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      <doi>10.14455/ISEC.2026.13(2).FAM-08</doi>
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        <article-title>HARNESSING DIGITAL TECHNOLOGIES FOR FACILITIES MANAGEMENT:  UNLOCKING VALUE IN THE BUILT ENVIRONMENT</article-title>
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      <author>TOLUWANIMI VICTORIA OGUNADE<sup>1</sup>, MATTHEW IKUABE<sup>2</sup>, OPEOLUWA AKINRADEWO<sup>3</sup> and CLINTON AIGBAVBOA<sup>1</sup></author>
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        <sup>1</sup>Sustainable Human Settlement and Construction Research Centre, Univ of Johannesburg, Johannesburg, South Africa<br />
        <sup>2</sup>School of Construction Economics and Management, Univ of the Witwatersrand, Johannesburg, South Africa<br />
        <sup>3</sup>Dept of Quantity Surveying and Construction Management, Univ of the Free State, Bloemfontein, South Africa<br />
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    <abstract>
      <title>ABSTRACT</title>
      <p>The integration of digital technologies into facilities management offers significant opportunities for enhancing building performance and operational efficiency in South Africa.  This study appraises the benefits of digital technologies currently utilized within the South African facilities management sector.  A quantitative research design was employed, using a structured questionnaire administered to facility managers, property developers, landlords, investors, and construction professionals in Gauteng Province.  Out of 50 distributed questionnaires, 42 valid responses were received, representing an 84% response rate.  Descriptive analysis of the data highlighted several key benefits, including improved decision-making, enhanced energy management, streamlined maintenance processes, and stronger stakeholder communication.  The study concludes that the adoption of digital technologies, particularly when supported by informed IT involvement, contributes to improved building lifecycle performance and long-term asset value.  These findings provide practical insights for facility management stakeholders seeking to optimize operations through digital transformation.  However, the findings are based on responses from professionals within Gauteng Province and should therefore be interpreted within the context of the study sample.  Future research should utilize larger and more geographically diverse samples to further validate the findings.</p>
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        <italic>Keywords: </italic>Asset lifecycle, Predictive maintenance, Smart buildings, Operational efficiency</p>
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      <hpdf>FAM-08</hpdf>
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