Research on Enterprise Competitive Information Management Based on Co-Occurrence Analysis
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...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/3981128 |
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| _version_ | 1832548928308903936 |
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| author | Peng Wu Ran Feng |
| author_facet | Peng Wu Ran Feng |
| author_sort | Peng Wu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-f1f6b3140bc34793a1d8429ad1e9414e |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-f1f6b3140bc34793a1d8429ad1e9414e2025-02-03T06:12:50ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/39811283981128Research on Enterprise Competitive Information Management Based on Co-Occurrence AnalysisPeng Wu0Ran Feng1Institute of Management Science and Engineering, Henan University, Kaifeng 475004, ChinaInstitute of Management Science and Engineering, Henan University, Kaifeng 475004, ChinaLink 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.http://dx.doi.org/10.1155/2021/3981128 |
| spellingShingle | Peng Wu Ran Feng Research on Enterprise Competitive Information Management Based on Co-Occurrence Analysis Complexity |
| title | Research on Enterprise Competitive Information Management Based on Co-Occurrence Analysis |
| title_full | Research on Enterprise Competitive Information Management Based on Co-Occurrence Analysis |
| title_fullStr | Research on Enterprise Competitive Information Management Based on Co-Occurrence Analysis |
| title_full_unstemmed | Research on Enterprise Competitive Information Management Based on Co-Occurrence Analysis |
| title_short | Research on Enterprise Competitive Information Management Based on Co-Occurrence Analysis |
| title_sort | research on enterprise competitive information management based on co occurrence analysis |
| url | http://dx.doi.org/10.1155/2021/3981128 |
| work_keys_str_mv | AT pengwu researchonenterprisecompetitiveinformationmanagementbasedoncooccurrenceanalysis AT ranfeng researchonenterprisecompetitiveinformationmanagementbasedoncooccurrenceanalysis |