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dc.creatorLeal Millán, Antonio Genaroes
dc.creatorGuadix Martín, Josées
dc.creatorCriado García-Legaz, Fernandoes
dc.date.accessioned2023-07-19T15:17:00Z
dc.date.available2023-07-19T15:17:00Z
dc.date.issued2023
dc.identifier.citationLeal Millán, A.G., Guadix Martín, J. y Criado García-Legaz, F. (2023). From networking orientation to green image: A sequential journey through relationship learning capability and green supply chain management practices. Evidence from the automotive industry. Technological Forecasting and Social Change, 192, 122569. https://doi.org/10.1016/j.techfore.2023.122569.
dc.identifier.issn0040-1625es
dc.identifier.urihttps://hdl.handle.net/11441/148100
dc.descriptionThis is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).es
dc.description.abstractDrawing on the resource-based view of the firm (RBV) and resources and capabilities theory, this study develops a model that extends our understanding of the mechanisms through which strategic assets, capabilities, and green supply chain management practices (GSCMP) contribute to green image (GI). The model comprises (i) two new antecedents of GSCMP: relationship learning capability (RL) and strategic networking orientation (NO), and (ii) the direct and mediated impacts of GSCMP and their antecedents on firms' GI. To empirically study the proposed relationships, data were collected from 106 Spanish firms in the automotive industry and analyzed using partial least squares structural equation modelling (PLS-SEM). The results indicate that NO, RL capability, and GSCMP positively affect GI through a sequential mediation relationship. An important implication is the identification of a stream of research proposing that GSCMP act similarly to a lower-order capability and that it is the interaction with other ordinary capabilities that can contribute to improving the green image.es
dc.formatapplication/pdfes
dc.format.extent14 p.es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofTechnological Forecasting and Social Change, 192, 122569.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectGreen imagees
dc.subjectGreen supply chain management practiceses
dc.subjectRelationship learninges
dc.subjectNetworking orientationes
dc.subjectPLS-SEMes
dc.titleFrom networking orientation to green image: A sequential journey through relationship learning capability and green supply chain management practices. Evidence from the automotive industryes
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas IIes
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Administración de Empresas y Comercialización e Investigación de Mercados (Marketing)es
dc.relation.projectIDUS-1264451es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0040162523002548es
dc.identifier.doi10.1016/j.techfore.2023.122569es
dc.contributor.groupUniversidad de Sevilla. TEP127: Ingeniería de Organizaciónes
dc.journaltitleTechnological Forecasting and Social Changees
dc.publication.volumen192es
dc.publication.initialPage122569es
dc.contributor.funderFondo Europeo de Desarrollo Regional (FEDER)es
dc.contributor.funderJunta de Andalucíaes

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