Application of Advanced Technology in Criminal Investigation with Mediating Effects of Technology Training

Abstract

Proactive strategies and tactics are essential in combating crime, making technology-assisted crime prevention methods crucial for effective law enforcement. Technological advancements have provided new perspectives and innovations beyond conventional tactics. This study explores the impact of advanced technological tools on crime investigations, emphasizing the importance of technology training as a mediating factor through the development of a model. Data for this model was collected from 375 respondents from key departments such as the General Department of Criminal Investigations (CID), the General Department of Forensic Science and Criminology (FSCD), and the Operations Division and analyzed using Smart-PLS software. The model revealed that training has a significant positive impact on the relationship between technology use and crime investigation outcomes, with a path coefficient of 0.269 (t-statistic = 6.921, p = 0.000). Specifically, License Plate Recognition (LPR) systems showed a strong positive impact (path coefficient = 0.628, t-statistic = 12.226, p = 0.000), and Crime Mapping Software (CM) also contributed positively (path coefficient = 0.471, t-statistic = 5.871, p = 0.000). However, Facial Recognition (FR) and Crime Cameras (CC) demonstrated negative impacts, with path coefficients of -0.250 and -0.252, respectively. The study concludes that the strategic integration of technology and comprehensive training is crucial for optimizing criminal investigation processes within the Abu Dhabi Police. It emphasizes the need for ongoing adaptation and investment in both technology and training to enhance law enforcement capabilities in the UAE.