financial

The purpose of this research is to present a model of portfolio management in investment funds based on behavioral financial variables. The method of this research was applied and descriptive-survey according to its purpose. The participants in this research included experts who had a doctorate degree in financial management or accounting and university professors. The method of data collection was made by a researcher's questionnaire and analyzed using structural and interpretive modeling. The results showed that in the first level, the most effective components included: control of the fear of surviving profit, normalization of conservative behaviors and control of regret-avoidance behaviors. In the second level, the components influencing the first level, i.e. paying attention to self-control behaviors, having a written investment strategy, paying attention to the principles of mental accounting, and in the third level, the components influencing the second level, which include behavioral optimism and pessimism, Paying attention to risk-averse and risk-taking behaviors and controlling mass behaviors is the most effective component at the fourth level, which includes the effect of inclination. In the Mik Mak model, most of the variables were included in the link variables, which have a strong influence and also a strong dependence force.

The aim of this study is to understand the nature and factors that shape the land of opportunities in small and medium enterprises.

The method used in the research is a mixed-method and a combination of quantitative and qualitative methods. The qualitative part is done using "Grounded theory" and the quantitative part is done using "structural equation modeling". Necessary data were collected through interviews with academic experts, managers, and consultants of small and medium industries in city rasht. The tool for collecting information in the qualitative section is semi-structured interviews. The text analysis of the interviews was performed in three stages of open, axial, and selective coding. And In a quantitative part, Using a researcher-made questionnaire, Its validity and reliability were examined.

Using the codes extracted from the text of the interviews and extracting the codes using the software maxqda 18; Number 353 open coding 28 axial coding, and finally 9 selective coding were extracted. Among these, the dimensions of the land of talent, the land of the market, the land of professional management, the land of finance and investment (central phenomenon), the land of innovation, the land of professional policymaking, the land of democracy, the land of social development and the land of expectations were identified as causal conditions.

According to the research findings in the qualitative section (extracted codes), by confirming the relationship between dimensions and the variables "land of opportunities" and "structural equation model" which was

The spread of the Covid-19 pandemic and the disruption of the global supply chain, the increase in the global prices of inputs and basic goods, the war between Russia and Ukraine, the continuation of international sanctions and climate crises caused by water tensions and drought have arisen concerns regarding the supply of food and agricultural products in Iran and all over the world. In this situation, the lack of intelligent management of all stages of the product supply chain can have adverse consequences. In this regard, the purpose of this applied research was to identify the enabling factors of the activists throughout the supply chain of agricultural products and its consequences. So, in addition to library studies, an in-depth interview was conducted with 33 experts from the public and private sectors who were selected by theoretical and non-probability sampling method. In order to analyze the data, the qualitative method of database and coding was used. Based on the findings of the research, 495 open codes, 19 axial codes and 3 selective codes include the empowering factors of the activists of the input supply and agricultural products sector, the empowering factors of the activists of the processing and industry sector; empowering factors of logistics, distribution and supply, marketing and sale sector activists, as well as 31 different codes, 15 axial codes and 2 selective codes

After-sales service can play an important role in customer satisfaction and maintaining it customers are loyal to a brand after sell to a brand make a constructive connection to it.Thus improving the quality and enhancing the performance of a business. Successful organizations are those that have the ability to consciously use customer information and provide better after-sales service. Therefore, in this research, the credit risk management model in Saipa Yadak dealer network has been designed using financial and non-financial components of after-sales serviceThe results showed that using financial and non-financial components including, service cost, performance of after-sales service agencies, good accounting of agents, the amount of collateral of agents, the quality of services of the network of agencies, the speed of services of the network of agencies Agencies, network age (or age) of agencies, and regional location of the network of after-sales service providers affect optimal credit risk management. Also, firefly algorithm and bee colony algorithm have the ability to predict the optimal management of credit risk using financial components.

