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Development of Key Performance Indicators for Ethiopian Construction Contractors Using Structural Equation Modelling
Traditional approaches to performance measurement in organizations may not aid in improving the organization's performance. They fail to provide clear indicators of what needs to be changed in the way an organization is managed and operated. This study addresses the issue of the lack of a Key Performance Indicators (KPIs) Model for construction contractors’ performance assessment that is developed to match the needs of the Ethiopian local construction market. KPIs are widely known and implemented in developed construction markets. The objectives of the study were to identify the significant KPI’s that recognized the needs and conditions of the Ethiopia construction industry and to weight and model the identified KPI’s using the application of Structural Equation Modeling (SEM). Hence, the literature reviewed several exemplary KPI models from various markets and developed an initial set of 14 KPIs that are relevant to construct the proposed Ethiopian model. To establish their significance to local contractors, a survey questionnaire has been conducted. A total of 73 respondents from contracting firms participated in the study. The obtained data was processed using IBM SPSS Statistics. The reliability and validity of the model was proven and the significance of each KPI was assessed. A KPIs model consisting of 14 elements developed through SEM using Amos 20.0. The model resulted that importance of factor 2 comprised of Productivity, Business Performance, Employees Performance were ranked in the top of the KPI model. On the other hand, the Cost of Construction KPI tun out to be the most significant of the KPI’s when compared as a whole. As an outcome of this study, the proposed KPIs model established a scientifically based tool to aid local construction contractor working in Ethiopia for evaluating their company performance in real time.
Development of Key Performance Indicators for Ethiopian Construction Contractors Using Structural Equation Modelling
Traditional approaches to performance measurement in organizations may not aid in improving the organization's performance. They fail to provide clear indicators of what needs to be changed in the way an organization is managed and operated. This study addresses the issue of the lack of a Key Performance Indicators (KPIs) Model for construction contractors’ performance assessment that is developed to match the needs of the Ethiopian local construction market. KPIs are widely known and implemented in developed construction markets. The objectives of the study were to identify the significant KPI’s that recognized the needs and conditions of the Ethiopia construction industry and to weight and model the identified KPI’s using the application of Structural Equation Modeling (SEM). Hence, the literature reviewed several exemplary KPI models from various markets and developed an initial set of 14 KPIs that are relevant to construct the proposed Ethiopian model. To establish their significance to local contractors, a survey questionnaire has been conducted. A total of 73 respondents from contracting firms participated in the study. The obtained data was processed using IBM SPSS Statistics. The reliability and validity of the model was proven and the significance of each KPI was assessed. A KPIs model consisting of 14 elements developed through SEM using Amos 20.0. The model resulted that importance of factor 2 comprised of Productivity, Business Performance, Employees Performance were ranked in the top of the KPI model. On the other hand, the Cost of Construction KPI tun out to be the most significant of the KPI’s when compared as a whole. As an outcome of this study, the proposed KPIs model established a scientifically based tool to aid local construction contractor working in Ethiopia for evaluating their company performance in real time.
Development of Key Performance Indicators for Ethiopian Construction Contractors Using Structural Equation Modelling
Abel Altaseb Adane (Autor:in)
13.03.2020
doi:10.20372/nadre/19794
Hochschulschrift
Elektronische Ressource
Englisch
DDC:
690
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