| 组织间信息系统扩散研究主题演化 |
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| 引用本文： | 张欣,李全喜,王姣.组织间信息系统扩散研究主题演化[J].情报科学,2022,39(2):177-182. |
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| 作者姓名： | 张欣 李全喜 王姣 |
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| 作者单位： | 吉林大学管理学院;东北师范大学信息科学与技术学院 |
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| 基金项目： | 东北师范大学社科基金青年团队项目“组织间信息系统扩散机理、扩散能力及扩散绩效评价研究”(1909104)。 |
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| 摘 要： | 【目的/意义】面对越来越激烈的竞争环境，现代企业亟待提高自身的核心竞争力，而组织间信息系统为企
业实现跨组织资源流动提供了一个有力的途径。【方法/过程】本文利用知识可视化工具从发文规律、核心作者群
体、研究主题的时间变化等方面对国内外组织间信息系统研究成果进行归纳总结。【结果/结论】最后得出未来研究
应该跳出地理因素限制，扩展合作网络，利用科学的新方法对组织间信息系统的调节与管理进行深一步的研究。
【创新/局限】对组织间信息系统的研究现状进行了比较全面的梳理，在后续研究中可以进一步细化主题分类。
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| 关 键 词： | 组织间信息系统 跨组织信息系统 主题识别 热点演化 知识可视化 |
Inter-Organizational Information System Diffusion Research Theme Evolution |
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| ZHANG Xin,LI Quan-xi,WANG Jiao.Inter-Organizational Information System Diffusion Research Theme Evolution[J].Information Science,2022,39(2):177-182. |
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| Authors: | ZHANG Xin LI Quan-xi WANG Jiao |
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| Affiliation: | (School of Management,Jilin University,Changchun 130022,China;School of Information Science and Technology,Northeast Normal University,Changchun 130117,China) |
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| Abstract: | 【Purpose/significance】In the face of an increasingly competitive environment,modern enterprises urgently need to improve their core competitiveness, and inter-organizational information systems provide a powerful way for enterprises to achieve cross-organizational resource flow.【Method/process】In this paper,we use knowledge visualization tools to summarize the research results of domestic and foreign inter-organizational information systems in terms of posting patterns,core author groups,and temporal changes of research topics.【Result/conclusion】Finally,it is concluded that future research should go beyond the limitations of geographical factors,extend the cooperation network,and use new scientific methods to conduct deeper research on the regulation and management of inter-organizational information systems.【Innovation/limitation】A more comprehensive overview of the current state of research on inter-organizational information systems is provided,and the classification of topics can be further refined in subsequent studies. |
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| Keywords: | inter-organizational information systems topic identification hot-spots evolution knowledge visualization |
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