Figure 2
The diagram presents a structural equation model with latent variables shown as circles and observed indicators shown as rectangular labels. On the left side, four latent variables are arranged vertically from top to bottom and labeled “T E C underscore S T”, “S E R V underscore Q”, “M K T G underscore S T”, and “S O C underscore ST”. The latent variable “T E C underscore S T” is connected upward to four observed indicators labeled “T E C underscore S T 1”, “T E C underscore S T 2”, “T E C underscore S T 3”, and “T E C underscore S T 4”, each with a factor loading value of 0.000. From “T E C underscore S T”, a rightward arrow labeled “0.206 (0.000)” points to the latent variable “P E R underscore VAL”, and another rightward arrow labeled “0.305 (0.000)” points to the latent variable “T R S T”. The latent variable “S E R V underscore Q” is connected to four observed indicators labeled “S E R V underscore Q 1”, “S E R V underscore Q 2”, “S E R V underscore Q 3”, and “S E R V underscore Q 4”, each with a factor loading of 0.000. From “S E R V underscore Q”, a rightward arrow labeled “0.281 (0.000)” leads to “P E R underscore V A L”, and another rightward arrow labeled “0.233 (0.000)” leads to “T R S T”. The latent variable “M K T G underscore S T” is connected to four observed indicators labeled “M K T G underscore S T 1”, “M K T G underscore S T 2”, “M K T G underscore S T 3”, and “M K T G underscore S T 4”, each with a factor loading of 0.000. From “M K T G underscore S T”, a rightward arrow labeled “0.233 (0.000)” points to “P E R underscore V A L”, and another rightward arrow labeled “0.184 (0.000)” points to “T R S T”. The latent variable “S O C underscore S T” is connected to four observed indicators labeled “S O C underscore S T 1”, “S O C underscore S T 2”, “S O C underscore S T 3”, and “S O C underscore S T 4”, each with a factor loading of 0.000. From “S O C underscore S T”, a rightward arrow labeled “0.110 (0.000)” extends to “P E R underscore V A L”, and another rightward arrow labeled “0.082 (0.026)” extends to “T R S T”. At the center of the diagram, the latent variable “P E R underscore V A L” is shown with an internal value of 0.487. It is connected upward to four observed indicators labeled “P E R underscore V A L 1”, “P E R underscore V A L 2”, “P E R underscore V A L 3”, and “P E R underscore V A L 4”, each with a factor loading of 0.000. From “P E R underscore V A L”, a downward arrow labeled “0.091 (0.026)” leads to the latent variable “T R S T”, and a rightward arrow labeled “0.275 (0.000)” leads to the latent variable “INT underscore USE”. Below “P E R underscore V A L”, the latent variable “T R S T” is shown with an internal value of 0.510. It is connected downward to three observed indicators labeled “T R S T 1”, “T R S T 2”, and “T R S T 3”, each with a factor loading of 0.000. From “T R S T”, a rightward arrow labeled “0.546 (0.000)” leads to “INT USE”. On the far right, the latent variable “INT underscore USE” is displayed with an internal value of 0.537. It is connected to four observed indicators labeled “INT underscore USE 1”, “INT underscore USE 2”, “INT underscore USE 3”, and “INT underscore USE 4”, each with a factor loading of 0.000.Path model. Source: Authors’ own work