科学知识图谱用户使用意愿影响因素研究

黄梅; 周俊; 付家炜; 方晓印

doi:10.13266/j.issn.2095-5472.2026.018

知识管理论坛 ›› 2026, Vol. 11 ›› Issue (3) : 0. DOI: 10.13266/j.issn.2095-5472.2026.018 CSTR: 32306.14.j.issn.2095-5472.2026.018

研究论文

科学知识图谱用户使用意愿影响因素研究

黄梅 ¹ ,
周俊 ² ,
付家炜 ³ ,
方晓印 ⁴

作者信息 +

Research on Factors Influencing Users' Willingness to Use Scientific Knowledge Graphs

Author information +

文章历史 +

摘要

【目的/意义】探索科学知识图谱用户使用意愿影响因素及其作用机理，旨在推动科学知识图谱的发展，提升科学知识图谱辅助科研决策的能力。【方法/过程】采用扎根理论对访谈文本进行三级编码分析，提炼出科学知识图谱用户使用意愿影响因素的三级范畴，并梳理主范畴之间的关系，构建科学知识图谱用户使用意愿影响因素的理论模型。【结果/结论】可视化呈现、可视化内容、工具设计、技术特征、感知效用、个体特征对使用意愿有直接作用，其中可视化呈现不仅通过可视化内容间接影响使用意愿，还通过影响可视化内容继而影响感知效用从而间接影响使用意愿。最后，提出科学知识图谱发展与优化建议。

Abstract

[Purpose/Significance] To explore the influencing factors and mechanisms of users' intention to use mapping knowledge domains, promote the development of mapping knowledge domains, and enhance the ability of mapping knowledge domains to assist scientific research decision-making. [Method/Process] This study used grounded theory to conduct three-level coding analysis on interview texts, extracted the three-level categories of factors influencing the intention to use mapping knowledge domain users, and sorted out the relationships between the main categories, constructing a theoretical model of factors influencing the intention to use mapping knowledge domain users. [Result/Conclusion] Visual presentation, visual content, tool design, technical features, perceived utility, and individual characteristics have a direct impact on usage intention. Visual presentation not only indirectly affects usage intention through visual content, but also indirectly affects usage intention by influencing visual content and subsequently affecting perceived utility. Finally, suggestions for the development and optimization of mapping knowledge domains are proposed.

导出引用

黄梅 , 周俊 , 付家炜 , 等. 科学知识图谱用户使用意愿影响因素研究[J]. 知识管理论坛. 2026, 11(3): 0 https://doi.org/10.13266/j.issn.2095-5472.2026.018

Huang Mei , Zhou Jun , Fu Jiawei , et al. Research on Factors Influencing Users' Willingness to Use Scientific Knowledge Graphs[J]. Knowledge Management Forum. 2026, 11(3): 0 https://doi.org/10.13266/j.issn.2095-5472.2026.018

中图分类号： G255

参考文献

列表( 原文顺序 | 文献年度倒序 | 文中引用次数倒序 ) 可视化分析

[1]	CHEN C. Searching for intellectual turning points: progressive knowledge domain visualization[J]. Proceedings of the National Academy of Sciences, 2004, 101(S1): 5303-5310. 本文引用 [2]

[2]	刘自强, 岳丽欣, 许海云, 等. 时序共词网络构建及其动态可视化研究 [J]. 情报学报, 2020, 39(2): 186-198. LIU Z Q, YUE L X, XU H Y, et al. Construction of a temporal co-word network and its dynamic visualization[J]. Journal of the China Society for Scientific and Technical Information, 2020, 39(2): 186-198. 本文引用 [2]

[3]	陈悦, 刘则渊. 悄然兴起的科学知识图谱 [J]. 科学学研究, 2005(2): 149-154. CHEN Y, LIU Z Y. The rise of mapping knowledge domain[J]. Studies in science of science, 2005(2): 149-154. 本文引用 [1]

[4]	曹雪婷, 余厚强. 科学计量工具冗余了吗?——基于常规分析路径的比较研究 [J]. 图书情报知识, 2021, 38(4): 93-101, 92. CAO X T, YU H Q. Are scientometric analysis tools redundant: a comparative study based on conventional analysis approach[J]. Document, informaiton & knowledge, 2021, 38(4): 93-101, 92. 本文引用 [1]

