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Social network analysis: A tool for evaluating and predicting future knowledge flows from an insurance organization

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Social network analysis: A tool for evaluating and predicting future knowledge flows from an insurance organization

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dc.contributor.author Leon, Ramona-Diana es_ES
dc.contributor.author Rodríguez Rodríguez, Raúl es_ES
dc.contributor.author Gómez-Gasquet, Pedro es_ES
dc.contributor.author Mula, Josefa es_ES
dc.date.accessioned 2018-07-16T06:45:44Z
dc.date.available 2018-07-16T06:45:44Z
dc.date.issued 2017 es_ES
dc.identifier.issn 0040-1625 es_ES
dc.identifier.uri http://hdl.handle.net/10251/105814
dc.description.abstract [EN] The paper aims to identify the individuals who influence the knowledge sharing processes from an internal social network and to forecast the future knowledge flows that may cross it. Exploratory research is employed, and a four-phase methodology is developed which combines a social network analysis with structural modeling. This is applied to the internal enterprise social network used by a British insurance company. The main results emphasize the most influential groups, their relationships, future knowledge flows, and the connection between the network's heterogeneity and structure, and employees' future knowledge sharing intention. These findings have both theoretical and practical implications. The theory is extended by proving that a social network analysis can be used as a tool for evaluating and predicting future knowledge flows. At the same time, a solution is offered to decision-makers so they will be able to: (i) identify the potential knowledge loss; (ii) determine leaders; (iii) establish who is going to act as a knowledge diffuser, by sharing what they know with their coworkers, and who is going to act as a knowledge repository, by focusing on acquiring increasingly more knowledge; (iv) identify the elements that influence employees' future knowledge sharing intention. (C) 2016 Elsevier Inc. All rights reserved. es_ES
dc.description.sponsorship "The research reported in this paper is supported by the European Commission for the project "Engaging in Knowledge Networking via an interactive 3D social Supplier Network (KNOWNET)" (FP7-PEOPLE-2013-IAPP 324408)". es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation BRUNEL UNIVERSITY, COMISION DE LAS COMUNIDADES EUROPEA/324408 es_ES
dc.relation.ispartof Technological Forecasting and Social Change es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Knowledge sharing es_ES
dc.subject Future knowledge flows es_ES
dc.subject Social network analysis es_ES
dc.subject Strategic planning and implementation es_ES
dc.subject Insurance sector es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title Social network analysis: A tool for evaluating and predicting future knowledge flows from an insurance organization es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.techfore.2016.07.032 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/324408/EU/Engaging in Knowledge Networking via an interactive 3D Social Supplier Network/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.description.bibliographicCitation Leon, R.; Rodríguez Rodríguez, R.; Gómez-Gasquet, P.; Mula, J. (2017). Social network analysis: A tool for evaluating and predicting future knowledge flows from an insurance organization. Technological Forecasting and Social Change. 114:103-118. https://doi.org/10.1016/j.techfore.2016.07.032 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.techfore.2016.07.032 es_ES
dc.description.upvformatpinicio 103 es_ES
dc.description.upvformatpfin 118 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 114 es_ES
dc.relation.pasarela S\326757 es_ES
dc.contributor.funder European Commission es_ES


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