Mostrar el registro sencillo del ítem

Fuerzas Militares en conflictos de zona gris: influencia de la logística como capacidad dinámica

dc.creatorAristizabal Murillo, Juan Carlos
dc.date2025-06-30
dc.date.accessioned2025-09-24T21:23:10Z
dc.date.available2025-09-24T21:23:10Z
dc.identifierhttps://esdegrevistas.edu.co/index.php/rpod/article/view/4969
dc.identifier10.25062/2955-0289.4969
dc.identifier.urihttps://hdl.handle.net/20.500.14205/11660
dc.descriptionConflicts are transforming from kinetic to non-kinetic, meaning they do not employ tools of direct physical violence. This is the case with gray zone threats, which leads, also from the logistics perspective, to seek strategies to help address these threats. Therefore, the objective of this review is to analyze the influence of logistics as a dynamic capability of the Military Forces on gray zone threats through specific cases. To achieve this objective, the PRISMA 2020 methodology was used. The main findings were that there are different threats in gray zone conflicts, such as: ethnic conflicts, active total defense to confront various attacks, reduction of fishing space, energy as a crucial sector of economic tools, and militarization of trade.en-US
dc.descriptionLos conflictos se están transformando de cinéticos a no cinéticos, es decir, que no emplean herramientas de violencia física directa. Tal es el caso de las amenazas en zona gris, lo que hace que, también desde la logística, se busquen estrategias que ayuden a enfrentar dichas amenazas. Por ello, el objetivo de esta revisión es analizar la influencia de la logística como capacidad dinámica de las Fuerzas Militares en amenazas en zona gris a través de casos puntuales. Para alcanzar el objetivo, se empleó la metodología PRISMA 2020. Los hallazgos principales fueron que existen diferentes amenazas en conflictos de zona gris, como: conflictos étnicos, defensa total activa para hacer frente a ataques diversos, reducción del espacio pesquero, energía como el sector crucial de las herramientas económicas y militarización del comercio.es-ES
dc.formatapplication/pdf
dc.languagespa
dc.publisherSello Editorial ESDEGes-ES
dc.relationhttps://esdegrevistas.edu.co/index.php/rpod/article/view/4969/5410
dc.relation/*ref*/Badakhshan, E., & Ball, P. (2024). Deploying hybrid modelling to support the development of a digital twin for supply chain master planning under disruptions. International Journal of Production Research, 62(10), 3606-3637. https://doi.org/10.1080/00207543.2023.2244604
dc.relation/*ref*/Barreto, I. (2010). Dynamic capabilities: A review of past research and an agenda for the future. Journal of Management, 36(1), 256-280. https://doi.org/10.1177/0149206309350776
dc.relation/*ref*/Belo, D., & Carment, D. (2023). Ethnic conflict and modern warfare. En Routledge handbook of the future of warfare. Routledge.
dc.relation/*ref*/Cannas, V. G., Ciano, M. P., Saltalamacchia, M., & Secchi, R. (2024). Artificial intelligence in supply chain and operations management: A multiple case study research. International Journal of Production Research, 62(9), 3333-3360. https://doi.org/10.1080/00207543.2023.2232050
dc.relation/*ref*/Castañé, G., Dolgui, A., Kousi, N., Meyers, B., Thevenin, S., Vyhmeister, E., & Östberg, P.-O. (2023). The ASSISTANT project: AI for high level decisions in manufacturing. International Journal of Production Research, 61(7), 2288-2306. https://doi.org/10.1080/00207543.2022.2069525
dc.relation/*ref*/Chen, W.-C., Ou, C.-H., Yang, M.-H., & Shih, Y.-C. (2024). China’s gray zone actions in the East China Sea, Taiwan Strait, and South China Sea: A comparative study and impact on fisheries. Marine Policy, 167, 106246. https://doi.org/10.1016/j.marpol.2024.106246
dc.relation/*ref*/Easterby-Smith, M., Lyles, M. A., & Peteraf, M. A. (2009). Dynamic capabilities: Current debates and future directions. British Journal of Management, 20(s1), S1-S8. https://doi.org/10.1111/j.1467-8551.2008.00609.x
dc.relation/*ref*/Enamorado, J., & Jesús, J. (2020). International competition below the threshold of war: Toward a theory of gray zone conflict. https://doi.org/10.5038/1944-0472.14.1.1836
dc.relation/*ref*/Geri, M. (2024). Understanding Russian hybrid warfare against Europe in the energy sector and in the future ‘energy-resources-climate’ security nexus. Journal of Strategic Security, 17(3), 15-34. [suspicious link removed]
dc.relation/*ref*/Ii, A. J. E. (2025). Operating in the gray zone: An alternative paradigm for U.S. military strategy.
