, , and For years, there has been growing interest on virtues, especially in various organizations and progressive companies are exploring their impacts in generating new, holistic, healthy, and human work environments. Many firms are trying to become more sensitive to the requirements of the community and virtuous concerns such as caring, compassion, integrity and wisdom, and less interested in ideas such as efficiency, profitability and competitive advantage. In other words, most firms are going towards virtuous firms. The primary objective of this work is to detect the drivers and principal components of a virtuous firm to put virtues into practice. The study consists of two parts. In the first part, a Delphi study among the informed individuals is conducted and request them to detect the most effective drivers of virtuous firm, while in the second step, we do an exploratory factor analysis to detect the principal factors influencing virtuous organization. The data implemented in this phase include questionnaire responses. The survey distributes 750 questionnaires and collects 574 valid responses. The factor analysis empirically grouped the drivers of virtuous organization into five factors including Leadership, Human Resource, Organizational Culture, Structure and Processes and Care for Community. These five factors describe approximately 81.305% of the total variance. Finally, we ranked the principal factors extracted from factor analysis.

Data envelopment analysis (DEA) is one of the most popular techniques for measuring relative efficiencies of various similar units. However, lack of opportunity to compare the decision making units (DMUs) on the same scale in DEA model can make it less practical to classify DMUs. In this paper, we present common weights for DMUs by applying a scientific methodology utilizing goal programming as one of multi criteria decision making (MCDM) techniques, thereby we deal with improving discrimination power for selecting the efficient DMUs. The paper investigates the validity of the ranking technique, an index called the relative closeness (RC) to the ideal DMU (IDMU). Finally, via a previously reported numerical example, the proposed data envelopment analysis-goal programming (DEAGP) model is compared with that obtained by the DEA-AHP.

One of the challenges in contemporary zone of management and organizational behavior is to create and strengthen social capital. Social capital arises from individuals trying to help people build trust, relationships and cooperation. Without social capital, employees are not able to share information and knowledge. The purpose of this study is to review the relationship of social capital and the learning organizational in one of Iranian organizations called Jihad Agriculture Organization of Kermanshah. The statistical population includes 270 employees of this organization and a sample size of 159 people are chosen using Morgan statistical table for a the first six months of 2012. The research method is descriptive- survey, the type of correlation and a questionnaire for collecting information are used. A number of university professors confirmed validity of the questionnaires. Their reliabilities were obtained with Cronbach & apos; s alpha and the coefficients for questionnaire of social capital was 0.705 and for questionnaire of learning organization was 0.838, respectively. By using correlation coefficient and multiple regressions, the data were analyzed. Results in a significant level of 95% showed, social capital had a meaningful relationship with learning organizational.

Government subsidies have been a major concern in many developing countries and they could create major problems such as increase in smuggling, lack of interest in investment, etc. During the past couple of years, the government of Iran decided to eliminate subsidies in different goods such as energy prices and food. In this paper, we present a survey to measure the impacts of such deregulation on Iranian economic factors including inflation, unemployment, tuition fee, consumer consumption pattern and city transportation facilities. The survey distributes a questionnaire among 51 university students aged 20 to 26 in Likert scale. We have used Pearson correlation test to study the relationship between deregulation on government subsidies and other mentioned factors. The results of the survey indicate that there is a meaningful relationship between government subsidies and unemployment, transportation facilities, consumer consumption pattern. However, the survey does not find sufficient evidence to believe that there is any relationship between government subsidies and inflation, increase in tuition fee.

One of the primary concerns with data envelopment analysis arises when the number of inputs and outputs increases. In such a case, required computations will become time consuming and there is a concern on developing some hybrid methods to increase the capability of this method. In this paper, a combination of data envelopment analysis and multi-layer neural network is proposed, in a case study, for predicting the performance of Alborz insurance subsidiaries in large cities in Automobile insurance firms. This research can be used in the future databases for performance prediction. On the other side, these results can aid Alborz insurance in its future investments as well as the performance index usage.

