A gateway to realising sustainability performance via green supply chain management practices: A PLS–ANN approach

作者：

Highlights：

• Effectiveness of green practices in building sustainability performance among firms.

• Two-staged analysis revealed that some green practices are significant predictors.

• Interestingly, cooperation with customers is a significant but negative predictor.

• New knowledge is synthesized where sensible justifications are provided.

摘要

•Effectiveness of green practices in building sustainability performance among firms.•Two-staged analysis revealed that some green practices are significant predictors.•Interestingly, cooperation with customers is a significant but negative predictor.•New knowledge is synthesized where sensible justifications are provided.

论文关键词：Green supply chain management (GSCM),Sustainability performance,Partial least squares structural equation modelling (PLS–SEM),Artificial neural network analysis (ANN),Manufacturers,Malaysia

论文评审过程：Received 21 February 2018, Revised 6 April 2018, Accepted 7 April 2018, Available online 11 April 2018, Version of Record 19 May 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.04.013