Research on Enterprise Competitive Information Management Based on Co-Occurrence Analysis. (3rd August 2021)

• Record Type: Journal Article
• Authors: Wu, Peng; Feng, Ran
• Other Names: Javaid Muhammad Academic Editor.
• Is Part Of: Complexity. Volume 2021(2021)
• Publication Date: 2021-08-03
• Subjects: Chaotic behavior in systems -- Periodicals; Complexity (Philosophy) -- Periodicals; 003
• DOI: 10.1155/2021/3981128
• Languages: English
• ISSNs: 1076-2787

Abstract

Abstract : Link data source lack has seriously hampered the research development of competitive information for enterprises based on co-link analysis in recent years, and exploring application and innovation of the new method of URL co-occurrence analysis in enterprises competitive information research is very important to make up for current inadequacy. And exploration on problems such as whether Jaccard handling needs to be conducted on collected data and how the effect is to conduct information research in different methods for data in different handling ways is meaningful to theoretical perfection of competitive information research of enterprises. Non-Jaccard data and Jaccard data are compared with examples of Chinese representative banks based on new methods of URL co-occurrence analysis, and competitive information research of enterprises is conducted in the multidimensional scaling method and social network analysis method; and comprehensive exploration and analysis are conducted from multiperspectives such as gradient grading analysis, recognition of main competitors, and competitive landscape analysis of fine grit. Innovative research competitive information for enterprises based on URL co-occurrence analysis in this thesis effectively makes up for current inadequacy due to link data source lack, and it expands new spaces for competitive information research of enterprises; it is also in research in this thesis that analysis result based on non-Jaccard data is far better than analysis result based on Jaccard data when multidimensional scaling analysis is conducted; analysis result based on non-Jaccard data and analysis result based on Jaccard data uncover competitive information of related enterprises when social network analysis is conducted, and above conclusions in this thesis are all verified and analyzed through example data.