| dc.contributor.author |
Sharma, Satyendra Kumar |
|
| dc.date.accessioned |
2023-05-09T09:54:53Z |
|
| dc.date.available |
2023-05-09T09:54:53Z |
|
| dc.date.issued |
2018-10 |
|
| dc.identifier.uri |
https://www.emerald.com/insight/content/doi/10.1108/BIJ-07-2017-0188/full/html |
|
| dc.identifier.uri |
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/10726 |
|
| dc.description.abstract |
The purpose of this paper is to study the supply chain resilience of Indian truckload transportation industry, in the event of potential disasters that affect the normalcy of their services. This study helped to identify factors affecting the two important dimensions of resilience, namely, resistive capacity and restorative capacity. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
Emerald |
en_US |
| dc.subject |
Management |
en_US |
| dc.subject |
Logistics |
en_US |
| dc.subject |
Critical success factors |
en_US |
| dc.subject |
Resilience |
en_US |
| dc.subject |
Bayesian |
en_US |
| dc.title |
Modelling resilience of truckload transportation industry |
en_US |
| dc.type |
Article |
en_US |