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识别中国留学生的关键风险因素:一种具有政策启示的层次分析法-决策试验与评价实验室法-交叉强化矩阵混合方法

Identifying key risk factors for Chinese international students: a hybrid AHP-DEMATEL-cross-reinforcement matrix approach with policy implications.

作者信息

Li Hongwei, Wang Lei, Gao Junhong

机构信息

College of Economics and Management, Shandong University of Science and Technology, Qingdao, China.

出版信息

Front Sociol. 2025 Jul 10;10:1610036. doi: 10.3389/fsoc.2025.1610036. eCollection 2025.

Abstract

Chinese students usually face risks from various aspects in the process of studying abroad. The use of the analytic hierarchy process alone ignores the interplay between the influencing factors and lacks systematic thinking about the identification of key influencing factors due to the intricacies of the factors affecting and constraining these risks. Therefore, we utilize the DEMATEL method and cross-reinforcement matrix to improve the weights obtained from AHP and to enhance the accuracy and scientific rigor of the weight vectors. Finally, five factors with the largest weights of risk factors affecting international students are identified through the analysis. They are self-management ability, language ability, policy of the host country, economic conditions of the host country, and values. Appropriate risk response countermeasures are proposed to reduce the risk potential of international students based on the results. Exploring the risk factors affecting students studying abroad can provide a reference for Chinese students to predict and control the risks of studying abroad. It can also provide support for international institutions to recruit, manage, and assist Chinese students.

摘要

中国学生在出国留学过程中通常面临来自各个方面的风险。仅使用层次分析法忽略了影响因素之间的相互作用,并且由于影响和制约这些风险的因素错综复杂,在关键影响因素的识别上缺乏系统的思考。因此,我们利用决策试验与评价实验室方法和交叉增强矩阵来改进从层次分析法获得的权重,并提高权重向量的准确性和科学严谨性。最后,通过分析确定了影响留学生风险因素中权重最大的五个因素。它们是自我管理能力、语言能力、东道国政策、东道国经济状况和价值观。根据结果提出了适当的风险应对措施,以降低留学生的风险潜力。探索影响留学生的风险因素可为中国学生预测和控制留学风险提供参考。它还可为国际机构招收、管理和帮助中国学生提供支持。

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