Impact of big data on supply chain management

被引:79
|
作者
Raman, Seetha [1 ]
Patwa, Nitin [2 ]
Niranjan, Indu [1 ]
Ranjan, Ujjwal [1 ]
Moorthy, Krishna [3 ]
Mehta, Ami [1 ]
机构
[1] SP Jain Sch Global Management, Singapore, Singapore
[2] SP Jain Sch Global Management, Dubai, U Arab Emirates
[3] Univ Tunku Abdul Rahman, Kampar, Malaysia
关键词
Big data; supply chain management; demand management; vendor rating; analytics; data science; Internet of things; ANALYTIC HIERARCHY PROCESS; PREDICTIVE ANALYTICS; LOGISTICS; SELECTION; COLLABORATION; INTERNET; MODELS;
D O I
10.1080/13675567.2018.1459523
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
This study focuses on big data, which offer new opportunities, added value and operational excellence for existing supply chain practices. A survey was conducted among employees of multinational companies across the United States, the Middle East, Europe, Asia and Australia. Structural equation modelling was employed for the statistical analysis of the survey data. The results show that demand management, vendor rating, the Internet of things (IoT), analytics and data science affect the supply chain industry regarding operational excellence, cost savings, customer satisfaction, visibility and reducing the communication gap between demand management and supply chain management (SCM). The adoption of big data technology can create considerable value-added and monetary gain for firms and will soon become a standard throughout the industry. This research provides a new description of the Supply Chain Operations Reference (SCOR) model by incorporating big data and SCM.
引用
收藏
页码:579 / 596
页数:18
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