A Systems Approach to Modeling Loyalty Contagion and Adaptive Regulation in Emergency Document Systems: The Role of User Stickiness

Aiming at the problems of low information coordination efficiency and insufficient sustained user participation in emergency document systems during incident response, this paper proposes a user stickiness-based loyalty contagion and adaptive regulation model for emergency document systems. The model consists of an environment module, an agent module, a metrics module, and a regulation module, which are used to simulate the formation and contagion mechanism of user stickiness on system loyalty in emergency scenarios, and to explore effective pathways for maintaining system health through adaptive regulation. The feasibility of the model is verified through simulation experiments. The results show that there exists an optimal platform regulation intensity that can significantly improve the standardization of emergency collaboration and the overall system effectiveness.

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Publication Details

Journal
Systems
Published
2026-03-02
DOI
https://doi.org/10.3390/systems14030268
Primary Topic
Information and Cyber Security
Type
article
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article

A Systems Approach to Modeling Loyalty Contagion and Adaptive Regulation in Emergency Document Systems: The Role of User Stickiness

Yike Feng, Yan Song
Systems
Information and Cyber Security
article

A Systems Approach to Modeling Loyalty Contagion and Adaptive Regulation in Emergency Document Systems: The Role of User Stickiness

Yike Feng, Yan Song
article en

Abstract

Aiming at the problems of low information coordination efficiency and insufficient sustained user participation in emergency document systems during incident response, this paper proposes a user stickiness-based loyalty contagion and adaptive regulation model for emergency document systems. The model consists of an environment module, an agent module, a metrics module, and a regulation module, which are used to simulate the formation and contagion mechanism of user stickiness on system loyalty in emergency scenarios, and to explore effective pathways for maintaining system health through adaptive regulation. The feasibility of the model is verified through simulation experiments. The results show that there exists an optimal platform regulation intensity that can significantly improve the standardization of emergency collaboration and the overall system effectiveness.

SystemsVol. 14(3)
Shanghai International Studies University (CN), Harbin Engineering University (CN)
Openalex Percentile: Top 56%
Information and Cyber Security
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A Systems Approach to Modeling Loyalty Contagion and Adaptive Regulation in Emergency Document Systems: The Role of User Stickiness — Yike Feng, Yan Song · Systems (2026) | TGRS Research Map | TGRS