Abstract
This study examined the factors determining social commerce purchase and recommendation intentions within the context of swift guanxi. The data analysis was conducted with Smart PLS 3.0 using the structural equation modeling technique. The results have illustrated that perceived usefulness and perceived ease of use were significant in determining both the recommendation and social commerce purchase intentions. In addition, eWOM was also a significant predictor of both social commerce purchase and recommendation intentions. Interestingly the results showed that trust in social network sites was not significant in influencing social commerce purchase and recommendation intentions. Also, mutual understanding and relationship harmony were found to predict the social commerce purchase and recommendation intentions. The implications of these and other results findings of the study are discussed.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.