Measuring risk of financial institutes and banks plays an important role on managing them. Recent financial turmoil in United States banking system has motivated banking industry to monitor risk factors more closely. In this paper, we present an empirical study to measure the risk of some private banks in Iran called Bank Mellat using Value at Risk (VaR) method. The proposed study collects the necessary information for the fiscal year of 2010 and analyses them using regression analysis. The study divides the financial data into two groups where the financial data of the first half of year is considered in the first group and the remaining information for the second half of year 2010 is considered in the second group. The implementation of VaR method indicates that financial risks increase during the time horizon. The study also uses linear regression method where independent variable is time, dependent variable is the financial risk, and the results confirm what we have found in the previous part of the survey.

The Internet & apos; s World Wide Web has become the prime driver of modern E-commerce that can be an important source of competitive advantage for most business organizations, especially small and medium sized (SMEs) businesses. In recent years, researchers have focused on e-commerce adoption both in the United States and other countries. This study examines the factors influencing e-commerce adoption among Malaysian SMEs. There are only a few studies which have examined the adoption of e-commerce among SMEs, its development, challenges, and future prospects. The results show that the major reason behind e-commerce non-adoption is that the organization is not ready to make that change because of external pressure and cultural reasons. Furthermore, organizational readiness strongly influences e-commerce implementation, and managerial support and financial, logistical, and technological factors weigh heavily in determining if an SME in Malaysia can pursue e-commerce implementation. The study is based on 100 samples taken from Cyberjaya. 100 sets of administrated questionnaires were sent and conducted. The data analysis shows e-commerce adoption was significantly influenced by its organizational readiness, perceived ease of use, and also perceived usefulness factors.

In this paper, we study the effect of different influencing factors on profitability of banking system in Iran for a panel data from 2001 to 2010. The sample of banking system includes ten different banks and two different types of internal and external variables are considered. Internal factors include ownership ratio, ratio of bank customers & apos; deposit to banks & apos; assets, ratio of total loans given to all assets, ratio of total interest free loans on total assets, ratio of interest free revenues on total revenue. External factors include economic growth, actual rate of interest and inflation rate. The proposed model of this paper uses econometrics method to investigate the proposed model and the preliminary results indicate that ownership ratio, ratio of total equity on total assets, along with inflation rate have negative impact on profitability. In addition, the ratio of customers & apos; deposit on total assets, the ratio of total loans on total assets and economic growth have positive impact on profitability.

Most financial managers believe that there are different factors hindering decision-making about the capital structure of a company. This hindrance is so that, in some financial management literatures capital structure is called the mystery of capital. Financial managers widely believe that financial leverage enjoys a noticeable status in managerial decision making as well as management of the framework of balance sheet. The primary purpose of this research is to present applications of equity modules and to study effective factors on such models on Tehran stock exchange. The study covers data over a period of five years from 2001 to 2005. The study analyzes and tests relevant data to firm’s debt ratio and corporate size as effective factors on cost-of-equity. The preliminary findings indicate that contrary to the commonly held belief in financial management theorems, debts ratio has the least effect on cost-of-equity. Nevertheless, the study suggests that the variant of company’s size has a meaningful relationship with cost-of-equity. To calculate cost-of-equity, CAPM, Gordon and return ratio methods are used. Findings show that CAPM has more validity compared with other varieties. On the other hand, the results indicate that there is a 95-percent probability proving that liquidity has a significant negative effect on financial leverage.

Experiences of different countries with efficient tax systems have shown that the high share of tax resources than non-tax sources could prevent many unpleasant economical events. In other words, an efficient tax system could ensure economic system against many different risks. Tax is also a primary source for developing economy used by government. In this study, we investigate the relationship between economic growth and tax among D8 countries using panel data from 1990 to 2009. The results indicate growth domestic product is the most important factor and these governments could collect more tax as the economic figures improve. The results of our survey show that an increase of one percent on GDP will increase taxable income for about 0.0014119 percent. The tourism has more impact since an increase of one unit in tourism & apos; s income; taxable income will increase for about 10.26257 units. One the contrary to other variables, unemployment has a negative impact on taxable income.

