Big-data analytics capability, value creation process, and collaboration innovation quality in manufacturing enterprises: A knowledge-based view

被引:6
|
作者
Feng, Nan [1 ]
Tu, Shixin [2 ]
Guo, Feng [1 ]
机构
[1] Tianjin Univ, Coll Management & Econ, Lab Computat & Analyt Complex Management Syst CACM, 92 Weijin Rd, Tianjin 300072, Peoples R China
[2] Tianjin Univ, Coll Management & Econ, 92 Weijin Rd, Tianjin 300072, Peoples R China
基金
中国国家自然科学基金;
关键词
Big -data analytics capability; Value creation process; Collaboration innovation quality; Collaboration breadth; Collaboration depth; Technology risk; INFORMATION INTEGRATION; ABSORPTIVE-CAPACITY; PERFORMANCE; SEARCH; TRUST; FIRM; NETWORKS; LOCATION; BENEFITS; BEHAVIOR;
D O I
10.1016/j.cie.2023.109804
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Big-data analytics capability (BDAC) is crucial for the value creation process and collaboration innovation of manufacturing enterprises. Based on the knowledge-based view, this study aims to explore the relationship between BDAC, the value creation process (collaboration breadth and collaboration depth), and collaboration innovation quality while considering the contingency of technology risk. On the basis of 2,366 firm-year observations in 896 Chinese manufacturing enterprises between 2015 and 2022, the empirical results indicate that BDAC positively affects collaboration breadth and collaboration depth. Additionally, both collaboration breadth and collaboration depth mediate the relationship between BDAC and collaboration innovation quality, and technology risk weakens the positive effect of BDAC on collaboration depth. Our findings contribute to literatures on BDAC, technology risk and collaborative innovation by introducing knowledge-based view into collaborative innovation, and provide managerial implications for manufacturing enterprises and government policy-making.
引用
收藏
页数:10
相关论文
共 50 条