• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

线性回归方法评估绿色供应链管理对工业组织绩效的影响。

A linear regression approach to evaluate the green supply chain management impact on industrial organizational performance.

机构信息

Master in Engineering Management, Faculty of Management Sciences, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Pakistan.

Department of Management Science & Humanities, Ghulam Ishaq Khan Institute of Engineering Sciences & Technology, Topi, Swabi, KPK, Pakistan.

出版信息

Sci Total Environ. 2018 May 15;624:162-169. doi: 10.1016/j.scitotenv.2017.12.089. Epub 2017 Dec 14.

DOI:10.1016/j.scitotenv.2017.12.089
PMID:29248705
Abstract

The increase in the environmental pollution is one of the most important topic in today's world. In this context, the industrial activities can pose a significant threat to the environment. To manage problems associate to industrial activities several methods, techniques and approaches have been developed. Green supply chain management (GSCM) is considered one of the most important "environmental management approach". In developing countries such as Pakistan the implementation of GSCM practices is still in its initial stages. Lack of knowledge about its effects on economic performance is the reason because of industries fear to implement these practices. The aim of this research is to perceive the effects of GSCM practices on organizational performance in Pakistan. In this research the GSCM practices considered are: internal practices, external practices, investment recovery and eco-design. While, the performance parameters considered are: environmental pollution, operational cost and organizational flexibility. A set of hypothesis propose the effect of each GSCM practice on the performance parameters. Factor analysis and linear regression are used to analyze the survey data of Pakistani industries, in order to authenticate these hypotheses. The findings of this research indicate a decrease in environmental pollution and operational cost with the implementation of GSCM practices, whereas organizational flexibility has not improved for Pakistani industries. These results aim to help managers regarding their decision of implementing GSCM practices in the industrial sector of Pakistan.

摘要

环境污染的加剧是当今世界最重要的议题之一。在这种情况下,工业活动可能对环境构成重大威胁。为了应对与工业活动相关的问题,已经开发了几种方法、技术和方法。绿色供应链管理 (GSCM) 被认为是最重要的“环境管理方法”之一。在巴基斯坦等发展中国家,GSCM 实践的实施仍处于起步阶段。由于缺乏对其对经济绩效影响的了解,企业担心实施这些实践。本研究旨在了解 GSCM 实践对巴基斯坦组织绩效的影响。在本研究中,考虑的 GSCM 实践包括:内部实践、外部实践、投资回收和生态设计。而,所考虑的绩效参数包括:环境污染、运营成本和组织灵活性。一组假设提出了每种 GSCM 实践对绩效参数的影响。因子分析和线性回归用于分析巴基斯坦工业的调查数据,以验证这些假设。本研究的结果表明,实施 GSCM 实践可降低环境污染和运营成本,而巴基斯坦工业的组织灵活性并未提高。这些结果旨在帮助管理者做出在巴基斯坦工业部门实施 GSCM 实践的决策。

相似文献

1
A linear regression approach to evaluate the green supply chain management impact on industrial organizational performance.线性回归方法评估绿色供应链管理对工业组织绩效的影响。
Sci Total Environ. 2018 May 15;624:162-169. doi: 10.1016/j.scitotenv.2017.12.089. Epub 2017 Dec 14.
2
Identifying the critical factors of green supply chain management: Environmental benefits in Pakistan.识别绿色供应链管理的关键因素:巴基斯坦的环境效益。
Sci Total Environ. 2018 Nov 1;640-641:144-152. doi: 10.1016/j.scitotenv.2018.05.231. Epub 2018 May 30.
3
Assessing the role of green supply chain management in enhancing Pakistan manufacturers' performances.评估绿色供应链管理在提升巴基斯坦制造商绩效方面的作用。
Environ Sci Pollut Res Int. 2023 Jul;30(32):78495-78506. doi: 10.1007/s11356-023-27473-5. Epub 2023 Jun 4.
4
The complementarity of green supply chain management practices and the impact on environmental performance.绿色供应链管理实践的互补性及其对环境绩效的影响。
J Environ Manage. 2019 Jul 15;242:186-198. doi: 10.1016/j.jenvman.2019.04.078. Epub 2019 May 3.
5
Critical success factors for adopting green supply chain management and clean innovation technology in the small and medium-sized enterprises: A structural equation modeling approach.中小企业采用绿色供应链管理和清洁创新技术的关键成功因素:一种结构方程建模方法。
Front Psychol. 2022 Nov 3;13:1008982. doi: 10.3389/fpsyg.2022.1008982. eCollection 2022.
6
Sustainability in Pakistan's textile industry: analyzing barriers and strategies for green supply chain management implementation.巴基斯坦纺织业的可持续性:分析绿色供应链管理实施的障碍和策略。
Environ Sci Pollut Res Int. 2023 Apr;30(20):58109-58127. doi: 10.1007/s11356-023-26687-x. Epub 2023 Mar 28.
7
Exploring the technical and behavioral dimensions of green supply chain management: a roadmap toward environmental sustainability.探索绿色供应链管理的技术和行为维度:迈向环境可持续性的路线图。
Environ Sci Pollut Res Int. 2022 Sep;29(42):63444-63457. doi: 10.1007/s11356-022-20352-5. Epub 2022 Apr 23.
8
Post-COVID-19's impact on green supply chain management and sustainable E-commerce performance: the moderating role of big data analytics.后 COVID-19 对绿色供应链管理和可持续电子商务绩效的影响:大数据分析的调节作用。
Environ Sci Pollut Res Int. 2023 Nov;30(54):115683-115698. doi: 10.1007/s11356-023-30581-x. Epub 2023 Oct 27.
9
Green food supply chain management as a solution for the mitigation of food supply chain management risk for improving the environmental health level.绿色食品供应链管理作为缓解食品供应链管理风险以提高环境健康水平的一种解决方案。
Heliyon. 2023 Feb 14;9(2):e13264. doi: 10.1016/j.heliyon.2023.e13264. eCollection 2023 Feb.
10
Factors affecting managers' intention to adopt green supply chain management practices: evidence from manufacturing firms in Jordan.影响管理者采用绿色供应链管理实践意愿的因素:来自约旦制造企业的证据。
Environ Sci Pollut Res Int. 2022 Jan;29(4):5605-5621. doi: 10.1007/s11356-021-16022-7. Epub 2021 Aug 23.

引用本文的文献

1
Green innovation behaviour: Impact of industry 4.0 and open innovation.绿色创新行为:工业4.0与开放式创新的影响
Heliyon. 2023 May 25;9(6):e16524. doi: 10.1016/j.heliyon.2023.e16524. eCollection 2023 Jun.
2
Green supplier evaluation with SWARA-TOPSIS integrated method to reduce ecological risk factors.采用 SWARA-TOPSIS 集成方法的绿色供应商评价,以降低生态风险因素。
Environ Monit Assess. 2019 Nov 9;191(12):736. doi: 10.1007/s10661-019-7884-3.