The aim of this paper is to present mathematical models optimizing all materials flows in supply chain. In this research a fuzzy multi-objective nonlinear mixed- integer programming model with piecewise linear membership function is applied to design a multi echelon supply chain network (SCN) by considering total transportation costs and capacities of all echelons with fuzzy objectives. The model that is proposed in this study has 4 fuzzy functions. The first function is minimizing the total transportation costs between all echelons (suppliers, factories, distribution centers (DCs) and customers). The second one is minimizing holding and ordering cost on DCs. The third objective is minimizing the unnecessary and unused capacity of factories and DCs via decreasing variance of transported amounts between echelons. The forth is minimizing the number of total vehicles that ship the materials and products along with SCN. For solving such a problem, as nodes increases in SCN, the traditional method does not have ability to solve large scale problem. So, we applied a Meta heuristic method called Genetic Algorithm. The numerical example is real world applied and compared the results with each other demonstrate the feasibility of applying the proposed model to given problem, and also its advantages are discussed.

The anthropometric data of student in selected tertiary institutions in Abeokuta, Ogun State, Nigeria was investigated and this was compared with some selected foreign countries. The study was to determine whether design improvement and further study is required in order to improve the conditions in Nigeria tertiary institutions. The anthropometrics measurements data were collected from 720 students of selected institutions. The data indicate a substantial degree of variability between the Nigerian tertiary students’ body and the foreign counterparts. Since most of the furniture in use in our tertiary institutions in Abeokuta, Nigeria were designed and constructed using the anthropometric data of students in foreign countries, there is need for anthropometric data of Nigerian students in the tertiary institution for the design and construction of furniture to suit them. The result is of great concern which could affect students in other institutions throughout Nigeria and could also pose a great risk of having back problem among students in Nigeria.
Statement of Relevancy: The chair and table used in Nigeria were designed with reference to the measurement of other countries. The database of the Nigerian students will be very useful parameter in guiding principle for the designing of future equipment to be used in classrooms, laboratories and lecture theaters of the institutions.

In this paper, we present an empirical investigation to measure the effects of various factors on operating loss in one of major Iranian banks called Bank Mellat. The proposed study of this paper uses a standard questionnaire and distributes it among 57 people who are mainly in top management levels. The questions are categorized into five groups including events related to the processes and methods, events outside the organization, related events within the organization and business disruptions and system failure. The results of our survey confirm that the loss associated with events related to the processes and methods increases operating risk meaningfully, the loss associated with business disruptions and system failure increases operating risk meaningfully and the loss associated with related events within the organization increases operating risk meaningfully. However, our survey do not confirm that the loss associated with events outside the organization increase operating, risk meaningfully. Finally, the preliminary survey of our analysis shows that there is not enough evidence to believe that the effects of business disruption and internal affairs are significantly different from the other event.

Knowledge management (KM) plays an important role on increasing organizational performance especially governmental agencies where there are different skills and knowledge within the organization. In this study, we present a study to investigate the effect of KM on having more customer oriented organizations. We use a standard questionnaire among 146 randomly selected employees out of 170 people who work for four governmental organizations in city of Chahbahar, Iran. The collected information is analyzed using structural equation modeling and by validating the results using Cronbach alphas of more than the minimum desired level of 0.70, we determine the positive relationships between KM and three other variables including customer absorption, customer retention and customer relationship management. The results of this survey reveal that an increase of one unit in KM yields almost the same increase in three mentioned variables accordingly. In addition, an increase of one percent in KM will increase customer orientation by almost one percent.

Social networks are online gathering places for people who would like to share their interests and activities. In this context, advertising through social networks is one of the most important topics in the field of marketing and brand that has been considered only in few studies. This study examines the impact of advertising on brand equity through social networks in the beverage industry (PepsiCo). This research study was to survey and collect data from the a standard questionnaire. PepsiCo brand, which is a well known beverage industry worldwide is selected for the proposed study of this paper. Thus, all customers of Pepsi products in city of Tehran are considered as statistical research community and a sample size of 385 people is selected for the proposed study. In order to analyze the data, we use structural equations method and certified factor analysis. The results of our survey indicate that advertisement on social networks has a positive impact in this industry. Based on the results of our survey, we realize that there are some positive relationship between social network advertisement and quality perception, brand loyalty, brand awareness and brand association when the level of significance is one percent.