Influences of Earned Value Management on Construction Project’s Performance in Yemen
Waled Hakami1, M. A. Shameri2, Belal R. Aldhubhani3
1Dr. Waled Hakami*, Assistant Professor, Architecture Department, College of Engineering, University of Science & Technology, Yemen.
2Dr. M. A. Shameri, Assistant Professor, Architecture Department, College of Engineering, University of Science & Technology, Yemen.
3Dr. Belal R. Aldhubhani, Assistant Professor, Architecture Department, College of Engineering, University of Science & Technology, Yemen.
Manuscript received on September 11, 2020. | Revised Manuscript received on September 26, 2020. | Manuscript published on October 10, 2020. | PP: 64-70 | Volume-9 Issue-12, October 2020 | Retrieval Number: 100.1/ijitee.I68291091220 | DOI: 10.35940/ijitee.I6829.1091220
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Most of projects in developing countries suffer cost overruns, behind the schedule, and bad quality due to improper monitoring and controlling technique. This study investigated the earned value management in Yemen as a monitoring and controlling technique and its relation with the project performance. The both qualitative and quantitative methods were adopted covering unstructured interview and questionnaire. This study conducted both pilot study and pre-test which led to proper instrument used in large-scale survey. Reliability and validity tests applied on the instrument which judged it to be reliable and valid. SPSS IBM 19 analysed the data showing that the Earned value has not understood due to lack of knowledge and wasn’t practiced in the site. Consequently, this led to performance failure. To overcome this issue, the academics and practitioners should study and practice earned value management in Yemen particularly, and in developing countries in general.
Keywords: Knowledge of EVM, Developing Countries, Small-Scale Survey, Academics.