大数据能力对员工创新绩效的影响——知识转移与工作自主性的作用

Impact of Big Data Capability on Innovation Performance of Personnel: Roles of Knowledge Transfer and Job Autonomy

摘要:

随着国际竞争的日趋激烈,提升员工的创新绩效已成为企业保持领先地位的途径之一。本文基于动态能力理论,探索了大数据能力对员工创新绩效的影响,并基于知识基础观分析了知识转移在其中的中介作用,还探究了工作自主性在其中的调节作用。使用来自24家企业的403份问卷,实证研究结果表明大数据能力显著提升员工创新绩效；知识转移显著提升员工创新绩效,且部分中介大数据能力对员工创新绩效的影响。工作自主性在资源获取能力以及应用能力对创新绩效的影响中起正向调节作用,但是该调节作用在分析整合能力对创新绩效的作用机制中并不显著。

Abstract:

With the growingly intense international competition, improving the innovation performance of personnel has become one of the ways for companies to stay ahead. Based on the dynamic capability theory, this paper explores the impact of big data capability on innovation performance of personnel, and further analyzes the mediating role of knowledge transfer based on the knowledge-based view, also explores the moderating role of job autonomy in it. Using 403 questionnaires from 24 companies to do empirical research, the results show that big data capability has a significant positive impact on innovation performance of personnel; knowledge transfer has a significant positive impact on innovation performance of personnel, and partially mediates the impact of big data capability on innovation performance; job autonomy plays a significant positive regulatory role in the impact of resource acquisition capability on innovation performance, also plays a significant positive regulatory role in the impact of application capability on innovation performance, but the regulatory role in the impact of analysis and integration capability on innovation performance is not significant.