Big data optimisation and management in supply chain management: a systematic literature review

被引:7
作者
Alsolbi, Idrees [1 ,2 ]
Shavaki, Fahimeh Hosseinnia [2 ]
Agarwal, Renu [3 ]
Bharathy, Gnana K. [4 ]
Prakash, Shiv [5 ]
Prasad, Mukesh [2 ]
机构
[1] Umm Al Qura Univ, Coll Comp Sci & Informat Syst, Dept Informat Syst, Mecca, Saudi Arabia
[2] Univ Technol Sydney, Sch Comp Sci, Ultimo, Australia
[3] Univ Technol Sydney, Business Sch, Ultimo, Australia
[4] Univ Technol Sydney, Fac Engn & Informat Technol, Ultimo, Australia
[5] Univ Allahabad, Dept Elect & Commun, Prayagraj, Uttar Pradesh, India
关键词
Big data; Big data optimization; Big data management; Supply chain management; Performance measurement; Systematic review; DATA ANALYTICS; PREDICTIVE ANALYTICS; DECISION-MAKING; LOGISTICS; PERFORMANCE; DEMAND; FOOD; MODEL;
D O I
10.1007/s10462-023-10505-4
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The increasing interest from technology enthusiasts and organisational practitioners in big data applications in the supply chain has encouraged us to review recent research development. This paper proposes a systematic literature review to explore the available peer-reviewed literature on how big data is widely optimised and managed within the supply chain management context. Although big data applications in supply chain management appear to be often studied and reported in the literature, different angles of big data optimisation and management technologies in the supply chain are not clearly identified. This paper adopts the explanatory literature review involving bibliometric analysis as the primary research method to answer two research questions, namely: (1) How to optimise big data in supply chain management? and (2) What tools are most used to manage big data in supply chain management? A total of thirty-seven related papers are reviewed to answer the two research questions using the content analysis method. The paper also reveals some research gaps that lead to prospective future research directions.
引用
收藏
页码:253 / 284
页数:32
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