درخت حوزه‌های تخصصی

Providing credit facilities to clients can be regarded as one of the most important tasks of banks. As a result, the current research is carried out with the aim of developing a model of financial and non-financial factors that influence credit risk in the Maskan Bank. This study was divided into two sections: qualitative and quantitative. In the qualitative portion, the Delphi technique was used to identify financial and non-financial variables impacting credit risk in the Maskan Bank by interviewing 18 experts. In the quantitative section, the selected components of the questionnaire were initially created in a 5-point Likert scale. The questionnaire was then presented to 361 legal clients of Maskan Bank from the statistical sam-ple of the quantitative section. The quantitative component was completed using LISREL software and modeling the structural equations of SEM. Three primary components (financial, market, and management) and 33 sub-components were identified as financial and non-financial indicators impacting credit risk based on the results of the qualitative section. The quantitative findings also revealed that the indicators of guarantee status in the financial component, price level in the market component, and manpower motivation and productivity, as well as man-agement continuity and trade in the management component, had the largest factor loads.

In this research, using Analytic Hierarchy Process (AHP) and TOPSIS method (TOP) based on financial criteria, earnings per share, dividend per share, operating cash flow growth, earnings per share growth, beta (systematic) risk, volatility Operating profit, stock liquidity and price-to-earnings ratio selected according to the opinions of investment experts, formed a portfolio. Then, the criteria for evaluating the performance of risk-adjusted portfolios according to modern portfolio theory (Sharp, Trainer and Alpha Jensen) were calculated based on monthly stock prices during the 5-year period from 1393 to 1397 and com-pared with the criteria for evaluating portfolio performance according to Marko-witz model. The results showed that the selection of stock portfolio using the mentioned financial criteria and using the Analytic Hierarchy Process (AHP) model leads to the acquisition of adjusted returns with more risk than the Marko-witz optimization model and the TOPSIS model (TOP).

Investor expectations future economic processes are among the crucial factors affecting their decisions. The expectations seem to play a specific role since they are unsupervised variables capable of forming observable economic phenomena. Psychological factors influence investor expectations and corporate market value. Investor sentiments was modelled with an emphasis on psychological factors based on the Grounded Theory (GT). This applied and mixed-methods at its first and second stages. The statistical population comprised 13 experts, senior managers of investment companies, and university professors. The participants were selected through purposive and snowball sampling and the process was continued until theoretical saturation. The data were collected via semi-structured interviews coded via Atlas.ta.8 software. The research data were analysed using an open coding method. The results of the research were presented in 46 categories and 6 key dimensions.

In this paper, first, the stochastic differential equations are introduced as well as the definition and basic theories about Monte Carlo and quasi-Monte Carlo and Sobel and Halton sequences are expressed. Indeed, we introduce and use simulations under these methods to compare the efficiency of the solutions, which the results show that the approximation of the resulting Sobel sequence is much better than other stochastic methods. The comparison of the efficiency of random and quasi-random methods, the geometric Brownian movement and the price index of Tehran stock (equal weight and weight-value) is studied. The results show that the quasi-Monte Carlo method is better than other methods.

This study examines the relationship between stock liquidity and return predicta-bility of 116 publicly-traded firms in Tehran Stock Exchange (TSE). To this end, we constructed a dated-regular frequency of time series with total 40128 stock-firm observations. After calculating daily bid-ask spreads and stock returns, the observations were classified based on liquidity into three classes and the return predictability was investigated across different classes using a set of parametric tests. The results exhibit signs of return autocorrelation and non-independence over three liquidity groups. Our findings didn’t show a connection between stock liquidity and market efficiency. The Hurst exponent also revealed mean reversion of returns series across different liquidity classes. We conclude that stock liquidity doesn’t play a significant role in market efficiency and return predictability of stocks in TSE. In case of TSE as other emerging markets, due to the small num-ber of traders (the need for more trading activity) and low market making activi-ties, both the cost of trading increases and the reaction to stock price information is delayed, resulting in predictability of price /return.

