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Green Supply Chain Quality Management and Corporate Green Performance: Structural Equation Modeling based on the PLS Method Axe: Green and Sustainable Supply Chain
14th IEEE International Conference of Logistics and Supply Chain Management, LOGISTIQUA 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2161471
ABSTRACT
This research aimed to examine the impact of Green Supply Chain Quality Management (GSCQM) on Corporate Green Performance (CGP). A questionnaire was distributed to a sample of (113) practitioners of large multinational companies in the industrial sector and which are established in Morocco. Data were analyzed using PLS-Smart software which is specialized in structural equation modeling. The software was used to determine whether the tin dimensions of Green Supply Chain Quality Management (i.e. independent variable);Green Human Resource Management, Green Leadership Behavior, Green Supplier Quality Management, Customer Focus, Process Management, Information and Analysis, Eco-Design, Green Purchasing, Environmental Cooperation, and Reverse Logistics have a significant impact on Corporate Green Performance(i.e. dependent variable). The software was also used to test the two mediation variables, namely Green Organizational Culture and Green Innovation. The findings revealed that the practices of « Green Supply Chain Management are having a significant impact on green innovation;and the implementation of the « Green Supply Chain Management has a positive effect on Corporate Green Performance. However, Green Organizational Culture and Green Innovation did not have a significant impact on Corporate Green Performance according to the respondents' ratings. Therefore, this study is based on two main theories, namely cost theory, institutional theory, green theory, stakeholder theory and resource-based theory. © 2022 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 14th IEEE International Conference of Logistics and Supply Chain Management, LOGISTIQUA 2022 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 14th IEEE International Conference of Logistics and Supply Chain Management, LOGISTIQUA 2022 Year: 2022 Document Type: Article