Research on the Innovation Performance of Enterprises in the Context of Talent Policy Driving: Based on the fsQCA Method

作者：Zhang Xia

院校：Hunan Police College, China

摘要：This study examines the relationship between key factors and innovation performance in talent-driven companies
through data analysis and the fsQCA method. The findings indicate that high levels of human capital, supportive and risktaking organizational culture, effective leadership, and diverse and collaborative team dynamics are important drivers of
innovation performance in companies. These factors interact and collectively contribute to a conducive innovation ecosystem.
The research results provide empirical evidence for existing theories and offer guidance for management practices and policymaking in talent-driven companies.

关键词

Talent-driven companies; human capital; organizational culture; leadership; team dynamics; innovation performance; fsQCA method; data analysis

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References

[1] Ragin, C. C. (2008). Redesigning social inquiry: Fuzzy sets and beyond. University of Chicago Press.

[2] Schneider, C. Q., & Wagemann, C. (2012). Set-Theoretic Methods for the Social Sciences: A Guide to Qualitative Comparative Analysis.

Cambridge University Press.

[3] Rihoux, B., & Ragin, C. C. (2009). Configurational Comparative Methods: Qualitative Comparative Analysis (QCA) and Related

Techniques. SAGE Publications.

[4] Hsieh, H. F., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative Health Research, 15(9), 1277-1288.

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Research on the Innovation Performance of Enterprises in the Context of Talent Policy Driving: Based on the fsQCA Method

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