Computer-Mediated Social Ties as Predictors of SNS Usage Continuance
Michel Kalika (),
Alya Mlaiki and
Isabelle Walsh ()
Additional contact information
Michel Kalika: DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique
Alya Mlaiki: ESDES - ESDES, Lyon Business School - UCLy - UCLy - UCLy (Lyon Catholic University)
Isabelle Walsh: autre - AUTRES
Post-Print from HAL
Abstract:
The present article is a multi-method work in progress about the post-adoption phase of information systems, and more specifically it investigates the usage continuance of Social Networking Sites (SNS). We use the theoretical framework of Gift Theory applied within the context of SNS. We define the concept of computer-mediated social tie (CMST). In our work we use both qualitative and quantitative data and methods. From our qualitative data we found that CMST explains SNS usage continuance. Using these qualitative data we developed scales for this new construct. We are currently collecting quantitative data in order to verify our qualitative findings. We expect results to confirm the linkage between CMST and usage continuance.
Keywords: Réseaux sociaux (Internet); Computer-mediated social tie (CMST); Social Networking Sites (SNS); Don; Gift Theory (search for similar items in EconPapers)
Date: 2013-12
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Published in 34th International Conference on Information Systems (ICIS 2013), Dec 2013, Milan, Italy
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:hal:journl:hal-01664067
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().