Digital content marketing as an influencer in the travel planning process: An analysis from the extended Technology Acceptance Model

Detalhes bibliográficos
Autor(a) principal: de Souza, Jackson
Data de Publicação: 2022
Outros Autores: Mendes Filho, Luiz, Marques Júnior, Sérgio
Tipo de documento: Artigo
Idioma: por
eng
Título da fonte: Marketing & Tourism Review
Texto Completo: https://revistas.face.ufmg.br/index.php/mtr/article/view/7357
Resumo: Amid the constant changes in marketing to develop strategies that reach such a diverse consumer audience, digital content marketing (DCM) emerges, in the market and in academic literature, as an innovative technique for the dissemination of goods and services, especially because traditional advertising no performs its role as before, and the consumer is often aware of the “intrusive role” it plays. This study aims to add knowledge regarding the impact of DCM on tourist consumer behavior, more specifically as a technological tool to assist in travel planning. Then, an exploratory-descriptive study was developed, with quantitative results, from an experimental research with possible travelers to two Brazilian destinations: Morro de São Paulo and Ilha de Boipeba/BA. Thus, an extended version of the Technology Acceptance Model – TAM, was used for the analysis. The hypotheses were tested through structural equation modeling in the AMOS 22 software. The main dimensions that impact the attitude in using the DCM are “perceived usefulness”, from the original model, and “perceived convenience”, from the proposed extension. The positive relationship between “attitude” and “intention” to use the DCM was also verified, which are configured as the main dependent dimensions of the model. Therefore, it can be inferred that the model proposed in this research considerably represents the factors that influence the attitude and intention of users to use DCM materials to plan trips to tourist destinations. 
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spelling Digital content marketing as an influencer in the travel planning process: An analysis from the extended Technology Acceptance ModelMarketing de conteúdo digital como influenciador no processo de planejamento de viagens: Uma análise a partir do Technology Acceptance Model estendidomarketing de contéúdo digitalturismotechnology acceptance modelplanejamento de viagenstechnology acceptance modeldigital content marketingtravel planningtourismAmid the constant changes in marketing to develop strategies that reach such a diverse consumer audience, digital content marketing (DCM) emerges, in the market and in academic literature, as an innovative technique for the dissemination of goods and services, especially because traditional advertising no performs its role as before, and the consumer is often aware of the “intrusive role” it plays. This study aims to add knowledge regarding the impact of DCM on tourist consumer behavior, more specifically as a technological tool to assist in travel planning. Then, an exploratory-descriptive study was developed, with quantitative results, from an experimental research with possible travelers to two Brazilian destinations: Morro de São Paulo and Ilha de Boipeba/BA. Thus, an extended version of the Technology Acceptance Model – TAM, was used for the analysis. The hypotheses were tested through structural equation modeling in the AMOS 22 software. The main dimensions that impact the attitude in using the DCM are “perceived usefulness”, from the original model, and “perceived convenience”, from the proposed extension. The positive relationship between “attitude” and “intention” to use the DCM was also verified, which are configured as the main dependent dimensions of the model. Therefore, it can be inferred that the model proposed in this research considerably represents the factors that influence the attitude and intention of users to use DCM materials to plan trips to tourist destinations. Em meio às constantes transformações do marketing para desenvolver estratégias que cheguem ao tão diversificado público consumidor, o marketing de conteúdo digital surge, no mercado e na literatura acadêmica, como uma técnica inovadora para a divulgação de bens e serviços, especialmente porque a publicidade tradicional já não cumpre seu papel como antes, e o consumidor, muitas vezes, possui consciência do “papel intrusivo” que ela desempenha. O presente estudo visa agregar conhecimento no que se refere ao impacto do marketing de conteúdo digital (MCD) no comportamento do consumidor turístico, mais especificamente enquanto uma ferramenta tecnológica para auxiliar no planejamento de viagens. Para tanto, foi desenvolvido um estudo exploratório-descritivo, com resultados quantitativos, a partir de uma pesquisa experimental com possíveis viajantes a dois destinos brasileiros: Morro de São Paulo e Ilha de Boipeba/BA. Com isso, foi utilizada, para a análise, uma versão estendida do Technology Acceptance Model – TAM. As hipóteses foram testadas por meio da modelagem de equações estruturais, no software AMOS 22. Como principais dimensões que impactam a atitude em utilizar o MCD estão a “utilidade percebida”, proveniente do modelo original, e a “conveniência percebida”, proveniente da extensão proposta. Também foi verificada a relação positiva entre “atitude” e “intenção” de utilizar o MCD, as quais se configuram como as principais dimensões dependentes do modelo. Portanto, pode-se inferir que o modelo proposto na presente pesquisa representa consideravelmente os fatores que influenciam na atitude e intenção de usuários utilizarem materiais de MCD para planejarem viagens para destinos turísticos. Federal University of Minas Gerais2022-12-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://revistas.face.ufmg.br/index.php/mtr/article/view/735710.29149/mtr.v8i2.7357Marketing & Tourism Review; v. 8 n. 2 (2022): v.8, n. 2, 2022Marketing & Tourism Review; Vol. 8 No. 2 (2022): v.8, n. 2, 20222525-81762525-817610.29149/mtr.v8i2reponame:Marketing & Tourism Reviewinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGporenghttps://revistas.face.ufmg.br/index.php/mtr/article/view/7357/3852https://revistas.face.ufmg.br/index.php/mtr/article/view/7357/3853Copyright (c) 2022 Jackson de Souza, Luiz Mendes Filho, Sérgio Marques Júniorhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessde Souza, JacksonMendes Filho, LuizMarques Júnior, Sérgio2022-12-30T20:30:31Zoai:ojs.pkp.sfu.ca:article/7357Revistahttps://revistas.face.ufmg.br/index.php/mtrPUBhttps://revistas.face.ufmg.br/index.php/mtr/oaimkt.tourism.review@gmail.com||mg.ufmg@gmail.com2525-81762525-8176opendoar:2022-12-30T20:30:31Marketing & Tourism Review - Universidade Federal de Minas Gerais (UFMG)false
