درخت حوزه‌های تخصصی

One of the most important parts of the green supply chain management (GSCM) is the green supplier. The green supplier selection process has a vague nature. Therefore, specific approaches, such as fuzzy, are necessary during their evaluation. On the other hand, the choice of a coherent and integrated strategy is vital to achieve lean and green production. Accordingly, the present study aimed to select suppliers based on lean green production indicators by goal programming, fuzzy DEMATEL and quality performance expansion. The statistical population of this study consisted of personnel (managers, assistants and experts) with 16 managers and assistants and 46 experts. In this research, the Cochran formula (including error percentage of 5%) was used to determine the number of statistical samples. Accordingly, 53 experts from Pars Khodro Company participated as a sample (by simple random sampling method). In order to analyze the data, fuzzy DEMATEL methods, expansion of fuzzy performance quality and goal programming were used. According to the findings of the present study, continuous improvement to achieve lean green indicators is the main element of the production system at Pars Khodro Company. The important aspect of determining how much damage would be bestowed on the best supplier, so that it would be possible to determine the least amount of damage in sum, was reviewed in this section. In other words, the lowest possible losses are based on the suffering of the current  losses, the supplier and in which level of losses it has the most optimal status.

The purpose of this study is to investigate the role of e-commerce marketing capabilities in enhancing Iranian carpet export capabilities via a paradigmatic model. In fact, the present study seeks to identify various factors that may influence the role of electronic marketing capabilities in promoting Iranian carpet export capacity. The identified strategies obtained from the paradigmatic model in this study are ranked in order to develop an understanding of the strength of their effects on the outcomes of e-marketing at the international level. In terms of research philosophy, the present study is based on interpretive paradigm and is considered an applied-developmental research in terms of research orientation. The data were collected using semi-structured interviews and a standardized questionnaire. The study population consisted of experts and managers of the carpet industry in Iran, who were selected using purposive sampling. Data analysis was carried out using theme analysis approach in MAXQDA software, and quantitative data were analyzed using interpretive structural modeling in Excel software. The main finding of the present study is to introduce a paradigmatic model of the role of e-commerce marketing capabilities in promoting Iranian carpet export capability. This model identifies and introduces contextual, causal, strategic, and intervening factors as well as the implications of developing e-marketing capabilities with the primary concern of promoting the country's carpet export capabilities. In addition, in the quantitative phase of the study, thirteen strategies affecting two categories of short-term and long-term outcomes were ranked based on the strength of their impact on outcomes.

The purpose of this study is to provide a comprehensive model for the assignment of unfinished construction projects with their economicization approach. This research was conducted qualitatively with the data theory of the foundation. For this purpose, a researcher with 26 experts and specialists in the fields of Management and Planning Organization, the Majlis Research Center and the provincial civil affairs department coordination that purposive sampling (snowball) were interviewed. The text of the interviews was uploaded in MAXQDA10 software and then open coded using the software. After extracting the codes, the main categories were extracted using axial coding. Then, by discovering the relationship between the central categories, and then by performing selective coding and identifying the central category, the desired model based on data theory is presented as a paradigm. The results of data analysis in the form of a template are: Underlying conditions (classification of unfinished construction projects, their economization and assignment of unfinished construction projects), causal conditions (the first step is to control and limit the approval of new projects, the next step is to classify and present a schedule, economic For all incomplete development projects and transfers based on the existing legal instruments of transfers and participation), intervention conditions (lack of proper use of the capacities of existing laws and failure to specify the general policy law of the forty-fourth principle in the transfer of projects, lack of Effective entry of the Privatization Organization due to the difficulties of assigning development projects to companies, lack of accurate information on development projects of state-owned companies and provincial projects, between the systemic nature of the issue and the unclear method of pricing projects), strategies (codification of legal prerequisites, preparation of regulations and systems related to the transfer, preparation of a list of the most probable cases of transferable projects, coordination of responsible bodies due to the inter-institutional nature of the issue and determination of prices through auctions, negotiations, etc. Depending on the application of each method) and the outcome (creating sufficient motivation for managers, operators and current stakeholders of projects and projects by creating a method of returning the saved resources from investment with the participation of the private sector, aggregation and refinement A set of relevant and effective regulations and the availability of all laws and regulations governing private sector investment in development projects, the dissemination of information on all projects in the electronic system and public access to all investable applications as well as contract terms and all subsequent contract developments. The entire duration of the construction, operation or transfer, full transparency of the transfer process to reduce rent-seeking behaviors and pave the way for private sector activity).  

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 .