图书情报工作

图书情报工作 >

2026 , Vol. 70 >Issue 16: 161 - 180

DOI: https://doi.org/10.13266/j.issn.0252-3116.2026.16.029

研究论文

令人心动的offer：人工智能语境下图书馆员岗位能力的市场表达与IFLA技能框架适配性研究

  • 冯昌扬 ,
  • 吴秀蓉 ,
  • 刘人豪
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  • 1 华中师范大学信息管理学院 武汉 430079;
    2 中南财经政法大学信息工程学院 武汉 430073
冯昌扬，副教授，博士，硕士生导师，E-mail：cyfeng@ccnu.edu.cn；吴秀蓉，硕士研究生；刘人豪，硕士研究生。

收稿日期: 2025-07-09

  修回日期: 2025-09-10

  网络出版日期: 2026-08-20

基金资助

本文系国家社会科学基金青年项目“数智时代基于多模态数据的儿童数字幸福感综合测量及影响因素研究”（项目编号：23CTQ009）研究成果之一。

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Heartwarming Offer: A Study of Market Expression of Librarian Job Competencies in the Context of Artificial Intelligence and IFLA Skills Framework Fit

  • Feng Changyang ,
  • Wu Xiurong ,
  • Liu Renhao
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  • 1 School of Information Management, Central China Normal University, Wuhan 430079;
    2 School of Information Engineering, Zhongnan University of Economics and Law, Wuhan 430073
Feng Changyang, Associate Professor, PhD, Master’s Supervisor, E-mail: cyfeng@ccnu.edu.cn; Wu Xiurong, Master’s Candidate; Liu Renhao, Master’s Candidate.

Received date: 2025-07-09

  Revised date: 2025-09-10

  Online published: 2026-08-20

Supported by

This work is supported by the youth project of the National Social Science Fund of China titled “Research on Comprehensive Measurement and Influencing Factors of Children’s Digital Well-being Based on Multimodal Data in the Age of Digital Intelligence” (Grant No. 23CTQ009).

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摘要

[目的/意义] 人工智能在图书馆中的嵌入重塑着图书馆员的职能与能力需求。本研究旨在探索当前图书馆员岗位能力的市场表达特征，并检验IFLA技能框架在国内语境下的适配性，以期为求职者定位能力提升方向、优化职业竞争力提供科学依据。[方法/过程] 以IFLA《趋势报告技能议程》（2025）的技能框架为分类依据，收集1 848份中文招聘文本作为样本。通过BERT分类模型自动识别能力需求及其需求强度，并采用社会网络分析与聚类方法对能力需求进行结构化建模，探索能力需求结构的内在特征与组合模式。[结果/结论] 研究发现：①图书馆员能力需求结构呈现“高低分化”特征，能力需求强度的表达呈现出“刚性化”特征，即多数能力需求以“具备较强”“熟练掌握”等强需求语句出现，而较少采用“不限”或“喜爱”等模糊或弹性的弱需求表述，传统与新兴能力需求、必备与附加能力需求融合共现；②图书馆员能力需求之间存在明显的协同相关性，能力需求结构呈现“核心—边缘”分层分布；③基于能力需求向量聚类分析识别出5类岗位类型：基础专精型、项目统筹型、技术研发型、社群协作型、信息风控型。[创新/价值] 本研究首次从IFLA技能框架视角系统检验其在中文招聘市场中的适配性，提出能力需求识别流程与能力需求结构分析路径，为图书馆人力资源管理、专业教育及组织转型与政策制定等提供理论支撑与数据基础。

关键词： 人工智能; IFLA《趋势报告技能议程》; 图书馆员能力需求; 招聘广告; 自然语言处理

本文引用格式

冯昌扬 , 吴秀蓉 , 刘人豪 . 令人心动的offer：人工智能语境下图书馆员岗位能力的市场表达与IFLA技能框架适配性研究[J]. 图书情报工作, 2026 , 70(16) : 161 -180 . DOI: 10.13266/j.issn.0252-3116.2026.16.029

Abstract

[Purpose/Significance] The embedding of artificial intelligence in libraries reshapes the functions and job competence needs of librarians. The purpose of this paper is to explore the characteristics of the current market expression of librarianship competencies, and to test the adaptability of the IFLA skills framework in the domestic context, with a view to providing a scientific basis for job seekers to orient the direction of competency enhancement and optimise their career competitiveness. [Method/Process] This study takes the skills framework of IFLA's A Skills Agenda for the Trend Report(2025) as the classification basis, and collects 1 848 Chinese recruitment texts as samples. The job competency requirements and their demand intensity are automatically identified by Bert's classification model, and the competency requirements are structurally modelled using social network analysis and clustering methods to explore the intrinsic characteristics and combination patterns of the structure of job competency requirements. [Result/Conclusion] The study found that:① The structure of competency requirements for librarian positions shows the characteristics of “high and low differentiation”, and the expression of the intensity of competency requirements shows the characteristics of “rigidity”. That is, most of the competence needs appear in the form of “strong”, “proficient” and other strong demand statements, and less use of “unlimited” or “favourite” and other fuzzy or elastic weak demand expressions, traditional and emerging competence needs, essential and additional competence needs, the need to be able to meet the needs of the students. Emerging competence needs, essential and additional competence needs integration co-exist;② There is an obvious synergistic correlation between the competence needs of librarians, job competence needs structure presents a “core-edge” hierarchical distribution;③ Based on the competence needs vector clustering analysis identifies five types of job types: basic specialisation type, project co-ordination type, technology development type, and specialized type, project co-ordination type, technology research and development type, and specialized type, Project co-ordination type, technology research and development type, community co-operation type, information risk control type. [Innovation/Value] This study systematically examines the applicability of the IFLA skills framework in the Chinese recruitment market from the perspective of the IFLA skills framework, and to propose the process of identifying competency needs and the path of analysing the structure of competency needs, so as to provide theoretical support and data basis for human resource management, professional education and organizational transformation and policy making in libraries.

Key words： artificial intelligence; IFLA's A Skills Agenda for the Trend Report; competency requirements for librarian positions; job advertisements; NLP

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