Green Supply Chain Quality Management and Corporate Green Performance: Structural Equation Modeling based on the PLS Method

被引:0
作者
Touil, Anass [1 ]
Babounia, Aziz [1 ]
机构
[1] UIT, Res Lab Management Sci Organisat, Kenitra, Morocco
来源
2022 14TH INTERNATIONAL COLLOQUIUM OF LOGISTICS AND SUPPLY CHAIN MANAGEMENT (LOGISTIQUA2022) | 2022年
关键词
Covid-19; green quality management; green logistics; ecological performance; and logistics 4.0; INNOVATION; IMPACT;
D O I
10.1109/LOGISTIQUA55056.2022.9938075
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:155 / 160
页数:6
相关论文
共 39 条
[31]   Sustainable consumption and production in business decision-making models [J].
Tseng, Ming-Lang ;
Chiu, Anthony S. F. ;
Liang, Dong .
RESOURCES CONSERVATION AND RECYCLING, 2018, 128 :118-121
[32]   Identifying the competitive determinants of firms' green supply chain capabilities under uncertainty [J].
Tseng, Ming-Lang ;
Tan, Kimhua ;
Chiu, Anthony S. F. .
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2016, 18 (05) :1247-1262
[33]   Evaluating firm's green supply chain management in linguistic preferences [J].
Tseng, Ming-Lang ;
Chiu, Anthony S. F. .
JOURNAL OF CLEANER PRODUCTION, 2013, 40 :22-31
[34]  
Walton S.V., 1998, International Journal of Purchasing and Materials Management, P2, DOI DOI 10.1111/J.1745-493X.1998.TB00042.X
[35]   Green process innovation, green product innovation, and corporate financial performance: A content analysis method [J].
Xie, Xuemei ;
Huo, Jiage ;
Zou, Hailiang .
JOURNAL OF BUSINESS RESEARCH, 2019, 101 :697-706
[36]   Investigating the relationship between green supply chain management and corporate performance using a mixed method approach: Developing a roadmap for future research [J].
Younis, Hassan ;
Sundarakani, Balan ;
O'Mahony, Barry .
IIMB MANAGEMENT REVIEW, 2020, 32 (03) :305-324
[37]   The impact of implementing green supply chain management practices on corporate performance [J].
Younis, Hassan ;
Sundarakani, Balan ;
Vel, Prakash .
COMPETITIVENESS REVIEW, 2016, 26 (03) :216-245
[38]   The impact of supply chain quality integration on green supply chain management and environmental performance [J].
Yu, Yubing ;
Zhang, Min ;
Huo, Baofeng .
TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE, 2019, 30 (9-10) :1110-1125
[39]  
Zsidisin G.A., 2001, EUROPEAN J PURCHASIN, V7, P61, DOI [10.1016/S0969-7012(00)00007-1, DOI 10.1016/S0969-7012(00)00007-1]