Performance evaluation and risk analysis of online banking service
Purpose - Online banking has attracted a great deal of attention from various bank stakeholders such as bankers, financial service participants, and regulators. The purpose of this paper is to analyze the online banking service performance of giant US and UK banks. Risk analysis is also conducted.De...
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| Veröffentlicht in: | Kybernetes 2010-06, Vol.39 (5), p.723-734 |
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| container_title | Kybernetes |
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| creator | Wu, Dexiang Dash Wu, Desheng |
| description | Purpose - Online banking has attracted a great deal of attention from various bank stakeholders such as bankers, financial service participants, and regulators. The purpose of this paper is to analyze the online banking service performance of giant US and UK banks. Risk analysis is also conducted.Design methodology approach - This paper connects the principal component analysis (PCA) method with the data envelopment analysis (DEA) method to estimate the online banking performance. Data are collected from 2007 annual reports of giant banks in the USA and the UK including both financial and non-financial variables.Findings - Most giant banks are performing well based on DEA analysis. Employees turn out to be a key variable that contribute most to banks' revenue. Different DEA models can be classified into cost- and online-oriented models, which is consistent with existing work based on data from other nations.Originality value - This paper presents a unique demonstration of using PCA and DEA for evaluation of giant banks with online banking service. |
| doi_str_mv | 10.1108/03684921011043215 |
| format | Article |
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Different DEA models can be classified into cost- and online-oriented models, which is consistent with existing work based on data from other nations.Originality value - This paper presents a unique demonstration of using PCA and DEA for evaluation of giant banks with online banking service.</description><subject>Banking industry</subject><subject>Banks</subject><subject>Customer services quality</subject><subject>Cybernetics</subject><subject>Design engineering</subject><subject>Electronic banking</subject><subject>Internet</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Online banking</subject><subject>Operations research</subject><subject>Performance appraisal</subject><subject>Performance evaluation</subject><subject>Regulators</subject><subject>Risk analysis</subject><subject>Studies</subject><subject>Virtual banking</subject><issn>0368-492X</issn><issn>1758-7883</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqN0E1LxDAQBuAgCq6rP8Bb8eLF6uSjTXr0W1FQUFdvIU0nErfbrsmu6L83y4oH9SAEkiHPmzBDyDaFfUpBHQAvlagYhVQJzmixQgZUFiqXSvFVMljc5wk8rZONGF8AKCsZDMjRLQbXh4npLGb4Ztq5mfm-y0zXZMHHcTqY9iP6mPUu67vWd5jVphv77jmLGN68xU2y5kwbcetrH5KHs9P744v8-ub88vjwOreCwSwvrKtcVZlGCsoscw1I6grOTYHGQt3wkoNQqua1xQYqIRnWoATl0BgnZMGHZHf57jT0r3OMMz3x0WLbmg77edSJlLJMK8mdH_Kln4fUSNSFVBS4kCIhukQ29DEGdHoa_MSED01BL2aqf800ZfJlxscZvn8HTBjrUnJZaPHIdEXvRo_3Vyd6lDwsPU4wmLb51xd7f0d-UT1tHP8ErRmTCw</recordid><startdate>20100615</startdate><enddate>20100615</enddate><creator>Wu, Dexiang</creator><creator>Dash Wu, Desheng</creator><general>Emerald Group Publishing Limited</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>7XB</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>M2O</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope></search><sort><creationdate>20100615</creationdate><title>Performance evaluation and risk analysis of online banking service</title><author>Wu, Dexiang ; Dash Wu, Desheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c420t-5cf9f99ad7412c2fd071f533a5eac0bd3630488b3bced09472eb084130daf4753</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Banking industry</topic><topic>Banks</topic><topic>Customer services quality</topic><topic>Cybernetics</topic><topic>Design engineering</topic><topic>Electronic banking</topic><topic>Internet</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Online banking</topic><topic>Operations research</topic><topic>Performance appraisal</topic><topic>Performance evaluation</topic><topic>Regulators</topic><topic>Risk analysis</topic><topic>Studies</topic><topic>Virtual banking</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wu, Dexiang</creatorcontrib><creatorcontrib>Dash Wu, Desheng</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Computing Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Kybernetes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wu, Dexiang</au><au>Dash Wu, Desheng</au><au>Dash Wu, Desheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Performance evaluation and risk analysis of online banking service</atitle><jtitle>Kybernetes</jtitle><date>2010-06-15</date><risdate>2010</risdate><volume>39</volume><issue>5</issue><spage>723</spage><epage>734</epage><pages>723-734</pages><issn>0368-492X</issn><eissn>1758-7883</eissn><coden>KBNTA3</coden><abstract>Purpose - Online banking has attracted a great deal of attention from various bank stakeholders such as bankers, financial service participants, and regulators. The purpose of this paper is to analyze the online banking service performance of giant US and UK banks. Risk analysis is also conducted.Design methodology approach - This paper connects the principal component analysis (PCA) method with the data envelopment analysis (DEA) method to estimate the online banking performance. Data are collected from 2007 annual reports of giant banks in the USA and the UK including both financial and non-financial variables.Findings - Most giant banks are performing well based on DEA analysis. Employees turn out to be a key variable that contribute most to banks' revenue. 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| language | eng |
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| source | Emerald Complete Journals |
| subjects | Banking industry Banks Customer services quality Cybernetics Design engineering Electronic banking Internet Mathematical analysis Mathematical models Online banking Operations research Performance appraisal Performance evaluation Regulators Risk analysis Studies Virtual banking |
| title | Performance evaluation and risk analysis of online banking service |
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