Due to the importance and position of the automobile industry in Iran, the main purpose of this research is to design an economic model of purchasing domestically produced goods with an emphasis on customer motivational categories. The present study was a qualitative study with 33 market experts, university professors and clients selected based on snowball sampling and based on open, axial and selective coding in 9 main categories. The validity of the data triangulation method and the peer review and reliability of the two transition codes have been investigated and the results indicate that causal conditions such as (looking at the external car as a social status) influence the motivation of buying domestic cars and strategies. Important for motivating customers to buy domestic cars (informing and influencing advertising on their customers' minds) and intervening conditions (international sanctions) affect these strategies and have consequences (development and economic growth).

This study followed the design of a model to predict the financial behavior of investors in the Iranian stock market. To identify the criteria, the content analysis of scientific texts related to the research topic was used and 24 criteria were identified. Self-interactive matrix and expert opinion was based on interpretive structural modeling method and a five-level model was obtained. To determine the type of variables, MICMAC analysis was used. In the five-level model of this study, the variables of informal news and herd behavior were the most influential in the fifth level and believable, personal judgment and decision making error were the most influential variables of the model that were ranked one. The McMask analysis also indicated that informal news variables with low dependence and high conductivity, foregrounding, decision error, believable and personal judgment were also dependent, with strong dependence and low conductivity, and other variables were interface type. Given the level at which the criteria are met and how effective they are at the end, conclusions and suggestions were also provided.

Business model innovation is a novel field of research in the literature of organizational entrepreneurship and strategic business renewal that allows acquiring of new competitive benefits by aligning the basic elements of organizations with environmental changes. However, the behaviors of business model renewal and research in this area, particularly in Iran are scarce, and sporadic. This research that is conducted by scientometric method and using citation analysis, evaluative technique and documents content analysis aims to sum up the studies on business model innovation and in addition to present an image of existing researches, identify research gaps and provide suggestion for future studies. Accordingly, the statistical population includes all documents provided in Scopus database with 834 data which was assessed and illustrated using bibexcle and Vosviewer software. Moreover, innovation in business models can led to improve the financial performance of businesses. Studying business innovation can be a reflection of potential for cash – in flow (firm income) of the business in progress. Therefore, in this paper, the classification of the research on the impact of innovation performance on financial performance in different industries is discussed. In the following, the business model innovation studies is classified based on documents content analysis and is presented a general framework of existing knowledge and research gaps of this domain that can provide valuable insights for managers and researchers to enhance the business model innovation researches and behaviors to improve the financial performance of business in Iran.

The increasing spread of financial crimes and the irreparable economic, and even social and cultural damage they cause, clearly illuminates the necessity of research and analysis in this area and to investigate the causes of such crimes. Therefore, the main issue in this research is the spread of financial crime and its concerns in Iranian society. The researcher seeks to understand financial crime economically and not from a sociological or criminological perspective. Therefore, the overall purpose of the present study is to design and test a model to explain and predict the causes of financial crime to prevent financial deviations. In this regard, a hybrid research approach was used which used the qualitative stage of the theory of grounded theory or the grounded theory and in the quantitative stage the descriptive-survey method. The qualitative findings were analyzed by MAXQDA software and at the end of the qualitative phase the conceptual model of financial crime was extracted. In the quantitative phase, the model was validated using partial least squares structural equation modeling with PLS software. Model fit indices indicate that the data fits well with the conceptual model. In other words, quantitative data fits well with the conceptual model of research and confirms the qualitative data.

The purpose of this study is to investigate the effect of energy carriers price adjustment on economy with emphasis on welfare index and study the effect of it on urban household investment share. For this purpose, by using the information of the Iranian urban household budget during the period from 1988 to 2017, based on the theories related to the measurement of consumer welfare changes, the formula of compensatory changes in the framework of an almost ideal demand system is derived. Then, after estimating the demand system parameters, the welfare index criterion is calculated separately for each energy carriers. In the next step, the effect of adjusting the price of energy carriers on the share of investment in household budget is estimated by threshold regression model. The results show that by increasing the actual price of each energy carrier relative to the total energy expenditure, the share of its energy carrier expenditure will be increased. Among the self-price coefficients, electricity has the largest coefficient and the lowest coefficient is belong to the petroleum products. Self-price elasticities of electricity, gas, gasoline and petroleum products is -0.33, -0.59, 0.92, and -1.14, respectively. Price adjustments of energy carriers are causing welfare losses for urban households, depending on their price elasticity and the share of energy carriers. By assesing the linear and non-linear relationship between energy carrier price index and household investment share, the results confirm a positive and nonlinear relationship between investment share and energy carrier price index.

Economic uncertainty and foreign investment have always been the focus of researchers, policymakers and investors, but what has been overlooked is the measurement of economic uncertainty with a focus on foreign investment. Therefor the purpose of this study is to design an investment conditions uncertainty index by identifying the economic factors affecting FDI inflows in the largest owners of gas reserves including. For this purpose, first the economic variables affecting foreign direct investment are modeled and identified using annual data from 1997 to 2017 of Russia, Iran and Qatar and the Feasible Generalized Least Squares method in the data panel. According to the results, GDP growth, inflation, real interest rate, stock market capitalization and trade openness have significant effect on foreign direct investment. After identifying influential variables, using monthly and seasonal data for the maximum available time period, after estimating the types of GARCH models and determining the optimal model for each variable, the optimal criterion of their fluctuations is calculated. Finally, using the obtained criteria and weighting based on the results of the panel model, Investment conditions uncertainty index for each country is constructed. According to the results, Trend of mentioned index clearly shows the fluctuations due to economic changes in different countries and its compliance with macroeconomic, monetary and fiscal policies adopted by governments, so that, it can be a useful guide for our country's policymakers, It also provides an appropriate scale for assessing the uncertainty of countries by policymakers, investors and researchers at macro and micro level.

Credit risk assessment is one of the most challenging issues in financial analysis especially in the banking sector. One of the ways to reduce this risk is to design a credit rating system for facility recipients. Accreditation is a method of assessing a loan applicant's credit risk that uses past data and statistical techniques to investigate the impact of different features of a loan applicant on the likelihood of default or default on the loan. This research on credit risk management methods using Logistic Regression and Validation methods and real customer ratings of Saderat Bank Supervision Center is performed and characteristics such as age, gender, amount and collateral of facilities are considered as independent variables. This study examines the relationship between the results of this model and the credit status of selected customers. The results show that the variables of age and education have an impact on the status and credit rating of the customers, while the other variables mentioned have a significant relationship with the credit status of the customer.

Technological changes lead to new challenges and opportunities in various industries. The inability of organizations to adapt their business models to these changes may lead them to leave the market. The banking industry is no exception, and regulatory financial technologies are one of the most important technological trends in recent years. Concerning the widespread impact of these technologies on the banking industry, investment in regulatory financial technologies has a great importance. Therefore, identifying and investigating factors affecting investment in new product development in the field of financial technology with a supervisory approach is necessary. in order to implement the results of new research and to help solve such problems. The purpose of this research is applied and is a descriptive-survey method. Factors Influencing New Product Development Investment in Regulatory Financial Technologies Extracted from Literature Review and Opinion of Banking Industry Experts in Tejarat Bank and the approved questionnaire is distributed in the community of experts and the results are analyzed by confirmatory factor analysis and structural equations using Smart-PLS3 software. In this study, 4 main factors were identified and confirmed with 29 factors all of which are important. All key identified factors have a significant impact on investment in development of new financial technology products with a regulatory approach.

Studying the spillover between markets is an important and controversial topic in the financial field. The purpose of this study was to investigate the spillover between OPEC oil prices and the stock market of Iran and GCC countries considering trade cycles and structural failure. The data were collected monthly through the OPEC official web site and the archives of each of the countries listed on the stock exchange index from the beginning of 2012 until the end of the first half of 2018, using bivariate GARCH-BEKK, correlation models and Granger Causality test. The results show that the spillover of OPEC oil price volatility without affecting structural breakdown affects the stock markets of the target countries. But when it comes to structural failure, the results will be different. The results of Granger Causality test also show that there is no causal link between OPEC oil price and Tehran Stock Exchange index, but in some of GCC countries such as Saudi Arabia and Bahrain, oil prices at different intervals is due to changes in the stock market index.

Through the grid matrix model, stock of companies can be classified according to different characteristics in a matrix then formed portfolios. In this research, using the data of 156 companies listed in Tehran Stock Exchange during the period of 2011-2017 and through the grid matrix model based on throughput accounting’ criteria as the proposed model, the formed portfolios and their performance with the traditional grid matrix model and market portfolio were compared. The results of the research show that the proposed model portfolios have a higher performance than the traditional grid matrix model based on Sharp, Sortino, upside potential and Omega criteria, and the portfolios of companies with high system performance, in addition to the above criteria, also had higher performance than traditional grid matrix model based Jensen's criteria. Also, the performance of these portfolios in terms of upside potential and omega criteria is higher than market portfolio, and the performance of companies with low system performance has a stronger correlation with market portfolios

The accumulation of bad news by management is a key factor in stock price crash risks. In addition, the ability to hide bad news by executives is restricted by the fact that if the amount of hiding exceeds this limit, then these bad news spillover and can lead to a stock price crash. The aim of current research was to survey the impact of financial constraints on fluctuate down to up of stock returns by emphasizing the moderator role of credit rating accepted companies in Tehran Stock Exchange. To implement such a research, 140 companies were selected during the period 2012 to 2017, and a combined data approach was used to test the research hypotheses. The results of the research indicate that the financial stock constraints have a positive and significant impact on fluctuate down to up of stock returns. Also, the results indicated that credit rating had significant impacts on the relationship of financial constraints with fluctuate down to up of stock returns. In other words, in companies with lower credit ratings, the relationship between financial constraints and stock price crash risk is more severe. In addition, the results of the sensitivity analysis (GMM method), has confirmed the results of the research. Finally, the findings indicate that the results have consistency with the representation theory.

In the present study, the relationship between audit quality and growth and value stock returns was investigated experimentally and with the approach of logistic regression model. The quality of the audit is measured using two criteria: the type of auditor's opinion and the size of the audit firm and The division of stocks into growth and value was done using the Hagen model. Also, the size of the company, the leverage ratio and the profitability ratio as the control variables were introduced into the research model. The research sample consists of 80 companies during the period from 2007 to 2017. The results indicate that audit quality has a significant relationship with growth and value stock returns Based on p/s, Roa, p/e and Roe.

The effect of economical variables at invest market is the most important subject in finance theory. Tehran stock exchange is emerge from special place. efficiency and Capital market development are dependent to be active this Entity in the country.Two important function of tehran stock exchange are gathering small saving and available liquidity in society and directing them to stock product process and services in the country. In this way identification effective factors at efficiency of securities return have significant effect in deeper analysis and taking more appropriate decision from investors. accordingly in this article we examined the effect of volatility currency rate of return as a macroeconomic variable at TEDPIX and TEPIX on Tehran stock exchange on between 1395-1398.In this article with the goal of identification the effect of volatility currency rate of return as a macroeconomic variable at TEDPIX and TEPIX on Tehran stock exchange, two principle theories test with Convergence relationship that as a result the Currency rate of return effect at TEDPIX and TEPIX on Tehran stock exchange with 4 days lag.

Risks and hazards in the economic context of a country can affect the country's economic indicators and have a reason for the growth or decline of the index .Risk can be explained as a factor that upsets the balance and changes the situation In emerging economies, one of the concerns of economists is to control existing risks to reduce costs and increase the growth of economi indicatorsIn this study, the effect of financial, economic, international and political risks on the total index of the stock exchange is examined, which, while examining the presence or absence of impact, examines the direction of impact. For this purpose, the modelARDL Quarterly data for the years 1388 to 1398 were used The results in the short and long term are that financial risk has a negative impact on the index and economic and international risk have a positive effect in the short term and in the long term financial risk and economic risk are also negative but international risk. It has a positive effect

Forward-looking information or statements refers to information that has a future semantic burden. This information includes information about the company's future that may later be presented as historical information (actual results). Forward-looking information presents the manager's beliefs and expectations as factors affecting the company's performance and providing assumptions and assumptions to shareholders and investors. The primary purpose of this study is to investigate the effect of forward-looking information disclosure on stock price response. For this purpose, the data of 140 manufacturing companies listed on the Tehran Stock Exchange and Over-the-counter (OTC) stock market during the years 1394 to 1398 are analyzed through combined data. In order to investigate the effect of forward-looking information disclosure on stock price response, Olson (1995) model is used. Then through the Z Wong test, the significance of Olson (1995) model determination coefficients and the first hypothesis model are compared. Also, to measure the disclosure of forward-looking information, the impact of forward-looking words is first examined by financial analysts following research (Hassanin and Hosseini, 2015). Using the Savara method, one of the multi-criteria decision-making methods, words influencing investors' decisions, is weighted. The results of the first hypothesis show that the disclosure of forward-looking information in the studied samples did not have a high information load and did not cause a stock price reaction. The second hypothesis results show that the two criteria of external uncertainty (sales change coefficient and P/E change coefficient) positively and significantly affect the relationship between forward-looking information disclosure and stock price response.

Today, social business is known as an effective and sustainable solution in the economic and social development of countries and is attracting the attention of wider sections of society every day. How to finance is one of the strategic issues in advancing social businesses to start and manage these businesses. In this study, using the qualitative research method, the factors affecting the financing of social businesses through the banking industry have been identified and categorized. By conducting interviews with banking industry experts in 1999, a total of 15 interviews were selected using snowball sampling. Twenty-four main categories were identified based on the data paradigm model of the foundation and structured in six dimensions. Income generation, legal obligations of banks and financial innovation, investment and competitive environment in the banking network as "causal conditions", characteristics of the firm, political laws and sanctions as "interfering conditions", informal institutions in the banking network, place of supply Finance in banking policies, environmental constraints, knowledge and expertise of bank employees as "underlying conditions", social mechanisms of value creation, agile banking executive system, implementation of integrated banking control and supervision system, attracting investors, selling shares to Title "interactive dimension", individual entrepreneurial capacity, business platform, sustainable social business, maximizing benefits as a "pivotal phenomenon" and ... Finally, based on the analysis of the extracted data and the inference of the results by the researcher, the financing model of social businesses was extracted through the banking industry.

The performance of the organization and ultimately its value is improved through activities that increase the critical factors of success. Managers with higher efficiency seem to seek to increase high performance and then maintain a stable competitive advantage among their competitors, and it is expected that management efficiency can affect the relationship between long-term bank performance and sustainable competitive advantage. Therefore, based on this argument, the purpose of this study is to provide a model for evaluating the long-term performance of commercial banks based on the approach of sustainable competitive advantage with emphasis on the role of management efficiency. The research hypothesis was tested using a sample consisting of 23 banks listed on the Tehran Stock Exchange during the years 1390 to 1397 and using a multivariate regression model. The obtained data were analyzed using Ives 10 software. Findings indicate that the identified factors evaluating the long-term performance of commercial banks such as financial performance (economic value added) and profitability indicators (Kyoto, return on assets and return on equity) affect the bank's sustainable competitive advantage. Also, management efficiency as a moderating role affects the relationship between long-term performance appraisal of commercial banks (economic value added, Kyoto, asset returns and equity returns) and the bank's sustainable competitive advantage. On the other hand, due to the fact that the rate of coefficients obtained from private banks is higher than state-owned banks, so in order to increase management efficiency, it is recommended that banks move towards privatization.

Financial indicators are good benchmarks for policymakers who want to assess the current state of the economy and predict the future, especially for creditors and the central bank, and there are several reasons to justify this. The data on which the financial indices are calculated is essentially defined by looking at the future and possibly taking into account market expectations of the macro data. Financial indicators may also directly affect the future state of the economy or be influenced by macroeconomic and micro indicators. This study attempts to conduct a systematic and comprehensive study to identify all the measures that may be likely to affect profitability and other key indicators of financial performance and provide a complete database of these measures. For this purpose, a combination of knowledge domain and content analysis methods has been used to select effective metrics. Finally, the most effective factors are determined through interviews with experts and the fuzzy DEMATEL method.

The present article is to investigate the contagiousness of systemic risk in Iranian financial markets. In recent years, markets, i Due to the fact that information is not evenly distributed among the players in the market, this asymmetry causes the transmission and transmission of shock from one market to another In this dissertation, simultaneous multi Garch models and co-variance changes are used, method for identifying seriality and its effects in institutions.each other in the event of various internal and external shocks and creating financial stability, it is necessary to examine the contagiousness of risk between markets.In general, it can be said that the relationship between financial markets can be considered as a strength and can also be explained as the possibility of crisis transmission or systemic riskThe purpose of this study was to investigate the contagiousness of systemic risk in Iranian financial marketsThe variables studied in this study included internal and external shocksexchange rates, oil pricesand information about them during the years 98-97 from the stock exchanges and securities in the target markets and the financial system of the largest oil holding company, Was collected. the variables were calculated and processed using Excel software, and then Ives software was used for statistical analysis of the obtained information and achieving a reliable result.Friedman test, the country's capital market sector with an average rank of 2.9 has the highest share of systemic risk and the banking system with an average rank of 1.8 has the lowest share of systemic risk

An investment manager puts the investment fund in a stable position before the market rises and falls. With this approach, in this study, an attempt has been made to model the factors affecting the timing of liquidity in Iranian mutual funds using Structural Equation Modeling (SEM). To achieve this goal, the required information was collected by survey and by designing a questionnaire from investors, experts and specialists in the Iranian capital market for the year 2020. Based on the results, external factors (with a path coefficient of 0.281) and internal factors (with a path coefficient of 0.419) have a significant effect on the timing of liquidity in mutual funds. The larger the coefficient of the path of internal factors indicates the fact that these factors have a stronger effect on the liquidity timing of mutual funds than external factors. Finally, the variables of interest rates on deposits, parallel market and stock returns, inflation rate, oil revenues, economic growth and political developments are external factors that respectively with path coefficients 0.786, 0.827, 0.664, 0.506, 0.582 and 0.404 and the variables of fund management ability and skill, relative life and size of the fund, net value and percentage of cash assets of the fund, return, profitability and capital expenditures of the fund, risks facing the fund and the number of industries in the fund's investment portfolio are intra-corporate factors that respectively with path coefficients 0.756, 0.426, 0.736, 0.553, 0.767 and 0.580, have a significant effect on the liquidity scheduling of mutual funds.

Examining the effects of banking risks such as credit, liquidity, market and operational risk along with continuous economic growth through the implementation of monetary policy is an important goal. Liquidity and credit system are also related to the stability of the banking system, and weaknesses in adapting to risk and stability in this area can cause a lot of damage to banks in the face of risks for banks.The statistical population of the study includes all banks listed on the Tehran Stock Exchange during the years 1389 to 1398, some of which were examined by elimination sampling. In this regard, 6 hypotheses were proposed and using multivariate regression and The collected data were analyzed using Eviews software. The results of data analysis showed that market risk (exchange rate fluctuations and interest rate fluctuations) has a significant effect on bank stability. To be. Finally, other findings showed that credit and liquidity risks also had a significant effect on bank stability.

The purpose of the present study is supposed to be assessing and measuring systematic and unsystematic risks that are affecting petrochemical companies listed on Tehran Stock Exchange Market with a financial -marketing approach in two stages. In the first stage, quantitative assessment of systematic and unsystematic risks is done based on financial approach using downside risk and arbitrage pricing model. As a result of these calculations, it was found that downside risk of portfolio stock returns of companies accepted in Tehran stock market was greater than risk of portfolio stock returns and the greatest risk to the stock returns of petrochemical companies threatens, due to the cultural and economic and political factors and technology and the internal factors have less effect on the risk of stock returns of petrochemical companies. In the second stage, qualitative measurement (rating) of systematic and unsystematic risk was performed based on the marketing approach. The following results were obtained: crude oil price fluctuations, lack of attention to environmental standards, political developments, especially global sanctions and cancellation of the contracts with foreign companies and changes in the exchange rate are among the factors that increase in the systematic risk in the petrochemical industry.

The purpose of this study is to investigate the effect of economic uncertainty on cash holdings in listed companies in Tehran Stock Exchange. In this regard, the financial information of 135 companies during the period 2010-2010 was systematically extracted and analyzed as statistical sample of research. The purpose of the research is applied and it uses the correlation method. It is also a time-consuming type of post-event research. Statistical analysis was performed using SPSS, R software at 95% confidence level and panel data and linear regression model were used to test the hypotheses. The empirical evidence from the research hypotheses suggests that there is a negative and significant relationship between the variables of stock market index economic uncertainty and consumer price index with cash holding level. The same result was also found among the variables of economic uncertainty effect on cash holding With a year delay . Therefore, both research hypotheses were confirmed.

The comprehensive model of acquisition and merger is the process of combination and merging companies. Acquisition and merger create a stable competitive advantage, and this is when there is an incompatibility between the resources, capabilities and opportunities to the two companies. Resources include marketing excellence, distribution network, R&D, and excess operational capacity. Acquisition and merger in the case of public limited companies is done by purchasing and transferring ownership of a significant portion of a company's shares to another legal entity.

The type of present study is a survey and applied Study. The statistical population of this study includes experts familiar with knowledge-based and start-up companies and informed about the concepts of acquisition and merger, of which 10 experts were identified and considered as the statistical sample of the research. The data collection tool is an expert questionnaire and pairwise comparisons.

According to the studies, 5 components include creativity and innovation, Technology, Professionalism, Empowerment and organizational behavior have been identified as the main dimensions in the design of this model. Based on the results, it was found that all of these components had a significant effect on the pattern of acquisition and merger.

According to the research findings, it can be concluded that among the factors of acquisition and merger, creativity, innovation and technology has had the greatest impact on the formation of the pattern of acquisition and merger.Keywords: Acquisition and Merger Pattern, Knowledge-Based and Start-up Companies, Multi-Criteria Decision Making, Fuzzy Dimtel Method

Augmented Reality (AR) is a technology that can address the limitations of traditional chat and information platforms such as telephones, face-to-face communications, and the Internet. AR has made it possible to access and interact with digital information in real time in the physical world (although the process by which an organization can communicate is often ambiguous, interactions, including conversations and information, often serve as a hub for Shared value creation are described). Thus, interactive platforms enable companies to provide a center for collaboration. In this study, identifying the factors of the co-creation model in the face of perceived augmented reality and explaining their relationships and presenting the co-creation model in Exposure to augmented reality over perceived risk has been intended.Research

In this research, a mixed method has been applied, which includes qualitative and quantitative methods. First, the data were analyzed using data theory and MAXQDA software and then using structural equation method and SMArtPLS software. The statistical population of this research is for the qualitative part of experts including marketing professors and specialists, augmented reality, and in the quantitative part of this research includes senior managers, middle managers and technical and engineering experts, Mapna Group companies in the field of development and construction of thermal power plants. Oil, gas, and rail projects were sampled as accessible due to difficult access and limitations of coronary heart disease.

Today, discussions and concerns about the complexity of financial reporting systems around the world have become increasingly important for investors and other users of financial reporting, and the issue of financial reporting complexity is one of the most important concerns of investors, legislators, auditors, stockbrokers. There are different securities and organizations, to which different factors depend. The role of corporate governance, which increases the power of reliance on financial reporting, is important in addition to discussing the complexities of financial reporting. The present study seeks to investigate the relationship between the complexity of financial reporting and corporate governance in companies listed on the Tehran Stock Exchange. For this purpose, using the ten-year information of the financial statements of the sample companies listed on the stock exchange, which were selected by elimination during the years 1389 to 1398, and using statistical and econometric software, we examined the hypotheses explained for this study. The results of hypothesis testing in this study show that there is an inverse and significant relationship between the complexity of financial reports with corporate governance in companies and by applying more corporate governance mechanisms, the complexity and ambiguities in financial reporting are reduced and lead to improved capabilities. Understand these reports for investors and other users of corporate financial information.