Business Analytics Capability and Supply Chain Management Emergent Research Forum (ERF)

被引：0
|
作者：
Ramakrishnan, Thiagarajan [1 ]
Kathuria, Abhishek [2 ]
Khuntia, Jiban [3 ]
机构：
[1] Prairie View A&M Univ, Prairie View, TX 77446 USA
[2] Univ Hong Kong, Hong Kong, Peoples R China
[3] Univ Colorado, Denver, CO 80202 USA
来源：
AMCIS 2018 PROCEEDINGS | 2018年
关键词：
Business Analytics; Modular architecture; Decentralized governance; Supply chain information integration; INTELLIGENCE;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This study proposes that BI&A decentralized governance and BI&A modular architecture are important to leverage the basic BI&A capabilities for supply chain, in an interactive manner, to improve organization's integrated supply chain information and analytical outcomes. A survey instrument anchoring to existing first and second order constructs is developed. Structural modeling approach with primary data is the proposed methodology for testing the model and hypotheses. This study will contribute to cross-discipline of supply chain and business intelligence.
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页数：4
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