| dc.contributor.author |
Chadha, Saurabh |
|
| dc.contributor.author |
Sharma, Satyendra Kumar |
|
| dc.date.accessioned |
2023-05-12T05:56:08Z |
|
| dc.date.available |
2023-05-12T05:56:08Z |
|
| dc.date.issued |
2021-04 |
|
| dc.identifier.uri |
https://www.emerald.com/insight/content/doi/10.1108/BIJ-05-2020-0251/full/html |
|
| dc.identifier.uri |
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/10796 |
|
| dc.description.abstract |
This 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.iso |
en |
en_US |
| dc.publisher |
Emerald |
en_US |
| dc.subject |
Management |
en_US |
| dc.subject |
Data envelopment analysis |
en_US |
| dc.subject |
Structural Equational Modeling |
en_US |
| dc.subject |
Working capital Management |
en_US |
| dc.subject |
Efficiency |
en_US |
| dc.subject |
Performance |
en_US |
| dc.title |
Exploring predictors of working capital management efficiency and their influence on firm performance: an integrated DEA-SEM approach |
en_US |
| dc.type |
Article |
en_US |