درخت حوزه‌های تخصصی

Organizations enter international competitive markets because of different motivations such as: gaining international fame, long-term growth, increasing profitability, taking advantages of economies of scale, maturing domestic market, the intensity of competition in a domestic market, governmental rules and regulations; but actually, all of the companies aim to export performance improvement. According to the oil industry situation in Iran's vision, the 4th paragraph of general energy policies and, not having a comprehensive model of Iranian oil products export performance, this research could improve and develop this industry in international markets. This research method is phenomenology and statistical society includes export and marketing managers and experts in the oil industry. Non-probable sampling and snowball sampling method was used in this research. Regarding this qualitative research, semi-structured depth interview was used to gather information and 7 deep interviews were done regarding saturated rule. Structure, internal, interpretive and descriptive validity were used in order to Validation; for surveying reliability, revision while coding and surveying by another informed person were used to insure correct coding. After open, axial and selective coding and using Atlas.ti qualitative software, suggested antecedents of Iranian oil products export performance includes: market orientation, company resources, marketing mix, macro environment and items of Iranian oil products export performance includes: financial performance, customer satisfaction and customer retention. Most of the previous studies have focused on positivism and quantitative research methodology while we used the qualitative method in this research.

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.

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.