Digital Platforms and Sustainable Supply Chains: Emerging Organizational Models in Developing Economies
Keywords:
Digital platforms, sustainable supply chains, algorithmic governance, smart logistics, emerging economiesAbstract
Objective: To analyze how digital platforms shape emerging organizational models focused on logistics sustainability and business transformation in developing economies, identifying research trends, conceptual convergences, and gaps in recent scientific literature. Methodology: The research was conducted using a qualitative approach through a systematic thematic review of scientific literature indexed in Scopus and published between 2021 and 2025. The analysis incorporated studies related to digital platforms, artificial intelligence, organizational resilience, logistics sustainability, big data, and digital transformation in Latin American and international contexts. Results and conclusions: The results showed that digital platforms optimize traceability, strengthen interorganizational collaboration, and improve decision-making through data-driven systems, with a growing convergence between artificial intelligence, automation, and big data. It is concluded that organizations in emerging economies are moving toward hybrid models of digital governance where sustainability, innovation, and technological transformation operate in an integrated manner, although challenges persist in technological regulation, algorithmic ethics, and digital infrastructure.
References
Acosta Fernández, Y., Fontes Marrero, D., & Martínez-Montero, M. E. (2021). Liquid nitrogen as promotor of seeds germination and seedling growth in tropical legumes. INGE CUC, 17(2), 1–10. https://doi.org/10.17981/ingecuc.17.2.2021.01
Arango, D. G. (2025). AI-Driven Sustainability Strategies: A Business Model for Emerging Economies. International Journal of Management Science and Operations Research, 10(1), 22-38.
Arrieta Arrieta, C., & Monroy Peñate, M. C. (2022). Estrategias de trading como métodos de inversión. International Journal of Management Science & Operation Research (IJMSOR), 7(1), 34–43.
Baffoe, B. O. K., & Luo, W. (2024). Receptivity of Eastern and Southern African English-Speaking Countries’ Executives to Use, Diffuse and Adopt Humanitarian Logistics Digital Business Ecosystem. Springer Proceedings in Business and Economics.
Böttcher, T. P., Empelmann, S., Weking, J., Hein, A., & Böhm, M. (2024). Digital sustainable business models: Using digital technology to integrate ecological sustainability into the core of business models. Information Systems Journal.
Calderón Guzmán, A. (2024). Aplicaciones de inteligencia artificial para la toma de decisiones estratégicas empresariales. International Journal of Management Science and Operations Research, 9(1), 157–170.
Carmona Campos, C., & Roman, F. (2025). Digital transformation and organizational resilience: Post-pandemic management lessons from Latin America. International Journal of Management Science and Operations Research, 10(1), 5–19.
Carreón Muñoz, E. (2024). Knowledge Management in Post-Pandemic Organizations. International Journal of Management Science and Operations Research, 9(1), 17-27. https://doi.org/10.17981/ijmsor.v9i1.144
Castellanos Gonzalez, L., Céspedes Novoa, N., & Baldovino Sanjuan, A. (2020). Alternativas orgánicas para el logro de producciones más limpias de la fresa en Pamplona, Norte de Santander. INGE CUC, 16(1), 187–196. https://doi.org/10.17981/ingecuc.16.1.2020.14
Castro Villacob, M. (2024). Integración de cadenas de suministro sostenibles a través de plataformas digitales. International Journal of Management Science and Operations Research, 9(1), 104-119.
Gacia Arango, D. (2025). AI-driven sustainability strategies: A business model for emerging economies. International Journal of Management Science and Operations Research, 10(1), 20–34.
Gomez Puentes, E. (2024). AI-driven Strategies for Sustainable Business Innovation. International Journal of Management Science and Operations Research, 9(1), 5-16. https://doi.org/10.17981/ijmsor.v9i1.143
González-Pedraza, A. F., Chiquillo Barrios, Y. A., & Escalante, J. C. (2022). Soil salinization in agricultural areas of the Caribbean region and agroecological recovery strategies. Review. INGE CUC, 18(1), 14–26. https://doi.org/10.17981/ingecuc.18.1.2022.02
Grimaldo, G., Quintero, D. M. D., & Saldivia, X. D. C. G. (2022). Conceptual elements of innovation and management in classroom projects. International Journal of Management Science and Operations Research, 7(1), 1-6.
ISCDTE. (2024). Proceedings of the 11th International Scientific Conference on Digital Transformation of the Economy: Challenges, Trends and New Opportunities. Lecture Notes in Networks and Systems.
Londoño Tamayo, D. C., López Lezama, J. M., & Villa Acevedo, W. M. (2021). Mean-variance mapping optimization algorithm applied to the optimal reactive power dispatch. INGE CUC, 17(1), 239–255. https://doi.org/10.17981/ingecuc.17.1.2021.19
Marin Meza, A., & Patiño Quiceno, A. (2025). Strategic Knowledge Management in SMEs: Critical Factors for Sustainable Innovation. International Journal of Management Science and Operations Research, 10(1), 113-126. https://doi.org/10.17981/ijmsor.v10i1.139
Mukerji, M., & Roy, P. S. (2024). Platform interactions and evolution of Ola's organizational field. Australasian Journal of Information Systems.
Pereira, M., Pina, L., Reis, B., Miguel, R., Silva, F., & Rocha, Á. (2024). Digital Technology for Global Supply Chain in Fashion: A Contribution for Sustainability Development. En Technology-Driven Sustainability: Innovation in Business and Engineering.
Pimiento, K., & Cárdenas, M. J. (2020). Evaluación del tratamiento preliminar y primario para las aguas residuales del procesamiento industrial de alimentos en La Grita (Venezuela). INGE CUC, 17(1), 1–14. https://doi.org/10.17981/ingecuc.17.1.2021.01
Piñeros Rodríguez, C. A., Sierra Martínez, L. M., Peluffo Ordóñez, D. H., & Timana Peña, J. A. (2023). Effort estimation in agile software development: A systematic map study. INGE CUC, 19(1), 22–36. https://doi.org/10.17981/ingecuc.19.1.2023.03
Rangel Mendez, B. (2025). Algorithmic Governance and Digital Ethics: An Organizational Approach to Automated Decision-Making. International Journal of Management Science and Operations Research, 10(1), 86-97. https://doi.org/10.17981/ijmsor.v10i1.137
Rodríguez Alvarez, E., Ballesteros, M., & Rangel, B. (2022). Propuesta de implementación de la contabilidad verde en la Empresa Daicon Inmobiliaria y Constructora S.A.S. International Journal of Management Science & Operation Research (IJMSOR), 7(1), 14–24.
Siegele, D., Emig, J., Slongo, C., & Matt, D. T. (2024). Advancing Construction Efficiency Through Collaborative Robotics: A Scalable Multi-agent-Based Logistics Solution. Lecture Notes in Civil Engineering.
Silva Oliveira, M. (2024). Uso de gemelos digitales en manufactura inteligente: Casos en México, Brasil y Colombia. International Journal of Management Science and Operations Research, 9(1), 19–32.
Taniguchi, E., Thompson, R. G., & Qureshi, A. G. (2023). Urban Freight Analytics: Big Data, Models, and Artificial Intelligence. Elsevier.
Valencia, A., & Gallegos, A. (2024). Uso de Big Data para medir impactos sociales y económicos de políticas públicas. International Journal of Management Science and Operations Research, 9(1), 40–51.
