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ISSN (Print): 1872-2121
ISSN (Online): 2212-4047

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Research Article

Research on Incentive Mechanism and Credit Behavior of University Scientific Research Based on Evolutionary Game

Author(s): Liu Xuwang, Zhang Yujie* and Zhang Zhengxuan

Volume 17, Issue 5, 2023

Published on: 27 August, 2022

Article ID: e130522204742 Pages: 13

DOI: 10.2174/1872212116666220513115050

Price: $65

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Abstract

Background: Colleges and universities play an important role in national scientific and technological innovation, and research outputs are the comprehensive embodiment of their strength. There is a study value in determining how to energize the researchers and create a healthy atmosphere for them.

Objective: On the premise of the bounded rationality of researchers, this paper first briefly describes some practical issues in the field of evaluation of scientific achievements, establishing two major research objects: researchers and scientific research management departments.

Methods: By using the evolutionary game theory, this study establishes a two-side evolutionary game model in combination with the factors that affect the decision of researchers, and it shows the preconditions for an evolutionarily stable strategy based on replication dynamic thought and the criterion of evolutionary stability strategy. Based on MATLAB GUI platform, this paper also develops the numerical simulation system of research investment and reward strategy and realizes the quantitative processing of the theoretical model.

Results: First, there is a relation between the evolution speed of the researcher choosing high research investment and the scientific management department selecting a high research reward strategy; Second, there is hysteresis in both parties’ mastery of each other’s strategy information; and third, while optimizing the conditions for scientific research and punishing academic misconduct, the administrative departments should regularly adjust their assessment indicators to create a good atmosphere for scientific research.

Conclusion: This paper will further solve engineering problems in the field of scientific research management.

Keywords: Scientific research investment, Scientific research reward, Evolutionary game, Behavior analysis.

Graphical Abstract

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