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Information exchange in social networks for health care

Information exchange in social networks for health care PurposeThis paper aims to uncover the predictors of information exchange in social networking for health (SNH) care.Design/methodology/approachUsing two national studies of consumers in the USA, this research examines how trust and social connections influence information exchange. The empirical analyses use a two-stage estimation approach and structural equation modeling.FindingsThe results show that higher trust encourages information getting, while social connections encourage information giving. In contrast to previous findings, this study shows that trust does not affect information giving when social connections are included in the model.Research limitations/implicationsThis study focuses on the role of trust and social connections in predicting information exchange in SNH. Research on general social media use has explored the role of personalities in predicting use. While this study controls for demographic variables that correlate strongly with personality types that are significant predictors, future research can determine which of the big-five personality factors correlate with information exchange. While social media usage has been steadily increasing from 2005 to 2015, the authors are unable to track changes in social media activities in healthcare over time as this study uses cross-sectional data. Future research can use panel data that can track these changes.Practical implicationsFirst, managers of social networks can encourage individuals with expansive networks to share their stories, as they are more likely to offer information. Second, they need to build the trust of individuals before fully reaping the benefits of SNH. This issue is especially critical for SNH if medical practitioners and public health officials need to use SNH as a communication channel. Third, medical practitioners and public health officials may need to intervene when misinformation is prevalent in SNH.Social implicationsHealth-care providers and public health officials informed of information exchange predictors can modify their strategies in enacting health-related policies.Originality/valueThis research is the first to explore the links between trust, social connections and information exchange in SNH care. This research contributes to existing knowledge by identifying the important roles of trust and social connections and separate routes that these constructs influence information exchange. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Consumer Marketing Emerald Publishing

Information exchange in social networks for health care

Sinapuelas, Ian Clark; Ho, Foo Nin
Journal of Consumer Marketing , Volume 36 (5): 11 – Aug 12, 2019
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11 pages

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Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
0736-3761
DOI
10.1108/JCM-12-2017-2470
Publisher site
See Article on Publisher Site

Abstract

PurposeThis paper aims to uncover the predictors of information exchange in social networking for health (SNH) care.Design/methodology/approachUsing two national studies of consumers in the USA, this research examines how trust and social connections influence information exchange. The empirical analyses use a two-stage estimation approach and structural equation modeling.FindingsThe results show that higher trust encourages information getting, while social connections encourage information giving. In contrast to previous findings, this study shows that trust does not affect information giving when social connections are included in the model.Research limitations/implicationsThis study focuses on the role of trust and social connections in predicting information exchange in SNH. Research on general social media use has explored the role of personalities in predicting use. While this study controls for demographic variables that correlate strongly with personality types that are significant predictors, future research can determine which of the big-five personality factors correlate with information exchange. While social media usage has been steadily increasing from 2005 to 2015, the authors are unable to track changes in social media activities in healthcare over time as this study uses cross-sectional data. Future research can use panel data that can track these changes.Practical implicationsFirst, managers of social networks can encourage individuals with expansive networks to share their stories, as they are more likely to offer information. Second, they need to build the trust of individuals before fully reaping the benefits of SNH. This issue is especially critical for SNH if medical practitioners and public health officials need to use SNH as a communication channel. Third, medical practitioners and public health officials may need to intervene when misinformation is prevalent in SNH.Social implicationsHealth-care providers and public health officials informed of information exchange predictors can modify their strategies in enacting health-related policies.Originality/valueThis research is the first to explore the links between trust, social connections and information exchange in SNH care. This research contributes to existing knowledge by identifying the important roles of trust and social connections and separate routes that these constructs influence information exchange.

Journal

Journal of Consumer Marketing – Emerald Publishing

Published: Aug 12, 2019

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