2023Journal of Computer Information SystemsOpen access

An Integrated Model for Information Adoption&Trust in Mobile Social Commerce

Fulya Açikgöz, Abdelsalam Busalim, James Gaskin, Shahla Asadi

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Abstract

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.

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What this paper is about

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.

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Available abstract

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

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