dc.description.abstract | n Kenya and in today's world, cybercrimes present a greater challenge in terms of detection and
investigation compared to traditional crimes. As cybercrimes continue to evolve and become more
complex, law enforcement agencies must continuously adapt their Information Technology tools
to effectively combat this menace. These crimes have significant adverse effects on individuals'
reputations, investors' finances, and data security. To prevent such damages, this study aimed to
assess the application of Information Technology (IT) and propose a model applicable for
investigating cybercrimes within the Directorate of Criminal Investigation (DCI) in Kenya. A case
study approach was employed to explore the extent of Information Technology application in
crime investigation, with a particular focus on using a regression model. Primary data was
collected through the random distribution of questionnaires to 361 police officers from different
units within the DCI department. The study developed a regression model that incorporated key
variables, namely Information Technology tools, quality and quantity of evidence, and security of
law enforcers The Pearson product-moment correlation was utilized to examine the associations
among the study variables, while the regression model aimed to illustrate whether alterations
observed in the dependent variable are linked to variations in the explanatory variables. The
findings revealed that Information Technology Tools, Quantity and Quality of Evidence, and
Security of Law Enforcers exhibited a positive and significant relationship with cybercrime
investigation. Based on these results, it can be concluded that the utilization of Information and
Communication Technology (ICT) tools has a positive and significant impact on the effectiveness
of cybercrime investigation within the Department of Criminal Investigations (DCI) in Nairobi.
The study recommended that the DCI conducts regular training sessions and workshops to keep
investigators up to date with the latest technologies and their applications in cybercrime
investigation. Additionally, future research should consider controlling for potential confounding
variables that might influence the relationship between ICT tools usage and the effectiveness of
cybercrime investigation. | en_US |