Please use this identifier to cite or link to this item: http://inet.vidyasagar.ac.in:8080/jspui/handle/123456789/1042
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dc.contributor.authorGarg, Shallu
dc.date.accessioned2016-12-23T00:37:41Z-
dc.date.available2016-12-23T00:37:41Z-
dc.date.issued2016
dc.identifier.issn0973-5917
dc.identifier.urihttp://inet.vidyasagar.ac.in:8080/jspui/handle/123456789/1042-
dc.description36-51en_US
dc.description.abstractIn today’s world the knowledge-based economy has evolved, the method for creating firm value has transferred from traditional physical assets to intangible knowledge. The valuation of intangible assets has become a widespread topic of interest in the future of the economy. This study takes advantage of feature selection, an important data-pre processing step in data mining, to identify important and representative factors affecting intellectual efficiency of Indian banking sector. This study employed Data envelopment analysis technique to calculate the intellectual efficiency score of the bank and it is used as a dependent variable for further analysis. In stepwise regression 20 variables are considered and finally four variables explained the variations: Return on asset (ROA), Human resource intensity, capital intensity and interest income to working funds.en_US
dc.language.isoenen_US
dc.publisherVidyasagar University , Midnapore , West Bengal , Indiaen_US
dc.relation.ispartofseriesVidyasagar University Journal of Commerce;2016
dc.subjectValue added intellectual capital (VAIC)en_US
dc.subjectData envelopment analysis (DEA)en_US
dc.subjectStepwise regressionen_US
dc.subjectIntangible Efficiencyen_US
dc.titleDETERMINANTS OF INTELLECTUAL EFFICIENCY VALUE: EMPIRICAL EVIDENCE OF SELECTED INDIAN BANKSen_US
dc.typeArticleen_US
Appears in Collections:Vidyasagar University Journal of Commerce Vol.21 [2016]

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