业务
大数据
知识管理
竞争优势
人力资源
动态能力
价值(数学)
计算机科学
营销
管理
操作系统
机器学习
经济
作者
Tangyou Sun,Cheng Xinhang
标识
DOI:10.1080/09537325.2022.2132140
摘要
Big data analytics capabilities are playing an increasingly important role in enhancing innovation capabilities and establishing competitive advantages for enterprises. Based on RBT and dynamic capability theory, this study established the interaction model between big data analysis capability(BDAC), agility and ambidextrous innovation. Through the research data of 191 technology-based enterprises in China, this paper explore the relationship between BDAC and ambidextrous innovation, and analyse the mediating role of agility. The study found that among the three dimensions of BDAC (tangible resources, intangible resources, human resources), big data human resources and intangible resources have significant roles in promoting ambidextrous innovation capabilities, while big data tangible resources have no significant impact on ambidextrous innovation capability. Among them, intangible resources play a more significant role in promoting exploratory innovation, human resources play a more significant role in promoting exploitative innovation, and agility plays a partial mediating role in this. The research results have certain implications for enterprises to obtain value from big data systems.
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