Abstract:

[Purpose/Significance] Against the backdrop of China's vigorous promotion of the digital economy and and transformation of digital governance, the discipline of information resource management, which is crucial to national information strategy and intelligent industry development, is in high demand for innovative, high-level talent. Doctoral talent, as the core of disciplinary frontier research and professional practice innovation in disciplines, is currently facing severe challenges in labor market supply and demand matching. The overall scale of doctoral training in this field is relatively small, and graduates tend to be homogeneous in terms of their training orientation, knowledge structure and research direction, which is difficult for them to adapt to the diverse, hierarchical and practical needs of the expanding job market. However, the existing academic research pays insufficient attention to the systematic analysis of the supply-demand relationship in the doctoral employment market, and lacks in-depth empirical investigation on the structural characteristics and dynamic evolution of supply and demand. Therefore, this study uses an analytical framework of supply and demand, to conduct an in-depth exploration of the employment structure, market demand trends and degree of supply-demand matching degree of doctoral talent in information resource management. This study aims to provide solid empirical support and practical guidance for optimizing the doctoral training system, adjusting the training direction and formulating scientific and effective talent policies. [Method/Process] This study constructs a comprehensive and multi-dimensional database for analyzing the supply and demand of doctoral talent. On the supply side, it systematically collected the data of doctoral program distribution, enrollment scale and graduation status from 2016 to 2024; on the demand side, it collected a large number of recruitment information from 2016 to January 2025, covering universities, research institutes, military-civilian integration positions, university libraries and high-tech enterprises. Meanwhile, a questionnaire survey was conducted from October 2024 to January 2025 to obtain the micro-level employment characteristics of graduates. All data were unified and calibrated to January 2025 to ensure the consistency and comparability of the research data. Based on descriptive statistics, structural analysis and supply-demand comparative analysis, this study systematically examined the dynamic changes of doctoral training scale, the diversification process of job types and the evolution trend of market demand. [Results/Conclusions] The results show that the overall supply of doctoral talent in information resource management in China is insufficient, the regional distribution is extremely imbalanced, and there is a serious shortage of talent in emerging interdisciplinary fields. On the demand side, the market demand shows a continuous expansion trend, universities are still the main employers, and the recruitment demand from military-civilian positions, university libraries and research institutes has increased significantly, and the types of positions are increasingly diversified. Although the overall scale of supply and demand is gradually balanced, structural mismatches are still prominent in regional distribution, job hierarchy and competency requirements. Therefore, this study suggests that we should optimize the doctoral training structure, strengthen the cultivation of practical and interdisciplinary abilities, promote the rational flow of talented people among regions, and expand diversified employment channels, so as to effectively alleviate the contradiction between supply and demand and improve the allocation efficiency and matching quality of the doctoral talent market.

Key words: information resource management, doctoral education, employment market, supply-demand analysis, talent structure