خدمات

The present study has been carried out with the aim of presenting a content marketing model with an emphasis on customer loyalty to the name and brand of products and services. This study is a mixed and combined of two types of meta-composite study methods and the Delphi technique in the field of identification and some deal structural equations and confirmatory factor analysis, using the "meta-composite" method to identify the four components of the content marketing model (marketing objectives, communication with customer and competitors and the centrality of customer data, value orientation and appropriateness of marketing content and the centrality of technology in content marketing) as well as customer loyalty to the name and brand of products and services and its eight dimensions (customer satisfaction, customer attitude, customer support, product quality) as well as customer loyalty to the brand of products and services and its eight dimensions (customer satisfaction, customer attitude, customer support, the product and service quality, product and service pricing, customers' trust, customers' mental norms and customer's desire) and confirming the confirmatory factor analysis of these variables, and the structural equation model was created to investigate the relationship between content marketing and customers' loyalty to the brand of products and services, and a content marketing model was designed based on customer loyalty to the name and brand of products and services, by creating relationship among these variables.

Considering the unique economic circumstances in Iran, the exchange rate is a crucial determinant of the Iranian economic state. Over the past three decades, the exchange rate has exhibited significant fluctuations. Given that, previous studies investigating the impact of these fluctuations on the trade balance have primarily focused on overall sectors or international comparisons, In contrast, this study concentrates on specific sectors including agriculture, industry and mining, oil and gas, and services. The primary aim of this research is to analyze the asymmetric effects of the real exchange rate on the trade balance in all four sectors, as well as the overall trade balance of Iran.To achieve this objective, this study utilizes linear and non-linear autoregressive distributed lag methods (ARDL and NARDL methods) to examine the short-term and long-term effects of the real exchange rate on these trade balances. The linear ARDL model is employed to explore symmetric effects, while the non-linear ARDL (NARDL) model is used to evaluate asymmetric effects.The NARDL estimation model indicates that the exchange rate is only significant in the short term and long term in the agriculture sector. This suggests that the real exchange rate has an impact on the trade balance of the agricultural sector. Additionally, the real exchange rate shows a significant non-linear relationship with almost all sectors in the short and long term. The results demonstrate a positive and significant relationship between an increase in the effective exchange rate and the trade balance in both the short and long term. Moreover, the trade balance reacts more to positive shocks in the effective exchange rate than negative shocks

The main goal of this research is to examine and test the asymmetric effects of monetary policy on the production of Services. For this purpose, hidden cointegration analysis and Autoregressive distributed lag (ARDL) approach in Iran's economy have been used in the period from 1353 to1399.Hodrick Prescott filter was used to extract the positive and negative impulses of the liquidity variable. Then, the effects of positive and negative impulses of the variables were investigated separately on the positive and negative impulses of the production of this sector with latent cointegration analysis. In the last step, the long-term relationship between the variables is checked and the long-term coefficients are calculated using the auto-regression model approach with non-linear distribution intervals and the bounds test. The results showed that there is a hidden co-accumulation between the time series of M2 and production in the industrial sector.The results showed that there is a hidden cointegration between the time series of M2 and production in the Services sector. So that the positive components of the M2 and production in this sector have a long-term relationship with each other, as well as their negative components. Also, the effect of the positive shocks of M2 is greater than the negative shocks of this variable. Therefore, the existence of asymmetry in monetary policy was confirmed.

Today, the survival of organizations without a customer is considered impossible and the customer is known as the philosophy of the organization. Accordingly, the necessity to pay attention to the wants and needs of this key element and to identify the factors that cause customer satisfaction is not hidden from nobody. Hence, customer orientation has become one of the biggest organizational concerns today. Therefore, the present study seeks to find prominent dimensions that affect customer satisfaction and after searching for these factors, examines the impact of each of them and ranks these key dimensions based on their importance. The number of samples in this study is estimated 322 according to Morgan's formula. In this study, at the statistics section, a questionnaire was used to collect data and the Wilcoxon test was used to analyze the data. In addition, Friedman test was used to rank the factors affecting customer satisfaction. The results obtained from the hypothesis test confirm all five research hypotheses. This means that tangible factors affect customer satisfaction with the quality of services in Tehran Housing Bank, the empathy between bank employees and customers affects customer satisfaction with service quality, the bank's guarantee affects customer satisfaction with the quality of services in Tehran Housing Bank. It is effective, the bank's responsibility affects the customers' satisfaction with the quality of services in Maskan Bank, the physical and appearance dimensions have a positive effect on the customers' satisfaction with the service quality of Maskan Bank in Tehran. Also, the results indicate the need to pay more attention to tangible factors in Maskan Bank and the strength of this bank in gaining public trust.

