Supermarket Operators’ Perception of Effects: Shoplifting Crimes Within the CBD In Nairobi County, Kenya

Abstract

This paper established prevalence of the characteristics in the shoplifting crimes and determined the supermarket operators’ perception of the effects of shoplifting crimes on society. The study was guided by three objectives: to establish offender characteristics of the shoplifting crimes, to establish prevalence of the characteristics in the shoplifting crimes and to determine the supermarket operators’ perception of the effects of shoplifting crimes on society. The study was guided by Rational Choice and the Routine Activity Theories. The study used a census sampling technique with a sample size of a hundred respondents. These included 90 junior employees of Tuskys, Uchumi and Naivas Supermarkets, 3 branch managers, 3 police officers within the area of the study and 4 officials of the Nairobi Supermarkets Association. Interview schedule was used to collect data. Data collected was organized, summarized and interpreted thematically by use of graphs, frequency tables, and percentages. The findings revealed that the prevalence of shoplifting was 1-2 incidences in a week. The results also revealed that the most commonly used method was concealing of items which were majorly done by women. Further, whereas there are other types of shoplifters, a concern raised by 30% of the respondents is that significant number of criminals has made shoplifting a career. This should inform policy makers, especially in this era of unprecedented unemployment. Additionally, as indicated by 55% of the respondents, staff colluded with criminals to steal from the supermarkets. This should appeal to supermarket operators as this may have an implication on supermarket businesses in the CBD. The study recommends several target hardening strategies to counter shoplifting crimes that included using high Radio-frequency identification (RFID) and Electronic Article Surveillance (EAS) programmed surveillance and records linked to the law enforcement through alarm trigger alerts in case of suspicious activities, with high-quality identifiable traceable images of shoplifters, to local law enforcement agencies.