Bibliometric research on business data analysis based on knowledge graph
Pages 290 - 296
Abstract
With the development of big data technology, data plays a significant role in assisting business decisions and maximizing business value and benefits. In recent years, there have been numerous academic discussions on business data analysis, with scholars researching from different perspectives on how to analyze and mine data in the business field and how to make business data serve businesses. This paper collects literature on business data analysis from the CNKI database, including publications from the PKU core, CSSCI, and CSCD journals from 2013 to 2023. The CiteSpace literature visualization software is employed to conduct descriptive statistical analysis, research hotspot analysis, and research frontier analysis of the research achievements in this field. The results indicate that the research hotspots in this field can be categorized into three main themes: business data profitability and performance analysis, business data mining and intelligent transformation of business models, and business data risk analysis and security protection. Future research should focus on exploring the theme of business data sharing under the backdrop of the digital economy.
References
[1]
Wu Guide.(2022).”Examination and Protection of Business Data as an Object of Intellectual Property”. Intellectual Property, (7):91-109
[2]
Zhao Xian, Zhou Hang.(2021).”Digital Empowerment of Traditional Department Store Transformation: Connotation, Path, and Reference - Transformation Practice from Traditional Department Stores”. Business Economics Research, (4): 9-12
[3]
Andersen Troels Christian Korsgaard, Aagaard Annabeth, etc. (2021).”Exploring business model innovation in SMEs in a digital context: Organizing search behaviors, experimentation, and decision making”. Creativity and Innovation Management, (31): 19-34
[4]
Christine M. O'Keefe, Tim Ayre, etc .(2017).”Perturbated robust linear estimation equations for confidence protection in remote analysis” . Statistics and Computing, (27): 775-787
[5]
Yao Yanyan.(2020).”Empirical Study on the Impact of Capital Structure of Commercial Banks on Profitability: Based on Data Analysis of 11 Listed Banks”. Journal of Southwest University (Natural Science Edition),42 (11): 118-127
[6]
Zhang Huan, Wang Hongmei.(2023).”The Impact of Digital Literacy on Household Commercial Insurance Participation: An Empirical Analysis from the China Family Tracking Survey (CFPS) Data”. Wuhan Finance,(07): 51-60
[7]
Hou Zaikun, Guo Ning, Li Ya, Wang Chenlu.(2022).”A Study on the Influencing Factors of Farmers' Participation in Commercial Insurance: An Empirical Analysis Based on Digital Economy and Chinese Household Tracking Survey Data”. Forestry Economics, 44 (02): 73-84
[8]
Yi Jiabin, Xu Di, Wang Yuting, Yang Xiaoping.(2021).”Learning orientation, big data capabilities, and business model innovation: moderating effects of industry types”. Management Re-view,33 (12): 137-151
[9]
Zhang Jin, Xu Da.(2019).”Internal Control and Risk Management Capability of Commercial Banks: Empirical Analysis Based on Listed Commercial Banks in China”. Wuhan Finance,2019 (06): 66-70
[10]
Zheng Xuanyu, Yang Boya.(2021).”Research on Classification and Protection of Business Data from the Perspective of Emerging Rights “. Science and Law (Chinese and English), (03): 8-16
[11]
Chen Liyan, Lv Guangjin, Rui Tingxian.(2021).”Blockchain based Business Data Sharing Model “.Computer Engineering and Design, 42 (05): 1257-1263
Index Terms
- Bibliometric research on business data analysis based on knowledge graph
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Published In
September 2024
412 pages
ISBN:9798400717529
DOI:10.1145/3697355
Copyright © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.
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Association for Computing Machinery
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Published: 12 December 2024
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BDIOT 2024
BDIOT 2024: 2024 8th International Conference on Big Data and Internet of Things
September 14 - 16, 2024
Macau, China
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Overall Acceptance Rate 75 of 136 submissions, 55%
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