A proactive technological model in dealing with air smuggling of narcotics from the borders Case study: Drug trafficking using drones

Currently, the methods of drug trafficking in the world are changing from traditional methods to new methods. The present research was conducted to present a technological predictive model with foresight in dealing with the air smuggling of narcotics from the borders. This study was prepared in terms of practical purpose, terms of mixed method, and terms of collecting statistics and information in the field and through interviews and questionnaire tools. The participants in the qualitative part of the research included 17 experts and managers of strategic levels who were experts in the subject, and who were selected using the snowball sampling method. The statistical community of the quantitative part was also experts in the fight against narcotics and flight science experts, and there were 90 people, and 73 of them were selected as members of the statistical sample using the Morgan table and the purposeful sampling method. The data collection tool in the qualitative part was a semi-structured interview with a reliability coefficient of 0.91, and in the quantitative part, a researcher-made questionnaire with a reliability coefficient of 0.84. In this research, MAXQDA software was used to analyze the qualitative data and SPSS software was used to analyze the data from the quantitative questionnaire. The findings led to the identification of 80 basic themes, 17 constructive themes, and 4 inclusive themes to formulate and design a technological predictive model to deal with possible drug smuggling in the future through the borders. The results of the quantitative part of the research also indicated that the themes identified can play a significant role in combating the air smuggling of narcotics from the borders in the future and can be considered suitable predictors for providing a technological predictive model.