Modelo de maturidade do Banking 4.0: proposta e avaliação segundo a opinião de especialistas

Autores/as

DOI:

https://doi.org/10.20397/2177-6652/2026.v26i2.3259

Palabras clave:

Indústria 4.0. Banking 4.0. Modelos de Avaliação da Maturidade.

Resumen

Modelo de madurez de la Banca 4.0: propuesta y evaluación según la opinión de expertos

Objetivo: este artículo busca proponer y mejorar un Modelo de Evaluación de Madurez (MM) para la Banca 4.0 (B4.0).

Métodos: esta investigación empleó una revisión bibliográfica exhaustiva debido a la ausencia de modelos de madurez que aborden la Banca 4.0. Para construir el modelo de evaluación, se implementó un procedimiento de desarrollo de modelos de madurez de cuatro pasos: (1) definición del problema, (2) comparación con los modelos de madurez existentes, (3) determinación de la estrategia de desarrollo y (4) desarrollo interactivo. El modelo resultante fue evaluado por expertos en la materia.

Originalidad: la propuesta y evaluación del modelo representa un avance en la literatura dado su alcance innovador con foco en B4.0.

Resultados: basándose en una revisión bibliográfica exhaustiva de los modelos de madurez de la Banca 4.0 (B4.0) y la Industria 4.0 (I4.0), este estudio propone un modelo que comprende cinco dimensiones: Tecnología, Cliente, Personas y Cultura, Estrategia y Liderazgo, y Gobernanza. El modelo incluye cuatro niveles de madurez (Inicial, Gestionado, Integrado, Orientado Digitalmente) y 42 elementos específicos de madurez. Para implementar el modelo, se debe evaluar el desempeño del banco y la importancia relativa de cada vencimiento para calcular el vencimiento general. Expertos en la materia evaluaron la estructura del modelo según la teoría de modelos de madurez.

Contribuciones: El modelo de madurez proporciona un marco estructurado para que los gerentes bancarios evalúen el estado de la organización y guíen el progreso en las iniciativas de la Banca 4.0.

Palabras clave: Industria 4.0. Banca 4.0. Modelos de evaluación de madurez.

Biografía del autor/a

Sefora Soares, Universidade Federal da Paraíba

Séfora Nunes trabaja en Banco do Brasil y posee una licenciatura y una maestría en Ingeniería de Producción por la Universidad Federal de Paraíba, Brasil. Su investigación se centra en la sostenibilidad, la banca 4.0, las tecnologías de la Industria 4.0, la gestión estratégica y la estrategia operativa.

Cláudia Fabiana Gohr, Universidade Federal da Paraíba

Mestrado e doutorado em Engenharia de Produção pela Universidade Federal de Santa Catarina. Professora da Universidade Federal da Paraíba, lotada no Departamento de Engenharia de Produção. É professora permanente dos programas de pós-graduação em Engenharia de Produção e em Administração da UFPB. Tem experiência na área de Estratégia Empresarial e Gestão da Produção, atuando principalmente nos seguintes temas: capacidades dinâmicas, relacionamentos interorganizacionais, inovação sustentável, lean, modelos de maturidade e economia circular. 

Luciano Costa Santos, Universidade Federal da Paraíba

Luciano Costa Santos es profesor del Departamento de Ingeniería Industrial de la Universidad Federal de Paraíba (Brasil). Obtuvo su maestría y doctorado en Ingeniería Industrial en la Universidad Federal de Santa Catarina (Brasil). Actualmente, cuenta con más de 17 años de experiencia docente e investigadora y ha participado en programas de consultoría y capacitación en la industria. Sus líneas de investigación actuales incluyen la manufactura esbelta, la economía circular, la evaluación esbelta y ecológica, la estrategia operativa y las operaciones de servicios.

Citas

review. Business Process Management Journal, 27(5), 1633–1655. https://doi.org/10.1108/BPMJ-03-2021-0133

Alcácer, V., & Cruz-Machado, V. (2019). Scanning the Industry 4.0: A Literature Review on Technologies for Manufacturing Systems. Engineering Science and Technology, an International Journal, 22(3), 899–919. https://doi.org/10.1016/j.jestch.2019.01.006

Bandara, O. K. K., Tharaka, V. K., & Wickramarachchi, A. P. R. (2019). Industry 4.0 maturity assessment of the Banking Sector of Sri Lanka. Proceedings - IEEE International Research Conference on Smart Computing and Systems Engineering, SCSE 2019, 190–195. https://doi.org/10.23919/SCSE.2019.8842818

Bandara, O., Vidanagamachchi, K., & Wickramarachchi, R. (2019a). A model for assessing maturity of industry 4.0 in the banking sector. Proceedings of the International Conference on Industrial Engineering and Operations Management, 2019(MAR), 1141–1150.