dc.relation/*ref*/Kohtamäki, M., Parida, V., Oghazi, P., Gebauer, H., & Baines, T. (2019). Digital servitization business models in ecosystems: A theory of the firm. Journal of Business Research, 104, 380-392. https://doi.org/10.1016/j.jbusres.2019.06.027
dc.relation/*ref*/Kurtmollaiev, S. (2020). Dynamic capabilities and where to find them. Journal of Management Inquiry, 29(1), 3-16. https://doi.org/10.1177/1056492617730126
dc.relation/*ref*/Ljungkvist, K. (2024). The military-strategic rationality of hybrid warfare: Everyday total defence under strategic non-peace in the case of Sweden. European Journal of International Security, 9(4), 533-552. https://doi.org/10.1017/eis.2024.18
dc.relation/*ref*/McDonagh, N., & Bachmann, S.-D. D. (2025). Economic coercion and gray zone competition: Reassessing the China-Australia case. Pacific Affairs, 98(1), 53-77. https://doi.org/10.5509/2025981-art5
dc.relation/*ref*/Merhi, M. I., & Harfouche, A. (2024). Enablers of artificial intelligence adoption and implementation in production systems. International Journal of Production Research, 62(15), 5457-5471. https://doi.org/10.1080/00207543.2023.2167014
dc.relation/*ref*/Morris, L., Mazarr, M., Hornung, J., Pezard, S., Binnendijk, A., & Kepe, M. (2019). Gaining competitive advantage in the gray zone: Response options for coercive aggression below the threshold of major war. RAND Corporation. https://doi.org/10.7249/RR2942
dc.relation/*ref*/Olan, F., Liu, S., Suklan, J., Jayawickrama, U., & Arakpogun, E. O. (2022). The role of Artificial Intelligence networks in sustainable supply chain finance for food and drink industry. International Journal of Production Research, 60(14), 4418-4433. https://doi.org/10.1080/00207543.2021.1915510
dc.relation/*ref*/Onditi, F., McLarren, K., Ben-Nun, G., Stivachtis, Y. A., & Okoth, P. (Eds.). (2023). The Palgrave handbook of diplomatic thought and practice in the digital age. Springer International Publishing. https://doi.org/10.1007/978-3-031-28214-0
dc.relation/*ref*/Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., & Alonso-Fernández, S. (2021). Declaración PRISMA 2020: Una guía actualizada para la publicación de revisiones sistemáticas. Revista Española de Cardiología, 74(9), 790-799. https://doi.org/10.1016/j.recesp.2021.06.016
dc.relation/*ref*/Papadopoulos, T., Sivarajah, U., Spanaki, K., Despoudi, S., & Gunasekaran, A. (2022). Editorial: Artificial intelligence (AI) and data sharing in manufacturing, production, and operations management research. International Journal of Production Research, 60(14), 4361-4364. https://doi.org/10.1080/00207543.2021.2010979
dc.relation/*ref*/Sharma, R., Kamble, S. S., Gunasekaran, A., Kumar, V., & Kumar, A. (2020). A systematic literature review on machine learning applications for sustainable agriculture supply chain performance. Computers & Operations Research, 119, 104926. https://doi.org/10.1016/j.cor.2020.104926
dc.relation/*ref*/Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319-1350. https://doi.org/10.1002/smj.640
dc.relation/*ref*/Wang, C. L., & Ahmed, P. K. (2007). Dynamic capabilities: A review and research agenda. International Journal of Management Reviews, 9(1), 31-51. https://doi.org/10.1111/j.1468-2370.2007.00201.x
dc.relation/*ref*/Yu, M., & Cao, E. (2020). Information sharing format and carbon emission abatement in a supply chain with competition. International Journal of Production Research, 58(22), 6775-6790. https://doi.org/10.1080/00207543.2019.1685704
dc.relation/*ref*/Zollo, M., & Winter, S. G. (2002). Deliberate learning and the evolution of dynamic capabilities. Organization Science, 13(3), 339-351. https://doi.org/10.1287/orsc.13.3.339.2780
dc.relation/*ref*/Badakhshan, E., & Ball, P. (2024). Deploying hybrid modelling to support the development of a digital twin for supply chain master planning under disruptions. International Journal of Production Research, 62(10), 3606-3637. https://doi.org/10.1080/00207543.2023.2244604
dc.relation/*ref*/Barreto, I. (2010). Dynamic capabilities: A review of past research and an agenda for the future. Journal of Management, 36(1), 256-280. https://doi.org/10.1177/0149206309350776
dc.relation/*ref*/Belo, D., & Carment, D. (2023). Ethnic conflict and modern warfare. En Routledge handbook of the future of warfare. Routledge.
