4.6 Article

A Partial Least Squares Structural Equation Modeling of Robotics Implementation for Sustainable Building Projects: A Case in Nigeria

Journal

SUSTAINABILITY
Volume 15, Issue 1, Pages -

Publisher

MDPI
DOI: 10.3390/su15010604

Keywords

construction projects; sustainability; robotics; resources; environment; structural equation modeling

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Sustainability concepts should be integrated with new technologies to achieve optimum results, while ensuring project objectives are not compromised. This research empirically examines the impact of identified drivers on the implementation of robotics in the building sector of developing countries. Through a survey method and exploratory factor analysis, the drivers of robotics were derived and contextual adjustments were made. The results reveal that the drivers can be categorized into three main constructs: technology, industry, and culture. The benefits of implementing robotics can be grouped into resources and environment. The study further analyzes the connections between the drivers and robotics applications using partial least squares structural equation modeling, finding that the drivers have a considerable influence on the implementation of robotics in Nigeria's building industry, with an impact of 14.5%. These findings provide valuable insights for policymakers seeking to enhance sustainability in building projects through the use of robotics.
Sustainability concepts should be adopted via new technologies to achieve the greatest possible gains without compromising the objectives of projects. In this research, we empirically investigated the influence of identified drivers on the implementation of robotics in the building sector of developing countries. To this end, with a view to sustainable building projects, the drivers of robotics were derived from the literature, which were subsequently contextually adjusted using a survey method through the exploratory factor analysis (EFA) method. The results of EFA revealed that the drivers of robotics can be classified into three primary constructs: technology, industry, and culture. However, the benefits of implementing robotics can be grouped into two primary constructs: resources and environment. Therefore, in this study, we employed partial least squares structural equation modeling (PLS-SEM) to evaluate the connections amongst drivers and applications of robotics in Nigeria's building industry. The results indicated that the input to the implementation of robotics in Nigeria's building industry via the drivers of robotics has a considerable influence at a small scale, with an impact of 14.5%. The findings of this study can serve as a guide for policymakers looking to improve their projects and increase sustainability by using robotics in the building sector.

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