Bandara, O., Vidanagamachchi, K., & Wickramarachchi, R. (2019b). A model for assessing maturity of industry 4.0 in the banking sector. Proceedings of the International Conference on Industrial Engineering and Operations Management, 2019(MAR), 1141–1150.

Becker, J., Knackstedt, R., & Pöppelbuß, J. (2009). Developing Maturity Models for IT Management. Business & Information Systems Engineering, 1(3), 213–222. https://doi.org/10.1007/s12599-009-0044-5

Bibby, L., & Dehe, B. (2018). Defining and assessing industry 4.0 maturity levels–case of the defence sector. Production Planning and Control, 29(12), 1030–1043. https://doi.org/10.1080/09537287.2018.1503355

Bilan, Y., Rubanov, P., Vasylieva, T., & Lyeonov, S. (2019). The influence of industry 4.0 on financial services: Determinants of alternative finance development. Polish Journal of Management Studies, 19(1), 70–93. https://doi.org/10.17512/pjms.2019.19.1.06

Caiado, R. G. G., Scavarda, L. F., Gavião, L. O., Ivson, P., Nascimento, D. L. de M., & Garza-Reyes, J. A. (2021). A fuzzy rule-based industry 4.0 maturity model for operations and supply chain management. International Journal of Production Economics, 231(November 2019). https://doi.org/10.1016/j.ijpe.2020.107883

Costa, S. M. N. da, Gohr, C. F., & Santos, L. C. (2025). Concepts and applications of Banking 4.0: systematic review and proposal for a research agenda. Brazilian Journal of Management & Innovation, Online Fir.

De Bruin, S., De Bruin, T., Rosemann, P. M., Freeze, R., Kulkarni, P. U., & Carey, W. P. (2005). Understanding the Main Phases of Developing a Maturity Assessment Model. 16th Australasian Conference on Information Systems.

De Carolis, A., Macchi, M., Negri, E., & Terzi, S. (2017). A maturity model for assessing the digital readiness of manufacturing companies. IFIP Advances in Information and Communication Technology, 513, 13–20. https://doi.org/10.1007/978-3-319-66923-6_2

Dikhanbayeva, D., Shaikholla, S., Suleiman, Z., & Turkyilmaz, A. (2020). Assessment of industry 4.0 maturity models by design principles. Sustainability (Switzerland), 12(23), 1–22. https://doi.org/10.3390/su12239927

Dutta, G., Kumar, R., Sindhwani, R., & Singh, R. K. (2020). Digital transformation priorities of India’s discrete manufacturing SMEs – a conceptual study in perspective of Industry 4.0. Competitiveness Review, 30(3), 289–314. https://doi.org/10.1108/CR-03-2019-0031

Frank, A. G., Mendes, G. H. S., Ayala, N. F., & Ghezzi, A. (2019). Servitization and Industry 4.0 convergence in the digital transformation of product firms: A business model innovation perspective. Technological Forecasting and Social Change, 141(July 2018), 341–351. https://doi.org/10.1016/j.techfore.2019.01.014

Ghobakhloo, M. (2018). The future of manufacturing industry: a strategic roadmap toward Industry 4.0. Journal of Manufacturing Technology Management, 29(6), 910–936. https://doi.org/10.1108/JMTM-02-2018-0057

Gu, J., Gouliamos, K., Lobonţ, O. R., & Nicoleta-Claudia, M. (2021). Is the fourth industrial revolution transforming the relationship between financial development and its determinants in emerging economies? Technological Forecasting and Social Change, 165. https://doi.org/10.1016/j.techfore.2020.120563

Gupta, R. (2021). Industry 4.0 Adaption in Indian Banking Sector—A Review and Agenda for Future Research. Vision, 1–9. https://doi.org/10.1177/0972262921996829

Hajoary, P. K. (2020). Industry 4.0 Maturity and Readiness Models: A Systematic Literature Review and Future Framework. International Journal of Innovation and Technology Management, 17(7). https://doi.org/10.1142/S0219877020300050

Kiel, D., Müller, J. M., Arnold, C., & Voigt, K. I. (2017). Sustainable industrial value creation: Benefits and challenges of industry 4.0. In International Journal of Innovation Management (Vol. 21, Issue 8). https://doi.org/10.1142/S1363919617400151

Lasrado, L. A., Vatrapu, R., & Andersen, K. N. (2015). Maturity Models Development in IS Research: A Literature Review. IRIS Selected Papers of the Information Systems Research Seminar in Scandinavia, 6, 6. https://doi.org/10.13140/RG.2.1.3046.3209

Lin, T. C., Sheng, M. L., & Jeng Wang, K. (2020). Dynamic capabilities for smart manufacturing transformation by manufacturing enterprises. Asian Journal of Technology Innovation, 28(3), 403–426. https://doi.org/10.1080/19761597.2020.1769486

Lin, T. C., Wang, K. J., & Sheng, M. L. (2020). To assess smart manufacturing readiness by maturity model: a case study on Taiwan enterprises. International Journal of Computer Integrated Manufacturing, 33(1), 102–115. https://doi.org/10.1080/0951192X.2019.1699255

Medeiros, E. D. de, Santos, L. C., & Gohr, C. F. (2024). Modelos de maturidade para a indústria 4.0: uma revisão sistemática da literatura. Journal of Management & Technology, 24(5), 154–181.