Today, new banking financial technology is very important in the world due to the widespread use of the Internet and information technology. The present study was conducted with the aim of presenting a model for accepting new financial and banking technologies. This study was performed in two parts: qualitative and quantitative. In the qualitative section, 15 experts were selected by judgmental sampling and saturation level as a statistical sample and interview. The interviews were analyzed by content analysis method and the categories of the model of acceptance of new financial and banking technologies were identified. Thus, 77 sub-categories, 16 main categories and 10 final documents were obtained from qualitative section analysis. In the quantitative part, a questionnaire of the identified categories was designed and given to 384 customers of banks and financial institutions selected by the Cochran's formula. The categories identified by Shannon entropy method were weighted and prioritized to identify the most important categories for the adoption of new financial and banking technologies. The results showed that the indicators of organizational strategies with a weight of 0.0231, creating speed in accepting innovation with a weight of 0.0222 and investment and challenges with a weight of 0.0222 are the most important among the other identified indicators.

Today, the government is trying to create financial and administrative independence in organizations and social funds in order to reduce its direct obligations (Article 29 of the Constitution) and increase the efficiency of organizations. In this research, using research backgrounds and interviews with experts, we examine the nature and form of various factors resulting from the "(influence) of macro policies on the financial and administrative independence of the social security system" as well as the factors influencing the executive, legislative, and mechanism. Legislation and of course Social Security Organization focuses on the research topic, based on which the challenges and factors affecting the topic are first identified by studying and interviewing Social Security experts and related groups and then the extent and manner of the relationship between the various factors and their effectiveness. The organization was also judged by experts and properties, ultimately indicators And sub-areas related to the challenges of financial and administrative independence of the Social Security Organization were leveled by the ISM method (Table 3). The analysis of macroeconomic factors identifies how they influence the political and managerial levels and layers of the country as the most influential (direct) factors. In the following, we briefly review the factors arising from the legislative and executive branch and are identified as intermediate (effective and effective) factors, and finally, the Social Security Organization is considered as the most influential layer.Keywords: General System Policies, Financial and Administrative Independence, Social Security Organization, Social Security System,

The financial laws and regulations required by the society are the result of the experiences and hours of effort that have been prepared by experts and members of parliament and have been provided to managers and users for use. Ensures that familiarity with financial laws and regulations provides the basis for informed and purposeful management practices. This research is applied in terms of purpose and descriptive-survey studies and is quantitative in terms of data collection. The statistical population of this research is the commanders and administrators of Amin University of Law Enforcement Sciences who are authorized by the financial order and there are a total of 26 people.Considering that both the internal alpha of the individual questions and the overall alpha of the questionnaire are more than 0.7, the reliability of the questionnaires was evaluated as desirable. The findings of the present study showed that the familiarity of commanders and managers has a significant effect on the speed of absorption, performance accuracy and accuracy of financial budget performance. According to the studies and identification of influencing factors, it is recommended to take the following measures: 1) the need to expand, develop and strengthen measures effective in improving financial performance by taking into account the set priorities; 2) Focus on the strengths and weaknesses of each component of improving financial performance; 3) Correct and realistic study and understanding of the challenges and problems in line with each of the components of improving financial performance.

Public-private partnership policy is what public organizations have taken to carry out their development projects in recent years. The purpose of the present study is to identify the effectiveness of public-private partnership policy implementation in the Iranian public sector. The statistical population of this study included those organizations of the public sector which have all adopted public-private partnership policy. Using systematic random sampling method, 126 organizations were selected through Morgan’s table. To collect data, researcher-made questionnaires were distributed among the subjects. Based on such factors as economic efficiency, financial justice, redistributive justice, compatibility with public ethics, adaptability and accountability, results show that the effectiveness of public-private partnership policy implementation is significant. Public-private partnership project holders can improve the context for developing and implementing public-private partnership projects by emphasizing and applying the suggested solutions of this research.

Entrepreneurship, as the most important weapon of economic development, has an important role in economic development and raising the level of capability of the country. The purpose of this study is to provide a model and strategy of effective factors in managing the development of women entrepreneurship in Iran. Because the main problem of underdeveloped countries in today's world is not the lack of financial and human capital Women in entrepreneurship should be considered as almost half of the effective human resources of the society.

