INFORMATION MANAGEMENT IN THE CONTEXT OF COMMUNITY POLICING AND CRIME PREVENTION IN MERU COUNTY, KENYA
INFORMATION MANAGEMENT IN THE CONTEXT OF COMMUNITY POLICING AND CRIME PREVENTION IN MERU COUNTY, KENYA
Philp Boen - Student, Masters in Public Policy and Administration, Kenyatta University, Kenya
Wilson Muna - Lecturer, Department of Public Policy and Administration, Kenyatta University, Kenya
ABSTRACT
Evidence on effectiveness of community policing information management system on crime prevention in Meru County is not clearly documented. This study will help to gain insight into role of community policing information management on crime prevention in Meru County. The study sets out to: examine how intelligence gathering affect crime prevention in Meru, Kenya, interrogate data profiling of criminals in relation to crime prevention in Meru County, assess effect of data processing in crime prevention in Meru County and to establish how information sharing affect crime prevention in Meru County. The research will use social disorganization theory. Descriptive research design will be applied. The research will target about 160 residents residing in Meru County Kenya. The piloting was will be conducted using 14 respondents which are 10% of the sample size. Key informants will be drawn from the community policing members in Meru and National Police Service members. The sampling of the respondents will be done by stratified random sampling technique while the informants will be purposively sampled. The study will utilize quantitative and qualitative data collection techniques. Data collection will be done by use of questionnaire and structured interviews. Secondary data will be gathered using a thematic review of related literature on community policing and crime prevention. Consultation between the researcher and the supervisor will ensure content validity and guarantee that the research instrument measure what they intend to. Descriptive statistics will be used in presenting quantitative data in form of tables while qualitative data will be analyzed using content analysis.