Mehdiabadi, A., Tabatabeinasab, M., Spulbar, C., Yazdi, A. K., & Birau, R. (2020). Are we ready for the challenge of banks 4.0? designing a roadmap for banking systems in industry 4.0. International Journal of Financial Studies, 8(2), 1–28. https://doi.org/10.3390/ijfs8020032

Oztemel, E., & Gursev, S. (2020). Literature review of Industry 4.0 and related technologies. Journal of Intelligent Manufacturing, 31(1), 127–182. https://doi.org/10.1007/s10845-018-1433-8

Peres, R. S., Jia, X., Lee, J., Sun, K., Colombo, A. W., & Barata, J. (2020). Industrial Artificial Intelligence in Industry 4.0 -Systematic Review, Challenges and Outlook. IEEE Access, 220121–220139. https://doi.org/10.1109/ACCESS.2020.3042874

Rafael, L. D., Jaione, G. E., Cristina, L., & Ibon, S. L. (2020). An Industry 4.0 maturity model for machine tool companies. Technological Forecasting and Social Change, 159(March), 120203. https://doi.org/10.1016/j.techfore.2020.120203

Rahman, A., & Abedin, M. J. (2021). The Fourth Industrial Revolution and private commercial banks: the good, bad and ugly. International Journal of Organizational Analysis. https://doi.org/10.1108/IJOA-05-2020-2218

Santos, R. C., & Martinho, J. L. (2020). An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 31(5), 1023–1043. https://doi.org/10.1108/JMTM-09-2018-0284

Schumacher, A., Erol, S., & Sihn, W. (2016). A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises. Procedia CIRP, 52, 161–166. https://doi.org/10.1016/j.procir.2016.07.040

Schumacher, A., Nemeth, T., & Sihn, W. (2019). Roadmapping towards industrial digitalization based on an Industry 4.0 maturity model for manufacturing enterprises. Procedia CIRP, 79, 409–414. https://doi.org/10.1016/j.procir.2019.02.110

Shaikh, A. A., & Karjaluoto, H. (2015). Mobile banking adoption: A literature review. Telematics and Informatics, 32(1), 129–142. https://doi.org/10.1016/j.tele.2014.05.003

Sjödin, D. R., Parida, V., Leksell, M., & Petrovic, A. (2018). Smart Factory Implementation and Process Innovation: A Preliminary Maturity Model for Leveraging Digitalization in ManufacturingMoving to smart factories presents specific challenges that can be addressed through a structured approach focused on people, p. Research Technology Management, 61(5), 22–31. https://doi.org/10.1080/08956308.2018.1471277

Sony, M., Antony, J., & Mc Dermott, O. (2022). How do the technological capability and strategic flexibility of an organization impact its successful implementation of Industry 4.0? A qualitative viewpoint. Benchmarking. https://doi.org/10.1108/BIJ-09-2021-0541

Thach, N. N., Hanh, H. T., Huy, D. T. N., Gwoździewicz, S., Nga, L. T. V., Huong, L. T. T., & Nam, V. Q. (2021). Technology Quality Management of the Industry 4.0 and Cybersecurity Risk Management on Current Banking Activities in Emerging Markets - the Case in Vietnam. International Journal for Quality Research, 15(3), 845–856. https://doi.org/10.24874/IJQR15.03-10

Wagire, A. A., Joshi, R., Rathore, A. P. S., & Jain, R. (2021). Development of maturity model for assessing the implementation of Industry 4.0: learning from theory and practice. Production Planning and Control, 32(8), 603–622. https://doi.org/10.1080/09537287.2020.1744763

Yun, J. J., Liu, Z., & Zhao, X. (2021). Introduction: Ambidextrous Open Innovation in the 4th Industrial Revolution. Science, Technology and Society, 26(2), 183–200. https://doi.org/10.1177/09717218211006969

Zhong, R. Y., Xu, X., Klotz, E., & Newman, S. T. (2017). Intelligent Manufacturing in the Context of Industry 4.0: A Review. Engineering, 3(5), 616–630. https://doi.org/10.1016/J.ENG.2017.05.015

Publicado

2026-06-23

Cómo citar

Soares, S., Gohr, C. F., & Costa Santos, L. (2026). Modelo de maturidade do Banking 4.0: proposta e avaliação segundo a opinião de especialistas. Revista Gestão & Tecnologia, 26(2), 242–266. https://doi.org/10.20397/2177-6652/2026.v26i2.3259

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