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Assessing the Barriers to Data Analytics Adoption in Facilities Management in Malaysia

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  • Ereena Farisha Hs Hisamuddin

    (Department of Real Estate,Faculty of Built Environment & Survey University Technology Malaysia)

  • Izran Sarrazin Mohammad

    (Department of Real Estate,Faculty of Built Environment & Survey University Technology Malaysia)

  • Muhamad Amir Afiq Lokman

    (Department of Real Estate,Faculty of Built Environment & Survey University Technology Malaysia)

Abstract

Data analytics offers significant potential for improving decision-making and operational efficiency in facilities management (FM). However, despite its recognised benefits, the FM sector in Malaysia has been slow to adopt data analytics technologies. This study aims to identify and assess the key barriers contributing to this slow adoption. A structured questionnaire was distributed to facilities managers across Malaysia, yielding 31 valid responses. The data were analysed using frequency analysis and the Relative Importance Index (RII) method. Findings reveal that organisational inefficiency, financial constraints, and technology integration challenges are the primary barriers. Sub-barriers such as lack of staff expertise, limited budget, data quality issues, and cybersecurity concerns further compound the problem. These insights provide a foundation for strategic interventions aimed at accelerating the adoption of data analytics in FM practices in Malaysia.

Suggested Citation

  • Ereena Farisha Hs Hisamuddin & Izran Sarrazin Mohammad & Muhamad Amir Afiq Lokman, 2025. "Assessing the Barriers to Data Analytics Adoption in Facilities Management in Malaysia," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(7), pages 4678-4694, July.
    • Handle: RePEc:bcp:journl:v:9:y:2025:issue-7:p:4678-4694
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