Recognition, measurement and evaluation of factors affecting corruption in the public sector of Khuzestan province using a three-pronged model (a study among selected executive bodies)

Administrative corruption is one of the most important problems of government organizations in third world countries, which weakens or destroys many organizational achievements. The present research seeks to identify, measure and evaluate the factors affecting administrative corruption in the public sector of Khuzestan province. This research was conducted with a mixed method (qualitative and quantitative). The statistical population includes large government organizations and four water and sewage organizations of Khuzestan province, the General Administration of Customs of Khuzestan Province, the General Administration of Roads and Urban Development of Khuzestan Province and the Organization of Industry, Mining and Trade of Khuzestan Province. Using the snowball method, 12 experts of this The organizations were interviewed and the results were analyzed using the qualitative content analysis method. Then, a questionnaire was developed and after verifying the validity (form and content) and reliability (Cronbach's alpha, 0.80) it was given to 215 experts from selected government organizations, who were selected by simple random sampling in the conditions of the epidemic of covid-19. became The data were analyzed using SPSS and AMOSE software using confirmatory factor analysis, one-sample t-test and Friedman test. The results showed that the indicators have a high average number of 3 and therefore, according to experts, they are important in the occurrence of administrative corruption. among the environmental factors, political and government system variable, among the organizational factors, management structure and among the individual factors, individual characteristics got the most points. Among the three-pronged model of factors affecting the occurrence of administrative corruption, Organizational factors were the most important factors in the occurrence of administrative corruption.