Explaining the effective factors on the pattern of organizational learning in monitoring foreign trade with the approach of economic-social development (Case Study:Customs)
Article Type:
Case Study (دارای رتبه معتبر)

Customs, as one of the important organizations in the cycle trade of goods, is responsible forcontrolling and monitoring the entry and exit of goods. With the ever-increasing volume of trade, it is inevitableto carry out controls with maximum accuracy and speed, while facilitating and making socio-economicdevelopment more productive. The purpose of the research is to identify the effective factors on theorganizational learning model in the supervision of foreign trade in the Customs with the improvement offacilities and security indicators. The research is of qualitative type and Grounded Theory method was used fordata analysis. The data collected by in-depth interviews that were conducted with 14 Customs experts and otherrelated organizations using the snowball sampling method. Then, the data analyzed through open, axial andselective coding. Finally, the paradigm model of organizational learning in monitoring foreign trade consistingof causal conditions, background conditions, intervening factors, central phenomenon, strategies andconsequences was drawn. The main phenomenon of the designed model is the organizational learning process.The findings of the research showed that the causal factors include the integration of foreign trade information,national and transnational cooperation, training and empowerment of employees and culture building.Intervening factors include political conditions, integration of laws, environmental factors and managementintegration. Background factors include business unit window and risk management and strategies includeinformation-based monitoring, process re-engineering and intelligentization. The consequences of theorganizational learning system include economic, social and educational achievements that are in line withsocio-economic development.

Iranian Social Development Studies, Volume:15 Issue: 3, 2023
23 to 31
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