Free trade zones are important regions for development of business activities and detecting important factors for development of these regions plays essential role for development of economy. This paper presents an empirical investigation to determine the factors influencing the performance of the incentive polities of free trade zones in Iran. The study designs a questionnaire consists of 34 questions. Cronbach alpha is equal to 0.809, which is well above the minimum acceptable level. In addition, Bartlett & apos; s Test of Sphericity yields a Chi-Square value of 2392.31 with Sig. = 0.000. Using principal component analysis with rotation, the study has detected six important factors influencing on development of free trade zones including government support, financial capability, development strategy, product competition, infrastructure and consultation services.

This paper presents an empirical investigation to construct, to validate and to determine normalization factors associated with adolescents depression scale. The study is performed among 750 randomly selected guided and high school students, 364 male and 386 female, who live in city of Zanjan, Iran. Validity of Beck Depression Inventory (BDI), Validity of Simpson-Angus Scale (SAS) and divergence validity of the Coopersmith self- esteem coefficients are 0.72, 0.37 and -0.71, respectively. Result suggests that adolescents’ depression test is a reliable and valid tool for assessing depression, with utility in both research and clinical settings, counseling centers. In addition, the results of correlation test indicate there are some meaningful differences between depression levels of female and male students. In fact, our survey indicates that female students have more depression than male students do (F-value = 33.06, Sig. = 0.000). In addition, there are some meaningful differences between depression levels in various educational levels (F-value = 8.59, Sig. = 0.000). However, the study does not find sufficient evidence to believe there is any meaningful correlation between educational backgrounds and gender.

This paper presents an empirical investigation to detect important factors influencing earning adjustment on firms selected on Tehran Stock Exchange over the period 2006-2011. There are four independent variables associated with the proposed study of this paper including Proportion of shares owned by institutional investors, Return on assets, Profit change and Market value to book value. In addition, Investment restructuring is considered as control variable. The results of the implementation of regression analysis indicate that there was a reverse relationship between earning forecasted adjustment and two independent variables including size of firm as well as the ratio of market value to book value. However, Net profit has a direct and positive relationship with earning forecast adjustment.

In today' s extremely competitive environment, customers are the most important asset of any business and success of any organization depends on loyal customer retention. Therefore, it is important to learn more about different groups of customers and propose appropriate plans to take care of them. Customer segmentation is one of the most common methods to analyze customer’s behavior. The market can be divided into several smaller homogeneous groups, which helps organizations deliver targeted marketing techniques and provides optimized techniques for resource allocation. This paper uses the information gathered from Point of Sales (POS) in one of Iranian private banks and using two methods of K-Means and Kohonen, customers are clustered into four segments to detect the most profitable customers.

This paper presents an empirical investigation to study the effect of five factors on purchasing food product including brand and reputation, being green product producer, quality of packaging, taste of food products and materials used in products. The study designs a questionnaire consists of 20 questions, distributes 440 questionnaires among some consumers who were regular customers of food chains in west part of city of Tehran, Iran and managed to collect 225 properly filled ones. The study uses binomial test to verify five hypothesis of the survey and it has confirmed the effects of four variables including brand and reputation, quality of packaging, taste of food products and materials used in products. In our survey, there are some positive and meaningful correlations among different pairs of five variables of the survey where the highest correlation is between materials used in products and quality of packaging (r=0.606, Sig. = 0.000) and between Quality of packaging and being green product producer (r=0.545, Sig. =0.000).

In this paper, the problem of lot sizing for the case of a single item is considered along with supplier selection in a two-stage supply chain. The suppliers are able to offer quantity discounts, which can be either all-unit or incremental discount policies. A mathematical modeling formulation for the proposed problem is presented and a dynamic programming methodology is provided to solve it. Computational experiments are performed in order to examine the accuracy and the performance of the proposed method in terms of running time. The preliminary results indicate that the proposed algorithm is capable of providing optimal solutions within low computational times, high accuracy solutions.

Decision making about dividend payout is one of the most important decision that companies should encounter. Identifying factors that influence dividends can help managers in making an appropriate dividend policy. In the other side, companies’ dividend payouts over time and with a stable manner may influence on stock price, future earnings growth and finally investor & apos; s evaluation about owners & apos; equity. Hence, investigating the factors influencing dividend payout ratio is of high importance. In this research, we investigate the effects of various factors on dividend payout ratio of Tehran Stock Exchange (TSE) listed companies. We use time series regression (panel data) in order to test the hypothesis of this study. This study provides empirical evidences by choosing a sample of 102 companies over the time span of 2005-2010. The result shows that independent variables of free cash flow and profitability current ratio have negative and significant impact on dividend payout ratio; whereas, the independent variable of leverage ratio has a positive and significant impact on dividend payout ratio. The other independent ratio such as size of the company, growth opportunities and systematic risk do not have any significant influence on dividend payout ratio.

E-commerce has created significant opportunities for the corporations to understand the customers’ expectations, desired values, to increase their satisfaction and to expand their market share, more efficiently. The most significant activity of e-commerce is in the field of e-banking and financial services. Customer satisfaction index is a concept introduced for evaluating of the service quality in electronic banking. Considering the relative importance of customer satisfaction in e-banking, defining scientific criteria for the assessment of mentioned index is very important. So, a scientific and efficient method is always needed. The purpose of this paper is to use the fuzzy data envelopment analysis (DEA) techniques for evaluating and ranking the efficiency of online customer satisfaction index in eight economic banks in Iran. Here, we first study the fuzzy set theory and the method of traditional DEA in the same model. Next, the relationship between them were developed, which provide the fuzzy DEA model with qualitative data. The SPSS and GAMS software package were employed to analyze the data collected through questionnaires. The results show that three economic banks in terms of customer satisfaction in e-banking were located on the efficiency border and were quite efficient.

Most of the time, the government of the affected country cannot handle the entire relief operations. Under such conditions, international organizations act independently but are obliged to obey the law of the country. In this paper, we propose a dynamic multi-level programming where the affected country and international organizations dynamically change their roles, being leader or follower, according to a game. The application of the proposed model is investigated for a case problem where real data are utilized to design a network for humanitarian logistics during potential earthquakes. The advantages of using multi-level modeling against considering just one player's point of view are provided to guide decision-makers under a variety of conditions. The results show for the first three periods, the gov-ernment of the affected area cannot handle the demand for the rescue operation. Thus, the international suppliers act as the leader for the first three periods. However, by decreasing the demand for the rescue operation in the last three periods, the government can manage the evacuation operation properly.

Export plays an essential role for boosting the economy of developing countries. On the other hand, Small and Medium Enterprises (SMEs) are important part of any economy. Therefore, it is important to determine the effects of various factors influencing on development of export activities. This paper presents an empirical investigation to study the effects of customer segmentation factors on the performance of export activities of SMEs in Iranian food industry. The study selects a sample of 227 people who were involved in development of SMEs in city of Tehran, Iran. The study designs a questionnaire in Likert scale consists of 34 questions, Cronbach alpha and KMO are equal to 0.809 and 0.764, respectively, which are well above the desirable levels. Using principal component analysis, the study has determined that different factors including competitive structure, organizational strategy, customer’s studies and organizational factors influencing the most on promoting export activities.