Interactivity in mobile applications: a study of continuance intention
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/155917 |
Resumo: | In the information and technology society we live in today, the number of mobile applications made available gives users the opportunity and need to create criteria and adopt ways to select what they will continue using in so many areas of life. This happens in mobile applications, which are information systems the markets for which have grown exponentially in the last two decades. With this growth, the users’ demands and expectations also grew, and with that, the desire to be able to interact with the systems themselves. In order to contribute to this field of science, we developed research that creates a model combining the Expectation Confirmation Model, presented by Bhattacherjee, and the Interactivity Effects Model, introduced by Shyam Sundar in 2015, through the concepts of modality interactivity, message interactivity, and source interactivity. The use of these concepts in the study of continuance intention, as well as their use on mobile applications as a platform, proved to be important to explore for both this current research and future ones. A mixed methods approach was used, creating an online survey to obtain the quantitative data necessary for the research, followed by a series of interviews made with the goal of confirming and explaining the quantitative data, always supported by the literature on the subject. Of a total of eleven hypotheses, eight were supported by our results, with modality interactivity proving to have a greater positive influence over satisfaction and continuance intention than perceived usefulness. The influence of message interactivity on satisfaction, message interactivity on continuance intention, and source interactivity on continuance intention were not supported by the results. The interviews suggest explanations of these results and allowed the perception that message interactivity tends to include techniques that are harder to recognize, which could justify the poor results obtained when evaluating the quantitative data. This conclusion, apart from its scientific importance, also demonstrates the importance of confirming and further explaining quantitative results when developing scientific research. |
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Interactivity in mobile applications: a study of continuance intentionAplicações MóveisContinuance IntentionModality InteractivityMessage InteractivitySource InteractivityMobile ApplicationsDomínio/Área Científica::Humanidades::História e ArqueologiaIn the information and technology society we live in today, the number of mobile applications made available gives users the opportunity and need to create criteria and adopt ways to select what they will continue using in so many areas of life. This happens in mobile applications, which are information systems the markets for which have grown exponentially in the last two decades. With this growth, the users’ demands and expectations also grew, and with that, the desire to be able to interact with the systems themselves. In order to contribute to this field of science, we developed research that creates a model combining the Expectation Confirmation Model, presented by Bhattacherjee, and the Interactivity Effects Model, introduced by Shyam Sundar in 2015, through the concepts of modality interactivity, message interactivity, and source interactivity. The use of these concepts in the study of continuance intention, as well as their use on mobile applications as a platform, proved to be important to explore for both this current research and future ones. A mixed methods approach was used, creating an online survey to obtain the quantitative data necessary for the research, followed by a series of interviews made with the goal of confirming and explaining the quantitative data, always supported by the literature on the subject. Of a total of eleven hypotheses, eight were supported by our results, with modality interactivity proving to have a greater positive influence over satisfaction and continuance intention than perceived usefulness. The influence of message interactivity on satisfaction, message interactivity on continuance intention, and source interactivity on continuance intention were not supported by the results. The interviews suggest explanations of these results and allowed the perception that message interactivity tends to include techniques that are harder to recognize, which could justify the poor results obtained when evaluating the quantitative data. This conclusion, apart from its scientific importance, also demonstrates the importance of confirming and further explaining quantitative results when developing scientific research.Na sociedade tecnológica e de informação em que vivemos hoje, a quantidade de aplicações móveis disponíveis exige que os utilizadores criem critérios e adotem formas de selecionar o que continuarão a utilizar em todas as vertentes do seu dia-a-dia. Isto acontece com aplicações móveis, sendo sistemas de informação que viram o seu mercado crescer exponencialmente nas duas últimas décadas. Com este crescimento, as exigências e expectativas dos utilizadores cresceram também, e, com isso, o desejo de poder interagir com os próprios sistemas. Para contribuir para este campo da ciência, decidimos desenvolver um estudo com a criação de um modelo que conjuga o conhecido Expectation Confirmation Model, desenvolvido por Bhattacherjee, e o Interactivity Effects Model, que surge em 2015 com Shyam Sundar, através dos conceitos de interatividade de meio (modality interactivity), interatividade de mensagem (message interactivity) e interatividade de fonte (source interactivity). A utilização destes conceitos no estudo da intenção de continuação de uso, assim como os mesmo tendo as aplicações móveis como plataforma, provaram ser um tema digno de exploração, tanto na presente pesquisa, como noutras futuras. Foi utilizada uma conjugação de métodos de recolha de dados, com a criação