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dc.contributor.author陳怡伶en_US
dc.contributor.authorChen, Yi-Lingen_US
dc.contributor.author唐瓔璋en_US
dc.contributor.authorTang, Ying-Chanen_US
dc.date.accessioned2014-12-12T01:45:41Z-
dc.date.available2014-12-12T01:45:41Z-
dc.date.issued2009en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#GT079788507en_US
dc.identifier.urihttp://hdl.handle.net/11536/46560-
dc.description.abstractThe late 2000s financial crisis seriously damaged banking industry worldwide. Although many banks collapsed, were acquired under compulsion, or were restrained by government takeover, numerous banks survived and continued to provide financial services to customers. This paper intends to discover the resource configurations of strategic groups consisting of the banks surviving the global financial crisis and propose business strategies for them. By means of factor analysis, we extract five resource configurations from nine financial indicators as follows: customer relationship advantage, organization management ability, asset management ability, risk management ability, and liability management capacity. After that, we put cluster analysis into use to classify those banks into three strategic groups as given in the list below: default risk management reinforced cluster, profit oriented cluster, and conservative business cluster. Next, we discover that profit oriented cluster and default risk management reinforced cluster present remarkable financial performance arising from their distinguished competitive advantage.zh_TW
dc.description.abstractThe late 2000s financial crisis seriously damaged banking industry worldwide. Although many banks collapsed, were acquired under compulsion, or were restrained by government takeover, numerous banks survived and continued to provide financial services to customers. This paper intends to discover the resource configurations of strategic groups consisting of the banks surviving the global financial crisis and propose business strategies for them. By means of factor analysis, we extract five resource configurations from nine financial indicators as follows: customer relationship advantage, organization management ability, asset management ability, risk management ability, and liability management capacity. After that, we put cluster analysis into use to classify those banks into three strategic groups as given in the list below: default risk management reinforced cluster, profit oriented cluster, and conservative business cluster. Next, we discover that profit oriented cluster and default risk management reinforced cluster present remarkable financial performance arising from their distinguished competitive advantage.en_US
dc.language.isoen_USen_US
dc.subject金融危機zh_TW
dc.subject銀行業zh_TW
dc.subject資源構型zh_TW
dc.subject策略族群zh_TW
dc.subject因素分析zh_TW
dc.subject集群分析zh_TW
dc.subject競爭優勢zh_TW
dc.subjectFinancial crisisen_US
dc.subjectBanking industryen_US
dc.subjectResource configurationen_US
dc.subjectStrategic groupen_US
dc.subjectFactor analysisen_US
dc.subjectCluster analysisen_US
dc.subjectCompetitive advantageen_US
dc.title以財務指標分析銀行業的競爭優勢zh_TW
dc.titleAnalysis of Competitive Advantage of Banking Industry with Financial Indicatorsen_US
dc.typeThesisen_US
dc.contributor.department企業管理碩士學程zh_TW
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