Exploring sustainability balanced scorecard for performance evaluation of humanitarian organizations
Performance measures are vital in assessing the disaster relief operations and mitigate the losses that occur during disaster. It is imperative to benchmark and monitor the growth of humanitarian organizations (HOs). The purpose of this research is to explore the performance measures for HOs based o...
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Veröffentlicht in: | Cleaner Logistics and Supply Chain 2022-03, Vol.3, p.100026, Article 100026 |
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Sprache: | eng |
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Zusammenfassung: | Performance measures are vital in assessing the disaster relief operations and mitigate the losses that occur during disaster. It is imperative to benchmark and monitor the growth of humanitarian organizations (HOs). The purpose of this research is to explore the performance measures for HOs based on a sustainability balanced scorecard (SBSC). This study identifies and finalizes 31 performance measures through literature and brainstorming session conducted with the experts. Finalized performance measures are classified into five humanitarian supply chain management (HSCM) performance perspectives using SBSC. The best worst method (BWM) is applied to prioritize the performance measures, and the additive ratio assessment (ARAS) is applied to evaluate the performance of HOs. The outcome of this research reveals that “beneficiaries’ and donors’ perspectives” is the most significant HSCM performance perspectives. The findings help to identify the relative importance of each performance measure for performance evaluation of HOs. The proposed framework can help HOs on the aspects of performance improvement relevant to both donors and beneficiaries group that facilitates stakeholders in the benchmarking and network design of HOs. This study explores the SBSC in HSCM to analyze the performance measures and evaluate the performance of HOs that enable an integrated performance measurement system. HOs monitored their logistics performance effectively, which further lead to process improvement for betterment. |
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ISSN: | 2772-3909 2772-3909 |
DOI: | 10.1016/j.clscn.2021.100026 |