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  • This dissertation examines the implementation of smart policing in Macau, focusing on the adoption and challenges of facial recognition technology within the Macau Urban Electronic Surveillance System. As Macau pursues its smart city ambitions, the integration of advanced technologies into law enforcement has become a central strategy for enhancing public safety and operational efficiency. However, the actual acceptance and use of these technologies by frontline police officers remain underexplored. The study adopts a mixed-methods approach. documentary analysis of government policies and strategic documents provides an overview of Macau’s smart policing initiatives and the legal and infrastructural frameworks supporting them. The core of the research is a quantitative survey of Macau police officers who have direct experience with the facial recognition system. The survey is structured around the Unified Theory of Acceptance and Use of Technology (UTAUT), with additional attention to compatibility and perceived legal knowledge. The results reveal that performance expectancy and perceived legal knowledge are the strongest factors influencing officers’ adoption of facial recognition while effort expectancy, social influence, facilitating conditions and compatibility are less influential. Practical challenges were discovered through the Macau police officers.

Last update from database: 12/25/25, 7:01 PM (UTC)