Dynamic evolution of alliance portfolios

This research advances in the conceptualization and the operationalization of the factors or microdynamics that determine the choice of partners. Most of the literature in this area of research has centered on the individual alliance without taking into account the set of alliances that a firm makes...

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Autores: Castro Abancens, Ignacio, Casanueva Rocha, Cristóbal, Galán González, José Luis
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2014
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/175585
Acceso en línea:https://hdl.handle.net/11441/175585
https://doi.org/10.1016/j.emj.2013.06.006
Access Level:acceso abierto
Palabra clave:Alliance portfolio
Endogenous microdynamics
Interfirm network evolution model
SIENA model
Social networks
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spelling Dynamic evolution of alliance portfoliosCastro Abancens, IgnacioCasanueva Rocha, CristóbalGalán González, José LuisAlliance portfolioEndogenous microdynamicsInterfirm network evolution modelSIENA modelSocial networksThis research advances in the conceptualization and the operationalization of the factors or microdynamics that determine the choice of partners. Most of the literature in this area of research has centered on the individual alliance without taking into account the set of alliances that a firm makes. This research applies a holistic approach, analyzing the set of alliances as a whole and points to the factors related to alliance portfolios that affect the choice of partners. The authors propose a longitudinal model that allows us to analyze the evolution of interorganizational networks. A Simulation Investigation for Empirical Network Analysis (SIENA) has been applied to a sample of 229 firms, analyzing 10,556 strategic alliances established between them over a 12 year period. The results show that certain factors over which managers exercise a degree of control (deliberate endogenous microdynamics) exert significant influences on the choice of partners by the focal actor and thereby on the dynamic configuration of alliance portfolios.ElsevierAdministración de Empresas y MarketingMinisterio de Ciencia e Innovación (MICIN). España2014info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/175585https://doi.org/10.1016/j.emj.2013.06.006reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésEuropean Management Journal, 32 (3), 423-433.ECO2009-12742https://doi.org/10.1016/j.emj.2013.06.006info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1755852026-06-17T12:51:07Z
dc.title.none.fl_str_mv Dynamic evolution of alliance portfolios
title Dynamic evolution of alliance portfolios
spellingShingle Dynamic evolution of alliance portfolios
Castro Abancens, Ignacio
Alliance portfolio
Endogenous microdynamics
Interfirm network evolution model
SIENA model
Social networks
title_short Dynamic evolution of alliance portfolios
title_full Dynamic evolution of alliance portfolios
title_fullStr Dynamic evolution of alliance portfolios
title_full_unstemmed Dynamic evolution of alliance portfolios
title_sort Dynamic evolution of alliance portfolios
dc.creator.none.fl_str_mv Castro Abancens, Ignacio
Casanueva Rocha, Cristóbal
Galán González, José Luis
author Castro Abancens, Ignacio
author_facet Castro Abancens, Ignacio
Casanueva Rocha, Cristóbal
Galán González, José Luis
author_role author
author2 Casanueva Rocha, Cristóbal
Galán González, José Luis
author2_role author
author
dc.contributor.none.fl_str_mv Administración de Empresas y Marketing
Ministerio de Ciencia e Innovación (MICIN). España
dc.subject.none.fl_str_mv Alliance portfolio
Endogenous microdynamics
Interfirm network evolution model
SIENA model
Social networks
topic Alliance portfolio
Endogenous microdynamics
Interfirm network evolution model
SIENA model
Social networks
description This research advances in the conceptualization and the operationalization of the factors or microdynamics that determine the choice of partners. Most of the literature in this area of research has centered on the individual alliance without taking into account the set of alliances that a firm makes. This research applies a holistic approach, analyzing the set of alliances as a whole and points to the factors related to alliance portfolios that affect the choice of partners. The authors propose a longitudinal model that allows us to analyze the evolution of interorganizational networks. A Simulation Investigation for Empirical Network Analysis (SIENA) has been applied to a sample of 229 firms, analyzing 10,556 strategic alliances established between them over a 12 year period. The results show that certain factors over which managers exercise a degree of control (deliberate endogenous microdynamics) exert significant influences on the choice of partners by the focal actor and thereby on the dynamic configuration of alliance portfolios.
publishDate 2014
dc.date.none.fl_str_mv 2014
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/175585
https://doi.org/10.1016/j.emj.2013.06.006
url https://hdl.handle.net/11441/175585
https://doi.org/10.1016/j.emj.2013.06.006
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv European Management Journal, 32 (3), 423-433.
ECO2009-12742
https://doi.org/10.1016/j.emj.2013.06.006
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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