Factors affecting performance of security departments in public organizations within the energy sector, (a case study of Kenya Power and Lighting Company

Abstract

This research project was based on the topic: To investigate the factors affecting performance of security department of Kenya Power and Lighting Company, a brief background of the company is highlighted, this includes definition of performance, factors influencing performance, the importance of performance a historic background and the main function of KPLC. It also includes the company's organizational structure and asset base. Security in many organizations worldwide has become a critical issue. William .A. et al(1985) says security is a broad field related to asset management of physical security and human resource safety, it entails the identification of an organization's assets, the, development, documentation and implementation of policies, standards, procedures and guidelines, these affects the performance of the security department. An extensive literature review was done on the same and several past studies have also been reviewed touching on the main variables (supervision of security guards, ethical consideration and honesty of security officers, security systems and equipments and structure and establishment of the Security department of KPLC) The methodology of the research was descriptive since it's the precise measurement and reporting of the characteristics of the phenomena, this method was appropriate and was used to answer the research questions, the target population was the KPLC security employees in all the four regions(coast, Nairobi, Central Rift and Mt. Kenya) totaling 50, The study employed the stratified method of sample design since it ensured a better coverage of the problem which is homogeneous, the sample size was 30. Both primary and secondary data were utilized in this research, data collection was by use of questionnaire as an instrument of sourcing for information in a clear and simple language. The questionnaires were distributed and collected physically from respondents. Finally data was analyzed by use of descriptive statistical method; this included measures of central tendency, graphs, pie charts and bar graphs which aided the final conclusions