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- E-ISSN2288-2766
- KCI
E-ISSN : 2288-2766
Vol.3 No.3
Abstract
The purposes of this research are to develop a measurement of Islamic religiosity and applying these measurements to examine the relationship between religiosity and selection of the Islamic bank. Literature searches and in-depth interviews are used to obtain the statement item to build measurement. Furthermore, result of the religiosity measurement will be used to study the relationship between religiosity and the selection of the Islamic bank. Population of the study is Muslim who has bank(s) account. A total 375 questionnaires were distributed to the three groups of bank customers (125 respondents in each group). This research has successfully developed a measurement of religiosity, which is called Islamic Religiosity Scale (IRS). On the one hand, the study indicate that religiosity plays a significant role on the decision of customers to choose Islamic banks, because the degree of religiosity of Islamic bank customers is higher than conventional bank customers. Nevertheless, on other hand, this study also revealed that religiosity is not the only factor that influences customers to selecting the Islamic banks, because the degree of religiosity of Islamic bank customers do not differ significantly with customers who hold accounts in both bank.
Abstract
wind speed forecast is a crucial and sophisticated task in a wind farm for planning turbines and corresponds to an estimate of the expected production of one or more wind turbines in the near future. By production is often meant available power for wind farm considered (with units KW or MW depending on both the wind speed and direction. Such forecasts can also be expressed in terms of energy, by integrating power production over each time interval. In this study, we technically focused on mathematical modeling of wind speed and direction forecast based on locally data set gathered from Aghdasiyeh station in Tehran. The methodology is set on using most common techniques derived from literature review. Hence we applied the most sophisticated forecasting methods to embed seasonality, trend, and irregular pattern for wind speed as an angular variables. Through this research, we carried out the most common techniques such as the Box and Jenkins family, VARMA, the component method, the Weibull function and the Fourier series. Finally, the best fit for each forecasting method validated statistically based on white noise properties and the final comparisons using residual standard errors and mean absolute deviation from real data.
Abstract
The authors consider, that the effectiveness of the government’s activity, the improvement of decisions’ quality depends on implementation of modern innovative technologies through activation the direct and feedback connection between public authority system and the business-community, through increasing the level of their collaboration by participating in solving main social problems and discussing innovative projects (initiative) according questions about socio-economic development of the country, improving the system of the state and local government in the Republic of Kazakhstan.
