Research Articles

El marco DSC-R: integración de transferencia tecnológica, antropotecnología e Industria 4.0 para la resiliencia en cadenas de suministro digitales

Autores/as

  • Danilo Inácio Departamento de Pós-Graduação, Universidade Tecnológica Federal do Paraná , Ponta Grossa, PR, Brazil. image/svg+xml
  • João Luiz Kovaleski Departamento de Pós-Graduação, Universidade Tecnológica Federal do Paraná , Ponta Grossa, PR, Brazil. image/svg+xml
  • Angelo Marcelo Tusset Departamento de Pós-Graduação, Universidade Tecnológica Federal do Paraná , Ponta Grossa, PR, Brazil. image/svg+xml
  • Giane Gonçalves Lenzi Departamento de Pós-Graduação, Universidade Tecnológica Federal do Paraná , Ponta Grossa, PR, Brazil. image/svg+xml

DOI:

https://doi.org/10.4067/s0718-2724202600025068

Resumen

Las cadenas de suministro digitales operan en entornos volátiles donde la resiliencia exige más que la integración tecnológica. La investigación sobre transferencia tecnológica, antropotecnología e Industria 4.0 ha avanzado de forma aislada: una búsqueda booleana en Scopus y Web of Science sobre cuatro ejes temáticos recuperó más de 288.000 registros en los ejes individuales, 80 registros en la combinación de tres ejes y ninguno en la combinación de los cuatro, lo que confirma un vacío en la literatura. Este estudio propone el DSC-R Framework, un modelo conceptual integrador que articula la transferencia tecnológica, la antropotecnología y la Industria 4.0 en la resiliencia de las cadenas de suministro digitales. Se aplicó una revisión integrativa cualitativa, seguida del cribado de 54 registros únicos, análisis crítico, triangulación teórica entre ambas bases y validación cruzada de constructos frente a modelos establecidos de resiliencia, con un corpus de síntesis de 42 referencias distribuidas en cinco categorías temáticas. El marco se compone de cinco capas interconectadas: directrices estratégicas, tríada integradora, capacidades operativas de resiliencia, evaluación de vulnerabilidades y resultados consolidados, sustentadas en 14 capacidades de resiliencia, indicadores clave de desempeño diferenciados en observables y compuestos, rutas de transferencia tecnológica y un ciclo de implementación de siete fases. Cuatro proposiciones conceptuales especifican cómo el aprendizaje dinámico, la adaptación sociotécnica y la innovación continua sostienen la resiliencia en el tiempo. El modelo sitúa la antropotecnología como eje mediador central y ofrece orientación gerencial para petroquímica, petróleo y gas, fertilizantes y manufactura digital, quedando sujeto a validación empírica.

Palabras clave:

  • Resiliencia de la cadena de suministro
  • Transferencia tecnológica
  • Industria 4.0
  • Antropotecnología
  • Revisión integrativa de literatura

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Biografía del autor/a

Danilo Inácio, Departamento de Pós-Graduação, Universidade Tecnológica Federal do Paraná , Ponta Grossa, PR, Brazil.

Holds an MSc in Production Engineering from the Federal University of Paraná (UFPR) and an MSc in Electrical Engineering from the Federal University of Technology – Paraná (UTFPR), Brazil. He is currently a PhD candidate in Production Engineering at UTFPR. He is a Production Engineer and a certified Occupational Safety Engineer, with over 20 years of professional experience in the petrochemical, oil, and gas industries, and currently works as an Operations Coordinator at Petrobras (FAFEN-PR). His research interests include industrial systems management, digital supply chains, Industry 4.0, process reliability, process safety, clean technologies, sustainable industrial operations, and energy production systems, with particular emphasis on green hydrogen and its integration into industrial processes.

João Luiz Kovaleski, Departamento de Pós-Graduação, Universidade Tecnológica Federal do Paraná , Ponta Grossa, PR, Brazil.

Is a Full Professor in the Graduate Program in Production Engineering at the Federal University of Technology – Paraná (UTFPR), Brazil, and a CNPq Research Productivity Fellow (Level 2). He holds a PhD in Industrial Instrumentation from Université Grenoble I, France. His research focuses on technology transfer, innovation and industrial management, knowledge management, and university–industry–government relations, with extensive experience in supervising graduate research and leading interdisciplinary, innovation-oriented projects.

Angelo Marcelo Tusset, Departamento de Pós-Graduação, Universidade Tecnológica Federal do Paraná , Ponta Grossa, PR, Brazil.

Is an Associate Professor at the Federal University of Technology – Paraná (UTFPR), Brazil, and a CNPq Research Productivity Fellow (Level 1D). He holds a PhD in Mechanical Engineering from the Federal University of Rio Grande do Sul (UFRGS) and completed postdoctoral research at São Paulo State University (UNESP). His research interests include nonlinear dynamics and control, optimal and robust control, robotics, and advanced modeling of mechanical and mechatronic systems.

Giane Gonçalves Lenzi, Departamento de Pós-Graduação, Universidade Tecnológica Federal do Paraná , Ponta Grossa, PR, Brazil.

Is an Associate Professor at the Federal University of Technology – Paraná (UTFPR), Brazil, and a CNPq Research Productivity Fellow (Level 2). She holds a PhD in Chemical Engineering from the State University of Maringá (UEM) and completed postdoctoral research at Politecnico di Torino, Italy. Her research interests include heterogeneous and environmental catalysis, sustainable chemical processes, CO₂ valorization, and advanced technologies for environmental remediation and industrial sustainability.

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Recibido

2026-05-31

Aceptado

2026-07-13

Publicado

2026-07-29

Cómo citar

Inácio, D., Kovaleski, J. L., Tusset, A. M., & Lenzi, G. G. (2026). El marco DSC-R: integración de transferencia tecnológica, antropotecnología e Industria 4.0 para la resiliencia en cadenas de suministro digitales. Journal of Technology Management and Innovation, 21(2), 110–128. https://doi.org/10.4067/s0718-2724202600025068

Número

Vol. 21 Núm. 2 (2026)

Sección

Research Articles

Licencia

Derechos de autor 2026 Danilo Inácio, João Luiz Kovaleski, Angelo Marcelo Tusset, Giane Gonçalves Lenzi

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución-CompartirIgual 4.0.

 

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