From NLP to Taxonomy: Identifying and Classifying Key Functionality Concepts of Multi-level Project Planning and Control Systems

• DOI: 10.36680/j.itcon.2024.053
• Publication Date: 2024-12-26T08:12:59Z
• Authors: Moslem Sheikhkhos...; Hind Bril El Haouzi; Alexis Aubry; Farook Hamzeh; Farzad Rahimian
• Keywords: 0502 economics and business; 05 social sciences

Analysis of literature and industry practices in applied planning control systems reveals a notable lack effective processes stakeholders' understanding regarding the optimal use these systems. These gaps underscore urgent need for refined discovery underlying concepts existing to address complex dynamics domain better. Therefore, this study employed multi-step approach using advanced text-mining techniques expert validation issues. Sentence-Bidirectional Encoder Representations from Transformers (SBERT) semantic analysis, hierarchical clustering, word cloud visualization were classify validate project system functionality into coherent clusters. Furthermore, robust taxonomy was developed by meticulously analysing findings as well considering experts' insights. As result, 148 systems' functionalities classified 20 clusters with an average 87% alignment rate. A then formulated, emphasizing their importance across various scheduling levels. This captures complexities systems, facilitating informed decision-making integration diverse handle complexities. The research significantly contributes field clarifying core making them more understandable actionable stakeholders.