
Talent is important for development and innovation across fields. Further, in this era of digital economy, primarily driven by modern information networks, how to attract talent and effectively leverage talent’s agglomeration effect is a crucial research topic. Thus, this paper reviewed studies from the China Knowledge Network in the Chinese Social Sciences Citation Index and from the Web of Science Core Collection. By combining cluster analysis based on keyword co-occurrence with a review of highly relevant literature, this paper determines and compares mainstream directions in both domestic Chinese and international studies on talent agglomeration effects and digital economy talent research, thereby constructing a two-dimensional analytical framework. This paper recommends four research paths for the effects of talent agglomeration, namely, talent management, enterprise–industry development, industry–regional development, and industry–regional level of talent agglomeration. Meanwhile, considering the digital economy’s key role in future national economic strategies, its human resources studies should be included in these same paths for studying talent aggregation effects. Introducing public sector strategic manement theories into research on digital-economic talent aggregation could prove an extremely valuable subject matter in the future.
Mainstream research direction, Bibliometric analysis, Digital economy talent, Talent agglomeration effect
Mainstream research direction, Bibliometric analysis, Digital economy talent, Talent agglomeration effect
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
