زاداله فتحی

In this research, a new model for explaining the relationship between corporate governance and ownership structure with innovation is presented. This research, by deleting individual variables and adding new variables and determining the importance of the Delphi group, is located and They were selected for use in the model after two steps. The research was correlational and the statistical population of the study included companies listed in Tehran Stock Exchange, and the sample was screened and after the removal of Pert observations by 104 Tehran Stock Exchange companies during the period of 2011-2018. In this study, the variables of corporate governance and ownership structure are considered as independent variables. And using qualitative and quantitative combination data, multivariate regression and software spss version 20 and Eviese 7 their relationship with company innovation as dependent variable has been investigated. The results show that among the variables of corporate governance and ownership structure, ownership concentration, state ownership, and institutional ownership reduce innovation. However, the variables of the proportion of non-executive members and remuneration of the board improve the status of innovation in bourse companies. According to this model, other corporate governance variables did not have a significant effect on innovation.

This study aims to investigate the impact of the COVID-19 pandemic on stock market volatility, with a specific focus on the role of economic policies. The primary objective is to identify and analyze how the stock market responds to the COVID-19 crisis and the influence of economic policies on these responses. 

To achieve the research objectives, the Smooth Transition Regression (STR) model was used to analyze stock market data from 1991 to 2022. Initially, stock market volatility was calculated using the ARCH and GARCH models. Then, the impact of COVID-19 and other economic variables on stock market volatility was assessed using the smooth threshold model.

The findings of this study indicate that the COVID-19 crisis has had a positive and significant impact on stock market volatility. Additionally, changes in economic policies during the pandemic have led to increased market volatility. The study also revealed that during the COVID-19 period, stock market volatility was highly influenced by macroeconomic variables such as interest rates and industrial production indices. 

The study concludes that the COVID-19 crisis significantly increased stock market volatility, largely due to economic uncertainties and investors' psychological behaviors. The findings provide valuable insights for policymakers and market participants in better managing market volatility during similar economic and health crises.

 This article aims to present and estimate a human development model in Iran, with an emphasis on green finance and the FinTech index. Green finance is recognized as a key strategy in ensuring economic and environmental sustainability, while FinTech can facilitate access to financial resources and improve human development indicators. The primary objective of this study is to examine the impact of these two factors on human development in the period from 1996 to 2022.

 This study is applied and descriptive-analytical, utilizing statistical methods and modeling for data analysis. To measure the green finance index, five economic and environmental variables were employed. The Principal Component Analysis (PCA) method was used to extract the green finance index. Subsequently, the Markov regime-switching approach was applied to estimate the model and analyze the impact of green finance and FinTech on human development.

 The results from the Markov model estimation indicate that both green finance and FinTech have a positive and significant impact on human development. During periods of economic growth, employment, education, and capital also contribute to enhancing human development. The coefficients of green finance and FinTech remained positive in both recession and growth regimes, demonstrating their consistent influence on human development across varying economic conditions.

 This study concludes that green finance and FinTech can effectively promote human development in Iran. Utilizing green financial tools and modern financial technologies, especially during economic downturns, plays a crucial role in improving human development indicators and fostering sustainable economic growth.

This research is a sequential mixed study in the sense that qualitative data from the literature review is first collected through in-depth interviews and then analyzed. After collecting the data and identifying them, the coding stage was done using the Swara method using the opinion of experts. The data was collected according to the reliable information and data of large companies accepted in the stock exchange and the Kodal system, and the reports and financial statements of the aforementioned machinery and equipment industry companies were used. The examined experts are all managers and experts of machinery and equipment industry companies and university professors, who are somehow considered experts in the concepts of the current research.In general, the main goal of this research is provide a model of the financing supply chain that can identify the optimized indicators influencing the financial supply chain in order to improve its performance and introduce the degree of influence of each one.This research creates a model of the financing chain that studies the management and control of risk and obstacles and bottlenecks, as well as the effects of the financing decision, and the relationship between the management of the financing chain and finally shows what Factors can improve and upgrade the production cycle and affect the performance of the company.

The importance of recognizing cultural factors is as much a mystery of competition today as it is a precursor to globalization. Therefore, in a global system, one must understand the differences between cultures and make decisions according to that culture. The relationship between cultural factors (individualism and collectivism, feminism and masculinity, power gap and uncertainty) is examined and analyzed using existing research and studies. In this research, after collecting completed cultural questionnaires, they attempted to cluster using self-organized network algorithm clustered cultural scoring maps first (1) using Hofstede cultural dimension questionnaires. Includes: masculinity versus feminism; 1) individualism vs. collectivism; avoiding uncertainty; and trained power distance and then (2) four types of decision making including: decision making style Guiding Analytical decision making style; Perceptual decision making style; and ) Behavioral decision making style are associated with the map. In other words, we first clustered all types of stock investor cultures, and then four decision styles with clusters of effects were examined. In this way, we were able to freely examine our organizing network to identify different shapes or combinations of effectiveness, and then examine internal control structures individually, thus creating a culture of a certain level of We base the decision, we identified. The empirical evidence from this study suggests that decision styles have different relationships with the four cultural dimensions. When examining cluster details, the relationship between components and effectiveness becomes more complex.

Today, markets, especially the coin market, are one of the most important sectors of the economy. What we are seeing today is that a conventional economy cannot respond to immediate market decisions, we have to accept that our economy is traditional; We can not manage the market based on traditional theories, the attitudes of people and the environment and cultural influences affect the market, markets are always a reflection of our performance, they show the impact of our performance. The main purpose of this study is to investigate the factors affecting coin market fluctuations and their ranking in Iran during the years 94 to 97.The present research is correlational in terms of applied purpose and descriptive research method. The statistical population studied in this study is the Iranian coin market (gold price) during the years 1394 to 1397. The results show that changes in gold prices have a positive and significant effect on exchange rate changes at the level of 5%.

In recent decades, social capital has emerged as one of the most important management topics among thinkers in various branches of social sciences and humanities. The purpose of this study is to manage and study the role of social and civil capital on the formation of social and labor capital to create a dynamic and active business in the country. This research was applied in terms of purpose and in a descriptive method, the information of the study population was collected and analyzed using a questionnaire whose validity and reliability were confirmed. The statistical population of this study was the contractors of Khatam al-Anbiya (438 people), which according to Morgan table, at least a sample of 190 people was determined, but according to the predictions made about unacceptable questionnaires, A total of 230 questionnaires were distributed, of which 217 questionnaires were returned as acceptable. In this study, the sample was selected and tested by available sampling method and the results of testing the hypotheses of this study using structural equations and LISREL software, indicated that civil social capital has a significant role in the formation. Social capital employs manpower.