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dc.rights.licenseAtribución-NoComercial-SinDerivadas 4.0 Internacional
dc.contributor.advisorChica Mesa, Juan Carlos
dc.contributor.advisorDakduk, Silvana
dc.contributor.authorArosa Carrera, Charles Robin
dc.date.accessioned2022-08-01T21:50:42Z
dc.date.available2022-08-01T21:50:42Z
dc.date.issued2022
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/81764
dc.descriptiongráficos, tablas
dc.description.abstractLos productores agrícolas enfrentan dificultades para acceder a fuentes que fomenten la innovación tecnológica y conlleven a una mayor competitividad. Una de las fuentes de innovación disponibles en el territorio regional son las relaciones comerciales, a través de las cuales se hace uso del capital relacional del agronegocio para generar nuevo conocimiento entre los actores que hacen parte de la cadena de suministro, tales como los proveedores. Sin embargo, esta transferencia de conocimiento puede estar condicionada por la calidad de la relación entre dichos actores. Por este motivo, se hace necesario estudiar la innovación desde el paradigma del marketing relacional, con el propósito de investigar cómo la calidad de las relaciones comerciales con los proveedores afecta el nivel de innovación tecnológica en el productor. Para tal fin, se plantea un modelo teórico entre la calidad de la relación comercial y la innovación tecnológica, el cual se evalúa de forma empírica a partir de una muestra de 250 productores. Adicionalmente, dentro del modelo se valora el efecto mediador de la colaboración y se exploran los efectos moderadores de algunas variables características del sector agrícola; estos procedimientos se realizan principalmente con el método de mínimos cuadrados parciales (PLS-SEM) en modelos de ecuaciones estructurales. Los resultados permiten concluir que existe una relación directa y positiva entre la calidad de la relación comercial con los proveedores y las variables que impactan la innovación tecnológica en los agronegocios. De igual forma, se evidencia un efecto mediador de la coinnovación y se identifica que tanto el tiempo de la relación, como el tamaño del productor y la propiedad de la tierra actúan como variables moderadoras. Los aportes de la investigación complementan la teoría del marketing relacional y de la innovación en la cadena de suministro. Se sugiere seguir investigando acerca de la aplicación del modelo desde otras perspectivas relacionales y evaluar el modelo en diferentes contextos de investigación. (Texto tomado de la fuente)
dc.description.abstractAgricultural producers face difficulties accessing resources that foster technological innovation and lead to greater competitiveness. Business relationships are among the sources of innovation available to producers in the regional territory. Through these relationships, the relational capital of agribusiness is used to generate new knowledge between the supply chain actors, including the suppliers. However, this knowledge transfer may be conditioned by the relationship quality between these actors. For this reason, it becomes pertinent to research innovation from the relational marketing paradigm to investigate how the quality of business relationships with suppliers affects the level of technological innovation developed by the producer. To this end, a theoretical model was proposed between the quality of the business relationship and technological innovation and was empirically evaluated from a sample of 250 producers. Additionally, the mediating effect of collaboration is assessed, and the moderating effects of some characteristic variables of the agricultural sector are explored within the model. These analyzes are performed using partial least squares path modeling (PLS-SEM) in structural equation models. The results allow us to conclude that there is a direct and positive relationship between the quality of the business relationship with suppliers and the variables that impact technological innovation in agribusiness. Similarly, the mediating effect of co-innovation is evidenced, and the length of the relationship, the size of the producer, and who holds ownership of the land act as moderating variables. The contributions of the present research complement the theory of relationship marketing and innovation in the supply chain. Further research into the application of the model from other relational perspectives and the evaluation of the model in different research contexts are suggested.
dc.format.extentxiv, 285 páginas
dc.format.mimetypeapplication/pdf
dc.language.isospa
dc.publisherUniversidad Nacional de Colombia
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.ddc330 - Economía::338 - Producción
dc.titleLa calidad de la relación comercial entre el proveedor y el productor agrícola y su efecto en la innovación tecnológica
dc.typeTrabajo de grado - Doctorado
dc.type.driverinfo:eu-repo/semantics/doctoralThesis
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dc.publisher.programManizales - Administración - Doctorado en Administración
dc.contributor.researchgroupFinanzas y Marketing
dc.description.degreelevelDoctorado
dc.description.degreenameDoctor en Administración
dc.description.methodsLa presente investigación aplicó un método hipotético-deductivo, el cual sugiere el planteamiento de hipótesis a partir de la teoría que son demostrables empíricamente. Su enfoque es cuantitativo, en la modalidad explicativo (Saunders et al., 2016). En esta misma línea, el presente estudio tiene un diseño ex post facto de campo, no experimental, cuya aplicación permite descubrir las relaciones entre las variables, en una situación en que estas ya han ocurrido y no son manipuladas por el investigador (Kerlinger & Lee, 2002). la técnica que se utilizó para la presente investigación es a través de ecuaciones estructurales con el procedimiento de mínimos cuadrados parciales (PLS-SEM), por su robustez ante situaciones de incertidumbre, poca madurez teórica y ausencia en el cumplimiento de los supuestos clásicos (Fornell & Bookstein, 1982; Haenlein & Kaplan, 2004; Joseph F Hair et al., 2019). El PLS-SEM, también es adecuado para modelos exploratorios, cuyo objetivo es la predicción del constructo ( Hair et al., 2019; Leguina, 2015); es decir, que la técnica estadística evalúa el modelo con el fin de determinar si puede predecir futuras observaciones.
dc.description.researchareaGestión de las organizaciones
dc.identifier.instnameUniversidad Nacional de Colombia
dc.identifier.reponameRepositorio Institucional Universidad Nacional de Colombia
dc.identifier.repourlhttps://repositorio.unal.edu.co/
dc.publisher.departmentDepartamento de Administración
dc.publisher.facultyFacultad de Administración
dc.publisher.placeManizales, Colombia
dc.publisher.branchUniversidad Nacional de Colombia - Nivel Nacional
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dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.subject.proposalCalidad de la relación
dc.subject.proposalMarketing relacional
dc.subject.proposalInnovación tecnológica
dc.subject.proposalAgronegocios
dc.subject.proposalCoinnovación
dc.subject.proposalProductor agrícola
dc.subject.proposalProveedor
dc.subject.proposalRelationship quality
dc.subject.proposalTechnological innovation
dc.subject.proposalRelationship marketing
dc.subject.proposalCo-innovation
dc.subject.proposalAgribusiness
dc.subject.proposalagricultural producer
dc.subject.proposalSupplier
dc.subject.unescoAgroindustria
dc.subject.unescoAgroindustry
dc.title.translatedThe quality of the business relationship between the supplier and the agricultural producer and its effect on technological innovation
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dcterms.audience.professionaldevelopmentAdministradores
dcterms.audience.professionaldevelopmentEstudiantes
dcterms.audience.professionaldevelopmentInvestigadores
dc.description.curricularareaAdministración. Sede Manizales


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