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A plenary free individual traveler life cycle for assessment of adoption intelligent travel assistant

This study aims to investigate antecedent variables and IT Processes being suitable factors for ultimately measuring and assessing feature values of an Intelligent Travel Assistant (ITA) related to the actual use of the Free Individual Traveler (FIT). Accordingly, the technology acceptance model (TA...

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Detalles Bibliográficos
Autores principales: Phaosathianphan, Noppadol, Leelasantitham, Adisorn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7381707/
https://www.ncbi.nlm.nih.gov/pubmed/32728637
http://dx.doi.org/10.1016/j.heliyon.2020.e04428
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author Phaosathianphan, Noppadol
Leelasantitham, Adisorn
author_facet Phaosathianphan, Noppadol
Leelasantitham, Adisorn
author_sort Phaosathianphan, Noppadol
collection PubMed
description This study aims to investigate antecedent variables and IT Processes being suitable factors for ultimately measuring and assessing feature values of an Intelligent Travel Assistant (ITA) related to the actual use of the Free Individual Traveler (FIT). Accordingly, the technology acceptance model (TAM) is extended with the essential factors of travel and tourism (i.e., Quality and Safety), and a plenary FIT life cycle (i.e., Pre-Trip, On-Route, On-Site, and Post-Trip). The data collection is gathered from 382 FITs in Thailand by the online questionnaire through famous social media, i.e., Facebook and Line. Hence, the collected data are analyzed statistically by PASW Statistics and SmartPLS. Therefore, the distinguished finding of this study is obtained from the useful assessment model, which is decided to usage for FITs and investment of ITA operators for travel and tourism firms.
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spelling pubmed-73817072020-07-28 A plenary free individual traveler life cycle for assessment of adoption intelligent travel assistant Phaosathianphan, Noppadol Leelasantitham, Adisorn Heliyon Article This study aims to investigate antecedent variables and IT Processes being suitable factors for ultimately measuring and assessing feature values of an Intelligent Travel Assistant (ITA) related to the actual use of the Free Individual Traveler (FIT). Accordingly, the technology acceptance model (TAM) is extended with the essential factors of travel and tourism (i.e., Quality and Safety), and a plenary FIT life cycle (i.e., Pre-Trip, On-Route, On-Site, and Post-Trip). The data collection is gathered from 382 FITs in Thailand by the online questionnaire through famous social media, i.e., Facebook and Line. Hence, the collected data are analyzed statistically by PASW Statistics and SmartPLS. Therefore, the distinguished finding of this study is obtained from the useful assessment model, which is decided to usage for FITs and investment of ITA operators for travel and tourism firms. Elsevier 2020-07-22 /pmc/articles/PMC7381707/ /pubmed/32728637 http://dx.doi.org/10.1016/j.heliyon.2020.e04428 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Phaosathianphan, Noppadol
Leelasantitham, Adisorn
A plenary free individual traveler life cycle for assessment of adoption intelligent travel assistant
title A plenary free individual traveler life cycle for assessment of adoption intelligent travel assistant
title_full A plenary free individual traveler life cycle for assessment of adoption intelligent travel assistant
title_fullStr A plenary free individual traveler life cycle for assessment of adoption intelligent travel assistant
title_full_unstemmed A plenary free individual traveler life cycle for assessment of adoption intelligent travel assistant
title_short A plenary free individual traveler life cycle for assessment of adoption intelligent travel assistant
title_sort plenary free individual traveler life cycle for assessment of adoption intelligent travel assistant
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7381707/
https://www.ncbi.nlm.nih.gov/pubmed/32728637
http://dx.doi.org/10.1016/j.heliyon.2020.e04428
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