Evaluating the performance of investigation officer in solving cybercrime cases / Syamsyul Anuar Saad, Timmy Aheng and Norhana Rahman

Solving cybercrime cases within a stipulated time frame is a major Key Performance Indicator (KPI) among Investigation Officers (IO) and Assistant Investigation Officers (AIO) in the Royal Malaysia Police (RMP). This study seeks to understand the factors influencing IO and AIO in the State of Johor to solve cybercrime cases within then stipulated time frame. A cross-sectional study was undertaken to explore the potential relationship between motivation, attitude, workload and knowledge among IO and AIO in solving cybercrime cases. The primary data was collected through the distribution of a set of questionnaires to 72 officers in Johor. The responses from all respondents were analysed using Statistical Package for Social Sciences (SPSS). Descriptive and multivariate analysis were conducted. The majority of officers (88.0%) reported an average case-solving duration of 6 months, indicating that a significant portion encountered a 6-month timeframe in resolving cybercrime cases. The multivariate analysis revealed a positive correlation between attitude and knowledge, impacting the effectiveness of IO and AIO in handling cybercrime cases. However, motivation and workload were discovered to not influence the performance of IO and AIO. This suggests that while attitudes and knowledge are crucial factors in determining effectiveness and performance, motivation and workload might not be media influencers in this specific context of dealing with cybercrime cases. This study can assist RMP in refining their training programs to emphasise the development of attitudes and knowledge crucial for effectively managing cybercrime cases among IO and AIO. Additionally, it suggests that policies focusing solely on motivation and workload might not yield significant improvements in this specific context of cybercrime investigation.