Cellular phone is one of the most profitable industries in the world and especially in middle east regions. There is a growing competition among different firms in this market and the market share is exchanged very quickly depending on the features and equipments introduced. Customer satisfaction plays an important role on retaining present marker share or absorbing new customers. In this paper, we present an empirical study to measure the effects of different factors influencing customer satisfaction such as the effect of perceived expectations on perceived quality and the effect of perceived expectation on perceived value. The survey is performed among customers who live in Tehran, the capital city of Iran and it shows there are some meaningful and positive relationship between perceived expectations and other factors such as perceived quality and perceived value. There is also positive relationship between perceived quality and perceived value. perceived expectation and customer satisfaction.

Information technology (IT) plays an important role on developing different markets. Today, people can easily purchase goods from different stores using varieties of IT based facilities such as POS, ATM, etc. These devices help customers literally carry significant amount of money without bothering about any possible threat. In this paper, we study the impact of IT on developing businesses located mainly on free zones or in the borders of countries. We have distributed 300 questionnaires consists of 35 questions among different people and build structural equations using 28 variables. The results are analyzed using LISREL software package and they are grouped in five different groups including management, social and cultural, organizational, technical and investment factors. Chi-square represents a relatively high value, which means the null hypothesis can be rejected when All t-student represent meaningful values when the significance level is five percent. The results indicate that all these factors influence IT development, significantly.

For many decades, women were discriminated against men for paying less in equal job positions. Most high-level positions were assigned among men and women were considered in lower social position. However, during the past few decades, there have been tremendous efforts to provide equal job opportunity among people with different gender and race in various countries. The proposed study of this paper attempt to investigate women & apos; s position in terms of two aspects of economic and education for the people who live in a city of Esfahan, Iran. We design a questionnaire and distribute among 880 people who are randomly chosen from a population of 441782 residence. The result of our survey confirms that Iranian women are placed well and job placement of the Iranian women is low. The second part of our survey concludes that Iranian women were quite forward and there will be definite reasons for drop out.

Nowadays, wage and salary system form the most important issues in any society, and its phenomenon takes dimensions with an expansion of a public organization and NGOs. Organizations provide employees satisfaction through different pay programs, which force them to work down more with higher quality. In this paper, we consider a survey of the payment system in an Iranian university as a case study. The population of this study consists of the existing documents, observations, working managers, supervisors and experts. This study is carried out from the desired community based on the data collected for a period of 18 months and the sample size is about 97 people. We use descriptive statistics to analyze the descriptive data. We also use the one-sample Kolmogorove-Smirnov test, t-test and Friedman test for the questions. The results of the existing payment system show that there is no any good condition and the employee & apos; s attitude towards this system are negative based on the collected data. Finally, some suggestions are recommended to improve the existing situation.

Emergency medical services (EMS) stations reduce mortality and irreparable damage from injuries through the timely treatment of patients. After performing the initial measures at the scene of the accident, if necessary, they transfer the patient to the hospital. In such cases, the goal is to save human lives. Thus, suggestions and solutions that can improve the performance of these centers are very welcome. One of the most important parameters in providing high-quality EMS is the timing of these services. Therefore, the location of these centers plays a key role in diminishing the response time to demand. In that regard, the location of these centers in cities, especially large and densely populated cities, is very important. In this study, in order to answer the mentioned questions, a linear mathematical model based on the maximum expected coverage model is presented. In this model, by considering the relative coverage conditions, the best locations in the city, as well as the coverage of demand points and distance traveled by the vehicles will be obtained. Furthermore, robust optimization (RO) is used to provide better situations for the operation of the model. Finally, according to the results, it is found that the proposed model has a better resolution time than nonlinear models and is also able to solve cases with high input data. The proposed model is implemented in District 10 of Tehran, Iran.

In this study the degradation of an azo dye, Methyl Red, which is used in textile industry, using Fenton reaction was studied and optimized by a chemometrics method. Fenton oxidation is one of the Advanced Oxidation Processes (AOPs), in which hydroxyl radicals are generated from Fenton’s reagents (Fe2+, H2O2). The effects of various experimental parameters in this reaction were investigated using Central Composite Design (CCD) method. The experimental design was done at five levels of operating parameters. 28 experiments, with 4 factors and 5 levels for each factor were designed. These factors (or variables) include [Fe2+], [H2O2], [oxalate] and the reaction time. A full-quadratic polynomial equation between the percentage of dye degradation (as the response) and the studied parameters was established. After removing the non-significant terms from the model, response surface method was used to obtain the optimum conditions. The optimum ranges of variables were: 0.1 - 0.4 mM for [Fe2+], 13.5-22 mM for [H2O2], 1.5-2 mM for [Oxalate], and 115-125 min for the reaction time. Also the results of extra experiments showed that these optimized values can be used for real samples and yield to high values for the response.

Many supplier selection problems are involved with various criteria such as quality of supplier, price, delivery time, etc. This paper presents a survey on the implementation of using different multi criteria decision making (MCDM) methods for supplier selection problems. The reviews covers recent advances of MCDM techniques such as data envelopment analysis (DEA), analytical hierarchy process, etc. over the period 2000-2012. The review also reveals that nearly 60% of the applications are associated with business unit, 15% is related to economy, 9% is devoted to service and development and 8% is dedicated to research and development. In our survey, DEA has become the most popular technique for supplier selection problem followed by Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Analytical Hierarchy Process (AHP).

Social media are an integral part of modern society and they have become a big industry especial-ly after the emergence of social medias on Mobile devices. It has been a while that most Small and Medium Enterprises (SMEs) have used social medias to promote their business activities. Social medias also supply different facilities for SMEs to help them explore their services on the market. This is more evident for those SMEs whose activities are more project based. The pur-pose of this paper is to find out important factors influencing on building brand using social me-dias for SMEs. The study designs a questionnaire in Likert scale and distributes it among 238 of SMEs’ experts in food industry in city of Tehran, Iran. Using principle component analysis, the study has determined that acquiring knowledge from social media, market approach in mass me-dia, market reaction approach in media, strategic mass media capability and social status influ-ence the most on building brand in SMEs.

This study investigates the quantitative relationship between knowledge based view (i.e. empowering employees, promoting confidence, coding rules) and sustainability competitive advantage (i.e. market, customer, financial) within the banking industry of Iran. A valid research instrument was utilized to conduct a survey of 150 top- and middle-level managers from Mellat bank of Iran. With a response rate of 81.3 percent, 122 questionnaires are returned; the number of valid and usable questionnaires was 101. In order to determine validity of questionnaire, the content validity was used and Cronbach's alpha was used to determine the reliability of the questionnaire (KBV questionnaire 0.886, SCA questionnaire 0.843). Utilizing the structural equation modeling, and after a series of exploratory and confirmatory factor analyses, it was found that KBV had the greatest effect on the market centered SCA, while it had the least influence on the customer centered.

In traditional spectrophotometric determination of stability constants of complexation, it is necessary to find a wavelength at which only one of the components has absorbance without any spectroscopic interference of the other reaction components. In the present work, a simple multi-wavelength model-based method has been developed to determine stability constants for complexation reaction regardless of the spectra overlapping of components. Also, pure spectra and concentration profiles of all components are extracted using multi-wavelength model based method. In the present work spectrophotometric titration of several cationic metal ions with new synthetic ligand were studied in order to calculate the formation constant(s). In order to estimate the formation constants a chemometrics method, model based analysis was applied.