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Advancement of performance measurement system in the humanitarian supply chain.

Authors :
Patil, Anchal
Madaan, Jitender
Chan, Felix T.S.
Charan, P.
Source :
Expert Systems with Applications. Nov2022, Vol. 206, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

• Performance measurement complexities during relief operations are key motivations. • Strategies aimed to improve the performance measurement in HSC were proposed. • Proposed strategies were modelled using the grey-DEMATEL and m-TISM approach. • The proposed framework may help managers improve performance measurement in HSC. Performance measurement activities (PMA) in the humanitarian supply chain (HSC) face several issues. Many of these issues are avoidable and inter-related, subsequently producing undesirable cascading effects. HSC Stakeholders are actively looking for means to reduce the complexities associated with PMA and improve its efficiency. In this paper, we identify and model the eleven strategies that can improve both PMA and the performance measurement system (PMS). Strategies were identified using detailed literature reviews and discussions with the experts and were modelled using the grey DEMATEL and m-TISM methodology. The results indicate that the most effective strategies are fundraising for PMA, Digital supply chain adoption, Top management support, Public awareness activities and Relief worker training. Four strategies can be grouped into the cause side and seven strategies on the effect side. The key recommendation is to rapidly adopt digital supply chain applications in the HSC. HSC stakeholders also need to pay increased attentions towards fundraising activities targeting PMS. This study advances the understanding of PMS in the context of HSC. The decision-maker can adopt the study's findings to reduce the complexities that occurred during PMA. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09574174
Volume :
206
Database :
Academic Search Index
Journal :
Expert Systems with Applications
Publication Type :
Academic Journal
Accession number :
158483333
Full Text :
https://doi.org/10.1016/j.eswa.2022.117844