Factors influencing to use of Bluezone

TL;DR

This study investigates key factors influencing user intention to adopt Bluezone, identifying trust, performance expectations, effort expectations, and social influence as significant positive factors through survey analysis and structural equation modeling.

Contribution

It identifies and quantifies the main psychological and social factors affecting Bluezone adoption, providing insights for enhancing user engagement.

Findings

Trust positively influences behavioral intention.

Performance expectations increase willingness to use Bluezone.

Social influence impacts user adoption decisions.

Abstract

This study aims to understand the main factors and their influence on the behavioral intention of users about using Bluezone. Surveys are sent to users through the Google Form tool. Experimental results through analysis of exploratory factors on 224 survey subjects show that there are 4 main factors affecting user behavior. Structural equation modeling indicates that trust, performance expectations, effort expectations, and social influence have a positive impact on behavioral intention of using Bluezone