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信息资源管理领域生成式人工智能:研究现状、研究主题及研究展望

张海 段荟 王东波

情报杂志2024,Vol.43Issue(10):150-156,7.
情报杂志2024,Vol.43Issue(10):150-156,7.DOI:10.3969/j.issn.1002-1965.2024.10.020

信息资源管理领域生成式人工智能:研究现状、研究主题及研究展望

Artificial Intelligence Generative Content in Information Resource Management:Research Status,Research Topics and Research Prospect

张海 1段荟 2王东波3

作者信息

  • 1. 嘉兴南湖学院商贸管理学院 嘉兴 314001
  • 2. 嘉兴大学商学院 嘉兴 314001
  • 3. 南京农业大学信息管理学院 南京 210095
  • 折叠

摘要

Abstract

[Research purpose]The deep integration of artificial intelligence generative content(A1GC)and information resource manage-ment is the future trend of disciplinary development.Clarifying the current research status and research topics of AIGC in information re-source management helps to promote the condensed disciplinary system of information resource management in the context of AIGC and a-chieve high-quality development.[Research method]Based on grounded theory and content analysis methods,154 high-quality papers were selected and integrated to clarify and condense the research status and themes of generative artificial intelligence in information re-source management.[Research conclusion]The research results show that information resource management has initially formed six re-search topics around AIGC,including basic theories of information resource management,information technology and methods,digital hu-manities,library services,information management and data science,and users and their needs and behaviors.Based on the current re-search status,characteristics,and themes,this article proposes strategies and suggestions from both theoretical and user research dimen-sions to promote the deep integration of AIGC and information resource management.

关键词

生成式人工智能(AIGC)/大语言模型/ChatGPT/信息资源管理/研究主题/扎根理论/内容分析法

Key words

AIGC/large language model/ChatGPT/information resource management/research topic/grounded theory/content analysis methods

分类

社会科学

引用本文复制引用

张海,段荟,王东波..信息资源管理领域生成式人工智能:研究现状、研究主题及研究展望[J].情报杂志,2024,43(10):150-156,7.

基金项目

国家社会科学基金重大项目"中国古代典籍跨语言知识库构建及应用研究"(编号:21&ZD331)研究成果. (编号:21&ZD331)

情报杂志

OA北大核心CHSSCDCSSCICSTPCD

1002-1965

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