Business Commons^™

A Meta-Analytic Structural Equation Model For Understanding Social Commerce Adoption, Anand Jeyaraj, Yogesh K. Dwivedi, Elvira Ismagilova, Prianka Sarker, Yassine Jadil, Laurie Hughes

ISSCM Faculty Publications

Social commerce (s-commerce) has gained prominence with advances in social media and social networking technologies over the last decade. Prior research has employed diverse theoretical perspectives to understand and explain consumer behavior within s-commerce but has also produced inconsistent results. This study integrates different theoretical perspectives including trust, social support, and social presence. The research portrays an integrated research model involving factors that impact behavioral intention and use behavior of s-commerce consumers whilst synthesizing prior empirical findings. A meta-analytic structural equation modeling (MASEM) method was used to synthesize 189 findings reported in 68 s-commerce studies and to analyze the structural …

Non-Communicable Diseases And Social Media: A Heart Disease Symptoms Application, Ashwin Kumar Thandapani Kumarasamy, Daniel Asamoah, Ramesh Sharda

ISSCM Faculty Publications

Social media platforms have become ubiquitous and allow users to share information in real-time. Our study uses data analytics as an approach to explore non-communicable diseases on social media platforms and to identify trends and patterns of related disease symptoms. Exploring epidemiological patterns of non-communicable diseases is vital given that they have become prevalent in low income communities, accounting for about 38 million deaths worldwide.

We collected data related to multiple disease conditions from the Twitter microblogging platform and zoomed into symptoms related to heart diseases. As part of our analyses, we focused on the mechanism and trends of disease …