Expert Evaluation of the Proposed ERP Model for Legal Compliance and Adaptation

This study presents an expert-based evaluation of a proposed context-aware ERP model designed to support adaptive legal compliance in multilingual regulatory environments, with a focus on North Macedonia. The model integrates modular ERP architecture, AI-driven legal reasoning, multilingual natural language processing, adaptive learning, and human oversight and is intended to support continuous alignment with changing legislation. A structured questionnaire was administered to 51 experts from fields, including ERP systems, software engineering, artificial intelligence, legal compliance, and public administration, to assess the model’s conceptual clarity, technical feasibility, multilingual support, scalability, and compliance functionality. The findings provide expert-based conceptual support for the proposed framework, particularly regarding its relevance, architectural coherence, and potential applicability, but they should not be interpreted as evidence of operational effectiveness in a deployed ERP environment. Participants particularly emphasized the importance of multilingual support and human validation mechanisms for maintaining accountability and trust in AI-assisted compliance processes. The evaluation also identified implementation challenges related to integration complexity, AI interpretability, and organizational readiness, highlighting areas for future prototype development and empirical validation.

@article{Miftari2026,
  title     = {Expert Evaluation of the Proposed ERP Model for Legal Compliance and Adaptation},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {17},
  number    = {6},
  year      = {2026},
  publisher = {The Science and Information Organization},
  author    = {Shkëlqim Miftari and Azir Aliu and Artan Luma},
  doi       = {10.14569/IJACSA.2026.0170667},
  url       = {https://doi.org/10.14569/IJACSA.2026.0170667}
}