Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China

Research Article

Research on Stability of Foreign Talents Based on FAHP

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  • @INPROCEEDINGS{10.4108/eai.19-5-2023.2334362,
        author={Yimin  Zhang and Qisong  Zhang and Xiaoli  Zhang},
        title={Research on Stability of Foreign Talents Based on FAHP},
        proceedings={Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19--21, 2023, Hangzhou, China},
        publisher={EAI},
        proceedings_a={ICBBEM},
        year={2023},
        month={7},
        keywords={stability of foreign talent fahp foreign talent stability research},
        doi={10.4108/eai.19-5-2023.2334362}
    }
    
  • Yimin Zhang
    Qisong Zhang
    Xiaoli Zhang
    Year: 2023
    Research on Stability of Foreign Talents Based on FAHP
    ICBBEM
    EAI
    DOI: 10.4108/eai.19-5-2023.2334362
Yimin Zhang1,*, Qisong Zhang1, Xiaoli Zhang1
  • 1: Dalian Neusoft University of Information
*Contact email: zhangyimin@neusoft.edu.cn

Abstract

With the rapid and international development of China's economy, the demand for international talents is increasing day by day, especially the demand for foreign talents has attracted the attention of regional development. At the same time, the instability of foreign talents is also highlighted. This paper adopts the fuzzy analytic hierarchy process (FAHP) to excavate and analyze the relevant factors affecting the stability of foreign talents, and proposes a stability evaluation model. Firstly, the indicator system of influencing factors is extracted, including 4 first-level indicators and 17 second-level indicators; Secondly, Delphi method and Likert five-level scale are used to determine the first-level and second-level indicators, and the comprehensive weight is calculated to build the evaluation weight system; Finally, taking the survey data of foreign talent stability in Dalian as an example, the model is verified, and the results show that the model provides an effective method for foreign talent stability evaluation.