Measuring liquidity risk plays an important role on any business unit especially financial organizations. Social security systems in most countries around the world are responsible to provide necessary requirements in many countries such as health care, pension plans, etc. Therefore, it is necessary to reduce any risk associated with these systems as much as possible. In this paper, we study liquidity risk in Iranian social security using VaR technique. The proposed model of this paper uses historical information for a fiscal year of 2008-2011. We first divide the information of each year into two groups of first and second half and using VaR technique analyzed whether there was any trend change in these two groups. The results of our survey indicate that the mean of VaR in the second half of the year is greater than the first half of the year. Therefore, we can confirm that VaR maintains an increasing trend over the time horizon. We also study the trend in liquidity using regression analysis for each year, separately and the results of our survey confirm that there was an increasing trend in liquidity over time.

Cross docking is one of the most important issues in management of supply chains. In cross docking, different items delivered to a warehouse by inbound trucks are directly arranged and reorganized based on customer demands, routed and loaded into outbound trucks for delivery purposes to customers without virtually keeping them at the warehouse. If any item is kept in storage, it is normally for a short amount of time, say less than 24 hours. In this paper, we consider a special case of cross docking where there is temporary storage and implements genetic algorithm to solve the resulted problem for some realistic test problems. In our method, we first use some heuristics as initial solutions and then improve the final solution using genetic algorithm. The performance of the proposed model is compared with alternative solution strategy, the GRASP method.

One of the primary concerns in project development is to detect all sorts of risks associated with a particular project. The main objective of this article is to identify the risks in the construction project and to grade them based on their importance on the project. The designed indicator in this paper is the combinational model of the Analytical Hierarchal Process (AHP) method and the group decision – making applied for risks measurement and ranking. This indicator is called "R" which includes three main steps: creating the risks broken structure (RBS), obtaining each risk weight and efficacy, and finally performing the model to rank the risks. A questionnaire is used for gathering data. Based on the results of this survey, there are important risks associated with construction projects. There we need to use some guidelines to reduce the inherent risks including recognition of the common risks beside the political risks; suggestion of a simple, understandable, and practical model; and using plenty of the experts and specialists & apos; opinions through applying step. After analyzing data, the final result from applying R index showed that the risk “economic changes / currency rate and inflation change" has the most importance for the analysis. In the other words, if these risks occur, the project may face with the more threats and it is suggested that an organization should centralize its equipment, personnel, cost, and time on the risk more than ever. The most obvious issue in this paper is a tremendous difference between an importance of the financial risks and the other risks.

During the past two decades, e-commerce has revolutionized many industries by providing easy access infrastructures for interested users who wish to place their orders via internet facilities. Insurance industry is one of the most important financial industries in the world. E-commerce has been attracting many in insurance industry and insurance industry has utilized e-commerce because of its own significance in economic growth and health of society. However, enhancing e-commerce into insurance firms may face serious barriers and it is important to detect and setup appropriate actions to remove them. In this paper, we present a multi-criteria decision making (MCDM) technique based on DEMATEL with an adaptation of fuzzy logic to find important factors influencing implementation of e-commerce into insurance industry. The proposed study of this paper designs a questionnaire and distributes it among five important insurance experts. Findings indicate that “behavioral-cultural barriers” influence on structural and field barriers. “Problems resulted from obeying government complicated rules” in the group of structural barriers, “low capacity of accepting e-insurance” in field barriers group and “lack of sufficient support of insurance chief managers from e-insurance and relative tendency of insurance staffs to make the insurance affairs electronic” in behavioral-cultural barriers group have the most influence on other factors of group.

Liquidity play an important role on performance of firms listed in Stock Exchange. When there is a good flow of trading stocks, people could expect more financing through absorbing investors on market. The proposed study of this paper investigates the relationship between Tobin’s Q and illiquidity in some selected firms in Tehran Stock Exchange. The proposed study selects non-financial stocks over the period of 2001-2010. The result of the survey indicates that there is a negative relationship between illiquidity and Tobin’s Q but the ratio is approximately seven percent. In other words, as illiquidity increases by one percent, we could expect only a small change in firms’ performance.