de um questionário online para obter os dados quantitativos necessários, seguido pela realização de entrevistas feitas com o objetivo de confirmar e explicar os resultados obtidos através do questionário, sempre com o suporte da literatura existente sobre o tema. De um total de onze hipóteses, oito foram suportadas pelo nosso estudo, com a interatividade de meio (modality interactivity) a provar ter maior influência positiva sobre a satisfação (satisfaction) e a intenção de continuação de uso (continuance intention) do que a variável de utilidade percecionada (perceived usefulness), ainda que fossem confirmadas todas as hipóteses relativas ao expectation-confirmation model. A influência da interatividade de mensagem (message interactivity) na satisfação (satisfaction), assim como da interatividade de mensagem (message interactivity) na intenção de continuação de uso (continuance intention), e da interatividade de fonte (source interactivity) na intenção de continuação de uso (continuance intention) não foram hipóteses confirmadas pelos resultados obtidos. As entrevistas permitiram a explicação destes resultados e a perceção de que a interatividade de mensagem (message interactivity) tem tendência a ser uma ferramenta mais difícil de reconhecer e perceber, apesar de os utilizadores expressarem que sentem satisfação pela sua existência. Esta conclusão provou também a importância da realização de entrevistas, ou, em geral, da confirmação e explicação dos dados quantitativos no desenvolvimento de uma pesquisa científica.Vai, Carlos Tam ChuemRUNCoelho, Maria Alexandra Figueiredo2023-07-28T08:50:40Z2023-02-102022-11-022023-02-10T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/155917TID:203238575enginfo: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:RCAAP2024-03-11T05:38:30Zoai:run.unl.pt:10362/155917Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:56:16.045930Repositório 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 |
Interactivity in mobile applications: a study of continuance intention |
title |
Interactivity in mobile applications: a study of continuance intention |
spellingShingle |
Interactivity in mobile applications: a study of continuance intention Coelho, Maria Alexandra Figueiredo Aplicações Móveis Continuance Intention Modality Interactivity Message Interactivity Source Interactivity Mobile Applications Domínio/Área Científica::Humanidades::História e Arqueologia |
title_short |
Interactivity in mobile applications: a study of continuance intention |
title_full |
Interactivity in mobile applications: a study of continuance intention |
title_fullStr |
Interactivity in mobile applications: a study of continuance intention |
title_full_unstemmed |
Interactivity in mobile applications: a study of continuance intention |
title_sort |
Interactivity in mobile applications: a study of continuance intention |
author |
Coelho, Maria Alexandra Figueiredo |
author_facet |
Coelho, Maria Alexandra Figueiredo |
author_role |
author |
dc.contributor.none.fl_str_mv |
Vai, Carlos Tam Chuem RUN |
dc.contributor.author.fl_str_mv |
Coelho, Maria Alexandra Figueiredo |
dc.subject.por.fl_str_mv |
Aplicações Móveis Continuance Intention Modality Interactivity Message Interactivity Source Interactivity Mobile Applications Domínio/Área Científica::Humanidades::História e Arqueologia |
topic |
Aplicações Móveis Continuance Intention Modality Interactivity Message Interactivity Source Interactivity Mobile Applications Domínio/Área Científica::Humanidades::História e Arqueologia |
description |
In the information and technology society we live in today, the number of mobile applications made available gives users the opportunity and need to create criteria and adopt ways to select what they will continue using in so many areas of life. This happens in mobile applications, which are information systems the markets for which have grown exponentially in the last two decades. With this growth, the users’ demands and expectations also grew, and with that, the desire to be able to interact with the systems themselves. In order to contribute to this field of science, we developed research that creates a model combining the Expectation Confirmation Model, presented by Bhattacherjee, and the Interactivity Effects Model, introduced by Shyam Sundar in 2015, through the concepts of modality interactivity, message interactivity, and source interactivity. The use of these concepts in the study of continuance intention, as well as their use on mobile applications as a platform, proved to be important to explore for both this current research and future ones. A mixed methods approach was used, creating an online survey to obtain the quantitative data necessary for the research, followed by a series of interviews made with the goal of confirming and explaining the quantitative data, always supported by the literature on the subject. Of a total of eleven hypotheses, eight were supported by our results, with modality interactivity proving to have a greater positive influence over satisfaction and continuance intention than perceived usefulness. The influence of message interactivity on satisfaction, message interactivity on continuance intention, and source interactivity on continuance intention were not supported by the results. The interviews suggest explanations of these results and allowed the perception that message interactivity tends to include techniques that are harder to recognize, which could justify the poor results obtained when evaluating the quantitative data. This conclusion, apart from its scientific importance, also demonstrates the importance of confirming and further explaining quantitative results when developing scientific research. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-11-02 2023-07-28T08:50:40Z 2023-02-10 2023-02-10T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/masterThesis |
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eng |
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openAccess |
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