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Journal of library and information science in agriculture ›› 2025, Vol. 37 ›› Issue (2): 75-87.doi: 10.13998/j.cnki.issn1002-1248.25-0088

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Evolutionary Game Research on Stakeholder Decision-Making in Preprint Platform

LI Huimiao1, NIU Xiaohong2(), MA Zhuo1, GUO Mohan1   

  1. 1. Institute of Science and Technology Information of Jilin Province, Changchun 130033
    2. School of Information Management, Heilongjiang University, Harbin 150080
  • Received:2025-01-05 Online:2025-02-05 Published:2025-05-20
  • Contact: NIU Xiaohong

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Abstract:

[Purpose/Significance] With the globalization of knowledge sharing and the vigorous development of preprint at home and abroad, the role of preprint platform in academic exchange has been recognized and appreciated by academic community. This paper introduces the evolutionary simulation method for the first time from the previous research on government and enterprises to the research on preprint platform, and takes the three main stakeholders in the construction of preprint platform, that is government, researcher and the public as the main players of the game. Different from the existing research, this paper uses system dynamics theory and software to fill the gap in quantitative analysis of SD model, and combines qualitative and quantitative research to further enrich the research content of the preprint platform through game model construction and simulation analysis. This research aims to guide stakeholders to actively participate in the construction of preprint platform, improve the utilization rate of domestic preprint platform by users, and promote the construction of preprint platform in China. [Method/Process] This study established a tripartite evolutionary game model of "government, researcher, and the public" to analyze the strategic stability of the three stakeholders. Vensim PLE software was used to simulate and analyze the the SD model, focusing on the influence of mixed strategies and external sensitivity variables on stakeholders' decision behavior. [Results/Conclusions] In the construction of preprint platform, the willingness of government supervision is mainly influenced by the supervision cost and credibility Within a reasonable range, the higher the scientific research funding for researchers or the more severe the penalty for their passive participation, the greater the willingness of researchers to participate actively. The public's willingness to cooperate is influenced by the costs of participation and the social dividends. In the future, the construction of the preprint platform can be continuously promoted from three perspectives: formulating the framework of the underlying reward and penalty mechanism of the preprint platform, establishing the reputation evaluation mechanism of researchers, and accelerating the construction of the government's open scientific innovation service. However, due to the limitation of the author's professional ability, the cognition of the preprint platform and the consideration of the relevant policy establishment process are relatively limited. There are many stakeholders involved in the construction of preprint platform, and there are also many factors that can affect the decision-making behavior in the external environment and system. In this study, three stakeholders from three main aspects are selected to model and study the external influence. In the future, we can select stakeholders from different angles and increase the influencing factors to expand the research on preprint platform.

Key words: preprint platform, stakeholders, evolutionary game, system dynamics, open science

CLC Number: 

  • F224.32

Fig.1

Schematic illustrating the tripartite stakeholder income game tree"

Table 1

Asymptotic equilibrium points and their characteristic roots"

均衡解 特征值1 特征值2 特征值3 稳定性
E1(0,0,0) C2-C1+B(-) I4-C3-I7+C4 (-) I8-C5 (+) 不稳定点
E2(1,0,0) C1-C2-B(+) I4-C3-I7+C4+Q1+B(+) I8-C5+Q2 (+) 不稳定点
E3(0,1,0) C2-C1-Q1 (-) I7-C4-I4+C3 (+) I8-C5+L3 (+) 不稳定点
E4(0,0,1) C2-C1+I3-Q2+L1+B(+) I4-C3-I7+C4+I5+I6+L2 (+) C5-I8 (-) 不稳定点
E5(1,1,0) C1-C2+Q1 (+) I7-C4-I4+C3-Q1-B(-) I8-C5+Q2+L3 (+) 不稳定点
E6(1,0,1) C1-C2-I3+Q2-L1-B(-) I4-C3-I7+C4+Q1+B+I5+I6+L2 (+) C5-I8-Q2 (-) 不稳定点
E7(0,1,1) C2-C1+I3-Q2+L1-Q1 (+) I7-C4-I4+C3-I5-I6-L2 (-) C5-I8-L3 (-) 不稳定点
E8(1,1,1) C1-C2+Q1+Q2-I3-L1 (-) I7-C4-I4+C3-Q1-B-I5-I6-L2 (-) C5-I8-Q2-L3 (-) 稳定点

Fig.2

Inventory flowchart of multi-agent behavior evolution game in preprint platform construction"

Table 2

Parameter initial setting"

变量 变量含义 初始值
C1 政府积极监管成本 2.5
C2 政府消极监管成本 1.4
I1 科研人员和社会公众都积极配合政府，政府获得的收益 2.0
I2 科研人员和社会公众有一方消极配合时，政府获得的收益 1.0
B 政府对科研人员消极行为的惩罚 0.8
I3 政府公信力提升收益 2.5
L1 政府公信力损失 2.5
Q1 政府对科研人员的资助扶持 0.8
Q2 政府对社会公众的福利 0.5
C3 科研人员积极参与预印本平台建设所投入的成本 3.0
I4 科研人员积极参与预印本平台建设所获收益 3.2
I5 科研人员个人声誉的提升收益 1.5
I6 科研人员社会影响力的提升收益 0.1
C4 科研人员消极参与预印本平台建设所投入的成本 1.2
I7 科研人员消极参与预印本平台建设所获收益 3.5
L2 科研人员消极参与的声誉损失 0.1
C5 社会公众积极配合的成本 2.0
I8 社会公众积极配合获得的收益 2.5
L3 科研人员或政府一方消极时，社会公众会利益损失 2.0
I9 政府或科研人员采取积极行为时，社会公众有额外收益 1.0

Fig.3

Evolution trend of multi-topic behavior under stable strategy"

Fig. 4

Evolution Trend of the influence of government punishment on researcher behavior"

Fig. 5

Trend in the influence of government funding support on researchers' strategies"

Fig. 6

Trend in the influence of the cost C 5 of active public participation on public decisions"

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