摘要
针对大数据应用技术资源与分析能力的协同是否影响供应链合作创新绩效以及传导机理问题,构建理论模型。以309家企业为样本,实证分析发现:大数据应用技术资源与分析能力的协同对供应链合作创新绩效产生正向显著影响;市场响应能力在大数据应用技术资源和分析能力的协同影响供应链合作创新绩效中具有中介效用;供应链企业间认知距离对市场响应能力的中介效用具有正向调节效应。研究分析大数据应用影响供应链合作创新绩效的机制,丰富了供应链协作技术创新理论研究,并对企业协作创新实践提供新的管理思路。
Aiming at the question whether the collaboration between big data application technology resources and analytical ability affects the cooperative innovation performance and the transmission mechanism of supply chain,a theoretical model is constructed.Based on the empirical analysis of 309 enterprises,it is found that the synergy of big data application technology resources and analytical ability has a positive and significant impact on supply chain cooperative innovation performance.Market responsiveness plays a mediating role in the synergistic influence of big data application technology resources and analysis ability on supply chain cooperative innovation performance.The cognitive distance between supply chain firms has a positive moderating effect on the mediating effect of market responsiveness.The study and analysis of the mechanism of big data application affecting the performance of supply chain collaborative innovation enrich the theoretical research of supply chain collaborative technology innovation,and provide new management ideas for enterprise collaborative innovation practice.
作者
刘进
LIU Jin(College of Business Administration,Huaqiao University,Quanzhou 362021,China)
出处
《物流科技》
2023年第19期113-117,共5页
Logistics Sci-Tech
基金
福建省科技厅创新战略研究项目“大数据环境下的福建区域技术创新系统与政策研究”(2021R0061)。
关键词
大数据应用
市场响应
认知距离
供应链合作创新
协同
big data application
market response
cognitive distance
supply chain cooperation technology innovation
synergy