Understanding Behavioral Intention to Use of Air Quality Monitoring Solutions with Emphasis on Technology Readiness

Abstract

This study aims to investigate the determinants of Behavioral Intention to Use (BIU) within the scope of Air Quality Monitoring Solution (AQMS), with a focus on Technology Readiness (TR). It explores nine crucial variables: Effort Expectancy (EE), Performance Expectancy (PE), Social Influence (SI), Facilitating Condition (FC), Hedonic Motivation (HM), Price Value (PV), Habit (HB), and TR using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework. Data collection involved 371 participants via surveys and questionnaires, with demographic variables such as Gender (G), Age (A), and Location (L) serving as moderating factors. Analysis conducted with smart-pls 4.0 software revealed a notable correlation between TR and BIU, identifying HM as the most pivotal factor. The study's theoretical and practical contributions offer a nuanced understanding of the integration between TR features and the UTAUT2 model, highlighting HM's critical role in influencing AQMS user behaviors. Furthermore, it delivers strategic insights for developers and policymakers aimed at improving air quality monitoring systems. The research enhances the comprehension of technology adoption dynamics in environmental surveillance, setting the groundwork for refining AQMS's deployment and efficacy. It aligns technological innovations with user inclinations, underscoring the combined effects of TR and HM on AQMS-related user actions. Ultimately, the findings illuminate TR's significance and interplay within the UTAUT2 framework, providing actionable recommendations for crafting more effective air quality monitoring solutions.