| dc.contributor.author |
Sharma, Satyendra Kumar |
|
| dc.contributor.author |
Chadha, Saurabh |
|
| dc.date.accessioned |
2023-05-09T06:54:06Z |
|
| dc.date.available |
2023-05-09T06:54:06Z |
|
| dc.date.issued |
2021-10 |
|
| dc.identifier.uri |
https://www.emerald.com/insight/content/doi/10.1108/IJPPM-10-2019-0484/full/html |
|
| dc.identifier.uri |
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/10714 |
|
| dc.description.abstract |
This paper evaluates the working capital management (WCM) efficiency of the Indian manufacturing industries through data envelopment analysis (DEA) and empirically investigates the influence of several exogenous variables on the WCM efficiency. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
Emerald |
en_US |
| dc.subject |
Management |
en_US |
| dc.subject |
Manufacturing |
en_US |
| dc.subject |
Efficiency |
en_US |
| dc.subject |
Working capital Management |
en_US |
| dc.subject |
Data envelopment analysis |
en_US |
| dc.title |
Benchmarking the efficiency model for working capital management: data envelopment analysis approach |
en_US |
| dc.type |
Article |
en_US |