Resumo
The Business Process Model and Notation (BPMN) has established itself as the de facto standard for business process modeling globally. This article presents a Systematic Literature Review (SLR) aiming to identify and analyze the best practices and implementation challenges of BPMN, focusing on academic production from the last five years (2020-2025). The research covered high-impact scientific databases, resulting in the identification of emerging trends and persistent problems in the Business Process Management (BPM) discipline. The results reveal that while BPMN is fundamental for Business-IT alignment and process automation, its implementation faces significant obstacles, such as the lack of objectivity in modeling, the difficulty in dealing with process granularity, and the need to incorporate domain knowledge and common sense into analysis tools. Best practices are intrinsically linked to the Critical Success Factors (CSFs) of BPM, with Top Management Support, Business-IT Alignment, and the adoption of a robust Implementation Methodology standing out. This study contributes to the consolidation of knowledge in the field, providing an updated and robust overview for researchers and professionals seeking to optimize the application of BPMN in their organizational contexts.
Referências
AYSOLLMAZ, B.; JOSHI, A.; STUBHAN, M. Examining and Comparing the Critical Success Factors Between Business Process Management and Business Process Automation. Journal of Global Information Management, v. 31, n. 1, p. 1-24, 2023. Available at: https://doi.org/10.4018/JGIM.318476. Accessed on: 28 Nov. 2025.
ASSOCIAÇÃO BRASILEIRA DE NORMAS TÉCNICAS. NBR 6023: Informação e documentação: Referências: Elaboração. Rio de Janeiro, 2018.
BEEREPOOT, I. et al. The biggest business process management problems to solve before we die. Computers in Industry, v. 146, p. 103837, 2023. Available at: https://doi.org/10.1016/j.compind.2022.103837. Accessed on: 28 Nov. 2025.
CIMINO, A. et al. Evolution of BPMN and Simulation Integration: Trends, Challenges, and Future Directions. Procedia Computer Science, v. 253, p. 3235-3246, 2025. Available at: https://doi.org/10.1016/j.procs.2025.02.048. Accessed on: 28 Nov. 2025.
KOURANI, H. et al. Process modeling with large language models. In: International Conference on Business Process Management, 2024. p. 289-305. Available at: https://link.springer.com/chapter/10.1007/978-3-031-61007-3_18. Accessed on: 28 Nov. 2025.
LÓPEZ-PINTADO, O. et al. Discovery, simulation, and optimization of business processes using higher-level abstractions for BPMN. Computers & Industrial Engineering, v. 189, p. 109950, 2024. Available at: https://doi.org/10.1016/j.cie.2024.109950. Accessed on: 28 Nov. 2025.
PUFAHL, L. et al. BPMN in healthcare: Challenges and best practices. Information Systems, v. 108, p. 102013, 2022. Available at: https://doi.org/10.1016/j.is.2022.102013. Accessed on: 28 Nov. 2025.
TEIXEIRA, A. R. et al. Optimization of Business Processes Through BPM Methodology: A Case Study on Data Analysis and Performance Improvement. MDPI Sensors, v. 24, n. 11, p. 724, 2024. Available at: https://www.mdpi.com/2078-2489/15/11/724. Accessed on: 28 Nov. 2025.
WENGER, S.; SPAHIC-BOGDANOVIC, M.; MARTIN, A. Large language models for democratizing business process modeling: BPMN model generation and style guide adherence. In: International Conference on Artificial Intelligence Research, 2024. p. 306-321. Available at: https://link.springer.com/chapter/10.1007/978-3-031-78255-8_22. Accessed on: 28 Nov. 2025.
