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Assessing the efficiency of innovation resource distribution in Chinese high-tech industries based on the limited rational behavior of decision makers

Document Type

Research-Article

Author

Huihui Liu, Weilan Suo, Ming Li

Journal Name

Procedia Computer Science

Keywords

High-tech Industry, Innovation Resource Distribution, Limited Rational Behavior, Prospect Theory, Behavioral Research, Data Envelopment Analysis, Decision Theory, Efficiency, Engineering Research, Chinese High-tech Industry, Decision Makers, High Tech Industry, Industry Based, Innovation Resource Distribution, Limited Rational Behavior, Prospect Theory, Rational Behaviours, Resource Distribution, Scientific And Technological Innovations, Decision Making

Abstract

As an important element of the scientific and technological innovation system, the efficiency of innovation resource distribution in high-tech industries is directly related to the improvement of scientific and technological innovation capacity. The R&D process of high-tech industries usually consists of two stages: technological innovation and performance transformation, and the decision makers of high-tech industries usually have limited rational behavior. However, there is little research on the efficiency of two-stage innovation resource distribution in high-tech industries that takes into account the limited rational behavior of decision makers in existing research. Therefore, this study evaluates the efficiency of innovation resource distribution in 28 high-tech industries in China by considering the factor of limited rational behavior of decision makers based on prospect theory and two-stage data envelopment analysis. The results of the study show that the limited rational behavior of decision makers significantly affects the evaluation results of innovation resource distribution efficiency. Finally, combined with the results of the case study, we propose some countermeasures to improve the efficiency of innovation resource distribution in high-tech industries. © 2025 Elsevier B.V., All rights reserved.

https://doi.org/10.1016/j.procs.2025.08.022

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