Research on the linkage effect of technological innovations&nbsp;driven by talent policies in enterprises

LIU Yi-Qing; CHEN Cheng; CHEN Si

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Science Research Management ›› 2023, Vol. 44 ›› Issue (4) : 56-66.

Research on the linkage effect of technological innovations driven by talent policies in enterprises

Liu Yiqing^1,2, Chen Cheng¹, Chen Si¹

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Abstract

Since 2017, there have been frequent promulgations of central and local talent policies. The government expects to stimulate technological innovation of enterprises through talent policies. But how exactly do talent policies diffuse and transmit to promote the technological innovations of enterprises? There is little discussion on the relationship between talent policies and enterprise technological innovation, and there is also a lack of exploration on the path of enterprise technological innovation driven by talent policies. Based on the policy diffusion theory, the paper takes the 2017 talent scramble as an observation point to integrate the motives and dynamics of enterprise technological innovation from three levels of talent policy grafting government resources, driving enterprise resources, and attracting social resources into a unified framework, and uses the fsQCA method to explore the linkage effects and dynamic path changes of corporate innovation performance of 26 listed companies in Jiangxi Province before the release of talent policy (2016) and after the implementation of talent policy (2018 and 2019). It is found that: (1) single factors such as government subsidies, enterprise resources, and commercial credit do not constitute the necessary conditions for the performance of enterprises′ technological innovation. The explanatory power of single antecedent conditions is weak, and the combination of multiple antecedent conditions is necessary to explain; (2) The driving factors such as government subsidies, enterprise resources and business credit form heterogeneous paths with different paths. In addition, there are obvious differences in the driving paths of enterprises′ technological innovation performance before and after the implementation of the talent policy, showing a gradual concentration and a shift of the dominant factor to the internal input of enterprises, and forming three configuration patterns explained independently by government subsidies elements, jointly explained by government subsidies and enterprise resources, and jointly explained by enterprise resources and external credit factors; (3) The percentage of invention patents increases and the percentage of non-invention patents decreases with the support of talent policy, which indicates that talent policy has an inhibitory effect on the strategic innovation behavior of the enterprise, validating the view that "talent policy has a signaling function of resource grafting". Finally, the study offers thoughts from both the government and enterprises. The government should continue to focus on the driving and penetrating effects of talent policy implementation, actively release the signal of talent policy support, and drive and collaborate with social resources to promote enterprise technological innovation; enterprises should make full use of the resource advantages of talent policy support, break through their own resource constraints, strengthen the linkage between government, enterprises and social factors to match the role of targeted strategies to improve enterprise technological innovation performance.The paper reveals the core conditions and driving paths of enterprise technological innovation driven by talent policy from a configuration perspective, and compares the configuration differences before and after talent policy, providing a holistic perspective on the complex interactions and causal asymmetric relationship between the conditions of enterprise technological innovation, offering new path explanations for talent policy-driven enterprise technological innovation, and enriching the research on the effects of talent policy.

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talent policy / technological innovation / dynamic path / fsQCA

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Liu Yiqing, Chen Cheng, Chen Si. Research on the linkage effect of technological innovations driven by talent policies in enterprises[J]. Science Research Management. 2023, 44(4): 56-66

References

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