Implementation of SEM Partial Least Square in Analyzing the UTAUT Model

ABSTRACT:Partial Least Squares (PLS) Structural Equation Modeling (PLS-SEM) is a statistical technique used to analyze the expected connections between constructs by evaluating the existence of correlations or impacts among these constructs. The objective of this work is to employ the Structural Equation Modeling (SEM) technique, specifically Partial Least Squares (PLS), to investigate the Unified Theory of Acceptance and Use of Technology (UTAUT) model in the specific domain of payment technology acceptance and utilization. The UTAUT model encompasses latent variables classified into independent, mediator, moderator, and dependent categories. Hence, the appropriate approach, the partial least squares structural equation modeling (PLS-SEM) method, was chosen. The rationale behind this decision is the capability of PLS-SEM to assess models with a relatively limited dataset, as demonstrated in this study, which included a sample of 50 participants. This study employs a quantitative methodology utilizing a survey-based approach to gather data via questionnaires. The UTAUT model in the technology acceptance and use domain was accurately assessed by PLS-SEM, as evidenced by the findings. The findings have substantial implications for comprehending the factors that influence the adoption of payment technology, specifically focusing on the linkages between constructs in the UTAUT model. This research validates the model and establishes a foundation for a more profound comprehension of user behavior in accepting and utilizing payment technologies. Ultimately, using PLS-SEM demonstrated its efficacy in examining the UTAUT model. KEYWORDS :Structural Equation Model, Partial Least Square, UTAUT