dc.creator | Sánchez Franco, Manuel Jesús | es |
dc.creator | Muñoz Expósito, Miriam | es |
dc.creator | Villarejo Ramos, Ángel Francisco | es |
dc.date.accessioned | 2018-04-06T07:31:06Z | |
dc.date.available | 2018-04-06T07:31:06Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Sánchez Franco, M.J., Muñoz Expósito, M. y Villarejo Ramos, Á.F. (2017). A knowledge structures exploration on social network sites. Kybernetes, 46 (5), 818-839. | |
dc.identifier.issn | 0368-492X | es |
dc.identifier.uri | https://hdl.handle.net/11441/72051 | |
dc.description.abstract | Purpose
–
This paper aims to describe a method for combining perceived community support, relationship
quality and the extended technology acceptance model in the same empirically derived associative network.
The research also examines the moderating role of accumulation of knowledge (based on beliefs and opinions)
derived from social interactions.
Design/methodology/approach
–
The Path
fi
nder algorithm is a valid approach for determining
network structures from relatedness data. Such a graphical representation provides managers with a
comprehensible picture of how social behaviours relate to loyalty-based dimensions.
Findings
–
As the bene
fi
ts of community participation and integration might be differently evaluated by
new and long-term users, the research examines the associative network by levels of user familiarity. This
study indeed contributes to the analysis of enduring social bonds with respect to individuals
’
decision-making
processes, as it provides details representing speci
fi
c relationships between diverse concepts based on true-
loyalty.
Practical implications
–
The application of Path
fi
nder to the study of online social services and user
behaviour appears to have potential for unveiling the structures of social network sites members and
designing successful strategies for prospective community managers.
Originality/value
–
This is the
fi
rst study to the author
’
s knowledge that empirically tests a theory-
grounded framework for integrating individual characteristics and relational driver and focuses on
associative structures evidenced as a representation of the most salient loyalty-based concepts by also
studying the moderating effects of familiarity. | es |
dc.description.sponsorship | Junta de Andalucía SEJ-5801 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Emerald | es |
dc.relation.ispartof | Kybernetes, 46 (5), 818-839. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Technology acceptance model | es |
dc.subject | Self-efficacy | es |
dc.subject | Relationship quality | es |
dc.subject | Social Network Sites | es |
dc.subject | Pathfinder network scaling | es |
dc.subject | Perceived community support | es |
dc.subject | M15 | es |
dc.subject | M39 | es |
dc.title | A knowledge structures exploration on social network sites | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Administración de Empresas y Comercialización e Investigación de Mercados (Marketing) | es |
dc.relation.projectID | SEJ-5801 | es |
dc.relation.publisherversion | http://dx.doi.org/10.1108/K-01-2016-0013 | es |
dc.identifier.doi | 10.1108/K-01-2016-0013 | es |
idus.format.extent | 22 | es |
dc.journaltitle | Kybernetes | es |
dc.publication.volumen | 46 | es |
dc.publication.issue | 5 | es |
dc.publication.initialPage | 818 | es |
dc.publication.endPage | 839 | es |
dc.identifier.sisius | 21088135 | es |
dc.contributor.funder | Junta de Andalucía | |