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The construction industry is a major contributor to socio economic development and an extensive user of energy and natural resources; therefore, its engagement is fundamental to sustainability. This research prioritizes investment spending in the construction sector in Saudi Arabia to meet sustainable development. This research uses integrated structure equation modeling (SEM) and analytical hierarchy process (AHP) as a solution approach for prioritizing the alternatives for the decision maker. Experts and decision makers have been interviewed to define the main and subcriteria and the corresponding pairwise comparison matrix. Economic, environmental, and social (EES) criteria were considered, including 8, 8, and 5 subcriteria, respectively. SmartPLS applying the partial least squares structural equation modeling (PLS-SEM) method and expert choice for AHP were used to rank investment in the construction sector in Saudi Arabia in order to attain sustainable development.
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Khadar et al. (2020) studied this question.
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