.uac.pt:10400.3/6210Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:28:18.720579Repositório 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 |
Obtaining Data Values from Tourist Preferences |
title |
Obtaining Data Values from Tourist Preferences |
spellingShingle |
Obtaining Data Values from Tourist Preferences Frias, Armindo Dias da Silva Complex Networks Consumer Satisfaction Decision-making Fuzzy Mathematics Sustainable Tourism Tourist Preferences |
title_short |
Obtaining Data Values from Tourist Preferences |
title_full |
Obtaining Data Values from Tourist Preferences |
title_fullStr |
Obtaining Data Values from Tourist Preferences |
title_full_unstemmed |
Obtaining Data Values from Tourist Preferences |
title_sort |
Obtaining Data Values from Tourist Preferences |
author |
Frias, Armindo Dias da Silva |
author_facet |
Frias, Armindo Dias da Silva Raskova, Erza Costa, Álvaro Cabral, João |
author_role |
author |
author2 |
Raskova, Erza Costa, Álvaro Cabral, João |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade dos Açores |
dc.contributor.author.fl_str_mv |
Frias, Armindo Dias da Silva Raskova, Erza Costa, Álvaro Cabral, João |
dc.subject.por.fl_str_mv |
Complex Networks Consumer Satisfaction Decision-making Fuzzy Mathematics Sustainable Tourism Tourist Preferences |
topic |
Complex Networks Consumer Satisfaction Decision-making Fuzzy Mathematics Sustainable Tourism Tourist Preferences |
description |
Satisfied customers are the main sustainability factor for the viability of any activity, and tourism has increasing relevance to the global economy and the economic development of many regions. In order to create better matches between tourist demands and preferences and the local supply, an understanding of tourists as decision makers is necessary. The aim of this work is to introduce a mathematical model that explains the decision-making process of tourists, other consumers, and tourism business managers. We used a mathematical model, taking into consideration the preferences of individuals and their strengths during the exploration and use of tourism resources. The integration of preferences into an IT tool provided extra support to the decisions of tourists and allowed better choices to be made in the execution of travel plans. In addition, the model can be used by resource managers. Understanding how tourists make decisions in each different situation can improve the allocation of available resources to satisfy their expectations. The proposed model is also adaptable to situations where it is necessary to decide among different options with a high degree of complexity. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-09-14 2021-09-14T00:00:00Z 2022-02-25T10:34:26Z |
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 |
http://hdl.handle.net/10400.3/6210 |
url |
http://hdl.handle.net/10400.3/6210 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Frias, A.; Raskova, E.; Costa, Á.; Cabral, J. (2021). Obtaining Data Values from Tourist Preferences. “Sustainability”, 13(18), 10276. https://doi.org/10.3390/su131810276 10.3390/su131810276 2071-1050 000701717400001 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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 |
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1799130740877688832 |