TY - JOUR
T1 - Understanding the Motivations for Continuance Usage of Mobile Apps
AU - Correia, Rodrigo Dias
AU - Tam, Carlos
N1 - info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT#
Correia, R. D., & Tam, C. (2024). Understanding the Motivations for Continuance Usage of Mobile Apps. Journal of Computer Information Systems, 1-15. Advance online publication. https://doi.org/10.1080/08874417.2024.2302001 --- This work was supported by national funds through FCT [Fundação para a Ciência e a Tecnologia], under the project - UIDB/04152/2020 - Centro de Investigação em Gestão de Informação [MagIC]/NOVA IMS.
PY - 2024/1/19
Y1 - 2024/1/19
N2 - 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.
AB - 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.
KW - Mobile applications (m-apps)
KW - Expectation-confirmation model (ECM)
KW - continuance intention
KW - lifestyle compatibility
UR - http://www.scopus.com/inward/record.url?scp=85182638141&partnerID=8YFLogxK
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:001145250200001
U2 - 10.1080/08874417.2024.2302001
DO - 10.1080/08874417.2024.2302001
M3 - Article
SN - 0887-4417
SP - 1
EP - 15
JO - Journal of Computer Information Systems
JF - Journal of Computer Information Systems
ER -