Effect of Asset Identification and Tracing on the Fight against Corruption in Kenya

Ahmed Sadik and PhD Solomon Muhindi
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Ahmed Sadik: Master’s Degree in Governance and Ethics, School of Social Sciences, Mount Kenya University, Kenya
PhD Solomon Muhindi: Lecturer School of Social Sciences, Institute of Security Studies, Justice, and Ethics

International Journal of Research and Innovation in Social Science, 2024, vol. 8, issue 6, 2547-2557

Abstract: The general objective was to examine effect of asset identification and tracing, on the fight against corruption in Kenya. This research used a pragmatic research approach and hence it adopted both qualitative and quantitative approaches. The research employed a descriptive design. Population targeted was 320 staff working in Ethics and Anti-Corruption Commission (EACC), Asset Recovery Agency (ARA), and Office of Directorate of Public Prosecution (ODPP). Slovin’s Formula was utilized to establish the size to be sample. Stratified random sampling method was adopted to choose 177 staff from the population targeted. The research employed primary information, which will be gathered using semi-structured questionnaires. The questionnaires produced both quantitative and qualitative information. The outcomes from data analysis were presented in form of a narrative. The study found that asset identification and tracing had a positive and significant effect on the fight against corruption in Kenya. The study recommends that it is imperative for relevant agencies to continue investing in and strengthening their capacity for asset identification and tracing. This includes providing ongoing training and resources to staff members involved in these processes to ensure they remain competent and effective in their investigations. Given the high level of effectiveness, reliability, and competency demonstrated in detecting and tracing illicitly acquired assets, there is a need for continuous improvement and innovation in the methods employed by these agencies. Embracing technological advancements and data analytics tools can enhance the speed and accuracy of asset tracing processes, enabling authorities to stay ahead of increasingly sophisticated methods used by corrupt individuals to conceal their assets.

Date: 2024
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