Applied Bimatics - An Informatics & eHealth Blog

I am a clinician with a passion for informatics. This blog is about my eHealth journey exploring interoperability in Electronic Medical Records (EMR/EHR), Patient Safety, Pharmacovigilance, Data Analytics, Clinical Research and Bioinformatics in a clinical context. Comparing Canadian, Indian and Middle Eastern healthcare systems and services. Join our open facebook group here: https://www.facebook.com/groups/clinical.bioinformaticians/


What drives electronic word-of-mouth on social networking sites? Perspectives of social capital and self-determination

Publication date: November 2016
Source:Telematics and Informatics, Volume 33, Issue 4
Author(s): Tien Wang, Ralph Keng-Jung Yeh, Charlie Chen, Zorikto Tsydypov
An increasing number of customers make purchase decisions according to social media referrals. Social-network-based communication is becoming a necessity for companies to stay competitive. However, using social networks to effectively promote electronic word-of-mouth (eWOM) remains challenging. Managers in general are unfamiliar with the key factors that can encourage online social network members to engage in eWOM. This study used social capital and self-determination theories to identify three social capital factors and two individual factors on eWOM. A survey of 238 social network users was conducted to determine the relative influence of these five factors on eWOM among the users. The partial least square analysis results indicate that tie strength and innovativeness directly influence eWOM in virtual social networks. Trust, shared language, and voluntary self-disclosure do not exhibit a significant influence. Theoretical and practical implications of the five factors for promoting eWOM in social networks are drawn from these findings.



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About Me

As a Dermatologist and Informatician my research mainly involves application of bioinformatics techniques and tools in dermatological conditions. However my research interests are varied and I have publications in areas ranging from artificial intelligence, sequence analysis, systems biology, ontology development, microarray analysis, immunology, computational biology and clinical dermatology. I am also interested in eHealth, Health Informatics and Health Policy.

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