Evaluation of the Factors Affecting the Performance of Technical and Engineering Services of Islamic of Revolution Housing Foundation in rural (Case Study of Mehriz rural)

Strengthening and expanding the rural housing sector and providing technical and engineering services have led to improved quality of life, sustainable employment, rural development, diversification of the rural economy, increased incomes, reduced poverty and thus elimination of deprivation. Building a robust and safe environment against the dangers of natural disasters; makes it necessary to establish a basic and technical system which acts as a control mechanism in rural constructions.The main purpose of this study is to evaluate the factors affecting the performance of technical and engineering services of the Housing Foundation in villages which are located in Mehriz County. In terms of method, the research is descriptive-analytical and with regards to purpose, it is the applied one. Required information was collected by field method by taking the advantages of interview, observation and questionnaire. A questionnaire was prepared by the researcher according to the research objectives. Questionnaire consists of the queries which are prepared according to answers in likert scale of 5 scales and moreover the questions were defined in order to satisfy the needs of the researcher. In order to measure the internal validity, first the content validity method was applied to increase the validity of the questionnaire and then Cronbach’s alpha was used to measure the reliability of the research tool. The statistical population of this research includes the head of household, village administration, village council, directors and experts of Islamic Revolution Housing Foundation, managers and experts of county prefecture, governor, and administrators and experts of rural affairs in governorate. Descriptive statistics method was applied for briefing the survey’s results, for examining the hypotheses, the Chi-square test was used and finally the researcher took the advantage of Friedman test and the t-test for prioritizing the variables in the technical software of SPSS. Sample size includes 46.7% of the head of the household, 20% of the rural municipality and the Islamic Council of the village, 20% of the managers and experts of the Housing Foundation of the Islamic Revolution, 6.7% of the managers and experts of the district and the governorate, finally 6.7% of the managers and experts of rural affairs. The results show that the factors affecting the performance of technical and engineering services of the Housing Foundation are summarized in three indices, respectively: 1- The most important factor in the human force index is the proper interaction between employees in order to advance clientschr('39') work. 2- The most substantial factor of the financial and economic indicators is the allocation of appropriate credits for construction. 3- The most significant factor of the workshop and equipment is the use of new, pre-fabricated, durable and quality materials for rural projects. Based on the results, the significance level of all data was less than 0.05, so the distribution of data obtained from research questionnaires is normal. For this purpose, parametric statistics can be applied to test hypotheses. Furthermore, considering that the value of Cronbachchr('39')s alpha coefficient calculated for each of the hypotheses is greater than 0.7, it can be concluded that the designed questionnaire has acceptable reliability. Based on the fact that out of the seven factors measured for the first index, two impact factors have shown up to 95% and five impact factors have shown up to 99%, so appropriate specialist staffs for providing the clients with services is determined as the most effective factor. Based on the fact that out of 8 factors measured for the second index, two impact factors have shown up to 95% level and 6 impact factors have shown up to 99% level, so the appropriate money and credit were allocated for the construction of projects are specified. Based on the fact that out of 8 factors measured for the third index, 2 impact factors have shown up to 95% level and 6 impact factors have shown up to 99% level, so the use of new, prefabricated, durable and quality materials for rural projects is determined.