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An analytical framework for monitoring and optimizing bank branch network efficiency / E.H. Smith

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dc.contributor.author Smith, Eugene Herbie
dc.date.accessioned 2012-01-05T05:56:47Z
dc.date.available 2012-01-05T05:56:47Z
dc.date.issued 2009
dc.identifier.uri http://hdl.handle.net/10394/5029
dc.description Thesis (M.Com. (Computer Science))--North-West University, Potchefstroom Campus, 2010.
dc.description.abstract Financial institutions make use of a variety of delivery channels for servicing their customers. The primary channel utilised as a means of acquiring new customers and increasing market share is through the retail branch network. The 1990s saw the Internet explosion and with it a threat to branches. The relatively low cost associated with virtual delivery channels made it inevitable for financial institutions to direct their focus towards such new and more cost efficient technologies. By the beginning of the 21st century -and with increasing limitations identified in alternative virtual delivery channels, the financial industry returned to a more balanced view which may be seen as the revival of branch networks. The main purpose of this study is to provide a roadmap for financial institutions in managing their branch network. A three step methodology, representative of data mining and management science techniques, will be used to explain relative branch efficiency. The methodology consists of clustering analysis (CA), data envelopment analysis (DEA) and decision tree induction (DTI). CA is applied to data internal to the financial institution for increasing' the discriminatory power of DEA. DEA is used to calculate the relevant operating efficiencies of branches deemed homogeneous during CA. Finally, DTI is used to interpret the DEA results and additional data describing the market environment the branch operates in, as well as inquiring into the nature of the relative efficiency of the branch.
dc.language.iso en en_US
dc.publisher North-West University
dc.subject Financial industry en_US
dc.subject Data mining en_US
dc.subject Management science techniques en_US
dc.subject Clustering analysis en_US
dc.subject Data envelopment analysis en_US
dc.subject Decision tree induction en_US
dc.subject Homogeneity en_US
dc.subject Positivistic research en_US
dc.subject Quantitative analysis en_US
dc.subject Interpretative research en_US
dc.subject Qualitative analysis en_US
dc.title An analytical framework for monitoring and optimizing bank branch network efficiency / E.H. Smith en_US
dc.type Thesis en_US
dc.description.thesistype Masters en_US


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    This collection contains the original digitized versions of research conducted at the North-West University (Potchefstroom Campus)

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