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

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  • Laubie, Raphaëlle
  • Elie-dit-Cosaque, Christophe
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    Abstract

    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.

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    File URL: http://basepub.dauphine.fr/xmlui/bitstream/123456789/11679/1/Exploring%20and%20Predicting%20Online%20Collective%20Action%20on%20Patients_%20Vi.pdf
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    Bibliographic Info

    Paper provided by Paris Dauphine University in its series Economics Papers from University Paris Dauphine with number 123456789/11679.

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    Date of creation: 2012
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    Publication status: Published in Proceedings of the International Conference on Information Systems, ICIS 2012, Orlando, USA, December 16-19, 2012,
    Handle: RePEc:dau:papers:123456789/11679

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    Keywords: Health information systems; IT adoption; Social media;

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    1. Wacheux, Frédéric & Roussel, Patrice, 2005. "Management des ressources humaines : méthodes de recherche en sciences humaines et sociales," Economics Papers from University Paris Dauphine 123456789/638, Paris Dauphine University.
    2. Detmar Straub & Moez Limayem & Elena Karahanna-Evaristo, 1995. "Measuring System Usage: Implications for IS Theory Testing," Management Science, INFORMS, vol. 41(8), pages 1328-1342, August.
    3. Jon Hartwick & Henri Barki, 1994. "Explaining the Role of User Participation in Information System Use," Management Science, INFORMS, vol. 40(4), pages 440-465, April.
    4. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
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