dc.relation/*ref*/Cannas, V. G., Ciano, M. P., Saltalamacchia, M., & Secchi, R. (2024). Artificial intelligence in supply chain and operations management: A multiple case study research. International Journal of Production Research, 62(9), 3333-3360. https://doi.org/10.1080/00207543.2023.2232050
dc.relation/*ref*/Castañé, G., Dolgui, A., Kousi, N., Meyers, B., Thevenin, S., Vyhmeister, E., & Östberg, P.-O. (2023). The ASSISTANT project: AI for high level decisions in manufacturing. International Journal of Production Research, 61(7), 2288-2306. https://doi.org/10.1080/00207543.2022.2069525
dc.relation/*ref*/Chen, W.-C., Ou, C.-H., Yang, M.-H., & Shih, Y.-C. (2024). China’s gray zone actions in the East China Sea, Taiwan Strait, and South China Sea: A comparative study and impact on fisheries. Marine Policy, 167, 106246. https://doi.org/10.1016/j.marpol.2024.106246
dc.relation/*ref*/Easterby-Smith, M., Lyles, M. A., & Peteraf, M. A. (2009). Dynamic capabilities: Current debates and future directions. British Journal of Management, 20(s1), S1-S8. https://doi.org/10.1111/j.1467-8551.2008.00609.x
dc.relation/*ref*/Enamorado, J., & Jesús, J. (2020). International competition below the threshold of war: Toward a theory of gray zone conflict. https://doi.org/10.5038/1944-0472.14.1.1836
dc.relation/*ref*/Geri, M. (2024). Understanding Russian hybrid warfare against Europe in the energy sector and in the future ‘energy-resources-climate’ security nexus. Journal of Strategic Security, 17(3), 15-34. [suspicious link removed]
dc.relation/*ref*/Ii, A. J. E. (2025). Operating in the gray zone: An alternative paradigm for U.S. military strategy.
