Scope of big data analytics in green supply chain management: a review

被引:0
|
作者
Singh, Shubham [1 ]
Gandhi, Madhup Kantilal [1 ]
Kumar, Ankush [2 ]
机构
[1] Symbiosis Int Deemed Univ, Symbiosis Inst Management Studies, Pune, Maharashtra, India
[2] DIT Univ, Dehra Dun, Uttarakhand, India
来源
CARDIOMETRY | 2022年 / 22期
关键词
Big data analytics; Reverse logistics; Green procurement; Green supply chain management; Green product innovation; ADOPTION;
D O I
10.18137/cardiometry.2022.22.306312
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
In the modern era, the specialists working in the supply chain arenas are engulfed with enormous amounts of data, which has made them think out of the box and probe more into the sources of the data and techniques of analyzing and organizing the unstructured data. The new bud scholars and professionals have endorsed big Data Analytics (BDA) lately as a decisive green supply chain management facilitator. Research in this particular area is still to be explored to the fullest. The findings of the research are still in the introductory stages. Our study comprises an organized literature review of 42 significant papers published in the previous 18 years, which performs thorough reasoning and outlines three types of GSCM field: green product innovation, reverse logistics, and green procurement. The study presents the scope of BDA in these respective areas of GSCM. The study helps to portray the extent of usage of BDA tools in distinct GSCM fields. The literature review also sheds light on certain gaps in the research work. It caters to the directions for future work in the dedicated field.
引用
收藏
页码:306 / 312
页数:7
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