Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/1084
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWickramasinghe, Nilmini-
dc.contributor.otherDurst, Caroline-
dc.contributor.otherViol, Janine-
dc.date.accessioned2017-05-08T05:48:08Z-
dc.date.available2017-05-08T05:48:08Z-
dc.date.issued2013-
dc.identifier.citationCommunications of the Association for Information Systems, 32(1), 134-158.en_US
dc.identifier.issn1529-3181en_US
dc.identifier.urihttp://hdl.handle.net/11434/1084-
dc.description.abstractThe percentage of obese individuals in the population has increased exponentially over the last decade, making obesity a phenomenon of significant global concern. Individual behaviors, preferences and lifestyle choices are subject to social and environmental influences and social networks have been identified as a key contributor to the global obesity epidemic. Numerous empirical studies have found a relationship between dimensions of social capital, well-being and population health. It is the thesis of this article that social capital in online social networks might be similarly associated. Addressing previously identified gaps in the literature, our conceptual model enables the analysis of the relationships between the structure and content of an individual's online social network, the resulting opportunities and limitations to accessing resources and his or her health-related behaviors and body weight is introduced. Moreover, the model incorporates potential social capital as a special type of social capital in online social networks and uses network-based measures instead of self-reported data. Additionally, literature-based hypotheses discussing the relationships between the constructs of the model are presented. Establishing profound theoretical groundwork, this article encourages future research crossing the boundaries between information systems, health informatics and sociology. This study concludes by proposing a new Facebook e-health application to collect longitudinal data using the aforementioned conceptual model in order to explore the presented ideas further.en_US
dc.subjectHealthen_US
dc.subjectInformation Systemsen_US
dc.subjectAssociation Reactionsen_US
dc.subjectObesityen_US
dc.subjectObesity Epidemicen_US
dc.subjectGlobal Healthen_US
dc.subjectPopulation Healthen_US
dc.subjectLifestyleen_US
dc.subjectConceptual Modelsen_US
dc.subjectChair of Health Informatics Management, Epworth HealthCare, Victoria, Australiaen_US
dc.titleOnline social networks, social capital and health-related behaviors.en_US
dc.typeJournal Articleen_US
dc.identifier.journaltitleCommunications of the Association for Information Systemsen_US
dc.description.affiliatesInstitute of Information Systems, University Erlangen-Nuremberg, Germanyen_US
dc.description.affiliatesSchool of Business and IT, RMIT University, Australiaen_US
dc.type.contenttypeTexten_US
Appears in Collections:Health Informatics

Files in This Item:
File Description SizeFormat 
nilmini.pdf1.19 MBAdobe PDFView/Open


Items in Epworth are protected by copyright, with all rights reserved, unless otherwise indicated.