The purpose of this study is to investigative entrepreneur in Physical Education Office of Isfahan province. This research is performed in the administration office associated with sport in Isfahan providence. The method of research is deceptive and of the correlation-type, which is based on the survey. The statistic population includes all of expert staffs, official conventional and contract, which have been announced to be 205 in year 2012. According to Morgan table, the sample was equal to 132 people selected, randomly. Questionnaire of Wisbird entrepreneur organization is used to perform the study. The validity and reliability of the survey is confirmed using Cronback alpha (?=0.91). In this study, descriptive statistic (Frequency, Distribution, Percentage, Mean & Standard deviation) and inferential statistic (Pearson correlation test) have been used. The result of the study showed that Mean and standard deviation of organization entrepreneurship were 2.79 and. 0.28, respectively. The highest and lowest scores were calculated 4 and 1.54, respectively. Furthermore, we found out that in the distribution of aspects organizational entrepreneurship, the lowest average was related to reward and the highest was related to goal and relation.

Complexity is one of the most important issues influencing success of any construction project and there are literally different studies devoted to detect important factors increasing complexity of projects. During the past few years, there have been growing interests in developing mass construction projects in Iran. The proposed study of this paper uses Delphi technique to find out about important factors as barriers of construction projects in Iran. The results show that among 47 project complexity factors, 19 factors are more important than others are. The study groups different factors into seven categories including environmental, organizational, objectives, tasks, stakeholders, technological, information systems and determines the relative importance of each. In each group, many other sub group activities are determined and they are carefully investigated. The study provides some detailed suggestions on each category to reduce the complexity of construction project.

Survival of production systems has become complicated with the emergence of new areas in business. In other words, changes in business environment, which are the results of changes in customers’ needs lead us to an uncertainty in making decisions; therefore there is a need to have a flexible supply chain to confront the changes. Agility is considered as a solution to enable mass construction associations to maintain in a competitive environment of housing industry in Iran. The aim of this study is to introduce a method to evaluate the agility of supply chain for mass construction associations. The proposed method of this paper designed questionnaires to evaluate the agility of supply chain based on identified criteria and indices. The questionnaires were filled by experts and scholars and then analyzed with SPSS software. Findings of this study show that the agility of the case study of this paper is ranked 2 out of 5 or 40%. According to the evaluations of agility, the highest score goes to financial and the lowest score belongs to information technology.

This paper presents an investigation on existing challenges in developing aviation industry in Iran. The proposed study designs and distributes a questionnaire among all specialists who are involved with design, production and distribution of aviation industry in Iran. Our interview has revealed that there were approximately 200 potential experts as population of our survey. The designed questionnaire consists of six parts in Likert scale in terms of linguistic terms. All six parts of the survey was designed based on four segments of aviation industry in Iran. Based on the results of this survey, appropriate structure for the legislative, availability of sufficient funds for purchasing private planes, public access to the airports and airport services and availability of supply chain management and technical service centers are the most important challenges in this industry. In addition, availability of various infrastructures such as runways, hangars and maintenance centers to access the industrial towns and insufficient support from relevant organizations such as the ministry of commerce, industry and mining, civil aviation organization and other organizations in the manufacturing and aircraft are among other most important challenges in developing this industry in Iran.

This paper presents an investigation on deaf students & apos; interests in spending their leisure times. We design a questionnaire and distribute among all deaf students who are enrolled in high schools in two provinces of Iran. The questionnaire consists of three parts, in the first part, we ask female and male deaf students about their interests in various entertainment activities in Likert scale. In terms of gender, we find out that walking inside or outside house is number one favorite exercise for female students while male students mostly prefer to walk on the streets. Although male students prefer to go biking or running activities, female students prefer to go for picnic or similar activities. This could be due to limitations on female for running or biking inside cities. While going to picnic with members of family or friends is the third popular activity for male students, stretching exercises is third most popular activity among female students. Breathing exercise is the fourth most popular activity among both male and female students. The second part of the survey is associated with the barriers for having no exercise among deaf students. According to our survey, while lack of good attention from public and ordinary people on exercising deaf students is believed to be number one barrier among male students, female students blame lack of transportation facilities as the most important barrier. However, both female and male students believe these two items are the most important factors preventing them to exercise. Lack of awareness for exercising deaf students and lack of good recreational facilities are the third most important barriers among male and female students. The last part of the survey attempted to detect important entertainment activities. Watching TV, entertaining with mobile devices, chatting with friends and watching DVD or movies were the most important items influencing deaf students & apos; free times.