Pumped Concrete Point of Placement Air System Evaluation
Sunday Akanji
In today's landscape, informatization and automatization have emerged as prevailing trends within the architecture-engineering construction and facility management (AEC/FM) industries (Zhang et al., 2022). Among these, artificial intelligence (AI) stands out as a potent technology, progressively revealing its diverse capabilities across various sectors (Regona et al., 2022). Despite the existence of the concept of AI for several decades, the level of understanding and awareness of AI among FM professionals remains unclear. Limited research and knowledge exist regarding how well FM professionals grasp AI concepts, deploy its use, comprehend its potential benefits, and understand the challenges associated with its implementation. Research This research aims to delve into the current landscape of AI understanding and awareness among Facility Management (FM) professionals. The study also endeavors to assess the present utilization of AI within FM practices and explore potential future applications. Additionally, it aims to scrutinize the factors influencing the adoption and implementation of AI in FM settings, analyzing comparative differences across diverse geographic regions or facility types. A survey was designed to collect information on facility managers’ awareness and understanding of selected popular AI tools and resources. This instrument was then pilot-tested by the SMEs to ensure its relevance. In November 2023 an invitation to participate in the survey was sent electronically via Qualtrics to more than 2,000 FM professionals. Over 400 individuals responded to the survey, reflecting a 15% response rate. The survey data was analyzed using a combination of statistical techniques including descriptive frequency counts, charts, and crosstabulations of responses for variables of interest. Preliminary Results: Among the respondents surveyed, 28% are not aware of the use of AI in facility management, 35% have a limited understanding of AI and 18% express a high level of understanding of the concept. Interestingly, only 4% reported formal AI-focused training participation, with an equal percentage expressing disinterest due to its perceived irrelevance in their current roles. However, 78% of those without AI training expressed keenness in engaging with such programs if presented with the opportunity. In practical implementation, only 23% affirmed integrating AI-driven technologies into their facility management practices. Overall, most facility managers (70%) expressed strong support and advocacy for the adoption of AI in facility management. The impact of this research serves as a pivotal catalyst for fostering broader systemic changes in workplace awareness of the integration of AI. Firstly, the findings provide data on the level of understanding of AI among FM professionals. Thereby, acting as a clarion call for organizations to reevaluate preconceived notions on their workforce understanding of AI. The research outcomes provide empirical evidence to support the necessity of providing the workforce with training and educational programs focused on AI applications. Beyond the corporate sphere, the study's implications reach educational institutions, encouraging the incorporation of AI-based curricula that prepare future FM professionals for technologically driven workplaces.
Session 1:
Associate Dean Brigid Mullany
Associate Professor Brett Tempest
Assistant Professor Jaewon Oh
Postdoctoral Researcher Yunesh Saulick
Session 2:
Associate Prof Olya Keen
Professor Ron Smelser
Associate Professor Taghi Mostafavi
Postdoctoral Researcher Yunesh Saulick
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