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2025 , Vol. 69 >Issue 6: 72 - 84

DOI: https://doi.org/10.13266/j.issn.0252-3116.2025.06.006

RESEARCH PAPERS

A Study on Generative Artificial Intelligence Anxiety and Its Influencing Factors Among Information Resource Management Students

  • Ge Zihao ,
  • Lu Kequan ,
  • Li Gang
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  • 1 The School of Information Management, Nanjing University, Nanjing 210023;
    2 China Think Tank Research and Evaluation Center, Nanjing University, Nanjing 210023
Ge Zihao,doctoral candidate;Lu Kequan,doctoral candidate;Li Gang,dean and chief expert,professor,doctoral supervisor,corresponding author,E-mail:ligang@nju.edu.cn.

Received date: 2024-05-13

  Revised date: 2024-09-01

  Online published: 2025-03-18

Supported by

This work is supported by the general project of philosophical and social science research in Jiangsu colleges and universities titled “Research on Health Information Anxiety and Decision-making Compliance of Low-risk Preference Groups in the Context of AI Medicine” (Project Number: 2024SJYB0806) and the National Social Science Fund of China 13th Five-Year Plan 2020 Education project titled “Research on International Experience and China’s Path in the Construction of Educational Think Tanks” (Grant No. BGA200054).

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Abstract

[Purpose/Significance] The development of generative artificial intelligence has sparked a new round of social anxiety. As the discipline of information resource management is closely related to this technology, students are more susceptible to various forms of anxieties. [Method/Process] The study, based on the theory of fear acquisition and the structural model of technological fear generation, constructed a structural model of generative artificial intelligence anxiety among students in the information resource management. Utilizing a questionnaire survey method, the research investigated three dimensions of anxiety: learning anxiety, employment anxiety, and environmental anxiety. It also analyzed the influencing factors of artificial intelligence anxiety. [Result/Conclusion] Students in the Information Resource Management generally experience AI anxiety, with employment anxiety being the most severe. The level of the university and the student’s rural background significantly influence their anxiety levels. Students from higher-level universities and rural areas tend to experience greater anxiety. Discrepancies between curricula and intense competition exacerbate learning anxiety, while the potential displacement of jobs by generative AI contributes to employment anxiety. There is an urgent need to create a social environment that promotes the development and utilization of generative artificial intelligence.

Key words： generative artificial intelligence; information resource management; technology anxiety; student anxiety

Cite this article

Ge Zihao , Lu Kequan , Li Gang . A Study on Generative Artificial Intelligence Anxiety and Its Influencing Factors Among Information Resource Management Students[J]. Library and Information Service, 2025 , 69(6) : 72 -84 . DOI: 10.13266/j.issn.0252-3116.2025.06.006

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