绿色供应链管理:对环境绩效和企业竞争力的影响

C. Tan, S. Zailani, Sieow Chin Tan, S. Yeo
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引用次数: 7

摘要

无节制的工业化导致环境污染,促使科学家、研究人员、政策制定者和生态学家不遗余力地努力,寻求迅速找到缓解进一步环境恶化的解决方案。绿色供应链管理(GSCM)是一个很有前景的发展,它承诺减少制造过程中的污染和浪费。GSCM通过提高制造效率、降低成本、提高产品质量和改善产品交付的机制来实现这一目标。本研究运用自然资源基础的观点,定量考察了实施GSCM对企业环境绩效和企业竞争力的影响。从122家抽样公司中收集数据,并以两种方式进行分析和评估。首先,使用偏最小二乘结构方程模型(PLS-SEM),结果表明“绿色采购”和“绿色供应商和客户合作”与企业环境绩效和企业竞争力都有显著的正相关关系。其次,使用重要性-绩效矩阵分析(IPMA),将“绿色采购”和“绿色供应商与客户合作”都映射到高重要性/高性能象限中。这些实用的建议是让机构优先考虑“绿色采购”和“绿色供应商与客户合作”的努力和资源,以最大限度地提高“绿色”投资的回报。
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Green supply chain management: impact on environmental performance and firm competitiveness
Unrestrained industrialisation resulting in environmental pollution has mobilised the unstinting endeavours of scientist, researchers, policy makers and ecologist in a quest to rapidly unearth solutions to mitigate further environmental deterioration. One promising ongoing development is green supply chain management (GSCM), which promises a reduction of pollution and waste in manufacturing. GSCM achieves this through the mechanism of improving manufacturing efficiency, by reducing costs, enhancing product quality and improving product delivery. This study applies the natural resource-based view, and quantitatively examines the impact of the implementation of GSCM on firm environmental performance, and firm competitiveness. Data was collected from 122 sampled firms, analysed, and evaluated in two ways. Firstly, using partial least squared-structured equation modelling (PLS-SEM), results indicate that 'green procurement', and 'green supplier and customer collaboration', have a significant positive relationship with both firm environmental performance, and, firm competitiveness. Secondly, using importance-performance matrix analysis (IPMA), both 'green procurement' and 'green supplier and customer collaboration' are mapped in the high in importance/high-performance quadrant. The practical recommendations are for organisations to prioritise efforts and resources towards 'green procurement' and 'green supplier and customer collaboration' in order to maximise the return on 'green' investment.
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