Digital Readiness Model for University Management Services: Industry 4.0 Concept-Centered Approach

Authors

DOI:

https://doi.org/10.5281/zenodo.14529431

Keywords:

Digital transformation, Readiness, Capability, 4.0 Industry, Management

Abstract

The study describes developing a digital readiness model at the Araguaia campus of the Federal University of Mato Grosso (CUA-UFMT). Inspired by the concept of Industry 4.0 technologies, the research resulted in a web self-diagnosis system to assess the university's digital readiness. The conceptual model adapts insights from existing models in the literature and uses a 2x2 matrix to identify four levels of digital readiness. The system, composed of 24 items, was evaluated by experts from the campus. After adjustments, a web self-diagnosis system in Python was developed to collect the opinions of faculty and technicians from the campus. As a result, the proposal of a Digital Readiness Model was achieved, resulting in the initial assessment of the analysis unit and the development of a web application prototype, submitted to a proof of concept. The product ensured sufficient methodological rigor to address the lack of a policy that assesses and measures digital readiness, reflecting the current reality of CUA-UFMT. The technological production combines software and a technical report that describes the model's design, culminating in the web self-diagnosis system.

 

Author Biography

Guilherme Lopes dos Santos , Universidade Federal do Mato Grosso e PPGA-UFF

Graduado em Sistema de Informação. Possui Mestrado em Administração pela UFF.  Servidor técnico-administrativo federal e trabalho com eletroeletrônica, tenho pesquisado sobre prontidão digital e indústria 4.0 e suas tecnologias habilitadoras me aprofundando em IOT.

References

CINTTEC - Centro de Inovação e Transferência de Tecnologia (2024). Avalchek: Calculadora de maturidade tecnológica. Recuperado de: https://cinttec.ufs.br/pagina/27940-avalchek-calculadora-de-maturidade-tecnologica. Acesso em: 2 jun. 2024.

De Carolis, A.; Macchi, M.; Negri, E.; Terzi, S (2017). A Maturity Model for Assessing the Digital Readiness of Manufacturing Companies. In: Lödding, H.; Riedel, R.; Thoben, K. D.; Von Cieminski, G.; Kiritsis, D. (eds). Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing. APMS 2017. IFIP Advances in Information and Communication Technology, vol. 513. Springer, Cham. https://doi-org.ez24.periodicos.capes.gov.br/10.1007/978-3-319-66923-6_2.

Gtmetrix (2024). Everything You Need to Know About the New GTmetrix Report Powered by Lighthouse. Recuperado de: https://gtmetrix.com/blog/everything-you-need-to-know-about-the-new-gtmetrix-report-powered-by-lighthouse/ . Acesso em: 20 de maio. 2024.

Harrison, Todd (2014). Rethinking readiness. Strategic Studies Quarterly, v. 8, n. 3, p. 38-68. https://www.jstor.org/stable/26270619?seq=1

Hein-Pensel, F.; Große-Schwiep, M.; Thoben, K.-D. (2023) Maturity Assessment for Industry 5.0: A Systematic Literature Review. Journal of Manufacturing Systems, v. 66, p. 200-210. https://doi.org/10.1016/j.jmsy.2022.12.009.

Jeon, S.; Bang, J.; Byun, K. (2012). A recovery method of deleted record for SQLite database. Personal and Ubiquitous Computing, v. 16, p. 707-715. https://doi.org/10.1007/s00779-011-0428-7.

Kumar, A.; Panda, S. P. (2019). A survey: How Python pitches in IT-World. In: 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), Faridabad, India, pp. 248-251. https://doi.org/10.1109/COMITCon.2019.8862251

Lassnig, M.; Müller, J. M.; Klieber, K.; Zeisler, A.; Schirl, M. (2022). A digital readiness check for the evaluation of supply chain aspects and company size for Industry 4.0. Journal of Manufacturing Technology Management, v. 33, n. 9. https://doi.org/10.1108/JMTM-10-2020-0382.

