مطالب

The aim of this paper is to develop the model of international networking. Based on purpose, this is a basic research. This study used a systematic review method to gather data for identifying, collecting and analyzing the different dimensions and components and the propositions related to international networking. The statistical population is all the research in the area of international networking, which covered by the Scopus database in the period of "open start date (not specified the start date) until the end of January 2021". The search date in this database is January 30, 2021. This research used keywords related to international networking terms in the "Title" and in the subject area of ​​"Business, Management, and Accounting" and document type, limited to "Article" to identify the research on international networking. This search yielded 112 articles. In the following step, after reviewing the abstract of the above-mentioned articles and, applying other indicators, 47 articles remained. This research coded the components and dimensions of international networking in these articles, and classified them into three categories of antecedents, processes and consequences, and, finally, identified the gaps of the previous research on the concept of international networking as well as provided research suggestions for future researchers.

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.

Evaluation of stock portfolio performance is considered one of the important issues in the capital market and investment management in stocks. Proper evaluation of portfolio performance requires recognizing the factors affecting it. The macroeconomic variables are important and effective factors due to affecting the systematic risk of companies. In this research, ordinary least squares method (OLS) was used to evaluate the effect of macroeconomic variables including inflation, interest rate, liquidity growth rate, oil price and currency rate (Rial versus Dollar) on the stock portfolio performance based on traditional and modern network theory. Performance of portfolios including growth portfolio, growth-value portfolio, and value portfolio, and offensive portfolio, indifferent and defensive portfolio was measured based on seasonal data from 2006 to 2016 using the Teriner Index. The research results show that at the error level of 5%, macroeconomic variables have an impact on the performance of both traditional and modern networks. However, the Akaike information criterion for the modern network model is equal to 5.822, which is less than the traditional network value with the value of 6.724. This suggests that the interpretation of macroeconomic variables in a modern network portfolio is better than that of traditional one. In addition, the effect of macro variables on the performance of the six portfolios will be different

This study, attempts to estimate and compare four different models of jump-diffusion class combined with stochastic volatility that are based on stochastic differential equations, and their parameters latent variables are estimated by Markov chain Monte Carlo (MCMC) methods. In the Stochastic Volatility with Correlated Jumps (SVCJ) model, volatilities are scholastic, and the term jump is added to both scholastic prices and volatilities. The results of this study showed that this model is more efficient than the others are, as it provides a significantly better fit to the data, and therefore, corrects the shortcomings of the previous models and that it is closer to the actual market prices. Therefore, our estimating model under the Monte Carlo simulation allows an analysis on oil prices during certain times in the periods of tension and shock in the oil market