Figure 3.
A visual representation of factors influencing a Green Sustainable Campus, showing nodes for Technology Adoption, Smart Building Technologies, and others, with connected weighted paths.The diagram displays a structural path model illustrating how five technological constructs contribute to the development of a green sustainable campus. These constructs are I O T System, Smart Building Technologies, Data Analytics for Resource Management, Automation in Facilities, and Digital Infrastructure. Each construct is represented by a circular blue node, with an associated value indicating the explained variance. Technology Adoption, positioned centrally, is influenced by I O T System (path coefficient 0.256 with p-value 0.002), Smart Building Technologies (0.163, 0.046), Data Analytics for Resource Management (0.185, 0.041), and Automation in Facilities (0.244, 0.031). In turn, Technology Adoption significantly affects the Green Sustainable Campus (0.202, 0.020). Other constructs also show direct relationships with the Green Sustainable Campus: I O T System (0.273, 0.000), Smart Building Technologies (0.089, 0.030), Data Analytics for Resource Management (0.371, 0.000), and Automation in Facilities (0.220, 0.001). These paths suggest both direct and mediated influences via Technology Adoption. Digital Infrastructure plays a mediating role, receiving influence from Technology Adoption (0.104, 0.012) and influencing the Green Sustainable Campus (0.089, 0.044). However, the path from I O T System to Digital Infrastructure is non-significant with a coefficient of negative 0.005 and p-value 0.895, and the path from Smart Building Technologies to Digital Infrastructure is negative 0.125 with p-value 0.002. All path coefficients are paired with their p-values in parentheses. The pink dotted lines represent indirect relationships involving Digital Infrastructure.

Structural model with path coefficient (beta) and p-values from bootstrapping test

Source: Authors’ own work

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