The Best Criteria for the Selection of Consultant Offices Construction Industry in Libya | ||||
The International Conference on Civil and Architecture Engineering | ||||
Article 26, Volume 10, 10th International Conference on Civil and Architecture Engineering, May 2014, Page 1-14 PDF (258.26 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/iccae.2014.44188 | ||||
View on SCiNiTO | ||||
Authors | ||||
Y. Alamiri1; S. Mahfouz2; N. Amer2 | ||||
1Libyan Army, Libya. | ||||
2Egyptian Armed Forces, Military Technical College, Egypt. | ||||
Abstract | ||||
Abstract A questionnaire has been designed and presented to determine the most important criteria affecting the choice of the best consulting offices in construction projects in the public sector in Libya. The questionnaire consists of Ninety-nine sub-criterion covering on two main fields. The first field: human resources contain six main criteria and thirty-four sub-criteria. The second field: physical possibilities contain sixteen main criteria and sixty-five sub-criteria. The questionnaire is spreaded over expert engineers, to rate the criteria on likert scale, (1 to 5). The validity and reliability of the questionnaire have been tested to ensure that the collected data is meaningful. In order to ensure the veracity of the internal consistency of the questionnaire, the questionnaire has been distributed over the decision-maker experts to calculate the correlation coefficient Pearson. In the reliability analysis, Cronbach’s Alpha coefficient and arithmetic average of results have been determined utilizing the Statistical Package for Social Sciences (SPSS). Finally, the study shows that there are seven main criteria that mainly control the selection of the consulting office. These criteria are human capabilities, office experience, previous performance level, quality control, office equipment, administrative system, training and development. | ||||
Keywords | ||||
Consulting offices selection criteria; validity and reliability; correlation coefficient Pearson; Cranach’s Alpha coefficient; Libya construction industry | ||||
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