引文分析视角的数字经济知识扩散研究
Research on Knowledge Diffusion in Digital Economy from the Perspective of Citation Analysis
DOI: 10.12677/MM.2022.1212217, PDF,    科研立项经费支持
作者: 申 倩：内蒙古财经大学经济学院，内蒙古 呼和浩特
关键词: 数字经济；知识扩散；引文分析；文本挖掘；Digital Economy； Knowledge Diffusion； Citation Analysis； Text Mining
摘要: 为量化数字经济研究引文网络中的知识扩散程度，从多维度揭示数字经济研究知识扩散结构、关联和演化特征。本文以2007~2022年间Web of Science中核心数据库3732篇引文数据及其施引文献为数据源，采用引文分析、文本挖掘法和网络分析法，从学术期刊、涉及学科、研究机构等信息探究数字经济研究的知识扩散特征。分析数字经济研究的知识扩散情况。借助知识扩散广度、强度和速度等指标进行量化分析。同时，从数字经济引文数据中进行信息萃取，对主题、短语、命名实体进行分析。研究发现，数字经济知识扩散范围不断扩大，学科间知识扩散不均衡。限于研究数据均为学术文献，非结构化资料的挖掘不足。
Abstract: To quantify the degree of knowledge diffusion in the citation network of digital economy research, and reveal the structure, correlation and evolution characteristics of knowledge diffusion in digital economy research from multiple dimensions, this paper has adopted 3732 citation data and citation references in the core database of Web of Science from 2007 to 2022 as the data source. Citation analysis, text mining and network analysis were used to explore the knowledge diffusion characteristics of digital economy research from academic journals, related disciplines, research institutions and other information. To analyze the knowledge diffusion of digital economy research, the breadth, intensity and speed of knowledge diffusion are used for quantitative analysis. At the same time, information extraction is carried out from the citation data of digital economy, and the theme, phrase and named entity are analyzed. It is found that the diffusion of knowledge in digital economy is expanding, and the diffusion of knowledge among disciplines is not balanced. The research data are all academic literature, and the mining of unstructured data is insufficient.
文章引用：申倩. 引文分析视角的数字经济知识扩散研究[J]. 现代管理, 2022, 12(12): 1669-1683. https://doi.org/10.12677/MM.2022.1212217

参考文献

[1] 奇平. 21世纪数字经济与企业未来——本刊主编姜奇平在英特尔“企业决胜世纪论坛”上的主题讲演[J]. 互联网周刊, 1998(6): 7.
[2] 赵涛, 张智, 梁上坤. 数字经济、创业活跃度与高质量发展——来自中国城市的经验证据[J]. 管理世界, 2020, 36(10): 65-76.
[3] 许宪春, 张美慧. 中国数字经济规模测算研究——基于国际比较的视角[J]. 中国工业经济, 2020(5): 23-41.
[4] 荆文君, 孙宝文. 数字经济促进经济高质量发展: 一个理论分析框架[J]. 经济学家, 2019(2): 66-73.
[5] Boyd, D. and Crawford, K. (2012) Critical Questions for Big Data Provocations for a Cultural, Technological, and Scholarly Phenomenon. Information Communication & Society, 15, 662-679. [Google Scholar] [CrossRef] 
[6] Neirotti, P., De Marco, A., Cagliano, A.C., et al. (2014) Current Trends in Smart City Initiatives: Some Stylised Facts. Cities, 38, 25-36. [Google Scholar] [CrossRef] 
[7] Bansal, S., Singh, S. and Nangia, P. (2022) Assessing the Role of Natural Resource Utilization in Attaining Select Sustainable Development Goals in the Era of Digitalization. Resources Policy, 79, Article ID: 103040. [Google Scholar] [CrossRef] 
[8] Gontar, L. (2019) Legal Procuring of International Information/Cyber Security of the Digital Economy: Economic and Legal Aspects. E-Management, 1, 61-66. [Google Scholar] [CrossRef] 
[9] Somina, I. and Fal’Ko, A. (2020) Theoretical and Methodological Research of Terminological Subordination in Innovation and Digital Economy. Vestnik of Astrakhan State Technical University Series: Economics, No. 3, 35-41. [Google Scholar] [CrossRef] 
[10] Nudurupati, S.S., Tebboune, S. and Hardman, J. (2016) Contemporary Performance Measurement and Management (PMM) in Digital Economies. Production Planning & Control, 27, 226-235. [Google Scholar] [CrossRef] 
[11] Mueller, S.C., Bakhirev, A., Böhm, M., et al. (2017) Measuring and Mapping the Emergence of the Digital Economy: A Comparison of the Market Capitalization in Selected Countries. Digital Policy, Regulation and Governance, 19, 367-382. [Google Scholar] [CrossRef] 
[12] 张梦婷. 基于用户隐性知识的产品演化度评估[D]: [硕士学位论文]. 徐州: 中国矿业大学, 2022.
[13] 苏芳荔, 常人杰. 数字人文跨学科知识扩散研究[J]. 兰台世界, 2021(2): 47-50.
[14] 徐英. 高被引学者跨学科特征及其测度研究[D]: [硕士学位论文]. 上海: 华东师范大学, 2022.
[15] 陈颖颖. 科研合作网络的动态演化研究[D]: [硕士学位论文]. 昆明: 昆明理工大学, 2021.
[16] 康鑫, 赵丹妮. 知识势差、知识隐匿与知识进化: 组织惰性的调节作用[J]. 科技进步与对策, 2021, 38(6): 122-130.
[17] Gandini, A. (2016) Digital Work. Marketing Theory, 16, 123-141. [Google Scholar] [CrossRef] 
[18] Zysman, J. Newman, A. (2006) How Revolutionary Was the Digital Revolution? National Responses, Market Transitions, and Global Technology. Stanford University Press, Stanford. [Google Scholar] [CrossRef] 
[19] Bloom, G., Berdou, E., Standing, H., et al. (2017) ICTs and the Challenge of Health System Transition in Low and Middle-Income Countries. Globalization and Health, 13, Article No. 56. [Google Scholar] [CrossRef] [PubMed]
[20] 董晓松, 夏寿飞, 谌宇娟, 等. 基于科学知识图谱的数字经济研究演进, 框架与前沿中外比较[J]. 科学学与科学技术管理, 2020, 41(6): 108-127.
[21] Dasgupta, K. (2012) Learning and Knowledge Diffusion in a Global Economy. Journal of International Economics, 87, 323-336. [Google Scholar] [CrossRef] 
[22] 刘宣冶, 洪亮. 基于引文分析的情报学知识扩散研究[J]. 文献与数据学报, 2019, 1(3): 71-80.

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