In this paper, we present an empirical study to detect important factors, which could increase the number of moviegoers. The study distributes a questionnaire among different people at four age groups including 35.2% (men), and 64.8% (women), most of them are single (between 21 to 30 years) living at 3- to 4-member families, holding BA degree with 4 to 7 million Rials monthly salary. Inferential statistics tests, including Kolmogorov–Smirnov, binominal or ratio, Chi Square and Friedman, show that type of story, genre and artists, casts are considered as the most important factors in selection of film while quality of sound, seat comfort, ventilation of cinema hall are regarded as the most important factors in selection of cinema. In addition, cinema is not predominant pastime or hobby of individuals during holidays and existence of more attractive pastimes than cinema is the most important factor, which hinders individuals from going to cinema. Individuals go to cinema fewer than three times a year, primarily during the afternoon of holidays at the weekend. TV teasers and word of mouth advertisements are the most significant publicity tools for those individuals who intend to go to cinema halls. These two factors, i.e. TV teasers and word of mouth advertisements, are the most significant sources of studying individuals for the selection of film. Individuals almost select their favorite movies before going to cinema and if ticket is finished at the box office of cinema, they suspend watching film in another time and finally, they re-plan watching film. It should be noted that satisfaction of individuals from cinema is much more effective than their satisfaction from film.

Information technology (IT) plays a vital role on developing different markets. In this paper, we study the impact of IT on developing businesses located mainly on free zones or in the borders of countries using analytical hierarchy process. The proposed study of this paper gathered the relative importance of five important factors influencing IT implementation. There are 12 experts and we use pairwise comparison to gather their insight and using Expert Choice we implement AHP for ranking the factors. The results indicate that management is the most important factor, followed by cultural and social items. The other factors including technical, investment and organization items are in lower degree of importance.

E-procurement risks has emerged as an important issue for researchers and practitioners because mitigating supply chain risk helps improve firms’ as well as supply chains’ performance. E-marketplaces have been steadily growing and there have been significant interest in e-business research. There are different risks and uncertainties involved with E-marketplaces, which jeopardizes the sector but we have had a large amount of hype and the business still continue to grow. The primary aim of this study is to identify E-procurement risks and evaluate them using a fuzzy AHP framework. We contribute E-procurement risk by identifying 13 critical criteria and determine four important ones including the extent of acceptable information, interrelationship risk, lack of honesty in relationships and product quality and safety for evaluating suppliers’ risk.

The purpose of this paper is to investigate the impact of organizational culture on knowledge management. To learn more about the organizational culture, we choose five variables including team-work, learning, discussion, management support and communication. The propose study consists one main hypothesis and five sub hypotheses and it is performed among all employees and management team of East Azarbayjan power supplier. The population of our survey includes 1482 people and a sample of 488 people is chosen in this survey. A questionnaire is distributed among all members and Cronbach Alpha is 0.83, which yields highly reliable results. The data are analyzed using SPSS software package with different non-parametric methods and the results confirm all hypotheses in our survey. According to the results of our survey, culture and communication play important role for the success of an idea and knowledge creation. Negotiation, top management support and learning style are second most important factors influencing knowledge management.

Technology transfer has been a very frequent activity in the industrial world nowadays. Technology valuation, and in particular technology pricing, has played a considerable role in these transactions, in spite of a huge amount of limitations in the pricing methodologies applied. Making a sound, traceable and reliable means for applying the price evaluation procedure, seems as a technological requirement to be traced for. The objective of delivering this paper is to introduce a new numerical technology pricing method to provide the two transacting parties a unique compromised price. A three-dimensional model for technology pricing is proposed and The TOPSPS algorithm has been utilized to select the most similar technologies to the intended one and the constructed scoring system is applied to calculate the final technology price accordingly.

Job satisfaction plays an important role on having sustainable growth in any business units. When an unsatisfied employee leaves, the business unit not only loses an employee but also it loses an intangible asset. Therefore, it is necessary to evaluate overall job satisfaction occasionally and provide some guidelines for improving work conditions. The proposed study of this paper uses five questionnaires, which are associated with job motivation, job satisfaction and organizational commitment. We have selected 25 sample employees who work for the case study of this research located in west region on Iran. Using some statistical tests we analyze the data and the preliminary results indicate that employee have an average job satisfaction. The results indicate that there are some positive relationships between job satisfaction and other factors including wage increase, psychological needs, physical equipments, entertainment equipment and work-team.

We present an empirical study to study the effects of different factors on juvenile delinquency. The investigation distributes 100 questionnaires among people who are involved with crime and analyzes their feedbacks. There are five hypotheses in our survey and we look to see whether family conditions, religion, economical conditions, media and physical and psychological characteristics play important role on juvenile delinquency in Iranian society. The results shows that while family conditions, physical and psychological characteristics play important role on juvenile delinquency, other factors do not statistically have any impact on juvenile delinquency. The study suggests that a better family condition could help reduce juvenile delinquency and people could guide their children through better consultations.

Violence against women has been one of the most controversial issues in modern societies. During the past few decades, there have been tremendous efforts on providing supports for women against any kind of family violence and dispute. The proposed study of this paper attempts to investigate women & apos; s position on domestic violence. We design a questionnaire and distribute among 880 people who are randomly chosen from a population of 441782 residences who live in city of Esfahan, Iran. The result of our survey confirms that Iranian women experienced different types of violence in their lives. The study also suggests some guidelines based on an adaptation of advices in other countries in an attempt to reduce the rates of crime, significantly.

Stock market prediction is one of the most important interesting areas of research in business. Stock markets prediction is normally assumed as tedious task since there are many factors influencing the market. The primary objective of this paper is to forecast trend closing price movement of Tehran Stock Exchange (TSE) using financial accounting ratios from year 2003 to year 2008. The proposed study of this paper uses two approaches namely Artificial Neural Networks and multi-layer perceptron. Independent variables are accounting ratios and dependent variable of stock price , so the latter was gathered for the industry of Motor Vehicles and Auto Parts. The results of this study show that neural networks models are useful tools in forecasting stock price movements in emerging markets but multi-layer perception provides better results in term of lowering error terms.

During the past few years, there have been increasing discussions on the impact of brand in business units. Many researchers have concluded that the best way to increase sales is to introduce the brand in society. In this study, we consider the impact of brand identity on increasing product loyalty in one of Iranian dairy products. The proposed study is implemented in city of Tehran by choosing 475 people. The proposed model is analyzed using structural equation model and factor analysis. The results indicate that there is a direct positive relationship between brand and loyalty and a powerful brand could help setup a long-term relationship between customer and firm, which leads to brand loyalty. In other words, brand identity influences perception value, customer satisfaction, brand trust while perception value influences customer satisfaction and brand trust. In addition, customer satisfaction influences brand trust, brand trust influences customer loyalty and finally brand identity indirectly influences customer loyalty.