درخت حوزه‌های تخصصی

By intensifying sanctions against Islamic Republic of Iran, identification and development of mechanisms to sell crude oil has gained attention among most experts and oil industry activists. Limitations for financial transactions and settlements are one of the fundamental challenges in international oil transactions; thus, various solutions are proposed to solve the limitation. Using capability of virtual currencies is one of the proposed suggestions for petroleum transaction under sanctions but there is a research gap in finding whether and which one of these currencies are able to be used in petroleum transactions in present condition. In this study, performed by analysis and quantitative approach, indices are introduced for choosing a valid currency for international transactions, and subsequently are confirmed by experts. The indices are ranked by the experts through TOPSIS method and are studied on the most suitable virtual currencies to find the best suit for petroleum transactions. The results reveal that Bitcoin, Ethereum and Tether are respectively the best, second and third choice for this end. It is noteworthy that some experts might believe the virtual currency market size may not meet the high volume of crude oil transactions, making it unsuitable. Although current study has shown that there would be no problem in covering the whole petroleum market for Iran’s crude oil by virtual currencies platform, if the concerns remain, virtual currency platform could be used for selling Iran’s crude oil temporarily and partially through various channels.

The present research seeks to assess the relationship between the Individual value system and decision-making styles. The statistical population (190 people) consists of Pars Special Economic Energy Zone (PSEEZ) Organization managers who were assessed using the Census Method. The Myers and Myers cognitive demographic and value systems questionnaire and Scott and Bruce’s decision-making questionnaire were used with a response rate of 90%.. Data was analyzed with the SPSS and Smart Planning softwares. It was found that the dominant Individual value system is success-oriented, followed respectively by system-oriented, realistic, tribal, community-oriented, and autocentric.Also, the dominant decision-making style in the statistical population is rational, followed by intuitive, dependent, avoidant, and spontaneous decision-making styles respectively. It was also concluded that success-oriented and tribal value systems had the most significant relationship with decision-making styles and the community-oriented value system the least. Only the individual variables of race (ethnicity) and field of study had a significant relationship with the Individual value system. The other personal and organizational variables had no significant relationship with the Individual value system. Creating motivation and a sense of employee participation in the future of the organization is proposed as the most important way of improving the value system of the statistical population so that the tendency to make spontaneous decisions can lean more towards making rational decisions to the same extent. Investigating the relationship between decision-making styles is another effective topic in improving these in an organization and is thus recommended to other researchers in the field.

The companies with major customers can supply a considerable source of cash flows by selling a large portion of their products to them. Since the lack of purchase, loss, or bankruptcy of major customers can result in a significant reduction in cash flows in the company, thus the risk is the companies with major customers is higher than other companies. Thus, the present study aimed to investigate the effect of customer concentration on company risks. For this purpose, the effect of customer concentration on three criteria of stock price crash risk, bankruptcy risk, and employment risk was studied. The research sample included 127 companies listed in the Tehran Stock Exchange during 2011-2018. Multivariate regression models with panel data were used by the random-effects method to test the research hypotheses. The research findings indicated that customer concentration has a significant positive effect on stock price crash risk, bankruptcy risk, and employment risk. In other words, stock price crash risk, bankruptcy risk, and employment risk are higher in the companies where the concentration of major customers is higher. 

Investors pay special attention to risk criteria in assessing the status of companies. So companies can help attract investment by disclosing important risks. So, it is expected that risk disclosure through decreasing information asymmetric between managers and investors can reduce uncertainty and lead to an increase in the companies' value. This paper studies the impact of risk disclosure on firm value in listed companies on the Tehran Stock Exchange. We used Miihkinen (2012) model to calculate our risk disclosure index. Firm Value is calculated through Tobin's Q variable. The statistical population of this study is all companies listed on the Tehran Stock Exchange from 2010 to 2016. The final selected companies are 59. We find that corporate risk disclosure has significantly and positively impact on firm value. That is, as the disclosure of risk increases, so does the value of the company.