供应链
透视图(图形)
大数据
供应链管理
业务
计算机科学
产业组织
过程管理
知识管理
营销
数据挖掘
人工智能
作者
Guangqian Peng,Zhang Yan,Ping Gao,Yiming Yuan,Jun‐Feng Yin
出处
期刊:International Journal of Networking and Virtual Organisations
[Inderscience Enterprises Ltd.]
日期:2022-01-01
卷期号:26 (4): 319-319
标识
DOI:10.1504/ijnvo.2022.124781
摘要
The study on big data capability was initiated just recently. The impact of big data capability on companies, such as on companies' other capabilities, is still unclear. Grounded on dynamic capabilities theory, this study proposed a model and tested the impact of big data capability on supply chain dynamic capability and dynamic innovation capability. The research objects are high-tech listed companies in China. By PLS path modelling, the major findings are: 1) big data capability showed positive impact on supply chain dynamic capability; 2) however, unexpectedly, big data capability was found showing negative impact on dynamic innovation capability. In our opinion, the potential reason is that big data application is just initiated, so may lead to certain disorder in the companies. Based on this finding, we call for attention to big data paradox; 3) further, supply chain dynamic capability showed positive impact on dynamic innovation capability; 4) possibly owing to the mediating and moderating effects of supply chain dynamic capability, the total effect of big data capability on dynamic innovation capability is positive and significant. Managerial applications and limitations are generalised at the end.
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