1 AN ASSESSMENT OF THE MANAGEMENT SYSTEMS IN PROJECT PERFORMANCE WITHIN THE BUILDING CONSTRUCTION INDUSTRY IN ABUJA, NIGERIA Dr. Kamau, P. K.; Prof. Mireri, C. and Usman, N.D.* Department of Environmental Planning and Management, School of Environmental Sciences Kenyatta University *Coresponding Author: Usman, N.D. 0736599197 E- mail: napodanusman@yahoo.com @ Architecture, Environment, Technology and Society in the Global South, Jomo Kenyatta Uniniversity of Agriculture and Technology SABS CONFERENCE 10 th – 12 th October, 2013 Abstract The building and construction industry has continued to be a major player in the socio- economic development of many countries globally. Apart from creating employment, it provides shelter to millions as well as operational infrastructure such as offices, schools and hospitals. However, recently, issues of quality, costs, reliability and human and environmental safety have emerged posing a challenge to the growth of industry. This study sets out to examine how management systems influence the performance of projects within the building construction industry in Nigeria. Specifically, the study aims to assess how the Life Cycle Management system (LCM) has influenced project performance in the building and construction industry in Abuja, Nigeria, which has experienced exponential expansion yet it, continues to face challenges of quality. The objectives of the study is to examine the significance of LCM adoption on building project performance and to establish its effectiveness in enhancing project performance in the building industry in Abuja Nigeria, and how it influences initial process, planning, implementation and completion phases for enhanced project performance. Data for this study was collected from a sample of n=230 selected from a population of 350 architects, 352 builders, 354 engineers, 354 quantity surveyors, 350 urban and regional planners and 350 contractors. From each of this population, a random sample of 10% was obtained to provide a sample of n=230. Data was collected by use of standardized questionnaires and interviews. The responses to the questionnaire were programmed and analyzed using Simple Linear Regression. The regression model was used to analyse the relationship between the applications of LCM