Sun Bo, Ruan Ao, Peng Biyu, Lu Wenzhu
School of Economics and Management, South China Normal University, Guangzhou, China.
International Business School, South China Normal University, Guangzhou, China.
Front Psychol. 2022 May 20;13:788515. doi: 10.3389/fpsyg.2022.788515. eCollection 2022.
This paper explores how talent flow network and the firm life cycle affect the innovative performances of firms. We first established an interorganizational talent flow network with the occupational mobility data available from the public resumes on LinkedIn China. Thereafter, this information was combined with the financial data of China's listed companies to develop a unique dataset for the time period between 2000 and 2015. The empirical results indicate the following: (1) The breadth and depth of firms' embedding in the talent flow network positively impact their innovative performances; (2) Younger firms' innovations are mostly promoted by the breadth of network embedding, but this positive effect weakens as firms increase in age; (3) Mature firms' innovations are primarily driven by the depth of network embedding, and this positive effect strengthens as firms increase in age. This paper enriches and deepens the studies of talent flow networks, and it provides practical implications for innovation management based on talent flow for various types of firms at different development stages.
本文探讨了人才流动网络和企业生命周期如何影响企业的创新绩效。我们首先利用领英中国公开简历中的职业流动数据建立了一个组织间人才流动网络。此后，将这些信息与中国上市公司的财务数据相结合，构建了一个2000年至2015年期间独特的数据集。实证结果表明：（1）企业在人才流动网络中的嵌入广度和深度对其创新绩效有积极影响；（2）年轻企业的创新主要由网络嵌入广度推动，但随着企业年龄增长，这种积极影响会减弱；（3）成熟企业的创新主要由网络嵌入深度驱动，且随着企业年龄增长，这种积极影响会增强。本文丰富和深化了人才流动网络的研究，并为不同发展阶段的各类企业基于人才流动的创新管理提供了实践启示。
