Configuración y desarrollo de capacidades logísticas integradas en estructuras colaborativas de productores agrícolas

dc.contributor.advisorMoreno Mantilla, Carlos Eduardospa
dc.contributor.authorBalcázar Camacho, Delio Alexanderspa
dc.date.accessioned2021-01-29T16:04:03Zspa
dc.date.available2021-01-29T16:04:03Zspa
dc.date.issued2020-12-09spa
dc.description.abstractTwo main approaches to analyze the strategies through which organizations establish their competitive position have been addressed in the literature: the approach based on external forces and the approach based on the theory of resources and organizational capabilities. Within organizational capabilities, logistics capabilities were identified in the 1990s as sources of competitive advantages and superior performance of organizations. Several authors began to classify these capabilities according to customer (demand), operational efficiency (sourcing), information management and other categories. Logistics capabilities have been previously studied in the literature to verify their relationship with operational performance, and the development of capabilities at the supply chain level, such as integrated logistics capabilities. However, the studies have not been conducted in the context of agricultural product supply chains. As a result, this research aims to address integrated logistics capabilities in the context of collaborative structures of agricultural producers, to verify how integrated logistics capabilities are related to the operational performance of agricultural producers. To achieve this goal, a mixed research design of exploratory sequential type, is addressed in the instrument development variant. The selected research design starts from a qualitative phase in which interviews and a literature review are carried out to build and adapt an instrument that was applied in a subsequent quantitative phase. The data were analyzed using a PLS-SEM. As a result of the conducted analysis, it was verified that supply-oriented and information management-oriented logistics capabilities are positively related to integrated logistics capabilities. Also, customer-oriented logistics capabilities and integrated logistics capabilities are positively related to the operational performance of agriculture producers and explain 40% of its operational performance variance.spa
dc.description.abstractEn la literatura se han abordado dos enfoques principales para analizar las estrategias a través de las cuales las organizaciones fijan su posición competitiva: El enfoque basado en las fuerzas externas y el enfoque basado en la teoría de recursos y capacidades organizacionales. Dentro de las capacidades organizacionales, en los años 90s se identificaron las capacidades logísticas como fuentes de ventajas competitivas y desempeño superior de las organizaciones. Varios autores comenzaron a clasificar estas capacidades en función del cliente (la demanda), la eficiencia operativa (abastecimiento), manejo de información y otras categorías de capacidades. Las capacidades logísticas han sido estudiadas previamente en la literatura para verificar su relación con el desempeño operacional, y el desarrollo de capacidades a nivel de cadena de suministro, como las capacidades logísticas integradas. Sin embargo, los estudios en este último campo no han contemplado el contexto de cadenas de suministro de productos agrícolas. En consecuencia, esta investigación se desarrolla desde el contexto de estructuras de colaboración de productores agrícolas, para verificar la manera como se configuran capacidades logísticas integradas y como se relacionan con el desempeño operacional de los productores. Para lograr este objetivo, se aborda un diseño de investigación mixto, de tipo secuencial exploratorio, en la variante de desarrollo de instrumento. En el diseño seleccionado se parte de una fase cualitativa en la que se realizan entrevistas y una revisión de la literatura para construir y adecuar un instrumento que se aplicó en una fase cuantitativa posterior. Los datos fueron analizados utilizando un modelo de ecuaciones estructurales PLS-SEM. Como resultado del análisis se verificó que las capacidades logísticas orientadas al abastecimiento y al manejo de información contribuyen al desarrollo de las capacidades logísticas integradas, y que estas, a su vez, junto con las capacidades logísticas orientadas al cliente, contribuyen a explicar cerca del 40% de la varianza del desempeño operativo de los productores agrícolas.spa
dc.description.additionalLínea de Investigación: Métodos y modelos de optimización y estadística en ingeniería industrial y administrativaspa
dc.description.degreelevelDoctoradospa
dc.format.extent181spa
dc.format.mimetypeapplication/pdfspa
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/78994
dc.language.isospaspa
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotáspa
dc.publisher.programBogotá - Ingeniería - Doctorado en Ingeniería - Industria y Organizacionesspa
dc.relation.referencesAlfonso-Lizarazo, E. H., Montoya-Torres, J. R., & Gutierrez-Franco, E. (2013). Modeling reverse logistics process in the agro-industrial sector: The case of the palm oil supply chain. APPLIED MATHEMATICAL MODELLING, 37(23), 9652–9664. https://doi.org/10.1016/j.apm.2013.05.015spa
