综述

信息资源管理领域方法有效性验证研究综述

  • 慕青秀 ,
  • 董坤 ,
  • 于瑶 ,
  • 崔子航
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  • 山东理工大学信息管理学院 淄博 255049
慕青秀,硕士研究生;董坤,副教授,博士,硕士生导师,通信作者,E-mail: dongkun@sdut.edu.cn;于瑶,馆员,硕士;崔子航,硕士研究生。
32305.14.CN11-1541.2026.18.011

收稿日期: 2025-07-18

  修回日期: 2025-10-01

  网络出版日期: 2026-09-08

基金资助

本文系山东省社会科学规划项目“山东省重点产业关键核心技术识别及预测方法研究”(项目编号: 25CLJJ40)研究成果之一。

A Review of Research on the Validation of Method Effectiveness in the Field of Information Resource Management

  • Mu Qingxiu ,
  • Dong Kun ,
  • Yu Yao ,
  • Cui Zihang
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  • School of Information Management, Shandong University of Technology, Zibo 255049
Mu Qingxiu, Master’s Candidate; Dong Kun, Associate Professor, PhD, Master’s Supervisor, Corresponding Author, E-mail:dongkun@sdut.edu.cn; Yu Yao, Librarian, Master; Cui Zihang, Master’s Candidate.

Received date: 2025-07-18

  Revised date: 2025-10-01

  Online published: 2026-09-08

Supported by

This work is supported by the Shandong Province Social Sciences Planning Project titled “Research on the Identification and Prediction Methods of Key Core Technologies for Key Industries in Shandong Province” (Grant No. 25CLJJ40).

摘要

[目的/意义] 对国内外信息资源管理领域方法有效性验证研究进行系统梳理与评述,为未来该领域方法有效性验证体系构建与实践提供系统性参考依据。[方法/过程] 以信息资源管理领域方法有效性验证主题文献为研究对象,在厘清有效性验证相关概念的基础上,系统归纳5种主流验证方法及其适用场景,深入剖析该领域验证工作的特点与难点,探讨跨学科方法借鉴与人工智能技术赋能下的未来发展趋势,并针对现有研究的局限性提出未来研究展望。[结果/结论] 当前研究主要依托专家知识、交叉验证、对比分析、现实依据和量化指标等途径进行方法有效性验证,各方法间存在交叉互补性。未来需重视有效性验证相关理论研究、从方法组合视角完善验证体系、深化人工智能技术在方法有效性验证中的融合应用,并推动跨学科验证方法的系统整合与创新应用。

本文引用格式

慕青秀 , 董坤 , 于瑶 , 崔子航 . 信息资源管理领域方法有效性验证研究综述[J]. 图书情报工作, 2026 , 70(18) : 146 -158 . DOI: 10.13266/j.issn.0252-3116.2026.18.011

Abstract

[Purpose/Significance] This paper systematically reviews and summarizes the research on the validation of method effectiveness in the field of information resource management both domestically and internationally, providing a systematic reference for the future construction and practice of an effectiveness validation system in this field. [Method/Process] Taking the literature on method effectiveness validation in information resource management as the research object, and based on clarifying the related concepts, this paper systematically summarizes five mainstream validation methods and their applicable scenarios. It deeply analyzes the characteristics and difficulties of validation work in this field, discusses future trends empowered by interdisciplinary methods and AI technology, and proposes future research prospects in view of the limitations of existing research. [Result/Conclusion] Currently, method effectiveness validation in this field mainly relies on expert knowledge, cross-validation, comparative analysis, empirical evidence, and quantitative indicators, with cross-complementarity among these methods. In the future, it is necessary to emphasize theoretical research on effectiveness validation, improve the validation system from the perspective of method combination, deepen the integrated application of artificial intelligence technology, and promote the systematic integration and innovative application of interdisciplinary validation methods.

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