Social Influence on AI-Driven Air Quality Monitoring Adoption: SmartPLS Analysis
Keywords:
Artificial Intelligence, Air Quality, SmartPLSAbstract
This research aims to investigate the impact of social influence on the adoption of artificial intelligence (AI)-supported air quality monitoring technology. Despite the advancing development of monitoring systems in the modern technological era, the adoption of this technology is still influenced by various social factors that require detailed analysis. This study employs the SmartPLS
method to comprehend and evaluate the relationships and impacts of social variables on the adoption levels of this technology. The adoption of AI-supported air quality monitoring technology depends not only on technical aspects but also
involves social dynamics. Factors such as public perception, social norms, and social support play a crucial role in adoption decisions. By utilizing the SmartPLS method, this research aims to provide in-depth, comprehensive, and valid insights into the complexity of interactions between social factors and the adoption of AI-based air quality monitoring technology.
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