Predictable and unpredictable delays in the national accounts data dissemination in Iran highlight the nowcasting of the economy’s state with using timely and high-frequency data. The large share of service sectors in GDP make forecasting of this sector more important. This paper seeks to answer the question of whether the status of the service and transportation sector can be predicted by using the vehicle traffic count dataset. In this regard, daily data on 2590 points of the country's roads from 2015 to September 2021 is used. In addition to using a simple aggregation method to construct the index, Artificial Neural Network model (ANNs) and Bayesian Model Averaging (BMA) are also used. The results show that the estimation indices extracted from these data have less forecast error than the benchmark models (ARMA) and can represent changes in both services and transportation sectors. The comparison of different methods of index construction shows the index extracted from Neural Network model has less error than other methods.

Although the service sector is viewed differently in the development process, it now forms the dominant sector of the global economy. Considering the importance of this sector as one of the major economic sectors and its impact on the development process of the country, this study aims to identify and prioritize the key cores of the service sector of East Azerbaijan province. This research is applied in terms of purpose and in terms of descriptive-analytical study method. In the first step, this research using the analytical model of MSA, identify and prioritize the key nuclei of the service sector of East Azerbaijan province. The results show that among the sub-sectors, the tourism sub-sector as the key core of the service sector. Then the SWOT method examined the strengths, weaknesses, opportunities and threats. of the key core extracted from the MSA analysis and at the end, the strategies presented using the Quantitative Strategic Planning Matrix (QSPM) method are discussed Are prioritized. The research findings indicate that tourism in East Azerbaijan province has not been properly positioned. To progress in this sector, defensive strategies (WT) at the provincial level should be prioritized, aiming to mitigate weaknesses and avoid threats. In this respect, forming an investment development task force in the province is recommended. This, in turn, helps develop tourism hubs, promote health tourism by governmental officials and entrepreneurs, invite domestic and foreign investors and provide investment facilities in the tourism sub-sector in the region

In this study, the reasons for the change in the share of employment between the two sectors of services and industry-mining during the years 1968-2016 have been investigated by using the method of Auto-Regressive Distributed Lag (ARDL). According to the theoretical foundations, low productivity of the services sector, increase in per capita income, high capital stock in the services sector, increase in population and rent of natural resources (revenues from oil and gas) are among the important variables that affect the raise in the share of employment in the services sector compared to the industry-mining sector. The results show that the low productivity of the services sector compared to the industry-mining sector and the growth of the total population are two main factors increasing the employment share of the services sector. Revenues from oil and gas exports along with other sub-variables such as raising the exchange rate and government spending have been other factors in raising the share of employment in the services sector. Contrary to the theoretical foundations, per capita income variables and high capital stock in the services sector is not the reason for the increase in the share of employment in the services sector compared to the industry-mining sector in the Iran economy.

Nowadays, the manufacturing and servicing organizations consider the level of customer satisfaction as an important criterion in measuring the quality of their work, and this trend is still rising. For the time being, because of the vital importance of insurance industry in the growth and prosperity of the countries’ economies, the need for it is inevitable. Accordingly, in this research, we investigate factors affecting the insured’s satisfaction of life insurance with the use of SERVQUAL Model in Novin Insurance Company. This model is one of the most popular models that is used in the service sector in the field of quality assessment. The methodology of the research is descriptive-survey. In this study, sampling method is simple random and the statistical population is the insured of life insurance of Novin Insurance Company in Tehran city and the number of samples is 361 people. The results have been examined using Structural Equation Model and the data have been analyzed using SPSS software and SMART PLS. The results of this research indicate that the insured’s satisfaction of life insurance of Novin Insurance Company has not been affected by the physical dimension and that other dimensions of SERVQUAL Model have affected the insured’s satisfaction of life insurance of Novin Insurance Company. Also, research results demonstrate that in four dimensions of SERVQUAL model there exists a gap between the expected quality and insured’s understanding of the quality of services and that the largest gap is related to empathy and the smallest gap is related to reliability