Mankins, J. C. Technology Readiness Levels, A White Paper (1995, Edt. 2004); Advanced Concepts Office, Office of Space Access and Technology, NASA, 2004

Mian, S. H.; Salah, B.; Ameen, W.; Moiduddin, K.; Alkhalefah, H. (2020). Adapting universities for sustainability education in industry 4.0: channel of challenges and opportunities. MDPI Sustainability, 12, 6100. ; https://doi.org/10.3390/su12156100

Mufid, M. R.; Basofi, A.; Al Rasyid, M.; Rochimansyah, I. F.; Rokhim, A. (2019). Design an MVC model using Python for Flask framework development. In: 2019 International Electronics Symposium (IES), Surabaya, Indonésia, 2019. https://doi.org/10.1109/ELECSYM.2019.8901656

Pham, Q. T. (2010). Measuring ICT maturity of SMEs. Journal of Knowledge Management Practice, v. 11, n. 1, p. 1-14, 2010. http://www.tlainc.com/articl223.htm Acesso em: 07/09/2023

Pirola, F.; Cimini, C.; Pinto, R. (2020). Digital readiness assessment of Italian SMEs: a case-study research. Journal of Manufacturing Technology Management, v. 31, n. 5, p. 1045-1083. https://doi.org/10.1108/JMTM-09-2018-0305.

Rajnai, Z.; Kocsis, I. (2018). Assessing industry 4.0 readiness of enterprises. In: IEEE 16th World Symposium on Applied Machine Intelligence and Informatics (SAMI, 2018). Anais…Slovakia, p. 225-230. Disponível em: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050997297&doi=10.1109%2fSAMI.2018.8324844&partnerID=40&md5=546565f6496c266b4c5eb637b30d10c5 . Acesso em: 21 jul 2023.

Rogers, D. L. (2017). Transformação digital: Repensando o seu negócio para a era digital. Autêntica Business.

Ross, J. (2020). Your business is too complex to be digital. MIT Sloan Management Review. Disponível em: https://sloanreview.mit.edu/article/your-business-is-too-complex-to-be-digital/ . Acesso em: 20 mar. 2024.

SANTOS, R. C.; MARTINHO, J. L. An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, v. 31, n. 5, p. 1023-1043, 2020. Disponível em: https://doi-org.ez52.periodicos.capes.gov.br/10.1108/JMTM-09-2018-0284.

Westerman, G.; Tannou, M.; Bonnet, D.; Ferraris, P. (2012). The Digital Advantage: How digital leaders outperform their peers in every industry. MIT Sloan Management and Capgemini Consulting, MA, n. 2, p. 2-23. Disponível em: https://www.capgemini.com/wp-content/uploads/2017/07/The_Digital_Advantage__How_Digital_Leaders_Outperform_their_Peers_in_Every_Industry.pdf Acesso em 25/05/2023

Yu, T.; Takaku, Y.; Kaieda, Y.; Sakaguchi, K. (2021). Design and PoC Implementation of Mmwave-Based Offloading-Enabled UAV Surveillance System. IEEE Open Journal of Vehicular Technology, v. 436-447. https://doi.org/10.1109/OJVT.2021.3124787

Yu, Y.; Zhang, J. Z.; Cao, Y.; Kazancoglu, Y. (2021). Intelligent transformation of the manufacturing industry for Industry 4.0: Seizing financial benefits from supply chain relationship capital through enterprise green management. Technological Forecasting and Social Change, v. 172, 120999. https://doi.org/10.1016/j.techfore.2021.120999

Published

2024-12-20

How to Cite

SANTOS , Guilherme Lopes dos. Digital Readiness Model for University Management Services: Industry 4.0 Concept-Centered Approach. REVISTA LAGOS, [S. l.], v. 15, n. 2, p. 16–39, 2024. DOI: 10.5281/zenodo.14529431. Disponível em: https://lagos.vr.uff.br/index.php/lagos/article/view/418. Acesso em: 4 apr. 2025.

Issue

Section

Artigos Tecnológicos