مطالب

The article examines the nature of the relationship between environmental pollution and economic growth in Ukraine. An Data intelligence analysis of the dependence of pollutant emissions on GDP per capita and other factors of Ukraine's economy for the period from 1996 to 2018. The results of the econometric analysis confirm the theory of the Environmental Kuznets Curve. To prevent environmental and economic catastrophes, it is necessary to increase the gross regional product per capita, and this should be done by diversifying the economy, investing in clean production, and modernized equipment.

The main challenging issues for e-commerce operators are building trust in customers to make purchases and gaining a suitable position in the minds of consumers to repeat purchases. Therefore, this research aims to identify the effective factors of word of oral electronic marketing on brand equity. For this purpose, the researcher tried to use the grounded qualitative research method (Glaserian grounded theory) and, with the help of MAXQDA software, to identify and present the dimensions, components, and indicators of oral electronic marketing effective on "brand equity" from the analysis of theoretical bases, upstream documents, and interviews with experts. This research is in the category of applied-developmental research, and in terms of method, strategy, and nature, it is part of exploratory qualitative research, whose philosophy is based on the interpretative-constructive paradigm. It has a single time horizon, collects data from both documentary and field methods, and its tool is recording in the documentary (library) section and interviews in the field section. The statistical population of this research is experts in the fields of human resources management, marketing, and branding; managers and vice-presidents; and employees of e-commerce companies. Based on research findings, oral electronic marketing has two dimensions: technical and technological factors and individual factors, and the dimension of technical and technological factors includes the components of electronic marketing tools and situational features, message features, and the dimension of human factors includes the components of individual factors and interpersonal factors. The special value of the brand also has two dimensions of consumer perception and consumer behavior. The dimension of consumer perception includes the components of brand association, perceived quality, and brand awareness, and the dimension of consumer behavior includes the components of brand loyalty, customer relationships, and brand consistency.

The automotive industry, as a job-creating and infrastructure industry, needs an executive model for success in the domestic and international markets. In this regard, the present study has been conducted with the aim of designing a model for implementing the fourth generation industry to achieve sustainable development goals in Iran Khodro Company. The study is an applied-developmental study in terms of purpose and cross-sectional survey research. Also, in this study, a mixed research method (qualitative-quantitative) was used. Content analysis method and MaxQDA software were used for data analysis in the qualitative section. Then, using Interpretive Structural Modeling (ISM) with MICMAC software, the initial pattern was drawn. In the quantitative section, one-sample t-test and SPSS software were used to measure the current situation. The research findings showed that the Collection and Analysis of Big Data affects the Simulation and Automatic Robots. These factors affect horizontally and vertically integration systems and thus lead to the Internet of Industrial Things, Augmented Reality and Cyber Security. Further, through the Cloud Computing system, Additive Manufacturing is affected and this Additive Manufacturing leads to Sustainable Development.

Introduction: Today, competitive intelligence and ethics play a valuable role in promoting sustainable competitive advantage and technology commercialization capabilities of companies. According to the current competitive environment, companies are looking for a suitable solution for survival and durability. Therefore, the present research was conducted with the aim of analyzing the relationship between competitive intelligence activities and ethics and sustainable competitive advantage and technology commercialization capabilities. Material and Methods: This research was applied and among descriptive-correlation researches. The statistical population was managers and experts in the fields of research and development, quality, marketing, commerce, sales, production, training, human resources and information technology of 11 large dairy companies in Tehran and Fars provinces. The sample size of the research was 306 people, and they were selected by cluster sampling method. The questionnaire tool was made by the researcher and finally the data were analyzed through SPSS 26 and Smart PLS 3 with structural equation modeling method. Results: The results showed that the proposed model has a good fit for Iran's dairy industry. Competitive intelligence and ethics activities have a significant effect on sustainable competitive advantage and technology commercialization capabilities. Also, technology commercialization capabilities have a significant effect on the sustainable competitive advantage of companies. Conclusion: Using the current research model in the dairy industry improves sustainable competitive advantage. Companies can help improve sustainable competitive advantage by considering competitive intelligence and ethics and technology commercialization capabilities.

Tax is one of the primary sources of government revenue which is a principal part of the government budget and is considered an inevitable part of corporate payments. The Board of directors is one of the chief decision-making groups in determining corporate tax avoidance. Therefore, the relationships seen in the form of a social network between the board members of various companies can affect the tax policy of companies. The primary purpose of this study is to examine the structure of relationships between companies based on their joint board members and to detect the relationship between the companies position in the network of board members' relations with their tax planning activities. The statistical population of this research was all companies listed on the Tehran Stock Exchange from 2011 to 2020. The social network analysis approach developed on graphic techniques based on graph theory and regression analysis was used to conduct the research analysis. The research results show that some companies active in the Tehran Stock Exchange have a better position than other companies in the network. In addition, evidence showed that the status and position of companies in the network of relationships could affect the extent of their tax avoidance.