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Critical Success Factors for the Adoption of Artificial Intelligence in Facilities Management: Second-Order Systematic Review

Robson Quinello & Benny Kramer Costa

Journal of Technology Management & Innovation2025https://doi.org/10.4067/s0718-27242025000200103article
ABDC C
Weight
0.37

What the paper says

The application of Artificial Intelligence (AI) in Facilities Management (FM) has grown significantly, driven by the pursuit of resource optimization, automation, and operational efficiency.However, specialized literature remains in an early stage, hindering a comprehensive understanding of the Critical Success Factors (CSFs) that influence the adoption of this technology in the sector.To address this gap, this study conducts a Second-Order Systematic Review (SOSR) to identify and consolidate the main CSFs associated with the adoption of AI in FM.The analysis is grounded in a conceptual model based on the TOEH theoretical framework (Technology-Organization-Environment-Human), which enables a multidimensional reading of both facilitators and barriers.Key challenges include system interoperability, data quality, the reliability of AI models, and building typology diversity, issues exacerbated by technological fragmentation and a lack of standardization, which hinder integrated solutions.Regulatory concerns regarding data privacy and governance, combined with limited workforce training, further hinder large-scale adoption.Conversely, innovations such as digital twins, explainable AI, robotics, and cybersecurity for smart buildings emerge as drivers of transformation.The findings provide valuable insights for FM managers, technology providers, and policymakers, contributing to the development of effective strategies for integrating AI in the Facilities Management sector.

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https://doi.org/https://doi.org/10.4067/s0718-27242025000200103

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@article{robson2025,
  title        = {{Critical Success Factors for the Adoption of Artificial Intelligence in Facilities Management: Second-Order Systematic Review}},
  author       = {Robson Quinello & Benny Kramer Costa},
  journal      = {Journal of Technology Management & Innovation},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.4067/s0718-27242025000200103},
}

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Critical Success Factors for the Adoption of Artificial Intelligence in Facilities Management: Second-Order Systematic Review

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.