Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2026
|
| Online Access: | https://doi.org/10.5281/zenodo.19372792 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- <p><span lang="EN-US">This study adopts a deductive verification approach, which aims to test theoretical propositions through empirical hypothesis testing. In a deductive research design, the investigation begins with an established theoretical framework, followed by the empirical testing of hypotheses using quantitative data analysis. Accordingly, this study is categorized as explanatory research, as it seeks to examine causal relationships among variables and evaluate theoretical models through statistical analysis. </span><span lang="EN-US">The research is grounded in the positivist paradigm, which emphasizes hypothesis testing, objective measurement, and the generalization of findings derived from quantitative analysis</span><span lang="EN-US">. To analyze the structural relationships among variables in the proposed model, this study employs Structural Equation Modeling (SEM) using the Partial Least Squares (PLS) approach. The analysis is conducted using SmartPLS version 3.0. The SEM-PLS method is particularly suitable for analyzing complex research models involving multiple latent constructs and mediating variables, while also accommodating relatively flexible assumptions regarding data distribution and sample size.</span></p>