Study on Talent Capability Based on Big Data for International Organizations
This study organizes recruitment information released by the United Nations and its affiliated agencies from 2017 to 2023 using big data methods.Through Structural Topic Model(STM)text analysis,nine core competencies and values were identified,including integrity,inclusiveness,humanity,connectivity and collaboration,analyzing and planing,learning and developing,adapting and innovating,accountability,and client orientation.The results show significant differences in talent competency requirements across different job networks.The DEVNET has the highest demand for management-related talents,while the ITECNET emphasizes data analysis and strategic planning capabilities.The study also reveals differences in competency requirements across different UN job levels and departments.As levels of position increase,the requirements for integrity,inclusiveness,learning and developing,accountability,and client orientation also increase.In the analysis of various UN departments,the study finds that the General Assembly departments have the highest requirements for learning and development capabilities,the Economic and Social Council departments have the highest requirements for integrity,and the Secretariat departments have higher requirements for inclusion and humanity.Based on these findings,the study proposes countermeasures for China to better push talents to international organizations,including targeting key job networks,focusing on competency differences,strengthening relevant academic disciplines in universities,and increasing coordination efforts.
NETL
NSTL
万方数据
