دو ماهنامه بررسی های بازرگانی
سال بیست و دوم شماره 127 (مهر و آبان 1403)

The automobile industry has always been the focus of various government policies due to its Extensive backward and forward linkages in economy. Undoubtedly, the quality of policy and the effectiveness of laws and regulations play a fundamental role in shaping the growth of this industry. Therefore, in this article, in the period of 1368-1401, the regulation in the automobile industry has been studied. The results show that more than 260 laws have been enacted in this industry. Among the most important of these laws, “car imports and its parts” had the highest share with 80 cases (about 31%). Pricing with 46 laws (18 percent) and “vehicle technical and environmental standards” with 41 laws (about 16 percent) are in the next ranks. On the other hand, the Council of Ministers has enacted the most legislation in the automotive industry with 109 laws (42 percent). The Ministry of Industry, Mining and Trade with 50 cases (19 percent) and the Competition Council with 40 cases (15 percent) are in the next ranks of legislative institutons in the automobile industry. The number of laws enacted in this period and especially since 2017 shows that the government has made great efforts to regulate the industry and the automobile market. In this way, more than 62% of the enacted laws belong to the period 1397-1401. But the high gap between the factory price and the market price, the incompatibility of the price with the quality, is one of the most important signs of ineffective regulation.

Sustainable marketing is the main concern of car industry managers to change consumer behavior in order to achieve the country's sustainable development goals. The main problem of the current research is how to influence the behavior of consumers in the Iranian automobile industry through sustainable marketing. For this purpose, an interpretive method with an inductive approach was used. Also, in terms of the purpose, it is an applied-developmental research, and from the point of view of data collection, it is a non-experimental (descriptive) research. To achieve the goal of the research, a qualitative research design was used. The community of participants includes marketing professors and managers of the country's automotive industry. Sampling was done in a targeted way and theoretical saturation was achieved with 17 people. Semi-structured interview and ISM questionnaire were used to collect data. The coding results of the qualitative part were validated with the Holstein method and Cohen's kappa estimation. The validity of the questionnaire was confirmed by the formal method and the reliability of the questionnaire was also confirmed by estimating the internal correlation coefficient. Analysis and coding of the text of the interviews was done using the qualitative theme analysis method (theme) in MaxQDA 20 software. In the second part, structural-interpretive modeling method and MicMac 6 software were used to determine the relationships of structures and model design. The findings of the research showed that environmental factors, organizational factors, and customer factors affect sustainable infrastructure. Sustainable infrastructure leads to sustainable consumption behavior by influencing sustainable consumption strategy and social responsibility. Sustainable consumption behavior also leads to sustainable marketing by influencing environmental sustainability, economic sustainability and social sustainability.

Big data as a huge source of information can help industries to optimize their operations, processes and resources. The development and expansion of big data and technologies based on it has drawn the attention of many researchers to this issue. However, very little empirical evidence has been provided on the contribution of using big data to the financial performance of manufacturing plants and competitive advantage. Therefore, this study investigated the impact of the use of big data from a technical and individual point of view on financial performance in the milk and dairy products industry of Kerman province, emphasizing the competitive advantage in 2023. The statistical population in this research is 490 employees in the milk and dairy industries of Kerman province, and finally 215 people were selected as a sample using the Cochran-Ocan formula. The results showed that the technical and individual application of big data in industries has a positive and significant effect on financial performance with a mediating role of competitive advantage. Also, competitive advantage has a positive and significant effect on financial performance. Therefore, it can be said that factories that use big data technology in their production operations have created a competitive advantage for themselves, which will lead to an increase in their financial performance.

foreign products with the moderating role of product characteristics. This research is practical in terms of purpose and survey in terms of nature and method. The statistical population of the research includes consumers of foreign products in the city of Ardabil, due to the unlimited statistical population, the sample size was estimated to be 384 people, of which 288 people were able to complete the questionnaire. As mentioned, the data collection tool is a questionnaire that was distributed face-to-face. Structural equation modeling and confirmatory factor analysis, and SPSS and LISREL software were used to analyze the data. It is worth mentioning that the research results showed that nationalism has a positive and significant effect on consumer hostility. In addition, the negative and significant relationship between consumer hostility and consumption behavior of foreign products was also confirmed. Finally, it should be noted that although trust does not have a moderating role in the relationship between consumer hostility and consumption behavior of foreign products, perceived quality and perceived price (cost) play a moderating role in the relationship between consumer hostility and consumption behavior of foreign products.

The modern business environment in the 21st century is changing rapidly. The subsequent industrial upgrading and transformation as well as the rapid change in the economy have brought people to the comfortable life of today. However, many environmental problems have arisen with economic development, which deteriorate environmental quality and may ultimately harm ecological sustainability. The importance to the environment, reducing carbon emissions and reducing global warming has been the focus of many researchers, industries and companies. Various companies and organizations believe that any effort they make to improve the environment will improve their corporate image and thereby increase customer loyalty. The purpose of this research is structural analysis of green identity and consumer loyalty in tile and ceramic industry of Yazd province using structural equation modeling. This research was applied in terms of purpose and descriptive-correlation in terms of nature and method. In order to collect data, a questionnaire was used in this research. The statistical population of this research is the employees of Yazd tile and ceramic industry. The sampling method used in this research was the available sampling method. The results of this research showed that green organizational identity has a positive and significant effect on green innovation, green knowledge sharing, and customer loyalty. Also, the results of this research showed that sharing green knowledge has a positive and significant effect on customer loyalty and green innovation. Among other results of this research, we can mention the effect of green innovation on customer loyalty and the effect of the intermediary role of green knowledge sharing on the effect of green organizational identity on green innovation and customer loyalty.

The creation of value in the competitive era has become the creation of shared value between companies and customers. In such a situation, distributors are considered as an important and main factor as an intermediary between the producer and the customer in creating common value; However, the motivations of the distributors for value creation remain unclear and unknown to a large extent. Based on this, the aim of this research was to design a model of incentives for distributors' participation in creating value in the shoe industry of Tabriz. The research method was descriptive-causal. The statistical population of this research includes two sections of experts and all wholesale and retail shoe sellers in Tabriz. In this research, 12 experts participated in the first part and 384 major and retail shoe sellers in Tabriz city answered the questionnaires in the second part of the research. Two questionnaires were used to collect data. For data analysis, interpretive structural modeling and structural path modeling have been used. The findings of the structural-interpretive modeling section show that the motivations of distributors' participation in value creation in the shoe industry of Tabriz are placed in five levels, and each level has direct and indirect relationships with other levels. The most influential factor in the developed model was the product and the most influential of those were the expected benefits. Also, the test of the designed model has shown the appropriate validity and reliability of the model and the confirmation of the direct and indirect relationships of the motivations of distributors' participation in value creation and the verification of the designed model based on experimental data.