Predicting Facebook Fans’ Continuance Intention to Interact with Facebook Hospitality Company Fan Pages
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://u3isjournal.isvouga.pt/index.php/ijmcnm/article/view/191 |
Resumo: | This study proposes and tests a new synthesized model by integrating the expectation-confirmation model, the technology acceptance model, one affective factor and two information-sharing factors to examine fans’ intention to continue interacting with hospitality company pages. Facebook fans from Taiwan are recruited as participants via an Internet survey. Data from 354 usable questionnaires were tested against the research model using the structural equation modeling approach. The results show that satisfaction has the most pronounced effect on fans’ continuance intention, followed sequentially by significant but weaker predictors: perceived enjoyment, perceived usefulness, and attitude. Meanwhile, expected relationships and altruism are both verified as having a notable influence on fans’ continuance intention by affecting their attitude toward company’s page. This study targeted Facebook fans of hospitality business pages. Therefore, a validation using another large sample gathered elsewhere is required to generalize the findings. The findings of this paper can give both page managers and academics an increased understanding of fans’ continuance intention to interact with company fan pages; the results may then be employed as a guideline to develop more appropriate business strategies for hospitality organizations by which to promote their products/services. The proposed model is a new synthesized model; little research has been done on examining Facebook fans’ continuance intention toward interacting with hospitality company fan pages. This study contributes to an understanding of the factors that influence fans’ intention to continue interacting with company fan pages through an empirical investigation, and especially its targeting of fans’ perception. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Predicting Facebook Fans’ Continuance Intention to Interact with Facebook Hospitality Company Fan PagesFacebook fans; Company pages; Synthesized-modelThis study proposes and tests a new synthesized model by integrating the expectation-confirmation model, the technology acceptance model, one affective factor and two information-sharing factors to examine fans’ intention to continue interacting with hospitality company pages. Facebook fans from Taiwan are recruited as participants via an Internet survey. Data from 354 usable questionnaires were tested against the research model using the structural equation modeling approach. The results show that satisfaction has the most pronounced effect on fans’ continuance intention, followed sequentially by significant but weaker predictors: perceived enjoyment, perceived usefulness, and attitude. Meanwhile, expected relationships and altruism are both verified as having a notable influence on fans’ continuance intention by affecting their attitude toward company’s page. This study targeted Facebook fans of hospitality business pages. Therefore, a validation using another large sample gathered elsewhere is required to generalize the findings. The findings of this paper can give both page managers and academics an increased understanding of fans’ continuance intention to interact with company fan pages; the results may then be employed as a guideline to develop more appropriate business strategies for hospitality organizations by which to promote their products/services. The proposed model is a new synthesized model; little research has been done on examining Facebook fans’ continuance intention toward interacting with hospitality company fan pages. This study contributes to an understanding of the factors that influence fans’ intention to continue interacting with company fan pages through an empirical investigation, and especially its targeting of fans’ perception.ISVOUGA - Instituto Superior de Entre Douro e Vouga2017-06-26T00:00:00Zjournal articleinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://u3isjournal.isvouga.pt/index.php/ijmcnm/article/view/191oai:u3isjournal.isvouga.pt:article/191International Journal of Marketing, Communication and New Media; Vol 5, No 8 (2017)2182-9306reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://u3isjournal.isvouga.pt/index.php/ijmcnm/article/view/191http://u3isjournal.isvouga.pt/index.php/ijmcnm/article/view/191/122Wang, Hsiu-Yuaninfo:eu-repo/semantics/openAccess2022-09-22T10:30:34Zoai:u3isjournal.isvouga.pt:article/191Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:58:21.396827Repositório 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 |
Predicting Facebook Fans’ Continuance Intention to Interact with Facebook Hospitality Company Fan Pages |
title |
Predicting Facebook Fans’ Continuance Intention to Interact with Facebook Hospitality Company Fan Pages |
spellingShingle |
Predicting Facebook Fans’ Continuance Intention to Interact with Facebook Hospitality Company Fan Pages Wang, Hsiu-Yuan Facebook fans; Company pages; Synthesized-model |
title_short |
Predicting Facebook Fans’ Continuance Intention to Interact with Facebook Hospitality Company Fan Pages |
title_full |
Predicting Facebook Fans’ Continuance Intention to Interact with Facebook Hospitality Company Fan Pages |
title_fullStr |
Predicting Facebook Fans’ Continuance Intention to Interact with Facebook Hospitality Company Fan Pages |
title_full_unstemmed |
Predicting Facebook Fans’ Continuance Intention to Interact with Facebook Hospitality Company Fan Pages |
title_sort |
Predicting Facebook Fans’ Continuance Intention to Interact with Facebook Hospitality Company Fan Pages |
author |
Wang, Hsiu-Yuan |
author_facet |
Wang, Hsiu-Yuan |
author_role |
author |
dc.contributor.author.fl_str_mv |
Wang, Hsiu-Yuan |
dc.subject.por.fl_str_mv |
Facebook fans; Company pages; Synthesized-model |
topic |
Facebook fans; Company pages; Synthesized-model |
description |
This study proposes and tests a new synthesized model by integrating the expectation-confirmation model, the technology acceptance model, one affective factor and two information-sharing factors to examine fans’ intention to continue interacting with hospitality company pages. Facebook fans from Taiwan are recruited as participants via an Internet survey. Data from 354 usable questionnaires were tested against the research model using the structural equation modeling approach. The results show that satisfaction has the most pronounced effect on fans’ continuance intention, followed sequentially by significant but weaker predictors: perceived enjoyment, perceived usefulness, and attitude. Meanwhile, expected relationships and altruism are both verified as having a notable influence on fans’ continuance intention by affecting their attitude toward company’s page. This study targeted Facebook fans of hospitality business pages. Therefore, a validation using another large sample gathered elsewhere is required to generalize the findings. The findings of this paper can give both page managers and academics an increased understanding of fans’ continuance intention to interact with company fan pages; the results may then be employed as a guideline to develop more appropriate business strategies for hospitality organizations by which to promote their products/services. The proposed model is a new synthesized model; little research has been done on examining Facebook fans’ continuance intention toward interacting with hospitality company fan pages. This study contributes to an understanding of the factors that influence fans’ intention to continue interacting with company fan pages through an empirical investigation, and especially its targeting of fans’ perception. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-06-26T00:00:00Z |
dc.type.driver.fl_str_mv |
journal article info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://u3isjournal.isvouga.pt/index.php/ijmcnm/article/view/191 oai:u3isjournal.isvouga.pt:article/191 |
url |
http://u3isjournal.isvouga.pt/index.php/ijmcnm/article/view/191 |
identifier_str_mv |
oai:u3isjournal.isvouga.pt:article/191 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://u3isjournal.isvouga.pt/index.php/ijmcnm/article/view/191 http://u3isjournal.isvouga.pt/index.php/ijmcnm/article/view/191/122 |
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 |
ISVOUGA - Instituto Superior de Entre Douro e Vouga |
publisher.none.fl_str_mv |
ISVOUGA - Instituto Superior de Entre Douro e Vouga |
dc.source.none.fl_str_mv |
International Journal of Marketing, Communication and New Media; Vol 5, No 8 (2017) 2182-9306 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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1799130451625902080 |