The Influence of Monitoring Practices on School Construction Project by Force Accounts

Abstract

viii ABSTRACT The study set out to examine the influence of monitoring practices on COVID-19 school classroom construction project performance by force accounts at Arusha District Council. Monitoring, as the name suggests, refers to a continuous process that helps the project team track the progress of the implementing projects and informs the team to identify any project areas in which changes to the plan are required and initiate the corresponding changes. The main objectives of the study were to examine the influence of monitoring plan practices on the school’s classroom construction project performance, to determine the influence of monitoring tools practices on the school’s classroom construction project performance, and to assess the influence of monitoring techniques practices on school’s classroom construction projects performance in Arusha DC. The study adopted a descriptive research design with a target population of 239 respondents in Arusha, DC. Simple random and stratified sampling were used to select 150 respondents and 10 secondary schools. Primary data was collected from a sample size using a questionnaire, while secondary data was collected through reviews of literature and project documents. Pre-testing was performed through Cronbach’s Alpha test to assess the questions' reliability. Data collected were analysed using quantitative analysis. The relationship between variables was determined using Pearson correlation and multiple regression analysis. The study found that monitoring techniques and tools practices contribute to COVID-19 school classroom construction project performance significantly, as monitoring planning practices contribute to council construction project performance. From the findings, the study concluded that there is a significant linear relationship between monitoring planning, tools and techniques practices and COVID-19 school classroom construction project performance. Based on regression model results where 61.7% only explained the dependent variable, recommends further research on the influence of other factors (28.3%) on construction project performance