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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/10796
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dc.contributor.authorChadha, Saurabh-
dc.contributor.authorSharma, Satyendra Kumar-
dc.date.accessioned2023-05-12T05:56:08Z-
dc.date.available2023-05-12T05:56:08Z-
dc.date.issued2021-04-
dc.identifier.urihttps://www.emerald.com/insight/content/doi/10.1108/BIJ-05-2020-0251/full/html-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/10796-
dc.description.abstractThis study develops an integrated approach combining data envelopment analysis (DEA) and structural equation modeling (SEM) for estimating the working capital management (WCM) efficiency and evaluating the effects of diverse exogenous variables on the WCM efficiency and firms' performance.en_US
dc.language.isoenen_US
dc.publisherEmeralden_US
dc.subjectManagementen_US
dc.subjectData envelopment analysisen_US
dc.subjectStructural Equational Modelingen_US
dc.subjectWorking capital Managementen_US
dc.subjectEfficiencyen_US
dc.subjectPerformanceen_US
dc.titleExploring predictors of working capital management efficiency and their influence on firm performance: an integrated DEA-SEM approachen_US
dc.typeArticleen_US
Appears in Collections:Department of Management

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