Publicação
Understanding the Motivations for Continuance Usage of Mobile Apps
| Resumo: | The evolution of mobile technology has contributed to the growth seen in mobile applications (m-apps) usage. Since businesses have accelerated their development of mobile platforms for their services, the number of m-apps that are available to users has increased. This poses a challenge for companies, as they seek to retain a long-term user base they also need to be aligned with consumers’ beliefs and wants, and promote the use of their own m-apps. This research investigates the motivations behind users’ intention to continuously use m-apps. We employ the expectation-confirmation model (ECM) and incorporate the perspective of lifestyle compatibility. A total of 175 responses to questionnaires were obtained from an online survey to empirically validate the proposed model, using the partial least squares (PLS) method. The findings demonstrate that lifestyle compatibility is a strong predictor for continuance intention of m-apps. |
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| Autores principais: | Correia, Rodrigo Dias |
| Outros Autores: | Tam, Carlos |
| Assunto: | Mobile applications (m-apps) Expectation-confirmation model (ECM) continuance intention lifestyle compatibility Information Systems Education Computer Networks and Communications |
| Ano: | 2025 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| Resumo: | The evolution of mobile technology has contributed to the growth seen in mobile applications (m-apps) usage. Since businesses have accelerated their development of mobile platforms for their services, the number of m-apps that are available to users has increased. This poses a challenge for companies, as they seek to retain a long-term user base they also need to be aligned with consumers’ beliefs and wants, and promote the use of their own m-apps. This research investigates the motivations behind users’ intention to continuously use m-apps. We employ the expectation-confirmation model (ECM) and incorporate the perspective of lifestyle compatibility. A total of 175 responses to questionnaires were obtained from an online survey to empirically validate the proposed model, using the partial least squares (PLS) method. The findings demonstrate that lifestyle compatibility is a strong predictor for continuance intention of m-apps. |
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