In the present study, using the meta-combination technique, the findings of related internal and external studies were systematically examined by the seven-step method of Sandolowski and Barso. Out of 120 articles searched in this field, 70 selected articles based on which 22 factors affecting the management of women's entrepreneurial development were identified and extracted. Research

The present study was conducted with the aim of providing an effective model for explaining the factors affecting the management of women entrepreneurship development in Iran‌‌. Research Methods. This research is applied in terms of purpose and descriptive in terms of data collection and survey group. Data analysis was performed qualitatively using content analysis and Delphi and MaxQuoda software and quantitatively by structural equation modeling measured using correlation and covariance, Demetel. The statistical population of the present study consists of 30 experts and professors in the qualitative section and in the quantitative section of senior human resources in the study area of ​​Tehran Municipality and its affiliated organizations, which is equal to 196 people. 

The research findings showed that the main factors of personal/personality dimension, economic/financial, cultural/social‌‌, ‌‌‌ political/administrative and 22 sub-concepts affect the development of women entrepreneurship ‌‌‌

‌‌‌Based on the results of research‌‌, ‌‌‌Individual characteristics can be considered as one of the most effective factors in the process of managing the development of women's entrepreneurship in Iran. It is suggested by compiling, implementing and supervising scientific programs for entrepreneurship development (up-to-date and effective) in any geographical location and living standard of the target community in Iran;  By raising the level of knowledge, attitude, motivation and entrepreneurial leadership of women with effective and efficient government support, the individual / personality factor can be considered as the most powerful factor in managing the development of women entrepreneurship in Iran.

In this research, an algorithm for evaluating and ranking the branches of a financial and credit institution is presented that can evaluate the performance in a period of time and manage the jump or stagnation of cross-sectional performance of branches. In the algorithm, the possibility of separating the criteria into two efficient and effective groups in accordance with the organization's strategy is located, this can facilitate the decision of experts to select effective and weighty indicators to them.

The performance of branches in various time periods is expressed as a fuzzy number. The structure of the fuzzy TOPSIS method is used in the algorithm. A new step of grouping the criteria to calculate the value of the criteria related to the fuzzy TOPSIS technique has been added and the calculation formula has been described. Mechanism The reason for the superiority of the branches in terms of the whole to the part is expressed using the similarity matrix.

Using the proposed algorithm, 51 branches of Keshavarzi Bank in Sistan and Baluchestan province are ranked. The reason for scoring the top three branches, middle and bottom of the ranking table based on the similarity matrix is discussed.

Originality/Value:

1- Generating a decision matrix with fuzzy numbers based on the performance of multiple sections 2- Providing a structure for the possibility of separating indicators into two categories: efficient and effective 3- Formulating and weighing sub-indicators in proportion to the degree of dependence on the index head.

 Recent earthquakes in Tehran showed that the fear arising from that, immediately caused traffic jam which the most important consequence is delay in relief. The purpose of the present study is to prioritize and identify strategies to improve Tehran's transport management for post-earthquake crisis situations.

 This is an applied study which has done through descriptive method. Statistical population of this study are experts in traffic, transportation and crisis management; experts in 1-Traffic Police of NAJA, 2- Deputy of Traffic and Transportation of Tehran Municipality, 3- Traffic and Transportation of Tehran Municipality, 4- Traffic and Transportation Committee(Preparedness Deputy), 5-Tehran Disaster Mitigation and Management Organization and numerous subsidiary agencies. The 80 individuals have been selected as statistical samples to fill the questionnaires through Cochran formula, then the collected data analyzed.

 SPSS software was used for data analysis. The results of data analysis confirmed all the research hypotheses; the effective elements on urban traffic resolution are management styles (0.72 coefficients), financial and physical resources (0.69 coefficients), human behavior (0.51 coefficients) and and trained forces (0.51 coefficient). The results show as well management styles play the significant role in solving urban traffic after earthquake.

 The results show that choosing experienced managers, training communicative, psychological and decision-making skills as well as the allocation of appropriate financial resources to prepare the infrastructure and standard equipment to confront with the crisis can be largely reduced traffic crisis caused by the earthquake.