درخت حوزه‌های تخصصی

The purpose of this study is to evaluate the rough analysis process to select the most effective functions of supply chain flexibility based on the propositions of integration of competitive values in the petrochemical industry. The methodology of this research is hybrid and to perform it from meta-synthesis analysis; Delphi and Rough collection used. The target population in the qualitative sector was similar research and academic experts in the field of industrial management. However, the target population was a small number of 23 managers with experience in petrochemical companies, which is acceptable from the statistical population due to the need to analyze the Rough process. In this study, based on the combined analysis of selected researches, 5 propositions of competitive value integration and 5 components of supply chain flexibility were determined, which entered the Rough collection analysis phase according to the confirmation of theoretical adequacy based on Delphi analysis. The results in this section identify the most effective propositions of integration of competitive values of companies operating in the petrochemical industry, three propositions of demand-based management propositions (P2); creating innovative values (P3) and reducing operating time (P5), which affects the flexibility of the supply chain and causes the flexibility of financing as the most effective component of the flexibility functions in the supply chain in the petrochemical industry.

Nowadays, knowledge and information is the largest asset of organizations and human beings and having it can lead to a powerful and certainly valuable organization. The purpose of this study is to identify the suitable knowledge acquisition and transfer tools in the National Iranian Oil Company (NIOC). This study is applied in terms of purpose and case study from the point of view of strategy. Given the economic conditions of the NIOC as well as the need for maximum use of the knowledge, experience and skills, it is essential to identify the more effective ways of transferring knowledge, especially to the new entrances. Using the mixed method, in the qualitative section identified the tools of knowledge acquisition and transfer by studying leading oil companies in the world in knowledge management and using the expert panel, the appropriate tools for NIOC were determined. In the quantitative part of the research using questionnaire tools and group analytical hierarchical Process (AHP) method, knowledge acquisition and transfer tools were prioritized. Findings demonstrate that the NIOC can be effective in organizing the available knowledge by focusing on community of practice, peer assist, community of learning and lessons learned.

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.

To be in line with the new environmental paradigms, the present study aims to design an Eco-friendly marketing pattern in Iran’s oil industry. The methodology is a sequential exploratory one. In the qualitative section, grounded theory is used. The creative data were gathered through a theoretical sampling of in-depth, semi-structured interviews of 15 experts from the oil industry. The initial model of the research was achieved with 19 (major) factors which were divided into 6 aspects according to the experts’ views: causal circumstances, the major factor, background circumstances, interventions, strategies and consequences. Next, in the quantitative section, the validity of the research was investigated through a surveying method and the questionnaire tool. The statistical population includes a limited number of managers and experts from the oil industry in research and planning fields, counting up to 170 people from whom 118 were selected through random sampling. After evaluating the reliability of the questionnaire, the questions themselves were validated and their number was narrowed down. Carrying out an explanatory factor analysis, the components were reduced to 14 and the dimensions to 5. The relationship between the dimensions was assessed through the correlation test and then the final pattern was designed. Eventually, the theory of the study was developed under the supervision of experts. The significant results of this study were finding the interventions, including productivity, governmental support, social institutions, and sustainable development along with the strategies, including reviewing the energy section structure, improving the managers’ perspectives and developing the green investments.

Iran, as the fifth country in the field of crude oil production and the second largest gas producer in the world, is apt to the growth and development of the petrochemical industry, as the largest exporter of non-oil products, has a significant role in economic prosperity. In this respect, considering the sanctions of recent years on the export of crude oil and the situations of selling crude oil, it is important to pay attention to this industry as an effective factor in circumventing the sanctions as well as currency appreciation. In this study, the factors affecting the supply of urea exports to the export destinations of the UAE, Turkey, China and India in the period 2001-2009 are examined and analyzed. According to the studies, the factors that have affected the supply of Iranian urea exports can be referred to as GDP of target countries, real exchange rate, exchange rate fluctuations, trade liberalization, price exchange relationship, refinery raw materials prices and sanctions as livestock variables. . In this study, the real exchange rate volatility index was estimated using the GARCH model and then the supply model of Iranian urea exports was estimated by ARDL pattern. According to studies, the variables of GDP and trade liberalization have a significant positive effect on the supply of Iran exports in the short and long term, but other variables have a significant negative effect on the supply of Iran exports in the short and long term.

The present article aims to examine the risk of host governments’ interference with the property of foreign investors (expropriation) in the petroleum industry. Host states have the police power to make regulatory changes. The ‘police power’ is defined as the inherent and plenary power of a sovereign to make all laws necessary and proper to preserve the public security, order, health, morality, and justice. It is a fundamental power essential to government, and it cannot be surrendered by the legislature or irrevocably transferred away from government. The government can interfere with the contract and change the contract terms or may even directly take the investment. This is the main reason for international petroleum disputes and international arbitration practice has addressed such risk. For this purpose, the concept of property and compensable property rights under international law are of great significance. Indeed, expropriation conveys a deprivation of a property owner of this property. This paper assesses the concept of expropriation, the international legal requirements for a lawful expropriation, and then, analyses the relevant international arbitral awards in petroleum jurisprudence.

Today, management requires a new approach in the areas of production planning and operations process with a cost management approach. Organizations and industrial units to lead their lives, by recognizing the impact points of the challenges ahead and positive impact, guide and lead them to advance the goals of the organization. Economic dispatching with particle swarm optimization algorithm approach is an approach in the field of industrial units. Dispatching tries to determine the share of production capacity in a way that optimizes the overall performance of the system economically and improve system performance, including: production and process planning, supply and demand balance, cost management, productivity growth, optimal allocation of resources according to the capacity of tanks, formulation of production and operational strategies, the impact on the strategic vision document. In this research, an attempt has been made to perform economic dispatching with the approach of particle swarm optimization algorithm with hypothetical information to measure the feasibility of implementation and its impact on the overall performance of the system and production process and operations.