供应链
业务
供应链管理
持续性
组织绩效
过程管理
背景(考古学)
知识管理
营销
计算机科学
生态学
生物
古生物学
作者
Kenneth W. Green,Pamela J. Zelbst,Vikram S. Bhadauria,Jeramy Meacham
出处
期刊:Industrial Management and Data Systems
[Emerald Publishing Limited]
日期:2012-03-09
卷期号:112 (2): 186-205
被引量:193
标识
DOI:10.1108/02635571211204254
摘要
Purpose The purpose of this paper is to contribute significantly to the first wave of empirical investigations related to the impact of green supply chain management practices on environmental and organizational performance from a manufacturer's perspective within a supply chain context. Design/methodology/approach An environmental collaboration and monitoring performance model is theorized and assessed following a structural equation methodology. Data were collected from 159 manufacturing managers through an on‐line survey. Findings Environmental collaboration and monitoring practices among supply chain partners are found to lead to improved environmental performance and organizational performance. Research limitations/implications As a first wave investigation of the impact of green supply chain management practices on performance, the study is somewhat exploratory. Practical implications Practitioners are provided with a framework for assessing the impact of environmental collaboration and monitoring practices among supply chain partners on environmental performance and organizational performance. The study provides evidence that green supply chain practices lead to improved environmental and organizational performance. Social implications The results also have important societal implications. While green supply chain management practices enhance the economic sustainability of the firm, they also positively impact society through improvements to the overall environment. Originality/value The results of this investigation support the proposition that implementation of environmental collaboration and monitoring practices by supply chain partners are both environmentally necessary and good business. The paper provides manufacturing managers with a structured approach to improving both environmental and organizational performance through environmental collaboration and monitoring with customers and suppliers.
科研通智能强力驱动
Strongly Powered by AbleSci AI