The main target of this study is to consider the effect of the combination of board of directors on the corporate transparency in some companies among selected ones in Tehran Stock Exchange Market over the period of 2007- 2010. In this research, the combination of board of directors is selected among some factors of corporate transparency such as structure of ownership and the rights of owners, financial information and statistics and structure and combination of board of directors and managers as a sub-indicator for corporate governance. Linear regression statistical method is used to test hypotheses of study. The size of ? is considered as 5% and hypotheses are accepted or rejected by means of Durbin-Watson and Clemogrov-Smirnov tests and by comparing p-value with ?. At last, by means of forward regression method, the effect of control variables is considered over each hypothesis. The results show that the members of board of directors have no effect on partnership transparency, but effect on financial data and information and structure and combination of board of directors.

Tourism industry plays an important role on developing economy especially in regions where there are different historical, landscape and other natural attractions. Bavan Valley located in Nur Abad Mamasani city in Iran is one of the well-known places among tourists. The region has outstanding natural landscapes, moderate weather especially in spring and summer, low distance from the major road locating between different local regions such as Fars, Bushehr, Khuzestan, and Kohkiluye Boyer Ahmad Province. These regions provide appropriate accessibility for the citizens of highly populated cities of this province and it plays essential role of a major attractive pole in southern part of the country. The primary objective of this research is to recognize the present barriers for attracting tourists and to analyze the tourists’ satisfactions associated with the facilities and tourist services. The statistical population of this research includes all the tourists of Bavan Valley in which 381 individuals were chosen as the sample of this research, using Cochran & apos; s formula. The results indicate that there is a significant relationship between the absence of advertisement about Bavan Valley and the number of tourists in this zone (P & LT; 0.05). The findings also show that there is a significant relationship between lack of infrastructural equipments and un-development in tourism industry (P & LT; 0.05). Moreover, the findings of SWOT analysis indicates that 9 internal strength versus 10 internal weaknesses and 7 external chance versus 8 external threat were recognized and analyzed with regard to ecotourism in this zone. Thus, generally 16 strength and chances as the advantages and 18 weaknesses and threats as the obstacles about the Bavan Valley’s tourism were recognized in order to develop tourism.

Leadership plays an essential role in managing different organizations. These days, different organizations attempt to resolve any existing conflicts through adapting an appropriate leadership strategy. During the past few years, there are increasing interests in examining the relationship between management style and self-esteem. The proposed study of this paper performs an empirical study to find the relationship between leadership style and self-esteem. The proposed study distributed a questionnaire among 80 managers and 150 regular employees of an organization in Iran. We have used Pearson correlation test, t-student and Freedman tests to verify the relationship between leadership style and self-esteem. The investigation of this survey considers four groups of leadership style including autocratic-charity, autocratic-exploitation, management consulting and participative and their effects on self-esteem. The results of our survey indicate that there is a positive and strong relationship between participative leadership management style and self-esteem. The results also indicate that there is strong relationship between educational background and self-esteem.

In recent years, there are several methods introduced for the improvement of operational performances. Total quality management and supply chain management are two methods recommended for this purpose. These two approaches have been studied in most researches separately, while they have objectives in common, and this makes them a strategic means, which can be used, simultaneously. Total quality management and supply chain management play significant roles to increase the organizational competitiveness power. Moreover, they have only one purpose that is customer satisfaction, and they are different only on their approaches to reach their objectives. In this research, we aim to study both approaches of quality management and supply chain, their positive increasing effects that may be generated after their integration. For this purpose, the concept and definitions of each approach is studied, independently, their similarities and differences are recognized, and finally, the advantages of their integration are introduced.

One of the primary questions in asset management is to find good combinations of different assets and this has been an interesting area of research for over half a century. The proposed model of this paper uses decision makers & apos; feedbacks based on multiple criteria decision making technique to find an appropriate portfolio. We first select some important financial criteria and then using decision makers & apos; opinions and by implementation of some fuzzy network analysis we find appropriate weights of the asset. The proposed model uses two multiple criteria techniques namely TOPSIS and VIKOR and the model is examined for some real-world data from Tehran Stock Exchange. The results of the implementation of the proposed model have been examined against Markowitz traditional model. The preliminary results indicate that the proposed model of this paper performs reasonably well compared with alternative method.

