Modelo de Prontidão Digital de Serviços de Gestão Universitária: Abordagem Centrada no Conceito da Indústria 4.0
Description
O estudo descreve o desenvolvimento de um modelo de prontidão digital no campus universitário do Araguaia da Universidade Federal do Mato Grosso (CUA-UFMT). Inspirado no conceito para tecnologias da Indústria 4.0, a pesquisa resultou em um sistema de autodiagnóstico web para avaliar a prontidão digital da universidade. O modelo conceitual adapta insights de modelos existentes na literatura e utiliza uma matriz 2x2 para identificar quatro níveis de prontidão digital. O sistema, composto por 24 itens, foi avaliado por especialistas do campus. Após ajustes, foi desenvolvido um sistema de autodiagnóstico web em Python para coletar as opiniões de docentes e técnicos do campus. Como resultado a proposição de um Modelo de Prontidão Digital foi alcançada, resultando na avaliação em nível inicial da unidade de análise e desenvolvimento de um protótipo de aplicação web, submetido a uma prova de conceito. O produto garantiu rigor metodológico suficiente para enfrentar a ausência de uma política que avalie e mensure o nível de prontidão digital, refletindo a realidade atual do CUA-UFMT. A produção tecnológica combina um software e um relatório técnico que descreve a concepção do modelo culminando no sistema de autodiagnóstico web.
Abstract (English)
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.
Files
2. AT_GLS_15-2-2024.pdf
Additional details
Additional titles
- Translated title (English)
- Digital Readiness Model for University Management Services: Industry 4.0 Concept-Centered Approach
Identifiers
- ISSN
- 2317-5605
- URL
- https://www.lagos.vr.uff.br/index.php/lagos/article/view/418/version/371
Dates
- Submitted
-
2024-06-02
- Accepted
-
2024-12-01
- Available
-
2023-12-30
References
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- 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.
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- 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, 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