درخت حوزه‌های تخصصی

In the current situation, one of the concerns in the fight against smuggling of goods and currency is the improvement of the inter-organizational network. The purpose of this research is to design and implement organizational architecture to improve the management of organizational networks with SWOT approach, in this area using the artificial neural network toolbox and fuzzy logic in Matlab. This research is applied-modeling in terms of purpose. The statistical population includes expert professors and experts of organizations in charge of combating smuggling of goods and currency. After distributing 100 questionnaires, the sample size of this study is equal to 96 experts who were selected by a combination of two methods of non-probabilistic purposive sampling and snowball sampling. The results show that using the intelligent system, the status of "success of the organization's network management" can be examined numerically and more accurately: In terms of ideal importance, if; The "Network Management Based on EA Application Layer" status is good, ie exactly 0.813, and "Network management based on EA data source layer" is good, ie exactly 0.824, and "Network Management Based on EA Central Component Layer" is good, ie exactly 0.819, and "Network Management Based on EA Data Preparation Layer" is good, ie exactly 0.812, and "Network management based on EA service quality layer" in good condition, ie exactly 0.815;Then; The status of "successful implementation of the organization's network management" is at the top level (fifth level), ie exactly 0.952.According to the membership functions of language variables by experts, the value of 4.76 within the 5-value range in the range defined for the "excellent" language variable, ie the success status of the organization's network management, has been calculated exactly 0.952.

Today, one of the most important concerns of organizations is to face changing environments in valuing their products. Therefore, manufacturers show different behaviors in the face of uncertainty about the future price of their products. Therefore, in the present study, the researcher, using the data theorizing method of the Foundation, seeks to provide a strategic pricing model for industrial products with the FABC approach. Based on theoretical sampling and snowball sampling method, after collecting data through in-depth and semi-structured interviews with 16 university experts and steel industry experts, the text of the interviews was initially coded and extracted. Concepts of designing and explaining the strategic pricing model of products in industrial tools were analyzed by research data and categories. Findings show that considering the causal, contextual and intervening factors affecting the pricing of industrial products with a fuzzy activity based costing approach, the adoption of proposed strategies in the resulting model leads to increased productivity and power Competitive manufacturing companies.