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Slide 1 of 5 Publicación Acceso Abierto
A methodological benchmarking approach for digital maturity models
(Foresight and STI Governance, 2026-05-29) Viloria Núñez, Cesar Augusto; FERNANDEZ MARQUEZ, CARLOS MANUEL; VAZQUEZ HERNANDEZ, FRANCISCO JOSE; Grupo de Investigación Tecnologías Aplicadas y Sistemas de Información (GRITAS)
Digital maturity models are increasingly used by organizations to evaluate their transformation capabilities and define strategic roadmaps. However, despite their popularity, little is known about the consistency and psychometric soundness of the most widely adopted self-assessment instruments. This study has two objectives: (1) to empirically demonstrate that the results obtained from different digital maturity questionnaires vary significantly for the same organization, and (2) to establish an objective benchmarking framework to evaluate the quality of these tools. The analysis focuses on three prominent models: PwC, MinTIC & iNNpulsa, and MIT & Capgemini. Based on a structured case study and survey responses from 90 non-expert participants and 15 digital transformation experts, we assess each instrument using four key criteria: uncertainty, internal consistency, theoretical validity, and suitability for self-assessment. Results reveal statistically significant discrepancies between instruments and highlight the limitations of relying on unvalidated tools for strategic decision-making. The proposed benchmarking framework offers a practical and replicable approach to guide the selection and development of digital maturity instruments, especially in resource-constrained contexts such as small and medium-sized enterprises (SMEs).
Slide 2 of 5 Publicación Acceso Abierto
Platform architecture approach for managing traceability, visibility, and risk management in freight transportation
(Universidad Politécnica Salesiana, 2026-05-28) Quiroga-Amaya, Jonathan; Sacoto-Cabrera, Erwin; Tafur-Landazabal, Katiana; Castellanos-Ramirez, Andres; Estrada Gallardo, Jesús Andrés; Viloria Núñez, Cesar Augusto; Grupo de Investigación Tecnologías Aplicadas y Sistemas de Información (GRITAS)
Freight transportation is one of the largest and fastest-growing industries in the world. The movement of goods is a complex process that involves a wide variety of factors, including environmental factors and transportation routes. This paper proposes a comprehensive platform architecture that integrates real-time tracking, data collection, AI-based analytics, risk management, and liability-based decision making. The proposed platform consists of six interconnected components designed to improve traceability, visibility, and risk management in freight transport. The core components of the proposed platform are realtime tracking, geolocation tracking, user interfaces, liability considerations, and telemetry data collection. The model consists of six components that enable dynamic monitoring and management of freight movement throughout the supply chain. The first component is tracking, and the second focuses on the risk assessment algorithm to evaluate the impact of environmental factors on transportation routes. The third component is liability, providing a robust framework for aligning logistics operations with legal, ethical, and safety standards. Finally, the proposed model offers a vision for a more efficient, secure, and compliant logistics industry. This research lays the foundation for the continued evolution of modern freight transportation systems by integrating advanced technologies and addressing the complexities of the field.
Slide 3 of 5 Publicación Acceso Abierto
Co-pyrolysis of plastic-and-biomass waste: current insights into chemical recycling toward fuel generation in Latin America
(ACS Applied Polymer Materials, 2026-08-12) Medina-Guerrero, Astrid; Castilla Caballero, Deyler Rafael; Buelvas Hernández, Ana Margarita; Fajardo Cuadro, Juan Gabriel; Grupo de Investigación Sistemas Ambientales e Hidráulicos (GISAH); Grupo de Investigación Energías Alternativas y Fluidos (EOLITO); Semillero de Investigación en Reacciones y Procesos Fisicoquímicos para Remediación Ambiental
Pyrolysis and catalytic co-pyrolysis are promising technologies to transform plastic and biomass waste into low molecular-weight fuels such as hydrogen or methane in Latin America. They have shown outstanding potential to overcome waste pollution while generating energy and profit. Nevertheless, pyrolysis is underrepresented in projected low-carbon energy scenarios. Consequently, this review aims to identify the current trends in the use of pyrolysis-based processes for the transformation of biomass and plastics into energy and value-added products and its potential introduction in the circular value chain in Latin America. We made a bibliometric analysis to elucidate research trends in the area, resulting in 7 main pillars: production of biofuels, aromatics, and biochar; kinetic and thermo-economic analysis; and the application of artificial intelligence (AI) for predicting gas and bio-oil yields. Furthermore, it was found that scientific publications on catalytic co-pyrolysis in Latin America are scarce. Conversely, the countries dominating the literature in this area China, India, and the United States, contributing, respectively, to the 48%, 14%, and 11% of the global publications in the 2021–2025 period. Results also revealed a substantial increase in scientific production after 2022, reaching a peak of 123 publications in both 2024 and 2025. Despite this, their findings are useful for adapting processes in Latin America. Colombia and Brazil, for example, could benefit from this platform, since pyrolysis of biomass and plastic waste are already being implemented. Additionally, their policies regarding the management of biomass and plastic waste favor the adoption of this technology. Another positive finding is that Brazil and Mexico rank among the top ten countries in the world for plastic production, with 10.78 and 5.9 million metric tons, respectively, giving them high potential for generating energy using this technology. A thermo-kinetic analysis was presented, reflecting the main mathematical models (model-based and model-free methods along with reaction mechanism functions with master plots) used to determine relevant parameters for pyrolytic reactor design and to make decisions by determining the exergoeconomic factor (f). A thermoeconomic case study of co-pyrolysis of empty fruit bunch with high density polyethylene (HDPE) adapted to the Latin American energetic context showed that the energy input required for catalytic co-pyrolysis is 303% greater than that required for pretreatment, demonstrating that catalytic co-pyrolysis is the primary contributor to the overall process energy demand. However, the energetic content of the pyrolysis products exceeds that of the untreated waste by more than 882 kWh/kg, which is attractive for the adoption of technology. Concerning computational tools, Aspen Plus and Computational Fluid Dynamics oriented COMSOL stands out as simulation software in this field. Among the AI tools used are convolutional neural networks, deep neural networks, and lightweight gradient boosting machines to predict product yields, with R2 typically higher than 0.9 in the consulted works. However, real-time industrial applications in pyrolysis still face challenges due to the scarcity, heterogeneity, and poorly standardized data sets. The SWOT analysis applied gave us a broader view of the aspects that still need improvement such as catalyst recovery, reduction of heavy waxes generated during pyrolysis, and the reduction of plastic-and-biomass waste disposing in landfills. The key findings of the work are expected to support research and decision making of the academic/industrial/governmental stakeholders associated with the technology in Latin American countries.
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