[5]	陈悦, 刘则渊, 陈劲, 等. 科学知识图谱的发展历程 [J]. 科学学研究, 2008(3): 449-460. CHEN Y, LIU Z Y, CHEN J, et al. History and theory of mapping knowledge domains[J]. Studies in science of science, 2008(3): 449-460. 本文引用 [1]

[6]	COBO M J, LOPEZ-HERRERA A G, HERRERA-VIEDMA E, et al. An approach for detecting, quantifying, and visualizing the evolution of a research field: a practical application to the fuzzy sets theory field[J]. Journal of informetrics, 2011, 5(1): 146-166. 本文引用 [1]

[7]	VAN ECK N, WALTMAN L. Software survey: VOSviewer, a computer program for bibliometric map[J]. Scientometrics, 2010, 84(2): 523-538. 本文引用 [1]

[8]	GARFIELD E. Historiographic map of knowledge domains literature[J]. Journal of information science, 2004, 30(2): 119-145. 本文引用 [1]

[9]	周彤, 曹旻, 邹序明. 公共图书馆服务效能研究现状、热点与展望——基于CiteSpace的可视化分析[J]. 图书馆, 2025(5): 15-24. ZHOU T, CAO M, ZOU X M. Research status, hotspots, and prospects of public library service efficiency: a visual analysis based on CiteSpace[J]. Library, 2025(5): 15-24. 本文引用 [1]

[10]

马晓飞, 张尔赫. “数字中国”建设背景下高校学生计算思维培养研究：热点、趋势与建议 [J]. 图书情报工作, 2023, 67(13): 142-151.

X F

, ZHANG

E H

. Research on the cultivation of computational thinking among college students under the background of "digital China" construction: hot spots, trends, and suggestions[J]. Library and information service, 2023, 67(13): 142-151.

本文引用 [1]

[11]	王婧美, 吴心羽. 国内图书馆知识管理研究热点与前沿分析 [J]. 图书馆学研究, 2024(8): 2-9. WANG J M, WU X Y. Analysis of hotspots and frontiers in domestic library knowledge management research[J]. Research on library science, 2024(8): 2-9. 本文引用 [1]

[12]

施萧萧, 张庆普. 基于共词分析的国外颠覆性创新研究现状及发展趋势 [J]. 情报学报, 2017, 36(7): 748-759.

SHI

X X

, ZHANG

Q P

. Study of status and development direction of international disruptive innovation: based on co-word analysis[J]. Journal of the China Society for Scientific and Technical Information, 2017, 36 (7): 748-759.

本文引用 [1]

[13]	岳丽欣, 刘自强, 许海云. 基于交互式可视化的领域知识图谱构建研究[J].情报科学, 2020, 38(6):145-150. YUE L X, LIU Z Q, XU H Y. Domain knowledge mapping construction based on interactive visualization[J]. Information science, 2020, 38(6):145-150. 本文引用 [1]

[14]	DAVIS F D. Perceived usefulness, perceived ease of use, and user acceptance of information technology[J]. MIS quarterly, 1989, 13(3): 319-340. 本文引用 [2]

[15]	张海, 刘畅, 王东波, 等. ChatGPT用户使用意愿影响因素研究[J]. 情报理论与实践, 2023, 46(4): 15-22. ZHANG H, LIU C, WANG D B, et al. Research on the influencing factors of ChatGPT users' intention[J]. Information studies: theory & application, 2023, 46(4): 15-22. 本文引用 [2]

[16]	曹高辉, 徐元. 数字图书馆使用意愿影响因素研究综述 [J]. 图书情报工作, 2019, 63(4): 142-150. CAO G H, XU Y. Review on the factors of using intention in digital library[J]. Library and information service, 2019, 63(4): 142-150. 本文引用 [1]

[17]	张熠, 徐艺玲, 程慧平, 等. UTAUT模型在国内IT/IS采纳实证研究中的应用现状分析 [J]. 现代情报, 2018, 38(11): 123-129. ZHANG Y, XU Y L, CHENG H P, et al. Analysis on the current status of empirical study on the adoption of IT/IS by applying UTAUT model in China[J]. Journal of modern information, 2018, 38(11): 123-129. 本文引用 [1]

[18]	欧阳博, 刘坤锋, 杨海娟. 国外信息系统持续使用模型应用研究综述 [J]. 现代情报, 2017, 37(8): 171-177. OU Y B, LIU K F, YANG H J. Review on application research of expectation confirmation model of IS continuance abroad[J]. Journal of modern information, 2017, 37(8): 171-177. 本文引用 [1]

