Assessing the effect of business intelligence quality on enterprise innovation performance: a knowledge dynamic capability perspective

被引:2
|
作者
Yan, Kuan [1 ]
Xia, Enjun [1 ]
Li, Jun [1 ]
Huang, Jieping [1 ]
机构
[1] Beijing Inst Technol, Sch Management & Econ, Zhongguancun South St 5, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
business intelligence quality; system quality; information quality; innovation performance; dynamic capabilities; knowledge sharing; absorptive capability; INFORMATION-SYSTEMS SUCCESS; ABSORPTIVE-CAPACITY; BIG DATA; MANAGEMENT; ANALYTICS; IMPACT; MODEL; TECHNOLOGY; STRATEGY; CREATION;
D O I
10.1504/IJTM.2023.128798
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Enterprises leverage business intelligence (BI) to promote competitive advantages. However, there is still a lack of understanding of BI quality and innovation performance. This research constructed a model of the impact of BI's system quality and information quality on innovation performance through the IS success and dynamic capabilities framework. This research also investigated the mediation effect of knowledge sharing and absorptive capability and examined heterogeneity with potential IT differences between industries. The results with Chinese enterprise data show that both system quality and information quality are positively related to knowledge sharing, and system quality is positively related to absorptive capability, while information quality is not. Through the mediation effect of knowledge sharing and absorptive capability, system quality partially facilitates innovation performance, while information quality completely facilitates innovation performance, although indirectly. There is no significant relationship between system quality and knowledge sharing among traditional industries. These findings contribute new insights into BI-enabled innovation.
引用
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页码:112 / 138
页数:28
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