dc.relation/*ref*/Kohtamäki, M., Parida, V., Oghazi, P., Gebauer, H., & Baines, T. (2019). Digital servitization business models in ecosystems: A theory of the firm. Journal of Business Research, 104, 380-392. https://doi.org/10.1016/j.jbusres.2019.06.027
dc.relation/*ref*/Kurtmollaiev, S. (2020). Dynamic capabilities and where to find them. Journal of Management Inquiry, 29(1), 3-16. https://doi.org/10.1177/1056492617730126
dc.relation/*ref*/Ljungkvist, K. (2024). The military-strategic rationality of hybrid warfare: Everyday total defence under strategic non-peace in the case of Sweden. European Journal of International Security, 9(4), 533-552. https://doi.org/10.1017/eis.2024.18
dc.relation/*ref*/McDonagh, N., & Bachmann, S.-D. D. (2025). Economic coercion and gray zone competition: Reassessing the China-Australia case. Pacific Affairs, 98(1), 53-77. https://doi.org/10.5509/2025981-art5
dc.relation/*ref*/Merhi, M. I., & Harfouche, A. (2024). Enablers of artificial intelligence adoption and implementation in production systems. International Journal of Production Research, 62(15), 5457-5471. https://doi.org/10.1080/00207543.2023.2167014
dc.relation/*ref*/Morris, L., Mazarr, M., Hornung, J., Pezard, S., Binnendijk, A., & Kepe, M. (2019). Gaining competitive advantage in the gray zone: Response options for coercive aggression below the threshold of major war. RAND Corporation. https://doi.org/10.7249/RR2942
dc.relation/*ref*/Olan, F., Liu, S., Suklan, J., Jayawickrama, U., & Arakpogun, E. O. (2022). The role of Artificial Intelligence networks in sustainable supply chain finance for food and drink industry. International Journal of Production Research, 60(14), 4418-4433. https://doi.org/10.1080/00207543.2021.1915510
dc.relation/*ref*/Onditi, F., McLarren, K., Ben-Nun, G., Stivachtis, Y. A., & Okoth, P. (Eds.). (2023). The Palgrave handbook of diplomatic thought and practice in the digital age. Springer International Publishing. https://doi.org/10.1007/978-3-031-28214-0
dc.relation/*ref*/Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., & Alonso-Fernández, S. (2021). Declaración PRISMA 2020: Una guía actualizada para la publicación de revisiones sistemáticas. Revista Española de Cardiología, 74(9), 790-799. https://doi.org/10.1016/j.recesp.2021.06.016
dc.relation/*ref*/Papadopoulos, T., Sivarajah, U., Spanaki, K., Despoudi, S., & Gunasekaran, A. (2022). Editorial: Artificial intelligence (AI) and data sharing in manufacturing, production, and operations management research. International Journal of Production Research, 60(14), 4361-4364. https://doi.org/10.1080/00207543.2021.2010979
dc.relation/*ref*/Sharma, R., Kamble, S. S., Gunasekaran, A., Kumar, V., & Kumar, A. (2020). A systematic literature review on machine learning applications for sustainable agriculture supply chain performance. Computers & Operations Research, 119, 104926. https://doi.org/10.1016/j.cor.2020.104926
dc.relation/*ref*/Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319-1350. https://doi.org/10.1002/smj.640
dc.relation/*ref*/Wang, C. L., & Ahmed, P. K. (2007). Dynamic capabilities: A review and research agenda. International Journal of Management Reviews, 9(1), 31-51. https://doi.org/10.1111/j.1468-2370.2007.00201.x
dc.relation/*ref*/Yu, M., & Cao, E. (2020). Information sharing format and carbon emission abatement in a supply chain with competition. International Journal of Production Research, 58(22), 6775-6790. https://doi.org/10.1080/00207543.2019.1685704
dc.relation/*ref*/Zollo, M., & Winter, S. G. (2002). Deliberate learning and the evolution of dynamic capabilities. Organization Science, 13(3), 339-351. https://doi.org/10.1287/orsc.13.3.339.2780
dc.rightsDerechos de autor 2025 Revista Estrategia, Poder y Desarrolloes-ES
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0es-ES
dc.sourceEstrategia, Poder y Desarrollo; Vol. 4 No. 7 (2025): Desafíos globales de seguridad, desarrollo y cooperación; 57-64en-US
dc.sourceRevista Estrategia, Poder y Desarrollo; Vol. 4 Núm. 7 (2025): Desafíos globales de seguridad, desarrollo y cooperación; 57-64es-ES
dc.source2981-4863
dc.source2955-0289
dc.subjectamenazases-ES
dc.subjectcapacidades dinámicases-ES
dc.subjectconflicto en zona grises-ES
dc.subjectguerra híbridaes-ES
dc.subjectlogísticaes-ES
dc.subjectthreatsen-US
dc.subjectdynamic capabilitiesen-US
dc.subjectgray zone conflicten-US
dc.subjecthybrid warfareen-US
dc.subjectlogisticsen-US
dc.titleMilitary Forces in gray zone conflicts: influence of logistics as dynamic capabilityen-US
dc.titleFuerzas Militares en conflictos de zona gris: influencia de la logística como capacidad dinámicaes-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


Ficheros en el ítem

FicherosTamañoFormatoVer

No hay ficheros asociados a este ítem.

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem