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 Seigniorage, in addition to being a crucial economic tool, holds a significant position in terms of governance for governments. The way governments manage the power obtained through seigniorage can be influenced by granting independence to the central bank or by adhering to principles of good governance within social institutions. Good governance has several positive effects on government revenues and efficiency. While the use of seigniorage may initially appear as a natural right of governments, if it leads to a faster growth rate of money compared to economic growth, it can result in inflation and impose inflationary taxes.According to the theory of financial dominance, the practice of monetizing deficits undermines the independence of the central bank, rendering it unable to exercise proper monetary control and policymaking. In countries that are members of the OPEC cartel, where government budgets are often closely tied to oil revenues, budget deficits can be influenced by fluctuations in oil prices, which can incentivize governments to use seigniorage more frequently. Additionally, in the context of good governance, covering up government inefficiency and corruption can also serve as an incentive for increased use of seigniorage. This research focuses on exploring the relationship between good governance and seigniorage in OPEC member countries that have access to oil revenues.

This study has employed a panel vector autoregression model to investigate the relationship between good governance and seigniorage among the member countries of the Organization of the Petroleum Exporting Countries (OPEC) during the period of 1995-2020.

Among the OPEC members, four out of the six facets of good governance were found to have a negative correlation with the government's use of seigniorage. However, no statistically significant correlation was observed between other facets, namely changes in political stability and the absence of violence and terrorism, government effectiveness, and the government's use of seigniorage. The findings also indicated long-term effects of good governance shocks, as an institutional factor, on seigniorage, lasting for up to seven years. Therefore, this study cautiously confirms the negative correlation between the good governance index and the government's use of seigniorage. 

In OPEC member countries, where governments also control oil revenues, good governance can play a role in managing these revenues. Oil revenues have two effects on government decisions; an income effect and a monetary effect. In terms of income, it increases the government's available revenues, while in terms of money, it can contribute to the country's monetary base. However, unless the domestic equivalent of money is received from the central bank and introduced into the domestic economy, it does not lead to a change in the monetary base and inflationary effects. In countries with active and effective social institutions, better governance enables governments to use oil revenues more efficiently, often directing them towards investment funds to increase the country's wealth. Therefore, the impact of oil revenues on seigniorage in OPEC member countries is determined by the combined effect of these two outcomes. Furthermore, good and efficient governance by the government leads to a reduction in government expenditures, subsequently reducing the need for inflationary financing and the use of seigniorage. Good governance, considering factors such as responsiveness and the political costs of the government when using seigniorage, increases the costs and reduces the government's inclination to rely on inflationary financing. The research results did not indicate a negative relationship between the variables of "political stability and absence of violence/terrorism" and "government effectiveness." Several factors may contribute to this finding, including the fact that the studied countries are developing nations where government expenditures increase significantly with improved political stability through development programs. Moreover, except for Kuwait and the United Arab Emirates, the government's efficiency in most OPEC member countries is somewhat negative and exhibits low volatility, which may explain the lack of significant impact from changes in government effectiveness on seigniorage. As various studies have confirmed, improving good governance has positive effects on economic growth. With some caution, this research suggests that enhancing good governance leads to less inflationary financing and reduced government reliance on seigniorage. Therefore, establishing the necessary conditions for better governance in OPEC member countries can help curb inflation, which is one of the main consequences of the government's reliance on seigniorage. Establishing good governance based on appropriate economic, political, cultural, and social structures is feasible, but the decision and willingness of rulers to implement it undoubtedly remain among the most influential factors in this endeavor. The investigation of good governance and the seigniorage in Iran also demonstrates that Iran relies more on the average OPEC members for inflationary financing or using the seigniorage, and its governance indicators are lower than the selected countries' average. Therefore, based on the results obtained from the analysis of responce functions in empirical analysis, it is essential to pay attention to changing and improving the methods of governance and administration of the country. This way, monetary governance can be improved, and the government's use of the seigniorage can be limited

Today, Internet shopping has provided perfect opportunities for online business owners. Identifying and improving the various channels that customers use for purchases at online stores will lead to competitive benefits for these businesses. Therefore, recognizing motivations and different channels used for product searching is crucial and this research addresses these issues. This qualitative phenomenological research was conducted based on customers’ lived experiences. A protocol was developed for collecting data from 23 participants selected through purposive sampling with maximum variation strategy. The obtained data and the interview content were statistically analyzed in MAXQDA. Based on the study results, 4 categories were extracted for features of utilitarian purchase (i.e. wise purchase, tangible consumption results, substitute, and purposive processing) and 4 categories were extracted for features of hedonic purchase (i.e. recreational application, intangible consumption results, no substitute, and simple information processing). The results also indicated that the search resources were social media and product presentation by target retailers for hedonic purchase and search engines, online shops, third-party views, and product presentation by competing retailers for utilitarian purchase.

The Internet helps consumers to adapt to the new methods of shopping. Well-designed product web pages and the effective use of verbal and visual characteristics create a favorable customer experience, which is critical to the success of online retailing, while these characteristics remain unclear. This research aims to investigate the verbal and visual characteristics that promote favorable online shopping experiences.

The methodology of this study is descriptive phenomenology. Evidences were collected from fifteen participants, by the aid of the semi-structured protocol using non-probable purposive sampling method. Colaizzi method was used to analyze the data by aid of "MAXQDA" software. The reliability of the coding is based on the level of agreement between two coders (kappa confidence) and the validity of the coding is confirmed by referring to the participant's feedback.

The findings contain three main themes and nine sub-themes. First, Shopping experience subdividing to product experience, privacy and security, return and exchange, delivery and user friendliness for the customer. Second, Product Verbal Characteristics themes subdividing to technical and printing information. Third, Product Visual Characteristics themes subdividing to graphical and structural elements.

Managers and online businesses can use the results of this research to improve their customer experiences and increase the effectiveness of product presenting by using verbal tools such as product technical and printing information, and visual tools such as graphical and structural elements.

With the proliferation of electronic commerce, examining the role of various information channels during the customer journey has become increasingly important. Online information channels, which conveniently provide a variety of relevant information, significantly influence purchase decisions. Given the complexities of customer journeys on the internet, identifying the mechanisms behind the choices and usage of information channels remains a challenge. These choices and usages depend on a range of retailer and product-category characteristics, as well as diverse consumer preferences. Additionally, the rapid expansion of online retailing has been driven by the global increase in Internet access. This trend has created a marketplace where consumers have access to a diverse array of supplier and product information, enabling them to compare products and services with those of competitors and achieve more favorable outcomes. In other words, the evolution of the Internet as a primary sales channel has prompted researchers to investigate the fundamental factors and motivations that drive online shopping. They aim to understand why consumers choose specific online channels based on various motivations, whether hedonic or utilitarian. According to studies, consumers choose online shopping based on hedonic or utilitarian motivations, both of which subsequently influence their online shopping experiences and purchase decisions. Consequently, the relative importance of channel features for consumers largely depends on their motivations. Understanding the different motivations that consumers have for utilizing various online communication channels offers valuable insights for improving the effectiveness of online marketing efforts, warranting further investigation. This study aims to validate a scale for assessing product search channels based on hedonic and utilitarian shopping characteristics, followed by an evaluation of the model's ability to predict the use of online channels.

The present study employed a mixed-methods approach, utilizing semi-structured interviews within a phenomenological framework with twenty-three participants during the qualitative phase. A questionnaire was developed based on the insights gathered from participants in this phase. Additionally, quantitative research was conducted to build upon the qualitative findings, aiming to develop and validate a scale that examines the model's capacity to predict online customers' search and purchasing behavior. The foundation of this research was grounded in quantitative analysis. Furthermore, questionnaires were administered to four hundred thirty-four online customers in Tehran, selected through non-probability and convenience sampling, and the data were analyzed using multivariate analysis techniques. This research was exploratory and applied in nature, evaluating the relationships between indices and sub-constructs, as well as between main and sub-constructs, through exploratory and confirmatory factor analysis and structural equation modeling within a positivist framework. Additionally, the validity of the constructs was established through convergent and discriminant validity indices, while the reliability of the constructs was confirmed using composite reliability and maximum reliability coefficients.

A total of fourteen components were identified based on the results of exploratory factor analysis conducted using SPSS. Additionally, confirmatory factor analysis performed with AMOS supported the reliability and validity of the measurement tool through various indices. Furthermore, evidence was assessed using structural equation modeling in AMOS to evaluate the model's ability to predict the use of online channels based on purchasing motivations. The results of the structural equation modeling indicated that customers with utilitarian shopping motivations significantly utilized search engines, product websites, third-party information, and visits to online retail websites. In contrast, customers with hedonic shopping motivations significantly engaged with social media and manufacturer websites.

The findings indicate that consumers with hedonic and utilitarian motivations utilize different online channels during the shopping process. There are distinct online platforms tailored to these varying motivations. Consequently, marketers should formulate their strategies based on product categorization to improve efficiency. Businesses must design their online stores to deliver optimal customer experiences, thereby encouraging increased online purchases. It is essential for organizations and businesses to recognize that customer experience is the most significant competitive advantage. Properly designing product search channels reduces costs and enhances customer engagement. This enables companies to better understand and identify different user segments and their needs, allowing them to select appropriate strategies for customers' journeys. This research not only provides practical recommendations for online stores but also assists future researchers in developing and exploring the research model with other effective variables across various contexts. In doing so, it bridges research gaps and serves both practical and theoretical purposes. The research findings have both theoretical and practical applications. The theoretical insights can enhance the scientific community and assist researchers by expanding the existing literature and directing future studies on the topic across various statistical populations. Additionally, they can aid in the development of the research model by incorporating other potential variables. On the practical side, the results can provide valuable guidance to managers of online stores.

Creating effective online customer experiences through well-designed product web pages is critical to success in online retailing. How such web pages should look specifically, however, remains unclear (Bleier et al., 2018). Unlike traditional retail, customers evaluate products online not through physical interaction but through verbal and visual stimuli (design elements) on product web pages (Lemon & Verhoef, 2016). Kovikaite et al. (2009) stated that the detailed evaluation of verbal and visual package elements and their impacts on consumer’s purchase decision, taking into consideration involvement level, time pressure or individual characteristics of consumers, is necessary in order to implement efficient packaging decisions. Also, Blair et al. (2018) focused on product web pages, but a design perspective could also improve the understanding of other domains in which verbal and visual stimuli build customer experiences, such as mobile apps. Previous research has examined only a few design factors individually, with a quantitative method and only in the web environment. It has hardly examined the various dimensions of customer experience based on the verbal and visual characteristics of online store platforms. Elaborating on the importance of online store platforms such as website, Instagram and mobile application, in online selling products, this research will investigate the verbal and visual characteristics that play a pivotal role in the design of online store platforms and product introduction based on the lived experience of customers who buy online from stores.

Phenomenology is a form of qualitative research that focuses on the study of an individual’s lived experiences in his daily life and his social interaction with other people. In this research, the phenomenology method has been chosen to answer the research questions that are about the conventional experiences and behaviors in people's daily life. The participants were selected from the customers of online store platforms (Websites, Instagram, and Mobile applications) who have made their online purchases during the time of this research. It was important that they have the required knowledge in this field; therefore, valid results could be extracted. The sampling method was non-probable purposive. In terms of gender, 60% of the participants were female, and 40% were male. The theoretical saturation was achieved after 15 semi-structured interviews. Collazzi method was used for the data analysis by the aid of the Max QDA software.

In this research, the online experience of the customers and the verbal and visual characteristics of the online platforms (Websites, Instagram and Mobile applications) were identified. The findings show that online shopping experience includes a number of themes. They are product experience, privacy and security, return and exchange, delivery experience and being user friendly for the customer. The verbal characteristics of the platform include the themes of information, the ease of searching for information, responsiveness and guarantee, the platform announcing, the ease of ordering and purchasing and social communication. The themes of the visual characteristics of the platform include related extra information about product and visual product introducing in platform.

Previous research has generally dealt with the topic of verbal and visual characteristics but no study has investigated verbal and visual characteristics with a phenomenological method. The careful and accurate investigation of the verbal and visual characteristics of the online platform, based on customers’ lived experiences, adds novelty to this research and enriches the literature in the field.  In this research, the main and secondary themes of the verbal and visual characteristics of online store platforms (Website, Instagram, and Mobile applications) in product introduction were determined through the lived experience of customers, which can be used for the marketers and designers of online store platforms to increase both the purchase intentions and uncertainty of customers. With the practical suggestions provided in this research, platform designers have better understanding of the strengths and weaknesses of the visual and verbal factors of their platforms and can increase the desirability of the platforms. These suggestions are divided into three categories of features. Verbal and visual characteristics and suggestions were presented to increase the desired customer experience.There are some limitations in this research. The results of the research cannot be generalized to physical stores, and one must be careful in generalizing them to all type of online store. This research was only conducted on the verbal and visual characteristics of online store platforms and did not investigate which platform creates a better experience. The variables of customer purchase history and age are not controlled, nor is the number of visits by customers from different platforms (Websites, Instagram and Mobile applications).For further research, this study can be replicated among Y & Z Generations separately. There can also be a study of which platforms are most influential in creating a favorable customer experience. In addition, the history of purchasing can be controlled for each participant.

This research aims to explore the impact of touch concepts and tactile descriptive adjectives on customers' purchase intentions in both physical and online shopping environments. While some products can be accurately perceived through digital media, others may require a tactile experience. In today's market, products are available through virtual and physical stores, where the sense of touch or tactile alternatives plays a crucial role. The study utilized a correlational method and focused on customers of online and physical stores in Tehran. A total of 332 participants were randomly selected from both populations, and data was collected through questionnaires and analyzed using structural equation modeling. The findings indicate that six key factors related to touch concepts, such as product understanding, physical touch, virtual touch, touch experiences, customer's need for touch, and tactile perceptions, positively and significantly influence customers' purchase intentions. A comparison of the coefficients between the two groups revealed that product understanding and touch experiences were similar, while physical touch and customer's need for touch were more pronounced in physical store customers, and virtual touch and tactile perceptions were more prominent in online customers. This study sheds light on the importance of product touch in both online and physical retail settings for enhancing customer satisfaction.

The purpose of this article is to investigate the effects of monetary policy through monetary transmission channels (interest channel, exchange rate channel, credit channel and expectations channel) in the short and long term during the period 1386Q1-1396Q4. For this purpose, using the structural vector autoregression model of the effects Monetary policy was examined through channels. The experimental results obtained by estimating the relationships between variables using the SVAR approach based on statistical data show that in the short and long term, the exchange rate channel is the most effective channel in the transmission of monetary policy, so that the variable of expectations has both the most effect in the short term and long-term on this channel, after the exchange rate channel, there are expectations channel, and after that, credits and interest rate channel, which have the greatest impact in the short and long term, respectively.Finally, by examining the relative importance of monetary transfer channels to each other, it can be pointed out that with the passage of time, the influence of the channels will change, so that with price shocks, the expectations channel has the greatest impact in the short term, and the medium term of the effective money and the interest rate channel is effective in the long term.

The touch of the product plays an important role in the final decision of the customer when purchasing from physical and online retail, and the sensations that come to be enjoyed through touch enable them to experience the product from all angles. Therefore, considering the importance of touch, this research has investigated the lived experience of touching the product from the point of view of customers of physical and online stores. The following article is done with qualitative method and phenomenological paradigm. The research community is made up of electronic and clothing buyers from online and physical stores: Technolife, Adak, Havadar and Happyland in Tehran, and through semi-structured interviews, evidence was collected based on the purposeful sampling method. The interviews continued until reaching the theoretical saturation, and in this research, the interviews reached saturation with 15 people. Based on the extracted results, the main themes include; Product perception is physical touch, virtual touch, touch experiences, need for touch and touch perceptions. According to the results, managers of physical and online stores should provide conditions (such as the use of modern technologies) that touch and contact with the product happen to both groups of online and physical buyers so that they can buy products based on their needs and wants, and also this research can pave the way for the development of touch literature for researchers.

In this research, attempts have been made to identify the characteristics and distinctive features of Islamic banking compared to conventional banking by studying the theoretical framework of Islamic banking literature. Subsequently, by focusing on each characteristic, their relevant indicators were designed and introduced.

The purpose of this article is to investigate the effects of monetary policy through monetary transmission channels (interest channel, exchange rate channel, credit channel and expectations channel) in the short term during the period of 1386Q1 - 1396Q4.

Using the structural vector autoregression (SVAR) model, the effects of monetary policy were investigated through channels.

The experimental results obtained from the estimation of the relationships between the variables using the SVAR approach based on statistical data show that in the short term the exchange rate channel is the most effective one in the transmission of monetary policy in a way that the expectations variable has the most effect on this channel. After the exchange rate channel, the expectations channel and the credits and interest rate channel have the most impact in the short term, respectively.

By examining the relative importance of monetary transfer channels, we can point out the principle that with the passage of time, the effectiveness of the channels will change. Accordingly, with price shocks, the expectations channel has the most impact in the short term.

Examining the dynamics of oil commodity prices at different times is of particular importance, as fluctuations in commodity prices can be a serious problem for policymakers. Monetary policy shocks are among the factors that can affect the price of petroleum products. Therefore, identifying as accurately as possible the factors affecting price changes can be of great help to policymakers. Due to this, the purpose of the present study is to investigate the effect of monetary policy shocks on price dynamics of selected petroleum products group in Iran using Bayesian Var model in the period of 2008-1 to 2017-4. Selected petroleum products include bitumen, slack wax oil and sulfur. The results showed that in the long run, liquidity, the price of slack wax oil and the price of sulfur had the greatest impact on the price of bitumen, slack wax oil and sulfur, respectively. Interest rates have been studied the least impact on commodities.

The Present article examines factors that have effect on saffron warehouse receipt and on saffron futures in Iran commodity exchange. This study tries to identify the import of saffron future price and the two-way communication between these two financial instruments (saffron warehouse receipt and saffron futures) to saffron market.

In this regard, this study seeks to answer the existence of the relationship between linear and non-linear causality between these two financial instruments. The data were obtained daily in the period from June 2018 to July 2019 using price fluctuations in saffron warehouse receipt and saffron futures. Descriptive – analytical research methods and library data collection methods, regression models and the concept of neural networks with the help of Eviews software and R Economic Statistical Software were used. The price fluctuations of saffron warehouse receipt have been extracted using Arch family models.

Results indicate that there is a two linear causality relationship between warehouse receipt’s price fluctuation and future’s price fluctuation. To investigate the existence of non-linear causality between the two under studied, variables VAR model residual was used. The BDS test result show the existence of a non-linear relationship between the mentioned variables. The results of the non-linear granger causality test based on neural network show that futures price are the cause for price fluctuations in saffron warehouse receipt.

It can be stated that price discovery is formed in saffron future market and saffron warehouse receipt market follows the futures market.

VAT is a methodology and thinking that has passed several decades of positive experience in other countries and is emphasized by most of the experts and economic and tax experts of the World Bank and the International Monetary Fund. This research is an applied research in terms of purpose and since the research examines the relationship between several variables, the research is a kind of descriptive correlation in terms of nature and method. The results of model estimation showed that VAT revenues It has a positive and significant effect on the economic growth of different provinces. Also, the intermittent amount of GDP growth rate per capita of the provinces has a positive and significant effect on the economic growth rate of this year and also the variable of bank credit, investment, has a positive and significant effect on economic growth rate. Also, the variable of investment and government spending has a positive and significant effect, but the inflation rate has a significant and negative effect on economic growth.

Coaching culture in organizations is a transformational process in which coaches as an organizational catalyst facilitate the development of leaders, managers and employees. The purpose of this study is to identify the impact intra-organizational Behavioral factors on coaching culture and intrapreneurship. This research is applied in terms of purpose and is descriptive-correlational in terms of data collection. The statistical population of this study is all managers and experts of Dana Insurance Company in Tehran, the sample size of which calculated to be 280 people. A standard questionnaire used to collect information, the validity of which defined by confirmatory factor analysis. Pearson correlation used to analyze the data and structural equation approach used to confirm the model. The software output shows that the direct relationships between the variables are significant. In addition, intra-organizational behavioral factors such as organizational transparency, trust, entrepreneurial attitude of managers and employees and entrepreneurial leadership style simultaneously influenced by the coaching culture and affect the emergence of entrepreneurial behaviors and implementation of entrepreneurial ideas in the organization (intrapreneurship).

Macro-monetary and financial variables are among the factors that can affect the country's economic growth, especially gross domestic product (GDP). Due to the importance of the subject, the main purpose of this study is to investigate the simultaneous transfer between the exchange rate, inflation rate and GDP in the Iranian economy. Relationships between variables were investigated using a structural vector auto regression (SVAR) approach based on statistical data from 2009-2010. Using instantaneous response functions, sudden shocks in research variables and their effect on economic growth index (GDP) over 10 periods were investigated. Analysis of variance was also used to answer the research hypotheses. To show large fluctuations in both inflation and exchange rate variables, Hadrick-Prescott and Baxter King filters were examined. In general, the results showed that the exchange rate and inflation rate have a negative impact on the GDP index. There is also a positive relationship between the exchange rate and the inflation rate, ie with the increase of the exchange rate, the inflation rate increases.

Coaching culture in organizations is a transformational process in which coaches as an organizational catalyst facilitate the development of leaders, managers, and employees. Entrepreneurship development is one of the challenges facing policymakers and managers of companies. The coaching culture plays a vital role in the organization entrepreneurial activities by providing supportive programs to employees for achieving high levels of self-efficacy. The main purpose of this study is to provide a model for institutionalizing the coaching culture in order to develop Intrapreneurship. Accordingly, the research method in terms of purpose is applied and, in terms of data collection is qualitative-exploratory. The sampling method is purposeful using the snowball method. Semi-structured interviews with 15 experts used to answer the research questions. The data analyzed during two stages of open and axial coding. Based on the findings of the research, organizational characteristics, organizational platforms that support coaching culture, employees' feelings and perceptions, organizational atmosphere, organizational managers' characteristics, and coaches' characteristics are effective factors in the institutionalization of coaching culture. Also, institutionalization strategies including the continuous use of coaching at multiple organizational levels, employee and manager empowerment programs, the use of entrepreneurial organization's human resources management, the implementation of systemic thinking in the organization, the establishment of a collaborative management system, and aligning the coaching culture with organizational values identified.

In human capital management, the term employee loyalty is used as a key to motivate and maintain employees with higher productivity and has a significant effect on well-being, attachment and job satisfaction, employee effectiveness and organizational performance. Enthusiastic employees completely integrate with the organization and consider the organization as their identity, consider the organization's failure and success as their own failure and success, and strengthen each other in difficult and critical times, cover the organization's weak points, and in They take the path of doing impossible things.This study aimed to investigate the effect of psychological states on loyalty in the educational organization employees.

The research was applied in terms of purpose and mixed in terms of method (qualitative and quantitative). The research population in the qualitative section were education experts and psychology professors who based on the principle of theoretical saturation, 20 people were selected and interviewed by purposeful sampling and snowball. All interviews were coded by content analysis method and were analyzed by Maxqude software. In a small part of the statistical population, including staff, teachers and selected managers of education in Qazvin province in the fall of 2020 with a number of 1200 people and based on Cochran's formula 292 people were selected as a statistical sample. The validity of the questionnaire was confirmed using face and content validity. The reliability of the questionnaire was 0.92 with Cronbach's test. Data analysis was performed by inferential factor analysis with MICMAC software. Finally, Minimum Partial- Squares method and PLS software were used to validate the structural equations and model fit.

he results of the qualitative section showed that there were 64 indicators and 26 components in the form of 7 dimensions, which include: personal dimension with components (self-efficacy, resilience, self-esteem, role-playing behavior), working conditions dimension with components (supervisor support, Independence and freedom of action, professional development, job-person fit), organizational-organizational dimension with components (organizational trust, learning opportunities, reward and appreciation, identity, organizational strategies), moderating variables with Psychological components (job security, organizational interaction, personality traits, social norms), individual outcomes with components (passion, job attraction, skill level), job components (outcomes including, Job satisfaction, commitment to work, empowerment) and the dimension of organizational results including: (productivity, desirability, quality improvement, meritocracy in the organization, respect and client satisfaction) extracted have a positive effect on the loyalty of education staff. The results of a small part showed that the model had a good fit (GOF = 0.39) and the set of pattern variables could predict the loyalty variance of 0.76.

According to the research findings in the proposed pattern, it could be concluded that psychological states are one of the most important and vital factors in developing loyalty among educational organization employees. These results can provide a basis for reviewing and making fundamental changes in organizational rules.

Investigation the Relationship between Saffron warehouse receipt's price fluctuations and saffron future trading volume in Iran Mercantile Exchange (IME)AbstractThe Present article examines the effect of future trading volume on warehouse receipt's price fluctuations and the two way communication between them, in order to analyze mixture of Mixture of Distribution Hypothesis (MDH) and Sequential Information Arrival Hypothesis (SIAH).For this purpose, this study using the relationship between linear and non-linear causality between these variables. Results indicate that there is a two linear causality relationship between warehouse receipt’s price fluctuation and future trading volume. To investigate the existence of non-linear causality between the two under studied, variables VAR model residual was used. The BDS test Results on VAR model residuals show the existence of a non-linear relationship between the mentioned variables. The results of the non-linear granger causality test based on neural network show that futures trading volume are the cause for price fluctuations in saffron warehouse receipt and therefore it can be stated that In Saffron trading in Iran commodity exchange, information flows from futures market to cash market and speculation in saffron warehouse receipt market as a stabilizer could not affect future trading prices. Materials and Methods In this study, ARMA models are used to analyze the time series production process and then Garch model to extract time series fluctuations of saffron warehouse receipts, VAR model to use model residuals and to recognize the existence of nonlinear relationships between variables. The linear and nonlinear Granger causality test has been used to examine the causality, which explains the nonlinear Granger causality test and its related preparations. To use nonlinear tests such as Granger nonlinear causality test, first it is necessary to ensure the existence of nonlinear relationships between variables, which is done by the BDS test, which is described below. After proving the existence of nonlinear relationships between variables, in this study, we used artificial neural networks and R software to investigate the existence of nonlinear causality.The results of BDS test on the residuals obtained from the VAR model between the variables show the existence of a non-linear relationship between the variables. The results show that although the existence of causality between the studied variables is proved linearly, but due to the non-linear effects between the variables and Granger nonlinear causality test, price fluctuations of warehouse receipts cannot be the cause of saffron futures volume. This means that information is flowing from the saffron futures markets to spot market, and since price fluctuations in warehouse receipt cannot be a reason for the volume of saffron futures transactions, It can be stated that speculation in the commodity deposit certificate market will not lead to changes in the trading volume of futures and as a result the price will not stabilize in future periods.

Given the importance of Islamic banking, the main purpose of this study is to investigate the impact of economic growth and investment in the country on the development of Islamic banking. This research is descriptive in nature and applied in purpose. Relationships between variables were investigated using the method of simultaneous equations based on statistical data from 1371-1376. Data from the Central Bank of Iran and the World Bank have been used to collect information to test the hypotheses. The hypotheses were analyzed using the 2SLS method and considering the variance heterogeneity and fixing it using generalized least squares (GLS) using Eviews software. In the present study, the root mean square error is used to express the explanatory power of the model, which has an acceptable value of 0.085, and the research model has a suitable explanatory. Findings show that with the increase and development of Islamic banking and its proper implementation, the economic growth index has improved. Also, the improvement and development of Islamic banking will increase investment in the country. There is also a positive and significant relationship between human capital and economic growth. Capital productivity and savings indices have a positive and significant relationship with economic growth and GDP has a positive and significant relationship with increasing investment in the country. Finally, with the increase of coins, the amount of investment in the country will decrease.

Economic Growth is one of the Important Goals of Macroeconomics in any Society and Therefore Identifying the Factors Affecting Economic Growth is of Particular Importance. In addition to the Factors Affecting Economic Growth that are Addressed in the Conventional Economy, the Islamic Economic System has also Introduced and Presented Mechanisms that Play an Important Role in the Economic Growth of Islamic Societies. One of these Mechanisms is Zakat. Zakat is the Cornerstone of the Islamic Economic System and has many Economic and Social Effects and can play an Important Role in the Economic Growth of Islamic Societies. The Main Purpose of this Study was to investigate the Role of Zakat in The Effect of Monetary and Productivity Shocks on Investment and Economic Growth in Iran Using Seasonal Time Series Data of Macroeconomic Variables during the Period 1379 to 1396. For this Purpose, a New Keynesian Stochastic Dynamic General Equilibrium (DSGE) Model in a Closed Economy for the Iranian Economy, as an Islamic Country with an Emphasis on Zakat Payment, is explained and then Compared with the Effects of Productivity and Monetary Shocks on Investment and Production is discussed in two Systems of Conventional Economics and Islamic Economics. The Results show that when External Shocks Occur in the Islamic Economy (with zakat), Investment and Production do not Decrease and Zakat has no Negative Effect on Economic Growth.

Household Consumption Decisions Have a Significant Impact on The Behavior of Macroeconomic Variables in The Short and Long Run. One of The Factors Affecting the Consumption of Households in an Islamic Society Is Zakat, Which Is Established in Islam to Combat Poverty and Acts as a Tool to Redistribute Income and Wealth from The Rich to The Poor and Plays an Important Role In Ensuring Justice and Economic Welfare of Society. In Fact, Zakat Has Various Effects on Macroeconomic Variables, Including Consumption, and Can Play an Important Role in Mitigating Shocks to The Economy and Establishing Economic Stability. The main Purpose of this Study was to Investigate the Effect of Zakat on Consumption Stability in the Iranian Economy using Seasonal Time Series Data During the Period 1379 to 1396. To this end, a new Keynesian Stochastic Dynamic General Equilibrium (DSGE) Model in a Closed Economy is Defined for the Iranian Economy as an Islamic Country with an Emphasis on Zakat Payments, and then Compares the Effects of Productivity and Monetary Shocks on Consumption in The two systems of conventional economics and Islamic economics are discussed. The Results Show That the Islamic Economic System (With Zakat) Has Been Able to Absorb Economic Shocks and Smooth Consumption Fluctuations in the Iranian Economy and Zakat Can Act as an Automatic Economic Stabilization Tool. Also, by Reducing the Consumption of Zakat Givers and also Increasing the Consumption of Zakat Recipients, it is Concluded that Zakat Improves the Income Distribution and Reduces the Class Gap in Iran.

Human capital in any organization has a positive effect on the performance of activities and causes the goals to move forward in the direction of organizational development. By investing in human resources, the field of increasing the supply of specialized labor as a factor of growth and development is also provided. The field of entrepreneurial human capital developmentstrategies is one of the new research fields in the field of human capital and entrepreneurship and little research has been done in this regard and no comprehensive model presented so far. The review of the human capital literature shows that several factors affect the development of entrepreneurial human capital of an organization's employees. Due to the importance of the subject, the main purpose of this study is to design a model of entrepreneurial human capital development strategies in governmental organizations. This research conducted within the framework of a qualitative approach and in order to collect data, in-depth and exploratory interviews used in two stages with 10 managers and experts of the Jihad Agricultural Organization. The interview tools approved both in terms of content validity and reliability based on the agreement between the two coders. Out of 280 verbal statements from the interviews, 28 influential factors at three levels: individual, organizational and macro level, as well as seven strategies for the development of entrepreneurial human capital, including training strategies, financial and legal policy strategies, human resource strategies, extra-organizational strategies, technological strategies, cultural strategies and discourse-building strategies obtained.

The commodity terms of trade shocks are important to explain the macroeconomic fluctuations of oil-exporting countries. Oil price shocks are the main source of terms of trade variability in oil-exporting countries. Given the significant effects of terms of trade fluctuations on domestic macroeconomic variables, understanding the transmission and propagation of terms of trade fluctuations is crucial in the design and conduct of macroeconomic policies in oil-exporting countries. An appropriate monetary policy can help to stabilize these shocks.This study evaluates three alternative monetary policy regimes’ responses to commodity terms of trade shock and export sector productivity shock using a New Keynesian Dynamic Stochastic General Equilibrium (DSGE) model. In this study, the model has been developed based on Hove et al. (2015), Monacelli (2005) and Cashin et al. (2004) for the economy of Iran. This theoretical framework characterizes a small open oil-exporting economy by two domestic sectors: traded sector and the non-traded sector. In the non-traded sector, prices are sticky according to Calvo`s (1983). There is one external sector which is the rest of the world. Also, incomplete exchange rate pass-through is introduced via nominal rigidities on import prices. This model has been developed to evaluate the response of different monetary policy regimes to commodity terms of trade shocks and export productivity shocks. Based on empirical evidence such as Shajari et al (2015), pass-through is assumed to be incomplete in the model.Since oil exports account for a high percentage of export earnings and finance a significant portion of government spending in Iran, the analysis of different monetary policy responses to commodity terms of trade shocks in an oil-exporting country, like Iran, must be important.  This study aims at investigating the dynamic effects of commodity terms of trade shocks and evaluating the performance and the stabilization properties of various simple monetary policy rules for oil-dependent economies. Three alternative monetary policy rules have been considered: CPI inflation targeting (CIT) rule, non-traded inflation targeting (NTIT) rule, and exchange rate targeting (ET) rule. Different monetary policy rules are assessed based on the degree to which they minimize the volatility of selected macroeconomic variables as reflected by their impulse response functions.

The model is calibrated to match the key features of the Iran economy using data for the period 1991: Q1 to 2017: Q1. The series of Oil production and Non-oil production is obtained from the “Statistical Centre of Iran” The series of Interest rate and oil prices are obtained from the “Central Bank of Iran”. The series of production in the oreign intermediate sector and foreign intermediate good price are obtained from the “Archival Federal Reserve Economic Data”[1]. Other parameters were obtained from previous studies on the Iran economy and business cycle literature in the world. The model is calibrated to the Iran economy. The model is solved numerically and the parameter choices for the model are summarized in Table1.

The comparison of responses under different monetary policy regimes shows that CPI inflation targeting is superior to the NTIT and ET targeting when commodity terms of trade shock happen. For export productivity shock, the performance of the CIT rule is better than other examining monetary policy rules. Also, the real exchange rate, which is defined as a function of commodity terms of trade and productivity differentials, makes it possible to examine the role of export productivity shock on macroeconomic variations and test the existence of Balassa- Samuelson effect. Impulse responses to commodity terms of trade shock show increasing in total output and CPI inflation and decreasing in consumption and nominal exchange rate under three policy rules. The analysis also displays that commodity terms of trade shock induce lower responses of macroeconomic variables under CPI inflation targeting than under non-traded inflation targeting and exchange rate targeting. Under the export sector productivity shock, exported output increases while non-traded output decreases, possibly reflecting the symptoms of the Dutch disease. On the other hand, the dynamic responses of selected macroeconomic variables suggest the presence of the Balassa-Samuelson effect where an increase in productivity in the traded sector appreciates the real exchange rate and increases the prices of non-tradable goods through wage equalizations.

overall, when the economy is experiencing commodity terms of trade shocks or exported productivity shocks, CPI inflation targeting is relatively better than exchange rate targeting and non-traded inflation targeting in macroeconomic stabilization.

The aim of this study was to explain the loyalty history of education staff using fuzzy logic.

The research was conducted in terms of applied purpose and in a combined (quantitative-qualitative) way. The statistical population consisted of 1200 staff members, teachers and directors of education in Qazvin province, based on the Cochran's formula, 292 people were selected as the sample size in the fall of 1399. In order to collect data, two methods were used: documentary (library, dissertation, Internet) and field (completion of a researcher-made questionnaire) and in interviews, indicators such as gender, education, age were considered. Formal validity and reliability were obtained by Cronbakh's test. Data were analyzed using inferential factor analysis (confirmatory factor analysis and structural equation modeling) with MICMAC software. PLS software was used. Finally, in order to provide the desired combination of model dimensions in order to optimize employee loyalty, mathematical modeling method was used.

The results of the qualitative section showed that 23 components and 47 indicators in the form of 5 dimensions extracted had a positive effect on the loyalty of education staff. The results of a small part showed that the model had a good fit (GOF = 0.39) and according to the fuzzy modeling method, if a proper relationship is established between the personal, professional and organizational dimensions, employee loyalty will be increased by 58%.

Creating an appropriate relationship between the components of personal, job and organizational conditions can predict the needs and values ​​of employees in government organizations and improve their motivation, commitment and dynamism.

The underground economy is one of the problems of developing oil economies such as Iran. It is argued that the underground economy can hinder financial development, and from the reciprocal view, financial development can reduce the size of the underground economy. Accordingly, the present study examines the causality between financial development (bank-oriented and stock-oriented) and the volume of underground economy in the Iran's economy by the Hsiao causality method during the period of 1350-1396. In this study, the MIMIC approach was used to calculate the underground economy index in Iran. Based on the results, in the Iran economy before the oil shock of 1352 and also the period of revolution and war (1356-1368) has had a low level and decreasing trend in terms of underground economy. But for the rest of the years, the trend has been roughly incremental. According to the Hsiao causality test, the underground economy is not the cause of the bank based financial development-and stock based financial development; on the contrary, bank based financial development-and stock based financial development are the cause of the underground economy. This means that with financial development, part of the underground economy can be controlled in the Iran economy.