Global Journal of Human Social Science, E: Economics, Volume 22 Issue 7
II. M aterials and M ethod This research was conducted in a descriptive- survey manner. A questionnaire was used to collect information, which included three general sections. The first part included a guide to the questionnaire and the method of answering the questions, the second part was related to the demographic characteristics of the individuals and the third part was the questions related to the research problem. The statistical population of the present study is the managers and experts of contracting companies in the field of EPC projects. The method used is the Delphi method and the sample size is 40 people; the snowball method was used to select the specialists. In this study, to prove the validity of the questionnaire, first a number of questionnaires were provided to experts and after reviewing the opinions of each expert, the questionnaire was modified and the final questionnaire was developed. Thus, the content validity of the questionnaire was confirmed by a number of experts. Cronbach's alpha was used to evaluate the reliability of the questionnaire. The Cronbach's alpha value obtained using SPSS software was 0.89. If the Cronbach's alpha value is higher than 0.7, the questionnaire has good reliability (Nunally and Bernstein, 1978). III. R esults The highest frequency was related to the age group of 41 to 45 years with 40%. The highest level of education belongs to the master's degree group with 42.5%. The highest job title belonged to the project manager group at 45%. The highest frequency is related to metro projects at 52.5%. The Anderson-Darling test was used to determine the normality of the data. If the null hypothesis of the Anderson-Darling test is confirmed, the data have a normal distribution and therefore parametric tests can be used to analyze the data. The results of this test are shown in Table 1. According to the obtained results, because the significance level of all variables is more than 0.05, the null hypothesis of Anderson-Darling test is confirmed and the data have a normal distribution. To test the research hypotheses, one-sample parametric t-test was used. In this test, H1 indicates the acceptance of the hypothesis and H0 indicates the non-acceptance of the hypothesis. Table 2 shows the results of data analysis on research hypotheses. Table 1: Anderson-Darling test results to determine the normality of the data p-value Statistics Variable 0.192 0.094 Proper design and engineering 0.200 0.124 Proper project planning 0.165 0.087 Timely financing 0.085 0.134 Timely supply of equipment 0.119 0.079 Quality manpower 0.076 0.185 Knowledgeable project manager and workshop supervisor 0.112 0.086 Project control 0.087 0.093 Avoiding complex bureaucracy 0.134 0.157 Quality materials and equipment 0.085 0.143 Selection of quality subcontractors 0.188 0.076 Lack of successive changes in the project implementation team 0.121 0.147 Adequate expertise 0.067 0.153 Proper installation, commissioning and troubleshooting of equipment 0.085 0.076 Timely payment to the contractor 0.087 0.093 Applying project cost management 0.0131 0.152 Applying project risk management 0.065 0.167 Applying project communication management 0.112 0.079 Creating innovation and using new technologies 0.113 0.154 Economic stability 0.072 0.188 Coherence of organizational structure Table 2: One-sample parametric t-test results Test value = 48 Variable t- statistics Degrees of freedom Sig. (2-tailed) Mean difference 95% confidence interval of the difference Lower bound Upper bound Proper design and engineering 6.21 39 0.001 8.12 6.59 14.71 Proper project planning 5.78 39 0.021 5.67 5.43 11.10 Timely financing 7.01 39 0.003 6.23 5.96 12.19 Timely supply of equipment 7.58 39 0.0001 8.35 6.71 15.06 Quality manpower 6.92 39 0.001 7.23 6.31 13.54 Volume XXII Issue VII Version I 64 ( ) Global Journal of Human Social Science - Year 2022 © 2022 Global Journals E Designing an Optimal Model to Implement and Increase the Profitability of EPC Projects
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