The Impact of Supply Chain Analytics on Operational Supply Chain Transparency: An Information Processing View

被引:0
|
作者
Zhu, Suning [1 ]
Song, Jiahe [1 ]
Cegielski, Casey [1 ]
Lee, Kang Bok [1 ]
机构
[1] Auburn Univ, Auburn, AL 36849 USA
来源
AMCIS 2017 PROCEEDINGS | 2017年
关键词
Supply chain analytics; operational supply chain transparency; organizational information processing theory; supply chain management; BIG DATA ANALYTICS; MANAGEMENT; LOGISTICS; TECHNOLOGIES; QUALITY;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
For many firms, implementing business analytics in supply chain management has become a key element of strategic success. Drawing on organizational information processing theory, this paper uses a sample of 114 survey respondents to investigate the role supply chain analytics play in operational supply chain transparency under turbulent supply environment. Three areas of analytics are involved: supply chain analytics in plan, source, and make. We find that supply chain analytics capability in all the three areas positively affects operational supply chain transparency. In addition, supply uncertainty positively moderates the relationship between supply chain analytics in make and transparency. This paper contributes to the supply chain transparency literature and provides managers with insights on the importance of supply chain analytics in building transparent supply chains, especially the role of supply chain analytics in make in turbulent supply environment.
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页数:10
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