-
Open Access Article
1 - Ranking of Indicators of Green Supply Chain Management in the Cellulose Industry Using EDAS-SEM Method
majid nili ahmadabadi omidali adeli ,mohammad cheraghiBackground and Objective: Cellulose industries are closely related to forests and natural resources, and on the other hand, the chemicals used in them are sometimes transferred to nature. Therefore, they can affect the environment in two ways and therefore have an urgen MoreBackground and Objective: Cellulose industries are closely related to forests and natural resources, and on the other hand, the chemicals used in them are sometimes transferred to nature. Therefore, they can affect the environment in two ways and therefore have an urgent need for management with a green approach, especially in the field of supply chain. Achieving this is possible by finding the most effective factors in implementing green supply chain management in this industry, which has been done in this research. In previous similar studies, the weight of the same factors has often been considered, and in addition, the weight of the interviewees has been considered the same when collecting data. In this paper, both problems have been solved by using EDAS-SEM methods and a more valid ranking of the components of green supply chain management in the cellulose industry has been presented.To provide a green supply chain management model in the cellulose industry, including transparent factors and accurate weights so that it can be used to measure the performance of managers in this area and to suggest the most effective factors for future promotion to managers.Material and Methodology: This research is qualitative and survey in how to collect data and quantitative in processing them. In terms of practical purpose and in terms of method, it is mixed. Modeling and analysis methods include entropy, EDAS, SEM. The statistical population is 63 managers of Qom cellulose production industries, for whom a questionnaire was sent in 2019, and 55 were completed. Therefore, sampling method, sample is available. Data collection tool is a questionnaire and data analysis tool is confirmatory factor analysis with partial least squares approach and SmartPLS3 software. Excel was used for entropy and EDAS calculations.Findings: The most important indicators of green supply chain performance in Qom cellulose products industries are selecting suppliers with environmental criteria, determining environmental requirements for purchasing items and auditing compliance with environmental regulations. Also, the weight of managers varies according to the characteristics of the elites. These findings can be generalized to other cellulose industries.Discussion and Conclusion: The proposed model can be used for a better future in the management of the green supply chain of cellulose industries by evaluating the performance of managers in senior and middle levels at the organizational and unit levels. The achievements of this research can also be used to identify the most important factors at each level and allocate future resources to them. Manuscript profile -
Open Access Article
2 - Impact of Closed-Loop strategic Orientation on performance by Explaining Mediating Role of Green Supply Chain Management in Iran khodro Company
Arsalan Iraji rad Fatemeh ParsamehrThe purpose of this research was investigating the impact of closed-loop strategic orientation on performance by explaining mediating role of green supply chain management in Iran Khodro Company. The type of research is descriptive-correlative research that is done thro MoreThe purpose of this research was investigating the impact of closed-loop strategic orientation on performance by explaining mediating role of green supply chain management in Iran Khodro Company. The type of research is descriptive-correlative research that is done through survey method. Statistical population of research is the managers and experts of Iran Khodro Company, that they were 3050 persons. The sample size was 342 persons throught using the Krejcie and Morgan table. The sampling method was simple random sampling method.Main tool of this research is a questionnaire that it`s validity is obtained by using panel of experts and masters in the industrial management field. The reliability of the questionnaire is done through pre-test and it is confirmed. Structural equation model is used for analyzing of data by Spss and Lisrel softwares. Hypotheses were investigated by structural equation model and was seen that closed-loop strategic orientation with path coefficients of 0.60, 0.43, 0.27, and 0.59 had a positive and significant effect on environmental performance variables, positive economic performance, negative economic performance, and green supply chain management practices, respectively. Green supply chain management measures with path coefficients of 0.55, 0.41 and 0.37 have positive and significant effects on environmental performance, positive economic performance and negative economic performance, respectively. The Sobel test results also indicate the mediating role of green supply chain management measures in the relationship between closed-loop strategic orientation variables with environmental performance variables, positive economic performance, negative economic performance. Manuscript profile -
Open Access Article
3 - شناسایی ورتبه بندی محرک ها ی مؤثر بر پیاده سازی"مدیریت زنجیره تأمین سبز" (Fuzzy Topsis) با استفاده از تکنیک تصمیم گیری چند شاخصه
مسعود احمدی فاطمه طاهری سمانه ترک -
Open Access Article
4 - Presenting a Conceptual Model of Green Supply Chain Management to Improve Sustainable Development of the Environment with a Qualitative Approach Grounded Theory
Zahra Delshad Mozhde Rabbani Hasan Dehghan DehnaviThe green supply chain management model is to protect the environment, and companies can use it to reduce the negative environmental impacts according to the future and achieve the optimal use of resources and energy. Objective: The purpose of this study is to identify MoreThe green supply chain management model is to protect the environment, and companies can use it to reduce the negative environmental impacts according to the future and achieve the optimal use of resources and energy. Objective: The purpose of this study is to identify and formulate a conceptual model of green supply chain management in the Petrochemical industry of Fars province using the qualitative method Grounded Theory. Method: The method of data collection is the study of documents and interviews with 20 experts aware of the subject under discussion, using the method of snowball sampling. The validity of this study was reviewed and confirmed by the interviewees and then expert professors. To analyze the data, continuous comparison method was used during three stages of open, axial, and selective coding, based on which a qualitative research model was designed. Findings and Results: The results of the present study indicate the extraction of 120 codes or basic concepts from interviews and 21 criteria in the form of a paradigm model with MAXQDA software including causal conditions (design of green processes, customers and other external institutions, green innovation), background conditions. (Drivers of green materials supply, implementation of waste management system, financial thoughts and costs of the organization), intervention conditions (environmental management approaches, green supply chain risks, green suppliers' capabilities, human resource management), phenomenon-based environmental factors Economic (operational performance), strategies (management, technology, economics, policy-making), outcomes (green supply chain enablers, credit enhancement, institutionalization of technology equipment and know-how, energy management and optimization). Manuscript profile -
