Journal of Information Resources Management ›› 2014, Vol. 4 ›› Issue (3): 60-68.doi: 10.13365/j.jirm.2014.03.060
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Feng Guohe Huang Jiaxing Yang Yang
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Abstract:
The Co-links frequency of websites of bank can be used as a measure of similarity of banks, and is a effective tool for competitive intelligence mining. Collecting chain data of the global banking site through the Yahoo search engine, co-links analysis,cluster analysis, multidimensional scaling analysis, social network analysis are used to study the 25 domestic banks’ competitive position and pattern. The results showed that 25 China banks can be divided into four competition groups, and their competition relationships have three characteristics: the nature of the strong tendency,mutual penetration and differentiation. This research has some guiding significance of competitive intelligence analysis for management consulting, manufacturing industry,banking, electronic commerce industry, website evaluation, academic websites evaluation. And it gives some analysis of ideas,analytic technique in theory and practice.
Key words: Co-links, Cluster analysis, Multidimensional scaling, Social network analysis, Coreedge model, Banks competition, State owned bank, Commercial bank
CLC Number:
G353.1
F832.3
Feng Guohe Huang Jiaxing Yang Yang. Analysis of Bank Competition Relationship Based on Co-links:Taking Domestic Top 25 Banks as the Study Object[J]. Journal of Information Resources Management, 2014, 4(3): 60-68.
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URL: http://jirm.whu.edu.cn/jwk3/xxzyglxb/EN/10.13365/j.jirm.2014.03.060
http://jirm.whu.edu.cn/jwk3/xxzyglxb/EN/Y2014/V4/I3/60