New published paper on DIGITMAN project!

🏢 Building maintenance requests highly affect the building “health status” and thus the perception of quality conditions in buildings data, including issues related to workers’ satisfaction, well-being and possible stress levels

🕵‍♀️ A novel methodology provided by DIGITMAN is based on CMMS (Computer Management Maintenance Systems) and uses indexes to measure both the quantity and the perceived quality of maintenance interventions, through text mining, sentiment and emotion analysis, lexical diversity indices.

👷 The methodology successfully identifies maintenance issues in buildings and highlights differences in perception between workers’ typologies.

❗ Results provide valuable insights for facility managers and organizations, enabling better-informed decisions on maintenance priorities based on both objective data and workers’ feedback.


📑 This innovative data-driven approach, developed by the UNIVPM researchers at DICEA, has been recently published in Journal of Information Technology in Construction – ISSN 1874-4753, in open access, at: 2025_27-ITcon-DOrazio.pdf