Open Access Article
5 - Interpretative Structural Modeling for Assessing Incentives Identified in the Implementation of Green Supply Chain Management
Mohamad Mirabi Zahra DelshadGreen supply chain management activities can improve company reputation and customer satisfaction and Environment initiatives and resource efficiency, thereby improving the company's economic performance. Among the factors that influence the adoption of green supply cha MoreGreen supply chain management activities can improve company reputation and customer satisfaction and Environment initiatives and resource efficiency, thereby improving the company's economic performance. Among the factors that influence the adoption of green supply chain management, external stimuli have more power than inter-organization. The improvement of the quality of goods and services, cost savings and increased efficiency in the manufacturing industry are known as powerful stimuli. In this research, firstly, by reviewing the theoretical issues, the main factors of the green supply chain drivers have been identified in one of the manufacturing industries and then, using the method of interpretive structural modeling, the relationships between the factors have been analyzed. The results of this study indicate that the identified factors can be classified into five levels based on the interpretive structural model, and the factor of international and state laws and regulations for the organization's commitment to the implementation of green supply chain management has been identified as the most influential factor. Having it can cause many other factors. Also, in terms of the degree of penetration and dependence, factors that are more important and at lower levels, most of them are located in an independent region with high penetration and low degree of dependency. Manuscript profile -
Open Access Article
6 - Enhancing Green Productivity via A Two-Level Green Supply Chain Management Practice Model and Importance Analysis: Bushehr Petrochemical Industries
Ahmad GhorbanpoorIn the present era, green supply chain management is considered as an important organizational philosophy in reducing environmental hazards and a preventive approach to increase organizational performance. Different industries are obliged to enforce environmental compli MoreIn the present era, green supply chain management is considered as an important organizational philosophy in reducing environmental hazards and a preventive approach to increase organizational performance. Different industries are obliged to enforce environmental compliance during various supply chain processes to meet environmental obligations in their production or service activities. Hence, the main purpose of the current enquiry was to design a two-level model for green supply chain management practice and to analyze the relevant importance of each component, via fuzzy analysis, in enhancing green productivity in the Petrochemical Industry in Bushehr province, Iran. The research population consisted experts and specialists from both the industry and the university. The research data were gleaned through a researcher-made questionnaire. To serve the purpose, the study commenced with reviewing the existing literature via a qualitative content analysis approach which identified 12 important measures that can be taken in the field of green supply chain management. Having validated the Two-Level Model, the importance of each of the measures was computed via Fuzzy analysis. Finally, the managerial measures in Green Supply Chain were classified and, accordingly, suggestions were presented to the Petrochemical Industries Managers concerning how to improve their situation. Manuscript profile -
Open Access Article
7 - Presenting a Model of Factors Preventing the Implementation of Green Supply Chain Management in the Construction Industry (Meta-Synthesis Study)
Azam Tariyan Hessam ZandHessami Abbas KhamsehThe purpose of this article is to identify the inhibiting factors in the implementation of green supply chain management in the construction industry. This research is practical from the point of view of the goal and qualitative from the point of view of the type of dat MoreThe purpose of this article is to identify the inhibiting factors in the implementation of green supply chain management in the construction industry. This research is practical from the point of view of the goal and qualitative from the point of view of the type of data and analysis method. The socio-statistics of the research were all domestic and foreign scientific sources and databases that were investigated in the research. The search period for research sources is between 1392 and 1402 for domestic research and 2013 to 2023 for foreign research. The meta composition approach and interpretive paradigm were used to identify the components, and the Kappa coefficient was used to verify the reliability of the extracted data. In this regard, based on the keywords of the research, 749 relevant internal and external sources were evaluated and screened, and finally, based on the entry and exit criteria, 31 sources were left in the research basket for review, which was done using the content analysis method in the coding process. Again, 42 primary codes were extracted, which were categorized in the form of 7 concepts and 2 categories and presented as a conceptual model. Based on the findings of the research, the concepts: cultural and social, government and regulatory institutions, market, networking and participation were identified in the category of external barriers and concepts: financial, interorganizational and technological in the category of internal barriers to the implementation of green supply chain management in the country's construction industry. Manuscript profile -
Open Access Article
8 - شناسایی و اولویتبندی عوامل مؤثر بر مدیریت زنجیره تأمین سبز در صنعت فراساحل با رویکرد فرآیند تحلیل شبکهای (ANP) (مورد مطالعه: شرکت مهندسی و ساخت تأسیسات دریایی ایران)
جلال حقیقت منفرد فاطمه کریمی -
Open Access Article
9 - Dynamic modeling of systems to evaluate the factors affecting green supply chain management
Zahra Delshad Hamid Babaei Meybodi -
Open Access Article
10 - Identifying and Prioritizing Green Supply Chain Management Strategies Fuzzy Analysis Hierarchy Method
Farzaneh Mansouri Tayebeh Abasnejad
Sanad
Sanad is a platform for managing Azad University publications
Links
Related Centers
Technical Support
Official pages
The rights to this website are owned by the Raimag Press Management System.
Copyright © 2021-2024