Operating risk is one of the most important components of corporate governance and it is often called the first risk item, which must be detected and managed, properly. The primary objective of this paper is to determine important barriers in implementation of operating risk. The proposed study of this paper is implemented in one of Iranian banks located in province of Semnan, Iran. Cronbach alpha is calculated as 0.9043. The results of the study have indicated that lack of possibility of quantifying operating risk components, unfamiliarity of managers with various methods for measuring operating risk components, lack of sufficient rules and regulations, insufficient information, no regulation for monitoring the implementation of rules and regulations and underestimating importance of operating risk are considered as the most important barriers in operating risk implementation.

For years, the idea of virtue was unfavorable among researchers and virtues were traditionally considered as culture-specific, relativistic and they were supposed to be associated with social conservatism, religious or moral dogmatism, and scientific irrelevance. Virtue and virtuousness have been recently considered seriously among organizational researchers. The proposed study of this paper examines the relationships between leadership, organizational culture, human resource, structure and processes, care for community and virtuous organization. Structural equation modeling is employed to investigate the effects of each variable on other components. The data used in this study consists of questionnaire responses from employees in Payam e Noor University in Yazd province. A total of 250 questionnaires were sent out and a total of 211 valid responses were received. Our results have revealed that all the five variables have positive and significant impacts on virtuous organization. Among the five variables, organizational culture has the most direct impact (0.80) and human resource has the most total impact (0.844) on virtuous organization.

For almost a century, radio stations have been some primary sources for presenting arts, entertainment, news, etc. and the primary concern on many studies is to understand audience attitude on this media. This paper attempts to investigate audience attitude on radio programs broadcasted in city of Esfahan, Iran. The proposed study selects random sample of 600 out of 1,745,428 residence of this city where 345 people actively were listening to these programs, actively. All questions were designed in Likert scale and Cronbach alpha was 0.941, which was well above the desirable level and validated the survey. According our survey, the most popular part of radio programs was associated with news where 78.3% of the audiences were listening to these programs. According to our survey, audiences were mostly satisfied with family oriented programs and the mean score was 4.05. The other observation indicates that people have good attitude towards educational guidance programs (mean=3.37) and programs related to people and officials (mean=3.41). The results of Freedman test with Chi-Square value of 52.507 determines that there is meaningful difference among different components (mean difference = -0.23 and P-value =0.022). We have also performed an investigation to find out whether there is any difference between different components of this survey in terms of participants’ personal characteristics such as age, gender, educational background and job. Our survey only confirms the mean difference in terms of job specifications and other personal characteristics did not have any impact on people’s attitude. The other observation in our survey indicates that there is a difference between students and people with no job or housekeeper on their attitudes towards educational programs.

Today, human resources are considered as the most precious assets for any organization and it is important to empower them as much as possible to create competitive advantage and to cope with rapid changes in organizations. In this paper, we present an empirical study on one of food industries in province of Qom, Iran to determine important factors influencing empowering human resources. The proposed study uses factor analysis by choosing a sample of 380 people. Cronbach alpha is calculated as 0.88, which is well above the minimum acceptable limit of 0.7 and validates the overall questionnaire. Based on the results of this survey, there are three important factors including job related, personal related and organizational related issues. The study also uses Pearson correlation as well as Freedman tests to rank the factors and the results demonstrate that organizational factor plays the most important role in empowering human resources followed by job related factors and personal factors.

Software Architecture (SA) is one of the most important artifacts for life cycle of a software system because it incorporates some important decisions and principles for the system development. On the other hand, developing the systems based on uncertain and ambiguous requirement has been increased, significantly. Therefore, there have been significant attentions on SA requirements. In this paper, we present a new method for evaluation of performance characteristics based on a use case, response time, and queue length of SA. Since there are some ambiguities associated with considered systems, we use the idea of Fuzzy UML (F-UML) diagrams. In addition, these diagrams have been enriched with performance annotations using proposed Fuzzy-SPT sub profile, the extended version of SPT profile proposed by OMG. Then, these diagrams are mapped into an executable model based on Fuzzy Colored Petri Nets (FCPN) and finally the performance metrics are calculated using the proposed algorithms. We have implemented CPN-Tools for creating and evaluating the FCPN model.