The development of AI technologies requires
Research gap analysis derived from 3 economics papers in our local library.
The gap
The development of AI technologies requires complementarity between capital and highly skilled employees, and the optimization of enterprise human capital structures warrants investigation; therefore, AI has significant potential to improve
Evidence profile
Stated in the abstract and cells research gap sections of the source papers, classified as general, drawn from work published between 2025 and 2026, spanning 3 journals. Those papers have been cited 3 times in total.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Does AI application make enterprises productivity higher? From the perspective of employee human capital upgrading (2025) · Oeconomia Copernicana · cited 1× · doi
The development of AI technologies requires complementarity between capital and highly skilled employees, and the optimization of enterprise human capital structures warrants investigation; therefore, AI has significant potential to improve employees’ human capital and enhance enterprise productivity.
generalstated in abstractevidence 5/5Keywords: capital employees enterprise human development technologies requires complementarity highly skilled optimization structures warrants investigation significant - AI-driven digital transformation and ICT integration: Implications for uneven economic development pathways in Europe (2026) · Equilibrium Quarterly Journal of Economics and Economic Policy · cited 2× · doi
Prior research has examined innovation, ICT integration, and cluster dynamics separately, but there is a need for an integrated empirical framework. - The study addresses this gap by analyzing the joint impact of AI-related human capital, digital trade intensity, and innovation capacity on economic development disparities.
generalstated in cells research gapevidence 5/5Keywords: prior research has examined innovation ict integration cluster - Research on the Influence Mechanism of Artificial Intelligence Application on Enterprise Innovation Efficiency (2026) · Advances in Economics Management and Political Sciences · doi
The lack of understanding of the impact of AI application on enterprise innovation efficiency. - The need to identify the mediating channels through which AI application affects innovation efficiency. - The necessity to examine the moderating effects of market segmentation, fiscal support intensity, and human capital structure on the relationship between AI application and innovation efficiency.
generalstated in cells research gapevidence 5/5Keywords: lack understanding impact application enterprise innovation efficiency need
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