dc.relation.referencesAmit, R., & Schoemaker, P. J. H. (1993). Strategic assets and organizational rent. Strategic Management Journal, 14(1), 33–46. https://doi.org/10.2307/2486548spa
dc.relation.referencesArango Serna, M. D., Adarme Jaime, W., & Contreras Portilla, P. (2011). Vendor Managed Inventory (VMI) in micro, small and medium enterprises (MSMEs) - Plantain agricultural-chain. REVISTA FACULTAD DE INGENIERIA-UNIVERSIDAD DE ANTIOQUIA, (59), 181–192.spa
dc.relation.referencesBahadori, R. (2018). Development of a framework for configuring fractal supply networks and logistics capabilities. Sheffield Hallam University. https://doi.org/10.7190/shu-thesis-00116spa
dc.relation.referencesBarney, J. (1991). Firm Resources and Sustained Competitive Advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108spa
dc.relation.referencesBattaglia, M. P. (2008). Nonprobability sampling. In Encyclopedia of survey research methods (pp. 523–526). Sage.spa
dc.relation.referencesBerti, G., & Mulligan, C. (2016). Competitiveness of small farms and innovative food supply chains: The role of food hubs in creating sustainable regional and local food systems. Sustainability (Switzerland), 8(7). https://doi.org/10.3390/su8070616spa
dc.relation.referencesBollen, K. A. (1989). Structural Equations with Latent Variables. John Wiley & Sons, Inc.spa
dc.relation.referencesBosona, T., & Gebresenbet, G. (2013). Food traceability as an integral part of logistics management in food and agricultural supply chain. FOOD CONTROL, 33(1), 32–48. https://doi.org/10.1016/j.foodcont.2013.02.004spa
dc.relation.referencesBrodsky, A. E., Buckingham, S. L., Scheibler, J. E., & Mannarini, T. (2015). Introduction to Qualitative Approaches. In Handbook of Methodological Approaches to Community-Based Research (pp. 13–22). Oxford University Press.spa
dc.relation.referencesBrown, T. A. (2006). Confirmatory factor analysis for applied research.spa
dc.relation.referencesCanavari, M., Centonze, R., Hingley, M., & Spadoni, R. (2010). Traceability as part of competitive strategy in the fruit supply chain. BRITISH FOOD JOURNAL, 112(2–3), 171–186. https://doi.org/10.1108/00070701011018851spa
dc.relation.referencesChen, I. J., & Paulraj, A. (2004). Towards a theory of supply chain management: The constructs and measurements. Journal of Operations Management, 22, 119–150. https://doi.org/10.1016/j.jom.2003.12.007spa
dc.relation.referencesChiadamrong, N., & Sophonsaritsook, P. (2015). Relationships between supply chain capabilities, competitive advantage and business performance: an exploratory study of the food industry in Thailand. International Journal of Logistics Systems and Management, 20(4), 447. https://doi.org/10.1504/IJLSM.2015.068489spa
dc.relation.referencesChopra, S., & Meindl, P. (2007). Supply Chain Management: Strategy, Planning, and Operation. Pearson Prentice Hall.spa
dc.relation.referencesCohen, J. (1988). Statistical power analysis for the behavioral sciences. L. Erlbaum Associates.spa
dc.relation.referencesCooper, D., & Greenaway, M. (2015). Non-probability Survey Sampling in Official Statistics (ONS Methodology Working Paper Series No 4).spa
dc.relation.referencesCooper, M., Lambert, D., & Pagh, J. (1997). Supply chain management: more than a new name for logistics. The International Journal of Logistics Management.spa
dc.relation.referencesCreswell, J. W. (2013). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). London: SAGE Publications Inc.spa
dc.relation.referencesCreswell, J. W., & Plano Clark, V. L. (2017). Designing and conducting mixed methods research (3rd ed.). SAGE Publications.spa
dc.relation.referencesCruijssen, F., Dullaert, W., & Fleuren, H. (2007). Horizontal Cooperation in Transport and Logistics: A Literature Review. Transportation Journal, 46(3), 22–39. https://doi.org/10.2307/20713677spa
dc.relation.referencesDay, G. S. (1994). The Capabilities of Market-Driven Organizations. Journal of Marketing, 58(4), 37. https://doi.org/10.2307/1251915spa
dc.relation.referencesDeVellis, R. F. (2003). Scale development : theory and applications. Sage Publications.spa
dc.relation.referencesDyer, J. H. ., & Singh, H. (1998). The Relational View : Cooperative Strategy and Sources of Interorganizational Competitive Advantage. Academy of Management Review, 23(4), 660–679.spa
dc.relation.referencesEdmonds, W. A., & Kennedy, T. D. (2017). An Applied Guide to Research Designs: Quantitative, Qualitative, and Mixed Methods. Sage Publications.spa
dc.relation.referencesEisenhardt, K. M., & Schoonhoven, C. B. (1996). Resource-based View of Strategic Alliance Formation: Strategic and Social Effects in Entrepreneurial Firms. Organization Science, 7(2), 136–150.spa
dc.relation.referencesFawcett, S. E., Osterhaus, P., Magnan, G. M., Brau, J. C., & McCarter, M. W. (2007). Information sharing and supply chain performance: The role of connectivity and willingness. Supply Chain Management, 12(5), 358–368. https://doi.org/10.1108/13598540710776935spa
dc.relation.referencesGligor, D. M., & Holcomb, M. (2014a). The road to supply chain agility: An RBV perspective on the role of logistics capabilities. International Journal of Logistics Management, 25(1), 160–179. https://doi.org/10.1108/IJLM-07-2012-0062spa
