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Social sustainability in the supply chain: analysis of enablers

机译:供应链中的社会可持续性:推动力分析

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摘要

Purpose - This study aims to identify various enablers and the inter-relationships among them in adopting social sustainability measures in the supply chain. Social sustainability in the supply chain has received growing attention in the recent years, due to growing awareness on equity, health and safety, education, child and bonded labor and ethical practices in corporates. Design/methodology/approach - Various enablers and their contextual relationships were identified. The enablers were classified based on dependence and driving power (DP) with the help of MCMAC analysis. In addition to this, a structural model of the enablers to the social sustainability problem has been put forward using the interpretive structural modeling technique. Findings - In this study, 14 relevant enablers were identified from literature review and subsequent discussions with experts from academia and the industry. Competitive pressure leads at the bottom of the digraph with high DP, followed by customers' requirements, financial liquidity and social concern. Social sustainability awareness was found to be at the last level with less DP. Research limitations/implications - Enablers were developed based on literature survey and expert opinions. Hence, the model is not statistically validated. This model also does not quantify the adverse effect of each of the variables on social sustainability practices in the supply chain. Practical implications - The development of a hierarchy not only helps the supply chain managers to understand the enablers better, based on their importance, but also helps in decision making in the supply chain, which in turn enables the corporations to be competitive. Social implications - Findings of this article will help the corporations to be more socially sustainable by understanding the various enablers and their contextual relationships in the supply chain. Originality/value - The structured social sustainability model helps supply chain managers and experts to understand interdependence of the enablers. This also helps in identifying different enablers with different degree of importance, which will be very much useful in adopting social sustainability measures in the supply chain.
机译:目的-本研究旨在确定在供应链中采用社会可持续性措施时的各种促成因素及其之间的相互关系。近年来,由于对公平,健康与安全,教育,童工和担保劳动以及企业道德规范的意识日益增强,供应链中的社会可持续性受到越来越多的关注。设计/方法/方法-确定了各种促成因素及其上下文关系。借助MCMAC分析,根据依赖关系和驱动力(DP)对促成因素进行了分类。除此之外,使用解释性结构建模技术提出了社会可持续性问题推动者的结构模型。调查结果-在这项研究中,从文献回顾和与学术界和行业专家的讨论中确定了14个相关促成因素。竞争压力导致图表的底部具有高DP,接着是客户的需求,财务流动性和社会关注度。发现社会可持续性意识处于最后水平,DP降低。研究局限性/意义-推动因素是根据文献调查和专家意见而开发的。因此,该模型没有经过统计验证。该模型还没有量化每个变量对供应链中社会可持续性实践的不利影响。实际意义-层次结构的发展不仅可以帮助供应链管理人员根据其重要性更好地理解促成因素,而且还有助于在供应链中进行决策,从而使公司具有竞争力。社会影响-本文的发现将通过了解供应链中的各种促成因素及其上下文关系,帮助公司在社会上更具可持续性。原创性/价值-结构化的社会可持续性模型可帮助供应链经理和专家了解促成因素的相互依赖性。这也有助于确定具有不同程度重要性的不同促成因素,这对于在供应链中采用社会可持续性措施将非常有用。

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