dc.title.none.fl_str_mv Digital content marketing as an influencer in the travel planning process: An analysis from the extended Technology Acceptance Model
Marketing de conteúdo digital como influenciador no processo de planejamento de viagens: Uma análise a partir do Technology Acceptance Model estendido
title Digital content marketing as an influencer in the travel planning process: An analysis from the extended Technology Acceptance Model
spellingShingle Digital content marketing as an influencer in the travel planning process: An analysis from the extended Technology Acceptance Model
de Souza, Jackson
marketing de contéúdo digital
turismo
technology acceptance model
planejamento de viagens
technology acceptance model
digital content marketing
travel planning
tourism
title_short Digital content marketing as an influencer in the travel planning process: An analysis from the extended Technology Acceptance Model
title_full Digital content marketing as an influencer in the travel planning process: An analysis from the extended Technology Acceptance Model
title_fullStr Digital content marketing as an influencer in the travel planning process: An analysis from the extended Technology Acceptance Model
title_full_unstemmed Digital content marketing as an influencer in the travel planning process: An analysis from the extended Technology Acceptance Model
title_sort Digital content marketing as an influencer in the travel planning process: An analysis from the extended Technology Acceptance Model
author de Souza, Jackson
author_facet de Souza, Jackson
Mendes Filho, Luiz
Marques Júnior, Sérgio
author_role author
author2 Mendes Filho, Luiz
Marques Júnior, Sérgio
author2_role author
author
dc.contributor.author.fl_str_mv de Souza, Jackson
Mendes Filho, Luiz
Marques Júnior, Sérgio
dc.subject.por.fl_str_mv marketing de contéúdo digital
turismo
technology acceptance model
planejamento de viagens
technology acceptance model
digital content marketing
travel planning
tourism
topic marketing de contéúdo digital
turismo
technology acceptance model
planejamento de viagens
technology acceptance model
digital content marketing
travel planning
tourism
description Amid the constant changes in marketing to develop strategies that reach such a diverse consumer audience, digital content marketing (DCM) emerges, in the market and in academic literature, as an innovative technique for the dissemination of goods and services, especially because traditional advertising no performs its role as before, and the consumer is often aware of the “intrusive role” it plays. This study aims to add knowledge regarding the impact of DCM on tourist consumer behavior, more specifically as a technological tool to assist in travel planning. Then, an exploratory-descriptive study was developed, with quantitative results, from an experimental research with possible travelers to two Brazilian destinations: Morro de São Paulo and Ilha de Boipeba/BA. Thus, an extended version of the Technology Acceptance Model – TAM, was used for the analysis. The hypotheses were tested through structural equation modeling in the AMOS 22 software. The main dimensions that impact the attitude in using the DCM are “perceived usefulness”, from the original model, and “perceived convenience”, from the proposed extension. The positive relationship between “attitude” and “intention” to use the DCM was also verified, which are configured as the main dependent dimensions of the model. Therefore, it can be inferred that the model proposed in this research considerably represents the factors that influence the attitude and intention of users to use DCM materials to plan trips to tourist destinations. 
publishDate 2022
dc.date.none.fl_str_mv 2022-12-30
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.face.ufmg.br/index.php/mtr/article/view/7357
10.29149/mtr.v8i2.7357
url https://revistas.face.ufmg.br/index.php/mtr/article/view/7357
identifier_str_mv 10.29149/mtr.v8i2.7357
dc.language.iso.fl_str_mv por
eng
language por
eng
dc.relation.none.fl_str_mv https://revistas.face.ufmg.br/index.php/mtr/article/view/7357/3852
https://revistas.face.ufmg.br/index.php/mtr/article/view/7357/3853
dc.rights.driver.fl_str_mv Copyright (c) 2022 Jackson de Souza, Luiz Mendes Filho, Sérgio Marques Júnior
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Jackson de Souza, Luiz Mendes Filho, Sérgio Marques Júnior
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Federal University of Minas Gerais
publisher.none.fl_str_mv Federal University of Minas Gerais
dc.source.none.fl_str_mv Marketing & Tourism Review; v. 8 n. 2 (2022): v.8, n. 2, 2022
Marketing & Tourism Review; Vol. 8 No. 2 (2022): v.8, n. 2, 2022
2525-8176
2525-8176
10.29149/mtr.v8i2
reponame:Marketing & Tourism Review
instname:Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
instname_str Universidade Federal de Minas Gerais (UFMG)
instacron_str UFMG
institution UFMG
reponame_str Marketing & Tourism Review
collection Marketing & Tourism Review
repository.name.fl_str_mv Marketing & Tourism Review - Universidade Federal de Minas Gerais (UFMG)
repository.mail.fl_str_mv mkt.tourism.review@gmail.com||mg.ufmg@gmail.com
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