[19]	DELONE W H, MCLEAN E R. Information systems success: the quest for the dependent variable[J]. Information systems research, 1992, 3(1): 60-95. 本文引用 [1]

[20]	BHATTACHERJEE A. Understanding information systems continuance: an expectation-confirmation model[J]. MIS quarterly, 2001, 25(3): 351-370. 本文引用 [1]

[21]	郭财强, 明均仁. 移动图书馆用户持续使用意愿整合模型及其实证研究[J]. 现代情报, 2020, 40(9): 79-89. GUO C Q, MING J R. Integrated model and empirical study on users' continuous usage willingness of mobile library [J]. Journal of modern information, 2020, 40(9): 79-89. 本文引用 [1]

[22]	刘睿, 韦景竹. 国家公共文化云APP公众持续使用意愿研究 [J]. 情报资料工作, 2020, 41(4): 39-48. LIU R, WEI J Z. Research on public willingness to use the national public culture cloud APP[J]. Information and documentation services, 2020, 41(4): 39-48. 本文引用 [1]

[23]

张敏, 龙贝妮, 刘盈, 等. 短视频APP用户持续使用之影响因素探究及其对该领域公共治理之启示 [J]. 现代情报, 2020, 40(3): 65-73.

ZHANG

, LONG

B N

, LIU

Yet al

. Analysis on the influencing factors of short video users' continuance intention and its enlightenment for public administration [J]. Journal of modern information, 2020, 40(3): 65-73.

本文引用 [1]

[24]	张坤, 吕淑仪, 王建亚, 等. 有声阅读平台用户持续使用行为的影响机理研究 [J]. 图书情报工作, 2024, 68(22): 115-125. ZHANG K, LV S Y, WANG J Y, et al. Research on the mechanism influencing continuous usage behavior of audiobook platform users[J]. Library and information service, 2024, 68(22): 115-125. 本文引用 [1]

[25]	GLASER B G, STRAUSS A L, STRUTZEL E. The discovery of grounded theory; strategies for qualitative research[J]. Nursing research, 1968, 17(4): 364-365. 本文引用 [1]

[26]	靳代平, 王新新, 姚鹏. 品牌粉丝因何而狂热?——基于内部人视角的扎根研究 [J]. 管理世界, 2016(9): 102-119. JIN D P, WANG X X, YAO P. Why are brand fans so passionate? rooted research based on the perspective of insiders[J]. Management world, 2016(9): 102-119. 本文引用 [1]

[27]	刘合翔. 可视化应用的评估方法研究综述 [J]. 现代情报, 2020, 40(4): 148-158. LIU H X. Research review on evaluation methods of visualization application[J]. Journal of modern information, 2020, 40(4): 148-158. 本文引用 [1]

[28]	张迪, 赵亚娟, 赵慧敏, 等. 情报产品可视化展示模式和方法研究 [J]. 情报理论与实践, 2020, 43(2): 66-71. ZHANG D, ZHAO Y J, ZHAO H M, et al. Research on visualization model and method of information products[J]. Information studies: theory & application, 2020, 43(2): 66-71. 本文引用 [1]

[29]	梁帅, 韩军徽, 李正风. 科学学的理想、演进与走向 [J]. 科学学与科学技术管理, 2022, 43(11): 78-87. LIANG S, HAN J H, LI Z F. The ideal, evolution and trend of "science of science"[J]. science of science and management of S.& T., 2022, 43(11): 78-87. 本文引用 [1]

[30]	侯剑华. 计算科学学：数智驱动的科学学新发展 [J]. 科学学研究, 2025, 43(7): 1395-1402. HOU J H. Computational science of science: new developments in science of science driven by digital and intelligent technologies[J]. Studies in science of science, 2025, 43(7): 1395-1402. 本文引用 [1]

[31]	陈悦, 谢俊杰, 王智琦. 科学计量学的跨学科研究范式演变和发展进路 [J]. 科学学研究, 2025, 43(2): 291-299. CHEN Y, XIE J J, WANG Z Q. Evolution of interdisciplinary research paradigms and development approach in scientometrics[J]. Studies in science of science, 2025, 43(2): 291-299. 本文引用 [1]

[32]	陈悦, 陈超美, 刘则渊, 等. CiteSpace知识图谱的方法论功能 [J]. 科学学研究, 2015, 33(2): 242-253. CHEN Y, CHEN C M, LIU Z Y, et al. The methodology function of CiteSpace mapping knowledge domains[J]. Studies in science of science, 2015, 33(2): 242-253. 本文引用 [1]