dc.contributor.author |
Rai, Pratik. |
|
dc.contributor.author |
Bera, Sasadhar. |
|
dc.contributor.author |
Ray, Pritee. |
|
dc.date.accessioned |
2022-10-18T06:45:39Z |
|
dc.date.available |
2022-10-18T06:45:39Z |
|
dc.date.issued |
2022-08-16 |
|
dc.identifier.citation |
Rai, P., Bera, S. & Ray. P. (2022). Assessing technological impact on vaccine supply chain performance. Industrial Management & Data Systems, 122(8), 1938-1955. https://doi.org/10.1108/IMDS-08-2021-0488 |
en_US |
dc.identifier.issn |
0263-5577 |
|
dc.identifier.uri |
https://doi.org/10.1108/IMDS-08-2021-0488 |
|
dc.identifier.uri |
http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/1441 |
|
dc.description.abstract |
Purpose
The study aims to develop an integrated quantitative approach and suggest a framework to assess the impact of a technological intervention on the internal process dimension of the vaccine supply chain (VSC) system for multiple administered regions.
Design/methodology/approach
An evaluation index system is developed by selecting suitable performance indicators (PIs) that define the objectives of a VSC. Then multicriteria decision-making (MCDM) methods are applied to obtain pre and post-intervention relative ranks for the regions and performance scores of the objectives. A bilateral data envelopment analysis (DEA) compares significant efficiency differences between improvement and deterioration groups.
Findings
This study demonstrates that technological intervention improves the internal process dimension of a VSC for the regions under consideration. The empirical study delivers two groups of regions showing improvement or deterioration in relative performance ranking due to the technological intervention. However, the efficiency-based bilateral comparison may reveal an insignificant difference between the two groups.
Practical implications
Decision-makers associated with VSC will find the suggested model helpful in assessing the impact of technological intervention. They can easily identify specific objectives of VSC's internal process dimension, whether a particular region has observed an improvement or deterioration in its relative performance and maximize the outcome by focusing on the areas of concern for a specific region.
Originality/value
This study is the first to provide a quantitative approach that empirically determines relative performance improvement or deterioration of different regions for a set of identified VSC objectives in the context of the Indian states. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Industrial Management & Data Systems |
en_US |
dc.subject |
Vaccine supply chain |
en_US |
dc.subject |
Impact assessment |
en_US |
dc.subject |
Technological intervention |
en_US |
dc.subject |
Performance measurement |
en_US |
dc.subject |
MCDM |
en_US |
dc.subject |
DEA |
en_US |
dc.subject |
IIM Ranchi |
en_US |
dc.title |
Assessing technological impact on vaccine supply chain performance |
en_US |
dc.type |
Article |
en_US |
dc.volume |
122 |
en_US |
dc.issue |
8 |
en_US |