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<p>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.</p>
</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.

Exploring Strategies for Promoting Overseas Alumni Giving Activities in Colleges and Universities Based on Coupled Models

Beijing University of Chemical Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper adjusts the coupling model to analyze the variables in order to measure the degree of coupling between overseas alumni donation behavior and...

Exploring Strategies for Promoting Overseas Alumni Giving Activities in Colleges and Universities Based on Coupled Models

Online veröffentlicht: 05. Dez. 2023

Seitenbereich: -

Eingereicht: 03. Jan. 2023

Akzeptiert: 15. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01355

Schlüsselwörter
Coupled modeling, Entropy weighting method, Indicator weights, Replicated dynamic equations, Donation probability

© 2023 Yongsheng Wang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Exploring Strategies for Promoting Overseas Alumni Giving Activities in Colleges and Universities Based on Coupled Models

Online veröffentlicht: 05. Dez. 2023

Seitenbereich: -

Eingereicht: 03. Jan. 2023

Akzeptiert: 15. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01355

SchlüsselwörterCoupled modeling, Entropy weighting method, Indicator weights, Replicated dynamic equations, Donation probability

© 2023 Yongsheng Wang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Coupled modeling, Entropy weighting method, Indicator weights, Replicated dynamic equations, Donation probability