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DC Field | Value | Language |
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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 |
Appears in Collections: | Journal Articles |
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