درخت حوزه‌های تخصصی

In today's competitive world, competition from the level of companies is drawn to the competition between their supply chain. The purpose of this study was to design and validate a suitable model for identifying and ranking effective factors and key indicators related to the performance of the organization in the supply chain of Saipa Company . The research method is objective and applied in terms of method, descriptive and correlation. The research tool was in the qualitative section, interview and in the quantitative section, a questionnaire. Data analysis in the qualitative section was used to identify the dimensions of the variables with the help of the industry's elite and through the analysis of the fuzzy Delphi, which ultimately resulted in 179 components in four factors: " T echnology C apability", " I nnovation C apability", " C ompetitive A dvantage" and " Organizational P erformance" is identified. Fuzzy hierarchy analysis was used to rank the identified factors . In the quantitative section, structural equations were used to fit the model. In this regard, after reviewing theoretical literature and drawing up the original model, the research questionnaire was distributed along with the dimensions of 350 experts and managers of the Saipa group and supply chain. The reliability of the questionnaire was confirmed by factor load method, Cronbach's A lpha and composite reliability coefficient (CR) and its validity was confirmed by convergent validity (AVE) and divergent validity. To evaluate the structural model, three coefficients of determination (R 2 ), index (Q 2 ) and statistics (GOF) have been used . The dimensions of each of the variables and the prioritization of the dimensions of the variables were determined. The results were analyzed using Structural Equation Modeling (SEM) and Software (SPLS) and the relationship between the factors was obtained and the proposed model was confirmed using factor analysis and structural equation modeling techniques . According to the results of the verifiable analysis of this research model, it was found that the performance of the organization depends on the dimensions of " I nnovation C apability", " T echnology C apability" and " C ompetitive A dvantage" in the supply chain, and has a positive and significant effect .

The objective of the research is to clarify what Blockchain technique is and the developments of its various uses, and identify the accounting perspective of this technique and the possibility of using it in accounting work. It also aims at demonstrating how to utilize its Blockchain technique in accounting information systems, and identify the most important potential effects of the use of technique in accounting information systems. To achieve the research objectives, a descriptive approach was adopted to discuss the fundamentals of Blockchain technique and its most important accounting implications, in addition, its significance for the usefulness and reliability of the development of automated computing accounting systems. The researchers concluded that the use of Blockchain technology for accounting work requires analysis of the related impact on the development of accounting information systems in terms of their implementations and modules, with the need to fully transition in the design of accounting information systems to electronic sophisticated programs and applications developed and technologically advanced.

Choosing the financial supply is one of the most important decisions for providing optimal structure that can be effective for firm value and stocks market of companies. Therefore, marketing as one of the abilities of the firm can be effective on firm function. The purpose of this research is studying the role of marketing intensity on the relation of financial leverage and firm function in Companies listed on the Tehran Stock Exchange. This study is performed between 2012 and 2016 and 103 firms are studied in this research. The independent variables in this research are financial leverage and marketing intensity. The dependent variable is firm evaluation that Tobin's Q is used for evaluating this variable. For evaluating the research variables, Eviews 9 software is applied. The research findings illustrate there is not a U relation between financial leverage and firm function and marketing intensity is not a moderator between these two variables.