调解
稳健性(进化)
控制(管理)
机制(生物学)
路径分析(统计学)
计算机科学
数字化转型
业务
转化(遗传学)
政治学
万维网
人工智能
化学
基因
认识论
机器学习
哲学
生物化学
法学
作者
Yang Zhou,Jingjun Xu,Zhiying Liu
摘要
Abstract It is critical to explore the mechanisms by which digital transformation (DT) influences firms' innovation performance (IP) in the pervasive digital epoch. This study constructs a serial mediation model to test the underlying mechanism of how DT affects IP. We find that DT can promote IP significantly, and such impact is heterogeneous. Mechanism tests reveal that analyst coverage and internal control quality have the serial mediation effects in the path of DT affecting IP. These findings still hold after several robustness checks. Our discoveries provide new theoretical and practical implications to the DT and innovation research domains.
科研通智能强力驱动
Strongly Powered by AbleSci AI