درخت حوزه‌های تخصصی

In spite of decades from its establishment, National Iranian Oil Company (NIOC) has failed to get the reputation of a prosperous international company. This failure may be due to different reasons but the role of directors in the success of the company is undeniable. How to have efficient directors and therefore a strong board of directors is a challenge that in its response is raised the concept of Good Corporate Governance that by crushing this concept, It will be applied it in the process of appointment directors. The research intends to scrutinize and describe the process of board of directors' appointment from Good Corporate Governance point of view, identifying NIOC advantages and disadvantages thereof. It was found that some indicators of Good Corporate Governance principles such as specialized diversity of board composition are desirable and minimum competencies are less and there is no independent managers criteria. At first hereto, the process is described in three sections: appointment entity, board qualifications and nomination process and following is brought its analysis by using descriptive-analytic method. In conclusion, suggestions are made in regards with enhancing standards of NIOC Good Corporate Governance about board of directors' appointment .

Nowadays, supply chains are highly vulnerable and prone to various risks due to geographical expansion and the complexity of communication networks. Sustainability in supply chains is increasingly seen as part of supply chain management. Sustainability has become a necessity, and every supply chain needs sustainability. However, the supply chain has a breadth and complexity of indicators. This paper aims to provide a model for evaluating the impact of the sustainable supply chain on organizational performance and efficiency in the National Iranian South Petroleum Company (NISOC). This study consists of two quantitative studies and a qualitative stage by designing several questions and using a mixed research method. The qualitative stage uses grounded theory methods following a systematic review of the literature on sustainable supply chain management and its adaptation to the local needs of the sustainable supply chain in one of the country’s largest oil companies. The statistical population of the research includes all employees of the NISOC with an unlimited number, of which 384 subjects are randomly selected as samples. In this study, a questionnaire is used as the data collection tool. The questionnaire designed in this research is based on a 5-point Likert scale. Options range from strongly agree to disagree strongly. The research hypotheses are tested using SmartPLS software. According to the results, the organizational performance and efficiency in the NISOC are affected by the green supply chain, industry supply chain, macro policies, socioeconomic factors, organizational factors, political factors, technology, manufactured products, customers, and supply chain failures. As shown in this study, using sustainable approaches to the supply chain of the petroleum company improves the situation of this organization and increases its effectiveness and efficiency. Further, the performance of individual components of organizations increases due to the sustainability model in this company

EXTENDED ABSTRACT INTRODUCTION Investigating the link between monetary policy and stock returns has been very important for monetary policymakers and financial market investors to employ appropriate monetary policy and make the right investment decisions. Moreover, it has been of great interest to economists whether monetary policy has the same sort of effects in bull and bear stock market cycles. If a monetary policy has asymmetric impacts, policy makers should consider stock market cycles while implementing it. The objective of the present study is to investigate the reaction of stock returns to monetary policy and asymmetries over bull and bear cycles in Iran. Moreover, the impact of monetary policy on the switching probabilities between bull and bear regimes is also examined. The theoretical framework for explaining the asymmetries over stock market cycles can be described by the models with financial restrictions. According to these models, financial restrictions are more in bear cycles because of lower net worth in these periods. The lower the net worth, the greater the external finance premium should be. Higher external finance premium create a financial propagation mechanism which amplifies the interest rate effects of monetary policy (Garcia and Schaller, 2002; Chen, 2007). METHODOLOGY To examine asymmetries we employ Markov-switching (MS) models developed by Hamilton (1989). Unlike linear models this approach is nonlinear and can handle asymmetries. Besides, Hamilton algorithm endogenously determines bull and bear stock market cycles based on the data. In this study Hamilton (1989) MS model is modified to allow monetary policy to affect stock returns. Moreover, basic MS model is extended to a time-varying transition probability MS model (TVTP-MS) to allow the probability of switching between regimes depending on monetary policy. FINDINGS According to the findings MS models identify two regimes with different means and variances conventionally labelled as bull and bear. Average expected durations of bull and bear regimes show that both regimes are highly persistent. They persists on average around 10 to 12 quarters. The results of MS models show that monetary policy significantly affect stock returns only in bear cycles. When a monetary policy is measured by real M2, it has a positive impact on stock returns. However, when it is measured by real interest rate it negatively affects stock returns. In other words, an increase in real M2 raises stock returns while increasing real interest rate reduces returns.To measure the impact of monetary policy on the dynamics of switching between regimes we estimate a TVTP-MS model. The results indicate that an expansionary monetary policy raises the probability of remaining in a bull regime. Furthermore, an expansionary monetary policy reduces the probability of switching from a bull regime to a bear one. In addition, an expansionary monetary policy decreases the probability of being trapped in a bear market while it can increase the probability of switching from a bear market to a bull one. CONCLUSION The results of a modified MS model indicate that monetary policy significantly affect stock returns only in bear cycles. More specifically, increase in real M2 raises stock returns while increasing real interest rate reduce returns for both nominal and real returns in bear regimes. These findings are in line with the prediction of the models with financial restrictions. Finally, Empirical results from estimating TVTP-MS models suggest that an expansionary monetary policy raises the probability of remaining in a bull regime while reduces the probability of being trapped in a bear regime.As a policy implication, monetary policy makers should consider stock market cycles in implementing monetary policies. Especially in bear market periods implementing an expansionary monetary policy may lessen the probability of remaining in bear markets and will raise the probability of switching from a bear regime to a bull one. Moreover, stock market investors should consider that the impact of monetary policy on stock returns may depend on the phase of stock market.