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首页> 外文期刊>Mathematical Problems in Engineering >Analysis of Success Factors to Implement Sustainable Supply Chain Management Using Interpretive Structural Modeling Technique: A Real Case Perspective
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Analysis of Success Factors to Implement Sustainable Supply Chain Management Using Interpretive Structural Modeling Technique: A Real Case Perspective

机译:解释性结构建模技术实施可持续供应链管理的成功因素分析:一个真实案例

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摘要

Sustainability draws increased supply chain management (SCM) attention. This article analyzes critical success to the assessment, evaluation, and attainment of sustainable supply chain management (SSCM), assessed through critical-success identification and qualitative data analysis. Namely, a literature review selected of 188 articles, published between January 1994 and November 2016, helps identify the most influential success factors. The qualitative data analysis pertains to fifteen such successes, identified in the literature review and through our collaboration with other academic researchers and industrial specialists. Notably, the study's qualitative data analysis, interpretive structural modeling (ISM), unconceals the mutual impact among the most prominent SSCM success factors. The economic benefits and environmental awareness of suppliers are recognized as the most significant success factors, which could allow business enterprises and other organizations to implement a SSCM framework, with intentionality and the sustainability in their business. The article concludes with suggestions for future research directions.
机译:可持续性引起了供应链管理(SCM)的更多关注。本文分析了通过关键成功识别和定性数据分析来评估,评估,评估和实现可持续供应链管理(SSCM)的关键成功。即,从1994年1月至2016年11月之间发表的188篇文章中的文献综述有助于确定最有影响力的成功因素。定性数据分析与15项此类成功有关,在文献综述中以及通过我们与其他学术研究人员和行业专家的合作而确定。值得注意的是,研究的定性数据分析,解释性结构建模(ISM)掩盖了最突出的SSCM成功因素之间的相互影响。供应商的经济利益和环保意识被认为是最重要的成功因素,可以使商业企业和其他组织实施SSCM框架,并有意识地保持业务的可持续性。本文最后提出了未来研究方向的建议。

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  • 来源
    《Mathematical Problems in Engineering》 |2017年第11期|7274565.1-7274565.14|共14页
  • 作者单位

    Beijing Univ Posts & Telecommun, Sch Automat, Beijing 100876, Peoples R China;

    Beijing Univ Posts & Telecommun, Sch Econ & Management, Beijing 100876, Peoples R China;

    Beijing Univ Posts & Telecommun, Sch Econ & Management, Beijing 100876, Peoples R China;

    Beijing Univ Posts & Telecommun, Sch Automat, Beijing 100876, Peoples R China;

    Beijing Univ Posts & Telecommun, Sch Automat, Beijing 100876, Peoples R China;

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