基于耦合模式的高校海外校友捐赠活动推广策略探索

Yongsheng Wang
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引用次数: 0

摘要

摘要本文通过调整耦合模型对变量进行分析,以衡量海外校友捐赠行为与高校战略之间的耦合程度。采用熵权法确定指标权重和系统综合评价函数。分别探索校友企业家和高校的复制动态方程,验证校友捐赠概率、高校愿意接受捐赠概率和企业家愿意捐赠概率之间的关系。模拟税收激励、声誉收益和人脉资源三种高校激励策略对海外校友捐赠决策的影响,探讨三种激励策略在单一激励策略实施环境下的排名。为了探索多通道耦合的协同进化过程,对群体结构、规模、交互程度和认知进行了适当的参数化建模,并对独立场景和耦合场景的进化结果进行了比较。仿真数据表明,在单一高校激励策略实施环境下,激励效果排序为税收优惠>网络资源>声誉收益。
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Exploring Strategies for Promoting Overseas Alumni Giving Activities in Colleges and Universities Based on Coupled Models
Abstract This paper adjusts the coupling model to analyze the variables in order to measure the degree of coupling between overseas alumni donation behavior and university strategies. The entropy weighting method is used for the determination of indicator weights and systematic, comprehensive evaluation function. The replicated dynamic equations of alumni entrepreneurs and colleges and universities are explored separately to verify the relationship between the probability of alumni donations, the probability of colleges and universities willing to accept donations and the probability of entrepreneurs’ willingness to donate. To simulate the impact of three types of university incentive strategies, namely, tax incentives, reputational gains, and networking resources, on the donation decisions of overseas alumni and to explore the ranking of the three types of incentive strategies in a single incentive strategy implementation environment. In order to explore the cooperative evolution process of multi-channel coupling, the group structure, size, degree of interaction and cognition are modeled with appropriate parameterization, and the evolution results of the independent and coupled scenarios are compared. The simulation data show that in the environment of single university incentive strategy implementation, the ranking of incentive effects is, in order, tax benefits > networking resources > reputational gains.
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来源期刊
Applied Mathematics and Nonlinear Sciences
Applied Mathematics and Nonlinear Sciences Engineering-Engineering (miscellaneous)
CiteScore
2.90
自引率
25.80%
发文量
203
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