Abstract
Sensing technologies present great improvements in construction performance including the safety, productivity, and quality. However, the corresponding applications in real projects are far behind compared with the academically research. This research aims to discover dominate influence factors in the sensing technologies adoption and ultimately develop a governance framework facilitating adoption processes. The framework is dedicated on general sensing technologies rather than single sensor in previous framework studies. To begin with, the influence factors of sensing technologies and other similar emerging technologies are summarised through a review. Then, a mixed methods design was employed to collect quantitative data through an online survey, and qualitative data through semi-structured interviews. Findings of the quantitative method reveal that the most widely implemented sensing technologies are GPS and visual sensing technology, but they’re still not adopted by all construction companies. Partial Least Squares Structural Equation Modelling reveals that supplier characteristics have the highest effect in all influence factors. Qualitative method was adopted to investigate perceptions of construction stakeholders on the major decision-making considerations in the adoption process. Ultimately, a triangulation analysis of findings from the literature review, online survey and interviews resulted in the governance framework development. The overarching contribution of this research focus on the general adoption of sensing technologies rather than the adoption of a specific sensor. Therefore, the governance framework can assist with the decision-making process of any sensing technology adoption in construction.
Highlights
Introduction iationsThe construction industry is regarded as an information-dependent and informationintensive domain because of the complexity and dynamic nature of construction projects [1].The conventional data collection process is labour-intensive, costly, and error-prone, which can’t meet the increasing requirements of modern construction management [2,3]
The analysis shows that even popular technologies such as Global Positioning System (GPS) and visual sensing technology are not adopted by many building and infrastructure construction companies
The adoption rate of other sensing technologies such as Radio Frequency Identification (RFID) or Fiber Optic Sensing (FOS) technology is even lower than GPS and visual sensing technology
Summary
The construction industry is regarded as an information-dependent and informationintensive domain because of the complexity and dynamic nature of construction projects [1]. The conventional data collection process is labour-intensive, costly, and error-prone, which can’t meet the increasing requirements of modern construction management [2,3]. The sensing technology has been employed in automated data acquisition, which revolutionizes data collection, transmission, and analysis in the construction industry. It is promising to be used accompanied by the development of advanced construction technology such as 3D printing technology [4,5,6,7]. Sensing technologies are employed in the experimental investigation on rehabilitation of corroded reinforced concrete columns [8,9,10]. For structure built with new cement materials such as solid wastes incorporated concrete, the structural
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