Purpose: The spread of consumption in this day and age has gone so far that today it is considered an indicator of lifestyle and even some  find modern life without consumption meaningless and unthinkable. In this regard, since the consumption of smuggled cosmetics in West Azerbaijan province has an increasing trend, so in this study, the communicative and social determinants and factors affecting the consumption of smuggled cosmetics in West Azerbaijan province are investigated.Method: The research method is an applied type as regards purpose and has been carried out using a survey method.  The statistical population includes citizens over 15 in West Azerbaijan province, 674 of whom have been selected by multi-stage cluster sampling. Data was collected using a questionnaire and research variables are above 0.7, which indicates the acceptable reliability of the variables. Statistical data analysis was done using SPSS and Lisrel software.Findings: The findings showed that the consumption of smuggled cosmetics and toiletry products is more than average among the respondents and the use of domestic media is less than average and the use of foreign and virtual media is above average. The results of explanatory analyses in the quantitative phase of the research showed  the variables of gender (in favor of women), socio-economic status (in a positive direction), rate of using internal media (in a negative direction), rate of using external media (in a positive direction), The use of virtual media (in a positive direction), health literacy (in a negative direction) and tendency towards differentiation (in a positive direction) have a significant impact on the consumption of smuggled cosmetics and toiletries. It is explained that the impact of foreign and virtual media is greater than other variables.Conclusion: As a result of lack of content management and inaccuracy in advertising in the virtual sector and social media, the possibility of emergence and escalation of social issues and all kinds of deviant trends related to consumerism in the field of cosmetics and toiletry products increases. Also, domestic mass media can be effective in reducing the consumption of cosmetics by not broadcasting commercial advertisements at intervals.

Purpose: The purpose of this study is to design an organizational performance model based on the digital status of the organization in the Corona pandemic with a theme analysis approach in the Ministry of Industry, Mine, and Trade (MIMT).Method: This research was conducted with a qualitative approach. The research tool (data collection) was a semi-structured interview in which 27 elites and qualified specialists in MIMT (statistical population of this study) were selected using a purposive sampling approach to qualitative sampling.Finding: The results of data analysis in the qualitative section in the open coding stage identified 79 codes, which finally through axial coding achieved  3 categories (main category) and 21 indicators (subcategory).Conclusion: The main mission and goal of the managers of any organization is the effective and efficient use of various resources and facilities such as labor, capital, materials, energy, and information. Digital transformation, which has always been important as a fundamental and strategic action in organizations, has become more important in recent years following the outbreak of coronavirus; the pressures of the coronavirus epidemic have accelerated the efforts of organizations to create digital transformation

Purpose: Technology plays an essential role in any country to achieve sustainable development. Choosing appropriate and advanced technology is one of the strategic decisions of industrial managers. This research discusses the critical factors that should be considered in the process of choosing new technologies based on the competitive mechanism, and accordingly, designs and explains the technology selection model for equipping downstream petrochemical industrial units to create a competitive advantage.Method: The research method is an applied one and in terms of data type, it is a partly qualitative and quantitative research. In the quantitative phase, research data was collected based on the data obtained from the qualitative phase, and using the questionnaire tool. The research data was analyzed using thematic analysis and MaxQda software in the qualitative phase and they were also  analyzed using the TOPSIS technique and meta-heuristic algorithm in the quantitative phase for modeling.Findings: Thirty-four concepts and five categories were identified as technology selection criteria for equipping downstream petrochemical industrial units to create a competitive advantage. The "technical criteria" factor was identified as the foremost priority in equipping downstream petrochemical industrial units to create a competitive advantage. The ranking of the determined categories from one to five were the factors of competitive criteria, strategic criteria, internal criteria, and external criteria, respectively.Conclusion: Finally, using the TOPSIS fuzzy technique, the model of equipping industrial units was presented to help decision-makers and policy makers of downstream petrochemical industries.

The current research mainly aims to investigate the effective factors in creating a food tourism brand in Shiraz. The statistical population includes all experts in the field of tourism and hotel management, food, cooking, and restaurant industry, and tourists, who were selected using the purposeful sampling method. First, 13 factors were identified according to research literature. The identified factors were given to 10 selected experts who were aware of the desired criteria. Then, the relationships between these factors were determined using the fuzzy Dematel method, and the answer to the second question was also determined. The results showed that the factor of investment in the field of food tourism, and using new advertising tools in this field are the most important thing in creating a food tourism brand in Shiraz. The parameters of food quality and food authenticity are the most effective in this area. In addition, creating a good feeling towards the brand and advertising, in this field are among the most effective parameters, respectively. Food tourism branding issue is the most important issues that should be considered in Shiraz. In this regard, it is possible to identify the foods of Shiraz as intangible cultural heritage, bring them to the national register, prepare their files for global registration in UNESCO, and conduct cultural and political consultations so that the files should be presented at the international level.