知识搜寻、知识吸收与服务创新：大数据能力的调节效应

Knowledge Search, Knowledge Absorption and Service Innovation: The Moderating Effect of Big Data Capability

摘要:

基于创新扩散理论，以知识吸收为中介变量，大数据能力为调节变量，对来自213家企业的问卷数据进行分析检验，并构建了知识搜寻对服务创新的作用模型。研究结果表明：知识搜寻对服务创新有显著正向影响；知识吸收在知识搜寻和服务创新之间起完全中介作用；大数据能力对知识搜寻和知识吸收之间的关系具有正向调节作用；大数据能力能调节知识吸收在知识搜寻和服务创新之间的中介作用，即大数据能力越高，知识搜寻通过知识吸收对服务创新的间接关系越强。

Abstract:

Based on the theory of innovation diffusion, with knowledge absorption as an intermediary variable and big data capability as a moderator variable, the questionnaire data from 213 enterprises were analyzed and tested, and a model of the effect of knowledge search on service innovation was constructed. The research results show that: knowledge search has a significant positive impact on service innovation; knowledge absorption plays a complete mediating role between knowledge search and service innovation; big data capabilities have a positive moderating effect on the relationship between knowledge search and knowledge absorption; Data capability can regulate the mediating role of knowledge absorption between knowledge search and service innovation, that is, the higher the big data capability, the stronger the indirect relationship between knowledge search and service innovation through knowledge absorption.