Skip navigation
  • Home
  • Browse
    • Communities
      & Collections
    • Browse Items by:
    • Publication Date
    • Author
    • Title
    • Subject
    • Department
  • Sign on to:
    • My MacSphere
    • Receive email
      updates
    • Edit Profile


McMaster University Home Page
  1. MacSphere
  2. Open Access Dissertations and Theses Community
  3. Open Access Dissertations and Theses
Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/15461
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorHead, Milena-
dc.contributor.authorMojdeh, Sana-
dc.date.accessioned2014-07-16T13:18:44Z-
dc.date.available2014-07-16T13:18:44Z-
dc.date.issued2014-11-
dc.identifier.urihttp://hdl.handle.net/11375/15461-
dc.description.abstractKnowledge sharing–the dissemination of knowledge from an individual/group to another–has been an interesting topic for knowledge management scholars. Previous studies on knowledge sharing in online communities have primarily focused on communities of practice (organizational/business communities) and the social factors of knowledge sharing behaviour. However, non-business-oriented online communities have not been rigorously examined in the academic literature as venues for facilitating knowledge sharing. In addition, the burst of new age Internet tools (artifacts) such as social bookmarking has changed the face of online social networking. Within the context of Web 2.0, this socio-technical research investigation introduces both social and technical factors affecting attitude towards knowledge sharing in communities of relationship and communities of interest, and proposes a relational model of knowledge sharing attitude in Web 2.0 online communities. Social Capital Theory provides the main theoretical backbone for the proposed model. Theory of Reasoned Action (TRA) and social constructionsim have also been used. Following the description of the proposed hypotheses and research methodology using a survey about three Web 2.0 websites (Facebook, LinkedIn, and Cnet), data analysis through Partial Least Squared (PLS) method is applied to examine the effect of social and technical antecedent of knowledge sharing attitude. The R2 value of 0.78 indicates the strong explanatory power of the research model.en_US
dc.language.isoenen_US
dc.rightsAn error occurred on the license name.*
dc.rights.uriAn error occurred getting the license - uri.*
dc.subjectknowledge managementen_US
dc.subjectknowledge sharingen_US
dc.subjectonline communitiesen_US
dc.subjectWeb 2.0en_US
dc.subjectsocial bookmarkingen_US
dc.subjectcommentingen_US
dc.subjectsocial capital theoryen_US
dc.titleUnderstanding knowledge sharing in Web 2.0 online communities: A socio-technical studyen_US
dc.typeThesisen_US
dc.contributor.departmentBusiness Administrationen_US
dc.description.degreetypeDissertationen_US
dc.description.degreeDoctor of Philosophy (PhD)en_US
Appears in Collections:Open Access Dissertations and Theses

Files in This Item:
File Description SizeFormat 
SanaMojdeh-Thesis07 10 2014-V19.docx
Open Access
Main article2.95 MBMicrosoft Word XMLView/Open
Show simple item record Statistics


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

Sherman Centre for Digital Scholarship     McMaster University Libraries
©2022 McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4L8 | 905-525-9140 | Contact Us | Terms of Use & Privacy Policy | Feedback

Report Accessibility Issue