meta-heuristic algorithms
Ebrahim Farbod; Alireza Hamidieh
Abstract
Purpose: The purpose of this study is to explain the impact of green supply chain on economic performance, emphasizing the mediating role of green innovation, environmental management and quality management in companies listed on the Tehran Stock Exchange.Methodology: In this research, the multivariate ...
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Purpose: The purpose of this study is to explain the impact of green supply chain on economic performance, emphasizing the mediating role of green innovation, environmental management and quality management in companies listed on the Tehran Stock Exchange.Methodology: In this research, the multivariate perceptron neural network approach and modeling of variance-based structural equations in SPSS26 and SmartPls3.3.3 software have been investigated.Findings: The results show that green supply chain management affects economic performance and increases green innovation, environmental management and quality management of economic performance. The establishment of a green supply chain has led to the observance of environmental requirements, and by observing environmental requirements, labor productivity is improved through specialized training of employees.Originality/Value: In previous studies have not considered the pros and cons of the relationship between environmental management and labor productivity. In this study, according to the selection of companies listed on the Tehran Stock Exchange during the covid-19 period and the statistical sample selected by systematic elimination method and available sampling, these views were examined. Also, in the research method, most researches have only fitted the model with structural equations and regression equations, while in this research, the proposed model fits with multilayer perceptron neural network method and variance-based structural equations and finally to evaluate the performance prediction comparison model. Economically, the root mean square error index is used
Multi-Attribute Decision Making
Naeme Zarrinpoor; Mohsen Amiri; Mohammad Hadi Nematolahi
Abstract
The green construction industry has been emerged with the urbanization development, the global populatation growth, and growing demand for more sustainable and eco-friendly structures and it has been expanded quickly regarding some benefits such as energy and resources saving, less greenhouse gas emissions, ...
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The green construction industry has been emerged with the urbanization development, the global populatation growth, and growing demand for more sustainable and eco-friendly structures and it has been expanded quickly regarding some benefits such as energy and resources saving, less greenhouse gas emissions, and optimizing the health of residents. The urban development and planning based on green buildings is more complexed compared with the one based on regular buildings, and as a result, it seems necessary to design the accurate and comprehensive planning for identifying risk factors for the success of green buildings projects. This study is presented with the objective of the identification and evaluation of the risk for green buildings based on a real case study in the city of Shiraz. To this end, based on the opinions of experts team including consulting engineers, designers, executors, contractors, and the literature review, 17 criteria are identified as the most important factors and they are classified in 5 groups including policies and standards, economic factors, environmental factors, management factors, and technical and quality factors. The relationship between risk criteria and sub-criteria is studied with DEMATEL procedure and the ranking of risk criteria is done by applying the analytic network process (ANP). The results show that government policies and complicated approval procedures, the project delay, the lack of specific insurance for green buildings and the lack of accurate estimation of investment returning are the most important risk factors of green buildings that urban designers must focus on them to increase the successes of the new emerging green construction industry.