dc.relation.referencesGligor, D. M., & Holcomb, M. C. (2012a). Antecedents and consequences of supply chain agility: Establishing the link to firm performance. Journal of Business Logistics, 33(4), 295–308. https://doi.org/10.1111/jbl.12003spa
dc.relation.referencesGligor, D. M., & Holcomb, M. C. (2012b). Understanding the role of logistics capabilities in achieving supply chain agility: A systematic literature review. Supply Chain Management, 17(4), 438–453. https://doi.org/10.1108/13598541211246594spa
dc.relation.referencesGrant, R. M. (1996). Prospering in Dynamically-competitive Environments: Organizational Capability as Knowledge Integration. Organization Science, 7(4), 13. https://doi.org/10.1287/orsc.7.4.375spa
dc.relation.referencesHair, J. (2014). A primer on partial least squares structural equations modeling (PLS-SEM). SAGE.spa
dc.relation.referencesHair, J. F. J., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis.spa
dc.relation.referencesHernández, R., Fernández, C., & Baptista, P. (2010). Metodología de la investigación (Quinta Edi). McGRAW-Hill Interamericana.spa
dc.relation.referencesHesse, M., & Rodrigue, J. P. (2004). The transport geography of logistics and freight distribution. Journal of Transport Geography, 12(3), 171–184. https://doi.org/10.1016/j.jtrangeo.2003.12.004spa
dc.relation.referencesKline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). The Guilford Press.spa
dc.relation.referencesLai, K.-H. (2004). Service capability and performance of logistics service providers. Transportation Research Part E: Logistics and Transportation Review, 40(5), 385–399. https://doi.org/10.1016/j.tre.2004.01.002spa
dc.relation.referencesKovács, G., & Spens, K. M. (2005). Abductive reasoning in logistics research. International Journal of Physical Distribution & Logistics Management, 35(2), 132–144. https://doi.org/10.1108/09600030510590318spa
dc.relation.referencesLai, K.-H. (2004). Service capability and performance of logistics service providers. Transportation Research Part E: Logistics and Transportation Review, 40(5), 385–399. https://doi.org/10.1016/j.tre.2004.01.002spa
dc.relation.referencesLiu, M., & Fu, S. (2015). Comprehensive Evaluation and Research of the Rural Logistics Capability in Hebei Province, 1–5.spa
dc.relation.referencesMandal, S., Bhattacharya, S., Korasiga, V. R., & Sarathy, R. (2017). The dominant influence of logistics capabilities on integration. International Journal of Disaster Resilience in the Built Environment, 8(4), 357–374. https://doi.org/10.1108/ijdrbe-05-2016-0019spa
dc.relation.referencesMentzer, J., Min, S., & Bobbitt, L. M. (2004). Toward a unified theory of logistics. International Journal of Physical Distribution & Logistics Management, 34(8), 606–627. https://doi.org/10.1108/09600030410557758spa
dc.relation.referencesMentzer, J., Min, S., & Zacharia, Z. G. (2000). The nature of interfirm partnering in supply chain management. Journal of Retailing, 76(4), 549–568. https://doi.org/10.1016/S0022-4359(00)00040-3spa
dc.relation.referencesMentzer, J.T., & Kahn, K. B. (1995). A framework of logistics research. Journal of Business Logistics, 16(1), 231–250.spa
dc.relation.referencesStank, T. P., & Lackey, C. W. (1997). Enhancing performance through logistical capabilities in Mexican maquiladora firms. Journal of Business Logistics, 18(1), 91–123.spa
dc.relation.referencesWu, F., Yeniyurt, S., Kim, D., & Cavusgil, S. T. (2006). The impact of information technology on supply chain capabilities and firm performance: A resource-based view. Industrial Marketing Management, 35, 493–504. https://doi.org/10.1016/j.indmarman.2005.05.003spa
dc.relation.referencesZacharia, Z. G., Nix, N. W., & Lusch, R. F. (2011). Capabilities that enhance outcomes of an episodic supply chain collaboration. Journal of Operations Management, 29(6), 591–603. https://doi.org/10.1016/j.jom.2011.02.001spa
dc.relation.referencesZhao, M., Dröge, C., & Stank, T. P. (2001). The effects of logistics capabilities on firm performance: customer-focused versus information-focused capabilities. Journal of Business Logistics, 22(2), 91–107. https://doi.org/10.1002/j.2158-1592.2001.tb00005.xspa
dc.rightsDerechos reservados - Universidad Nacional de Colombiaspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.licenseAtribución-NoComercial-SinDerivadas 4.0 Internacionalspa
dc.rights.spaAcceso abiertospa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/spa
dc.subject.ddc620 - Ingeniería y operaciones afinesspa
dc.subject.proposalCadena de suministrospa
dc.subject.proposalLogistics capabilitieseng
dc.subject.proposalEcuaciones estructuralesspa
dc.subject.proposalSupply chain managementeng
dc.subject.proposalCapacidades logísticasspa
dc.subject.proposalStructural equation modelingeng
dc.titleConfiguración y desarrollo de capacidades logísticas integradas en estructuras colaborativas de productores agrícolasspa
dc.typeTrabajo de grado - Doctoradospa
dc.type.coarhttp://purl.org/coar/resource_type/c_db06spa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/doctoralThesisspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa

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