...
首页> 外文期刊>Benchmarking >Modeling the enablers of green supply chain management An integrated ISM - fuzzy MICMAC approach
【24h】

Modeling the enablers of green supply chain management An integrated ISM - fuzzy MICMAC approach

机译:为绿色供应链管理的推动者建模集成的ISM-模糊MICMAC方法

获取原文
获取原文并翻译 | 示例
           

摘要

Purpose - The purpose of this paper is to identify and develop the relationships among the green supply chain management enablers (GSCMEs), to understand mutual influences of these GSCMEs on green supply chain management (GSCM) implementation, and to find out the driving and the dependence power of GSCMEs. Design/methodology/approach - This paper has identified 35 GSCMEs on the basis of literature review and the opinions of experts from academia and industry. A nationwide questionnaire-based survey has been conducted to rank these identified GSCMEs. The outcomes of the survey and interpretive structural modeling (ISM) methodology have been applied to evolve mutual relationships among GSCMEs, which helps to reveal the direct and indirect effects of each GSCMEs. The results of the ISM are used as an input to the fuzzy Matriced' Impacts Croises Multiplication Appliqueea un Classement (MICMAC) analysis, to identify the driving and the dependence power of GSCMEs. Findings - Out of 35 GSCMEs 29 GSCMEs (mean ≥ 3.00) have been considered for analysis through a nationwide questionnaire-based survey on Indian automobile organizations. The integrated approach is developed, since the ISM model provides only binary relationship among GSCMEs, while fuzzy MICMAC analysis provides precise analysis related to driving and the dependence power of GSCMEs. Research limitations/implications - The weightage for ISM model development and fuzzy MICMAC are obtained through the judgment of few industry experts. It is the only subjective judgment and any biasing by the person who is judging might influence the final result. Practical implications - The study provides important guidelines for both practitioners, as well as the academicians. The practitioners need to focus on these GSCMEs more carefully during GSCM implementation. GSCM managers may strategically plan its long-term growth to meet GSCM action plan. While the academicians may be encouraged to categorize different issues, which are significant in addressing these GSCMEs. Originality/value - Arrangement of GSCMEs in a hierarchy, the categorization into the driver and dependent categories, and fuzzy MICMAC are an exclusive effort in the area of GSCM implementation.
机译:目的-本文的目的是识别和发展绿色供应链管理支持者(GSCME)之间的关系,了解这些GSCME对绿色供应链管理(GSCM)实施的相互影响,并找出驱动力和GSCME的依赖能力。设计/方法/方法-本文根据文献综述以及学术界和行业专家的意见确定了35个GSCME。进行了基于全国问卷的调查,对这些已确定的GSCME进行排名。调查和解释性结构建模(ISM)方法的结果已被用于发展GSCME之间的相互关系,这有助于揭示每个GSCME的直接和间接影响。 ISM的结果被用作模糊矩阵的影响Croises乘积应用分类(MICMAC)分析的输入,以识别GSCME的驱动力和依赖性。调查结果-在35个GSCME中,有29个GSCME(均值≥3.00)已通过针对印度汽车组织的全国性问卷调查进行了分析。由于ISM模型仅提供了GSCME之间的二元关系,而模糊MICMAC分析提供了与GSCME的驱动和依赖能力有关的精确分析,因此开发了集成方法。研究局限/意义-ISM模型开发和模糊MICMAC的权重是通过少数行业专家的判断得出的。这是唯一的主观判断,正在判断的人的任何偏见都可能影响最终结果。实际意义-该研究为从业人员和院士提供了重要的指导。在GSCM实施期间,从业人员需要更加仔细地关注这些GSCME。 GSCM经理可能会战略性地计划其长期增长,以符合GSCM行动计划。尽管可以鼓励院士对不同的问题进行分类,这对于解决这些GSCME而言意义重大。原创性/价值-GSCME的层次结构安排,对驱动程序和从属类别的分类以及模糊MICMAC是GSCM实施领域的排他性工作。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号