Critical Success Factors for the Adoption of Artificial Intelligence in Facilities Management: Second-Order Systematic Review
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 Cr...
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| Format: | Article |
| Language: | English |
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Universidad Alberto Hurtado
2025-07-01
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| Series: | Journal of Technology Management & Innovation |
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| Online Access: | https://www.jotmi.org/index.php/GT/article/view/4705 |
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| author | Quinello Robson Benny Kramer Costa |
| author_facet | Quinello Robson Benny Kramer Costa |
| author_sort | Quinello Robson |
| collection | DOAJ |
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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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| format | Article |
| id | doaj-art-2bf6ca29e76e43c19428550bfc0d7b4b |
| institution | Kabale University |
| issn | 0718-2724 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Universidad Alberto Hurtado |
| record_format | Article |
| series | Journal of Technology Management & Innovation |
| spelling | doaj-art-2bf6ca29e76e43c19428550bfc0d7b4b2025-08-20T03:56:04ZengUniversidad Alberto HurtadoJournal of Technology Management & Innovation0718-27242025-07-01202Critical Success Factors for the Adoption of Artificial Intelligence in Facilities Management: Second-Order Systematic ReviewQuinello Robson0Benny Kramer Costa1Universidade Nove de Julho BrazilUniversidade Nove de Julho, Brazil; Universidade de São Paulo, Brazil 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. https://www.jotmi.org/index.php/GT/article/view/4705artificial intelligencefacilities managementcritical success factorstechnology adoptionCSF-TOEH framework |
| spellingShingle | Quinello Robson Benny Kramer Costa Critical Success Factors for the Adoption of Artificial Intelligence in Facilities Management: Second-Order Systematic Review Journal of Technology Management & Innovation artificial intelligence facilities management critical success factors technology adoption CSF-TOEH framework |
| title | Critical Success Factors for the Adoption of Artificial Intelligence in Facilities Management: Second-Order Systematic Review |
| title_full | Critical Success Factors for the Adoption of Artificial Intelligence in Facilities Management: Second-Order Systematic Review |
| title_fullStr | Critical Success Factors for the Adoption of Artificial Intelligence in Facilities Management: Second-Order Systematic Review |
| title_full_unstemmed | Critical Success Factors for the Adoption of Artificial Intelligence in Facilities Management: Second-Order Systematic Review |
| title_short | Critical Success Factors for the Adoption of Artificial Intelligence in Facilities Management: Second-Order Systematic Review |
| title_sort | critical success factors for the adoption of artificial intelligence in facilities management second order systematic review |
| topic | artificial intelligence facilities management critical success factors technology adoption CSF-TOEH framework |
| url | https://www.jotmi.org/index.php/GT/article/view/4705 |
| work_keys_str_mv | AT quinellorobson criticalsuccessfactorsfortheadoptionofartificialintelligenceinfacilitiesmanagementsecondordersystematicreview AT bennykramercosta criticalsuccessfactorsfortheadoptionofartificialintelligenceinfacilitiesmanagementsecondordersystematicreview |