Supplier selection is one of the most important decisions made in supply chain management. Supplier evaluation problem has been in the center of supply chain researcher’s attention in these years. Managers regard some of these studies and methods inappropriate due to simple, weight scoring methods that generally are based on subjective opinions and judgments of decision maker units involved in the supplier evaluation process yielding imprecise and even unreliable results. This paper seeks to propose a methodology to integrate data envelopment analysis (DEA) and group analytical hierarchy process (GAHP) for evaluating and selecting the most efficient supplier. We develop a methodology, which consists of 6 steps, one by one has been introduced in lecture and finally applicability of proposed method is indicated by assessing 12 suppliers in a numerical example.

Tourism industry is one of the most important low carbon industries and it can provide good opportunities for developing countries to take advantage of their natural attractions such as historical monuments, culture, etc. to create value added. However, there are always some barriers in front of developing this industry and a good strategy could help it develop faster. There are different methods for strategic planning and SWOT matrix is one of the most popular one. In this paper, we present an empirical survey to find the most important and strategic items for developing tourism industry in Iran. The proposed study designed a questionnaire and distributed it among 384 tourists who were visiting Iran in a three months period of year 2011. The information gathered were analyzed using factor analysis and structural equation modeling. There are seven important factors involved in developing tourism industry. The first factor, price and having sufficient infrastructures, is the most important factor according to our survey representing 14.623 percents of the changes. The second factor is associated with political and international affairs, which represents 13.926 percents of the changes. The third factor is associated with culture and civilization attractiveness representing 9.342 percent of changes on tourism. The fourth factor is natural attractiveness representing 6.691 percent of the changes. The fifth factor is related to economical factor representing 5.632, the sixth factor, human resources, represents 5.353 percent of the changes and finally the last factor is related to diversity of creatures, which represents 4.749. These factors include 60.3 percent of the success of tourism.

The purpose of this paper is to study the effect of "emotional intelligence" on "organizational learning" among employees who work for Jihad Agriculture organization of Isfahan. The statistical population includes 500 employees of the organization and a sample of 217 people are selected from these people using Morgan statistical tables for a period of 6 months of second half of 2011. Therefore, the research method is descriptive- survey, the type of correlation. For data collection the Wesinger Emotional Intelligence Questionnaire and organizational learning questionnaire was used. Validity of the questionnaire was confirmed by a number of university professors. The reliability was obtained with Cronbach & apos; s alpha coefficient for the first questionnaire, 0.813 and for the second questionnaire, 0.786. By using Correlation coefficient and multiple Regressions by SPSS software the data were analyzed. Results in a significant level of 99% showed that emotional intelligence had a significant effect on organizational learning.

Every day in workplaces, continues events occur that cause death and injury. These accidents usually happen because of lack of exploring the potential hazards and lack of training of employees. Hence, with exploring and evaluating the hazards of workplace and utilizing the suitable procedures, it is possible to prevent from many of these hazardous incidents. Exploring, evaluating and controlling the potential hazards have been the initial stages of scientific safety assurance in every system. Preliminary hazard analyzing is the first effort in analyzing hazards. In this method, usual hazards in sighted job are explored, using the usual hazards table for developing the basis of PHA, the PHA checklist is prepared and at last the PHA table completed and the appropriate suggestions are given. In this paper, we present an implementation of PHA method in one of industries located in city of Tehran, Iran. The proposed study uses 15 explored hazards, where 2 are unacceptable, 9 are undesirable and 4 are acceptable with need of revisal. By eliminating and reducing each hazards risk, some controlling solutions are suggested. The most important of these solutions are utilizing and using the regulations of the welding with electrical archer.

This paper presents an empirical study on measuring the effects of fiscal policy in terms of government spending on private consumption in both recession and booms over the period of 1965-2010. The proposed study uses Hodric-Prescott filter to find the cycle of recessions and booms. Then, we use autoregressive distributed lag model to estimate the changes. The results of this survey indicate that, in long term, an increase on government expenditures normally impacts private sector positively in both recessions and booms. The impact in short terms is positive during the recessions but during the booming session, there is no meaningful relationship between government spending and private spending.