An Integrated Model for Information Adoption&Trust in Mobile Social Commerce
Fulya Açikgöz, Abdelsalam Busalim, James Gaskin, Shahla Asadi
Abstract
Open-access reader
Fulya Açikgöz, Abdelsalam Busalim, James Gaskin, Shahla Asadi
Abstract
Open-access reader
Despite the growing importance of mobile social commerce (ms-commerce), little research has been conducted on the effects of informational and social factors on users’ post-adoption behavior. We, therefore, build on the understanding of mobile social commerce in the UK market and how it affects users’ post-adoption behaviors. Our theoretical model leverages the information adoption model, social support theory, and social influence theory. Data was gathered from 377 ms-commerce users from the UK and analyzed via Partial Least Squares (PLS-SEM). The research findings show that both informational and social factors have a positive impact on information adoption in ms-commerce apps. Furthermore, information adoption has a positive impact on trust, which leads to ms-commerce purchase intention, ms-commerce continuance intention, and willingness to share an ms-commerce experience.
OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Despite the growing importance of mobile social commerce (ms-commerce), little research has been conducted on the effects of informational and social factors on users’ post-adoption behavior. We, therefore, build on the understanding of mobile social commerce in the UK market and how it affects users’ post-adoption behaviors. Our theoretical model leverages the information adoption model, social support theory, and social influence theory. Data was gathered from 377 ms-commerce users from the UK and analyzed via Partial Least Squares (PLS-SEM). The research findings show that both informational and social factors have a positive impact on information adoption in ms-commerce apps. Furthermore, information adoption has a positive impact on trust, which leads to ms-commerce purchase intention, ms-commerce continuance intention, and willingness to share an ms-commerce experience.
Key concepts: Continuance, Social commerce, Mobile commerce, Social influence, Technology acceptance model, Business, E-commerce, Theory of planned behavior