سید محمد رضا حسینی پور

The purpose of this research is to investigate the impact of organizational culture on innovation capability with the mediating role of knowledge management in the companies under the Gohar Rosh Sirjan Group.Research

The method of this research was descriptive and correlational. The statistical population consisted of 2121 employees of the companies under the Gohr Rosh Sirjan Group in 1401, and according to the table of Karjesi and Morgan, a sample of 322 people was selected as a stratified random sampling proportional to the sample size. The measurement tool included three questionnaires of organizational culture, innovation capability, and knowledge management. Descriptive statistics (prevalence, mean, median, mode, skewness, kurtosis) and inferential statistics (structural equations using Lisrel 8.8 software) were used for data analysis.

The results showed that organizational culture has a significant effect on innovation capability with the mediating role of knowledge management. Organizational culture has a significant effect on the ability to innovate and manage knowledge, as well as knowledge management on the ability to innovate.

The relationship between organizational culture, knowledge management, and innovation capability can provide useful insight for managers in the field of strong cultural development, promotion of efficient knowledge management practices, and ultimately improvement of the innovation capability of the entire organization.

Introduction:

 Banks are the main suppliers of financial resources to the real sectors of the economy (agriculture, industry and services) and in addition to their main function, the main motivation of banks is to equip and allocate resources and provide diverse services to customers, generating income and profit as other economic institutions. The purpose of this study is to present a mathematical model based on mathematical planning models to find the best combination of facilities and deposits of Keshavarzi Bank that will bring the most profit for the bank.

In this paper, the model is estimated by using of 2 programming

linear and fuzzy linear. To collect data, we used the available information in Agricultural (keshavarzi) bank of Kerman province.

Due to the results, linear programming is more appropriate. So that the profit from payment of facilities using linear planning has increased by two percent (45462 million Rials) compared to fuzzy planning and by 11 percent (288790 million Rials) compared to the current allocation of the bank.

The results suggest that using linear programming could help the managers for allocating resources so that higher yields would be achieved. Linear programming methods are top priority compared to other method.

Banks are financial institutions that must create resources and expenditures through their activities that can continue to increase the efficiency and effectiveness of their financial resources and expenditures. The main motivation of banks in the optimal allocation of resources and varietal services providing to customers like other economic institutions is income creating and profit earning. The aim of this study is to present a mathematical model according to mathematical programming models also to weave the Keshavarzi bank and in the year of 2016 which is the best year of combination of Resources (deposits) and Consumption (facilities) that while customer satisfaction, the most profitable for banks are to be followed. In this research, the sample size is equal to the statistical population and including all branches of Agricultural Bank of Kerman province. In this paper, the model is estimated by using of goal programming method.To collect data, we used the available information in Keshavarzi bank of Kerman province and some Win QSB software was used for analyzing this data. The results of the research showed that the profit from the goal programming method is 10.88% (288790 million Rials) more than the profit allocation in branches of agricultural bank of Kerman province. Therefore, it is recommended to use the results of this method to maximize bank profits.

The aim of this study is to present a mathematical model according to mathematical programming models also to weave the agriculture bank and in the year of 2016 which is the best year of combination of loans and deposits that while customer satisfaction, the most profitable for banks are to be followed. In this research, the sample size is equal to the statistical population and including all branches of Agricultural Bank of Kerman province. Also the model is estimated by using of 3 programming linear, goal and fuzzy. Some soft wares like Excel and Win QSB were used for analyzing this data. Due to the results, linear and goal programming are more allocation and the proceeds of the grant increased by using linear and goal programming than fuzzy programming and the bank current allocation. The results suggest that using linear and goal programming can help the managers for allocating resources so that higher yields will be achieved.

The aim of this study was to identify the indicators of competitive ability in an electronic banking system. To conduct the research, a qualitative method and semi-structured interviews were used. The data were collected from forty electronic banking experts and managers in the Iranian banking system. Then, the collected data were analyzed with open coding and axial coding methods. The results of the analysis were used to identify the primary indicators of competitive ability in the electronic banking system. In the next step of this research, Delphi technique was used to consult electronic banking experts about the primary indicators derived from the semi-structured interviews and the theoretical literature. In the final stage, seven indicators were confirmed. They include quality of services, improvement of service channels, service innovation, use of new technologies, advertisement, customer-orientedness, and bank reputation.

