درخت حوزه‌های تخصصی

The purpose of this study is to level the optimal analytical topics for evaluating the cost of petrochemical stock in the capital market. In this study, which was synthetic and inductive-deductive in terms of data collection method, 12 accounting and financial management specialists at the university level participated as panel members in the quality department. In fact, in the qualitative part, which used meta-synthesis and Delphi analysis, the aim was to identify the optimal analytical themes for the valuation of cost-effective stocks and then, in a small section with the participation of 16 petrochemical brokers, to classify the identified statements in the form of a total interpretive structural modelling based on impact priority. Therefore, relying on meta-synthesis analysis, 12 studies were first evaluated as the basis for evaluation to determine the optimal analytical themes of cost-based stock valuation based on critical evaluation, based on which 11 themes were selected propositions and entered into Delphi analysis to determine theoretical adequacy. In this stage, 3 propositions were removed during the two stages of Delphi analysis and a total of 8 analytical propositions of stock valuation were economically entered into the quantitative analysis section, ie total interpretive structural analysis. In this section, the results show the most influential analytical themes of cost-effective stock valuation in the petrochemical industry, two statements of normal stock market price analysis based on the current rated price of "K2" and a focus on the net asset value is "K3", which is at the fourth level of this model.

One of the variables affecting the behavior of enterprises is the exchange rate. Uncertainty about the amount of exchange rate volatillity for each firm is considered as a risk. The aim of this study is to explain a model to investigate the effect of exchange rate shocks on the financial sustainability of export-oriented companies. In this regard, the data on exchange rate, tax, oil revenue and export variables on financial sustainability was collected for 19 groups of companies from 2008 to 2019. To achieve the research goal, the Panel Vector Autoregressive Model (PANEL VAR) using the generalized method of moments (GMM) was used to analyzed the data. Then the results were interpreted using the Impulse Response Function and variance decomposition. The results of the IRF show that the effect of exchange rate volatility on the financial sustainability variable is initially negative, but has a positive effect over time and is neutralized after several periods. The same goes for an impulse equal to a standard deviation in tax. Also, the oil revenues and exports impulse have negative and positive effects on financial sustainability, respectively. According to the results of variance decomposition, it can be said that the effect of exchange rate on financial sustainability is greater than the effect of sustainability on exchange rate, because the exchange rate shocks have more explanatory power for sustainability fluctuations.

With the increasing competitiveness of the capital market, one of the topics that has attracted the attention of many financial researchers in recent years is the reasons for the formation of abnormal stock returns as a stimulus for restructuring companies due to the difference between real returns and Expected (normal) returns can motivate investment in the capital market. The purpose of this study is to evaluate the impact of the reasons for the formation of abnormal stock returns on the content of the autopoietic restructuring theory of companies operating in the petrochemical industry in the capital market. In this study, in order to identify the components (reasons for the formation of abnormal stock returns) and research propositions (content themes of corporate autopoietic restructuring theory), a combined analysis was used with the participation of 15 accounting experts at the university level. In the quantitative part, the components and propositions identified in the form of matrix questionnaires were evaluated by interpretive ranking process (IRP) by 20 financial managers of capital market petrochemical companies. The results showed that the most effective reason for the formation of abnormal stock returns is the institutional and regulatory causes of the stock market, which has the greatest impact on the dimension of autopoietic restructuring strategy of petrochemical companies. In other words, institutional and regulatory changes in the stock market by upstream institutions will be able to influence the restructuring process with the aim of matching the content with the structural process (the autopoietic approach).

Designation of incentive mechanisms to increase the speed of liquidity of receivables is one of the leading options for streamlining domestic resources in the field of oil and gas industry financing. The main objective of this research is to investigate and optimize the liquidity methods of gas sales receivables in line with the requirements of the National Iranian Gas Company. After a deep review of literature, we extract methods and legal platforms for receivables liquidation methods. The current research is an applied and descriptive-analytical research in terms of its purpose and methodology. The data analysis is a combination of quantitative and qualitative methods and required data for this study including the amounts and duration of deferred receivables by different categories of subscribers of the NIGC during 2012 to 2018. Subsequently, in order to visualize the data in the form of heat tables, Microsoft's Business Intelligence software is applied to understand the process of creating and settlement of receivables, cluster receivables by the different categories of subscription and, finally, reveal the subscriber behavior patterns in disbursements. Finally, using theoretical foundations and experts' opinions, a set of optimal methods has been recommended to accelerate the process of collecting current receivables, depending on the behavior of different groups of subscribers. Based on the results of the interviews, NIGC should apply IT-based methods, incentive policies and deterrent (punitive) strategies to accelerate the liquidation of receivables in household and commercial subscription.

Understanding of the interplay between IP rights and competition law in the context of technology transfer in the Iranian oil industry is a point that is discussed in this article. While intellectual property rights enjoy a historic record and appropriate rules in this regard, the competition rights in Iran are taking their initial steps. This imbalance stems from the root of the formation of the legal system of oil in Iran based on contractual frameworks over time. The point to be made in this article is that technology transfer can be expected to take place when the type and purpose of technology transfer have already been defined by legal organizations in relation to the relevant industries. Also, the general targeting in the upstream laws alone cannot meet the legal requirements for the transfer of appropriate technology. Therefore, when even one of the mentioned factors does not exist, one cannot expect constructive interaction in the above-mentioned legal systems.

The purpose of this study is to design and explain the model of online advertising with an image-based marketing approach. In this regard, while reviewing the concepts of online advertising, image-based marketing (GIF marketing) and tourism using confirmatory factor analysis and structural equation modeling, we designed and explained the online advertising model with the gif marketing approach in oil and gas’s Industrial tourism hubs of Iran. The research strategy includes a combined qualitative study of content analysis, granded theory and delphi analysis and quantitative study in survey. The study population in the qualitative part includes experts in the field of advertising focusing on the tourism industry and in the quantitative part all tourists are in the oil and gas’s Industrial tourism hubs of Iran. Normal test and confirmatory factor analysis and structural equation modeling test were used to confirm the components and model. The results showed that the components (causal factors, contexts and outputs) of online advertising model with GIF marketing approach in oil and gas’s Industrial tourism hubs are in order of priority. In order to conduct open interviews and coding, 62 indicators were finally extracted. The results of model validation and model overall fit index (GOF), which has a value of 0.794, showed that the overall fit of the model is desirable and as a result, the overall model is valid and approved. Also, in Q2 index, positive numbers showed more than 0.35, which showed the high predictive power of the model.