The influence of familiarity, trust and norms of reciprocity on an experienced sense of community: an empirical analysis based on social online services
Manuel J. Sánchez-Franco and
José L. Roldán
Behaviour and Information Technology, 2015, vol. 34, issue 4, 392-412
Abstract:
The growing use of social online services raises the question of what encourages members to participate actively and maintain accumulated social capital. Our research has particularly become aware of the relevance of familiarity, trust and reciprocity in understanding the members' sense of a virtual community (VC). Familiarity and trust are efficient criteria to assess and determine the extent to which one should engage in a virtual relationship. Furthermore, the effort of sharing experiences and knowledge must be based on the expectation of receiving certain returns. A structural equation modelling, specifically partial least squares, is proposed to assess the relationships between the constructs. Overall, the empirical results provided strong support for the hypotheses. Familiarity and trust lead the member to develop a growing perceived community support (PCS) and significantly influence the sense of a VC. Norms of reciprocity directly influence affective trust and PCS. Higher familiarity does not moderate the impact of affective trust on PCS, however. The results of this study could thus help social online service providers to create a successful business model and to determine the main drivers of the members' sense of a VC.
Date: 2015
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2014.959455 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:34:y:2015:i:4:p:392-412
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20
DOI: 10.1080/0144929X.2014.959455
Access Statistics for this article
Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos
More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().