Video game success and consumer acceptance: a sentiment classification of gamer reviews

Detalhes bibliográficos
Autor(a) principal: Chaves, Francisco Miguel Duarte Pinheiro Ramos
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/93010
Resumo: Dissertation presented as partial requirement for obtaining the Master’s degree in Information Management, with a specialization in Information Systems and Technologies Management
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spelling Video game success and consumer acceptance: a sentiment classification of gamer reviewsGamingSentiment AnalysisGamer ReviewsStructural Equation Modelling (SEM)Text MiningDissertation presented as partial requirement for obtaining the Master’s degree in Information Management, with a specialization in Information Systems and Technologies ManagementGaming is a multi‐billion industry made of the same principles that guide information systems. The reception of a video game is influenced by the online community. Still video games have yet to hit their real peak as far as design and technology come to and the reasons that lead to its success remain unclear. The goal of this study is to uncover the causes that lead to the success of a video game through the DeLone and McLean success model following a text mining approach using online gamer reviews. Whereas earlier researches focus on surveys, this study uses a text mining approach to analyze reviewers’ opinions combined with structural equation modelling (SEM) without the need of conducting surveys and follows an information systems (IS) success model to understand the success reasons of video games. Therefore, this study contributes by adopting a new methodology, revealing a path of research that can be expanded to the validation of any theoretical model for which there is online reviews available. The results reveal the greater effect of information, system qualities over service quality regarding use. We found that information, system qualities and user satisfaction play positively influential roles in video game success. Additionally, our study also contributes to a wider understanding of the determinants of video game adoption. Especially that user satisfaction has a greater impact as a success factor of a video game than usage.Oliveira, Tiago André Gonçalves Félix deMoro, SérgioRUNChaves, Francisco Miguel Duarte Pinheiro Ramos2022-12-23T01:30:32Z2019-12-232019-12-23T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/93010TID:202445933enginfo: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:RCAAP2024-03-11T04:41:34Zoai:run.unl.pt:10362/93010Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:37:40.124514Repositório 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 Video game success and consumer acceptance: a sentiment classification of gamer reviews
title Video game success and consumer acceptance: a sentiment classification of gamer reviews
spellingShingle Video game success and consumer acceptance: a sentiment classification of gamer reviews
Chaves, Francisco Miguel Duarte Pinheiro Ramos
Gaming
Sentiment Analysis
Gamer Reviews
Structural Equation Modelling (SEM)
Text Mining
title_short Video game success and consumer acceptance: a sentiment classification of gamer reviews
title_full Video game success and consumer acceptance: a sentiment classification of gamer reviews
title_fullStr Video game success and consumer acceptance: a sentiment classification of gamer reviews
title_full_unstemmed Video game success and consumer acceptance: a sentiment classification of gamer reviews
title_sort Video game success and consumer acceptance: a sentiment classification of gamer reviews
author Chaves, Francisco Miguel Duarte Pinheiro Ramos
author_facet Chaves, Francisco Miguel Duarte Pinheiro Ramos
author_role author
dc.contributor.none.fl_str_mv Oliveira, Tiago André Gonçalves Félix de
Moro, Sérgio
RUN
dc.contributor.author.fl_str_mv Chaves, Francisco Miguel Duarte Pinheiro Ramos
dc.subject.por.fl_str_mv Gaming
Sentiment Analysis
Gamer Reviews
Structural Equation Modelling (SEM)
Text Mining
topic Gaming
Sentiment Analysis
Gamer Reviews
Structural Equation Modelling (SEM)
Text Mining
description Dissertation presented as partial requirement for obtaining the Master’s degree in Information Management, with a specialization in Information Systems and Technologies Management
publishDate 2019
dc.date.none.fl_str_mv 2019-12-23
2019-12-23T00:00:00Z
2022-12-23T01:30:32Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/93010
TID:202445933
url http://hdl.handle.net/10362/93010
identifier_str_mv TID:202445933
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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repository.mail.fl_str_mv
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