Behavioral modeling of human error reduction in the country's air transport industry

The present study was conducted with the aim of behavioral modeling to reduce human error in the country's air transportation industry. This study, in terms of the purpose of an applied-developmental research, from the point of view of the method and time frame of data collection, is a cross-sectional survey research that was conducted with a mixed approach. The community of participants of the qualitative part includes the managers of the country's air transportation industry, 11 of whom were selected in a targeted manner until reaching theoretical saturation. The statistical population is a small part of the experts and activists of the country's air transportation industry, and the sample size was estimated by Cochran's formula of 366. Quantitative sampling was done by cluster-random method. The data collection tool was a semi-structured interview and researcher-made questionnaire, which was validated by construct validity, convergent validity and divergent validity methods. Using Cronbach's alpha and composite reliability, the reliability of the questionnaire was also checked. The value of convergent validity for all constructs was above 0.5 and Cronbach's alpha and combined reliability were estimated to be above 0.7 for all constructs, so validity and reliability were evaluated as favorable.-..