Development of an Integrated Computerized Construction Equipment Management System (CEMS) Model for Addis Ababa City Roads Authority

Abstract

The future of the Ethiopian construction industries lies in shifting organizational structures of organizations like AACRA towards high-growth competitive enterprises that are linked to the domestic economy that satisfies the development of heavy infrastructure like roads in the country. Reviving investment in such organizations for this purpose will require equipment management policies, strategies and substantial efforts to mobilize advanced information technology and software tools. This study analyzed the value of major critical success factors for the selection, development and implementation of an Integrated computerized equipment management system (CEMS) functionalities based on the proposed and developed Integrated Equipment Management Conceptual Framework Model for Addis Ababa Roads Authority(AACRA). For quantitative survey design of this research, Proportionate Stratified Random Sampling was used for the population of 205 , a sample size of 134 was obtained, which is just over half the total population, is needed to obtain a confidence level of 95%. Non-Probabilistic Purposive/ Judgmental Sampling method was chosen based on pre-determined criteria, as a result 8 (eight) respondents were selected to participate in a one on-one interview method. The reliability of the survey was checked by Cronbach alpha which showed that the questionnaire is reliable to use. The validity of the survey was examined by factor analysis. Factor analysis proposed 9 factors and the study had 8 factors which almost confirms the relationship between the study factors and dimensions of factor analysis which is 9 From the study, it was observed that there most of the respondents belong to Equipment supply, administration, and maintenance work. Significant factors were analyzed using the ANOVA technique. Significant factors of our study included tools supply and management, asset maintenance, spare parts control, asset maintenance fleet management, and asset inventory. Given the resulting outcomes, analysis took a deductive confirmatory approach driven by specific questions and ideas in which the interview participants responses were then considered within the context of existing self-management theory based on content analysis as a specific type of research tool rather than an inductive, exploratory approach. They respondents also largely agreed on common terms that are coded in all tables as per the analysis result shown in the tables. The average percentage distribution for each coded tables indicate that they would need to rely on the research results to identify the critical success factors for the implementation of CEMS.