The influence of key performance indicators (kpis) on project success: Case study of Selected infrastructure projects in Sekondi-Takoradi metropolitan area

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The Construction industry is very complex in nature; and is being challenged by highcost pressure, and increasing competition. This research aimed to investigate the influence of key performance indicators (KPIs) on infrastructure project success. Thiswas achieved through three (3) main objectives which were 1) To identify the most significant key performance indicators (KPIs) about infrastructure projects delivery in Ghana 2.) To determine the most significant factors/indicators for measuring project success of infrastructure projects delivery in Ghana 3.) To examine the intricate/underlying relationships between the most significant key performance indicators and project success. Extensive literature review was done,and a quantitative survey was designed and used in the research. Among the fifty-two (52) copies of questionnaires that were distributed, only fifty (50) copies were gotten back and this depicts 96.2%. of the responsive respondents. With the help of the techniques in quantitative data analysis (mean scores, percentages and frequencies, etc.), through Statistical Package for Social Sciences (SPSS)IBM version 23, helpful meanings were extracted from the collected data to draw meaningful results, It was deduced based on the analysis that, quality, time and cost are the three most relevant and fundamental performance indicators in infrastructure projects and functionality, safety and satisfaction of the client/customer followed subsequently. Also, the most significant Key Performance Indicator was financial KPI. Based on the findings, it was recommended that, KPIs much be benchmarked for project portfolios. Also, there must be KPI reviews of the processes regarding deviations
A thesis submitted to the Department of Construction Technology and Management, College of Art and Built Environment, in partial fulfillment of the requirements for the Degree of Master of Science.
Performance, Functionality, Indicators