dc.creator | Leal Millán, Antonio Genaro | es |
dc.creator | Guadix Martín, José | es |
dc.creator | Criado García-Legaz, Fernando | es |
dc.date.accessioned | 2023-07-19T15:17:00Z | |
dc.date.available | 2023-07-19T15:17:00Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Leal 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.issn | 0040-1625 | es |
dc.identifier.uri | https://hdl.handle.net/11441/148100 | |
dc.description | This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). | es |
dc.description.abstract | Drawing 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.format | application/pdf | es |
dc.format.extent | 14 p. | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Technological Forecasting and Social Change, 192, 122569. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Green image | es |
dc.subject | Green supply chain management practices | es |
dc.subject | Relationship learning | es |
dc.subject | Networking orientation | es |
dc.subject | PLS-SEM | es |
dc.title | From networking orientation to green image: A sequential journey through relationship learning capability and green supply chain management practices. Evidence from the automotive industry | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas II | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Administración de Empresas y Comercialización e Investigación de Mercados (Marketing) | es |
dc.relation.projectID | US-1264451 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0040162523002548 | es |
dc.identifier.doi | 10.1016/j.techfore.2023.122569 | es |
dc.contributor.group | Universidad de Sevilla. TEP127: Ingeniería de Organización | es |
dc.journaltitle | Technological Forecasting and Social Change | es |
dc.publication.volumen | 192 | es |
dc.publication.initialPage | 122569 | es |
dc.contributor.funder | Fondo Europeo de Desarrollo Regional (FEDER) | es |
dc.contributor.funder | Junta de Andalucía | es |