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Exploring and Predicting Online Collective Action on Patients' Virtual Communities: A Multi-method Investigation in France

Laubie, Raphaëlle; Elie-dit-Cosaque, Christophe (2012), Exploring and Predicting Online Collective Action on Patients' Virtual Communities: A Multi-method Investigation in France, in George, Joey F., Proceedings of the International Conference on Information Systems, ICIS 2012, Orlando, USA, December 16-19, 2012, Association for Information Systems, p. 12

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Exploring and Predicting Online Collective Action on Patients_ Vi.pdf (333.1Kb)
Type
Communication / Conférence
Date
2012
Conference title
International Conference on Information Systems, ICIS 2012
Conference date
2012-12
Conference city
Orlando
Conference country
États-Unis
Book title
Proceedings of the International Conference on Information Systems, ICIS 2012, Orlando, USA, December 16-19, 2012
Book author
George, Joey F.
Publisher
Association for Information Systems
ISBN
978-0-615-71843-9
Pages
12
Metadata
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Author(s)
Laubie, Raphaëlle
Dauphine Recherches en Management [DRM]
Elie-dit-Cosaque, Christophe
Dauphine Recherches en Management [DRM]
Abstract (EN)
Virtual patients’ communities are developing on the Internet. These communities allow frequent interactions among patients, who can share health-related information within an interactive environment. However, we know very little about what determines patients’ online collective action on Web 2.0 social networks. Accordingly, this research-in-progress examines why patients interact with others and communicate on topics related with their disease through these virtual communities. Drawing on goal-directed behavior (MGB) and the expectancy-value (EVT) theories, we have developed a model for examining patients’ interactions with virtual communities. This multi-method, qualitative and quantitative approach enables one to explore patients’ interactions and measure the determinants of online collective action on virtual spaces. The results from the qualitative analysis of 54 interviews conducted with patients, patient’s relatives, health 2.0 professionals, doctors and caregivers are discussed herein. This research is expected to increase our knowledge regarding the individual dynamics and interactions that surround online patients’ communities.
Subjects / Keywords
Health information systems; IT adoption; Social media
JEL
D85 - Network Formation and Analysis: Theory
L86 - Information and Internet Services; Computer Software
O33 - Technological Change: Choices and Consequences; Diffusion Processes
I11 - Analysis of Health Care Markets

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