The purpose of this study was to design a structural model of the effect of electronic banking on increasing the competitive ability of banks(five selected banks) . The method of research is descriptive survey. A questionnaire was used to collect data. The statistical population consisted of directors, deputies and experts of offices and banks of Tehran (five selected banks). 269 of them participated in the research. A structural equation model(SEM) by Lisrel software was used to analyze the data. The results showed that culture, perceived security, ease of use, trust, website quality, privacy and innovation have a positive and significant effect on the competitive ability of banks. However, the effect of speed on competitive ability of banks was not significant. Overall, the results of the role of electronic banking on the competitive ability of banks were confirmed. Therefore, it can be concluded that e-banking leads to increase bank's competitive ability.
Today, The issue of competition between firms­ is the subject of discussion among managers,politicians and academics(Peña-Vinces& Urbano,2014). Competitive ability refers to the superior position of a company compared to its competitors in that industry . When a company has more profits than other companies ­in the same industry , it be known as a company with a competitive advantage in this market(Bleoca,2014) .Without a competitive ability, the company will have little economic justification and will be financially in decline) Kim&Oh,2004 (.
There is Strong competition among commercial banks .It means even­ Most innovative products and services are copied by others. Then bank opportunity to protect its competitive ability,will be declined(Al-Alak,2014(. Electronic Banking is one of main factors that facilitates banks competitive ability(Joseph & Stone,2003).
Case study :For measuring the variables of the research, 300 questionnaires containing 42 questions were distributed among managers, assistants and experienced experts in the field of E-Banking Tehran city’s selected banks.
This is a descriptive- correlation study modeled based on structural equations model. Research statistical population included 1000 bank experts in tehran. Research sample of 278 experts were randomly selected through stratified random sampling method using Cochran formula (1997). Data were collected through questionnaire. Validity of the instrumentations was verified through content validity, and confirmatory factor analysis, as well using SPSS. Once covariance errors were removed and fitness factors were examined, factor analysis was confirmed; further, reliability of research instrumentations was also obtained larger than 0.07 using Cronbach’s alpha test, indicating high validity of the questionnaires.
Discussion and The purpose of this study was to design a structural model for the effect of electronic banking on increasing the competitive ability of banks. The results of structural equation model showed that technology culture, perceived security, ease of use, trust, web site quality, privacy and service innovation have a positive and significant effect on competitive ability, but the effect of speed on competitive ability is not significant. Also, 70% of the competitive variance is explained by the research model.
As we observed in this study, the role of electronic banking on the competitive ability of banks were confirmed.Because seven factors of e-banking have a positive and significant effect on the competitive ability of banks. Therefore, it can be concluded that Electronic banking leads to increase bank's competitive ability.

The main purpose of this research is study of cause and effect relationships among budget deficit, money supply and inflation rate in Iran over the years 1981-2015. For this purpose has been studied the long run and short run relationship among budget deficit, money supply and inflation rate by using vector autoregressive econometrics approach (VAR) and vector error correction model (VECM). Then in order to study causality relationship among budget deficit, money supply and inflation rate during the period under review was used granger causality test and for this purpose has been used eviews software.
The results of long run normal vector showed money amount and budget deficit have had positive and significant effect on inflation rate during the period under review. Also based on the results of granger causality test there is a direct or indirect relationship among all of the variables in the model. Based on these results, money supply causes inflation and budget deficit causes money supply and a continuous increase in budget deficit leading to more money supply and money supply leading to more inflation. On the other hand there is a two way causality relationship between budget deficit and inflation.

There has been an attempt, during this research, to study the relationship between the factors of cash flow statement with the shareholder's interests. To this end, the data of 73 companies out of the ones listed in Tehran Stock Exchange were selected through systematic sampling. In addition to panel data analysis and multivariate regression model for the fiscal years 2005 to 2015, the correlation test was run between 8 of cash flow statement factors and the shareholder's interests through synthetic and analytic models. Findings reveal that out of the eight factors, the net cash fluctuations during the year and the net cash flow from financing activities demonstrated no significant correlation. Results also showed that there is a positive correlation between the three indices of net cash flow from investing activities, cash outflow from investing activities, and cash out flow from financing activities on the one hand, and achievable benefit for the investors on the other. However, there is a negative correlation between the cash flow from operating activities, cash inflow from investing activities, and cash inflow from financing activities on the one hand and shareholders’ interests on the other.