Afghanistan: UNHCR urges investment in Afghan displacement situation for a decade of hope not despair

Countries: Afghanistan, Iran (Islamic Republic of), Pakistan
Source: UN High Commissioner for Refugees

UNHCR warns that inaction could lead to further population flows, continued suffering and instability, and a deepening regional socio-economic crisis in the wake of the COVID-19 pandemic.

Academic article on transparency in humanitarian logistics

Muhammad Khan is an HLA member and Research Scholar at the Department of International economics and business, Yeungnam University, South Korea and is working on his research thesis.

Together with colleagues Hee Yong Lee and Jung Han Bae, Mr Khan has published a lengthy article on the study.

Considering the importance of HL in reducing the impacts of disasters through fair distribution, this study aims to address the following question: “How can the performance, efficiency and effectiveness of HL be improved through transparency?” The primary data were collected through an online structured questionnaire from the employees participating in relief operations in Pakistan.

The study tested the items’ reliability, discriminate validity, goodness of fit, and psychometrical soundness of the hypothesized model. The study results indicate that the relationship between predictor variables (disclosure, clarity, accuracy, corporate governance, decision making and accountability) and the response variable (effective HL) is mediated by public trust.

Furthermore, the study suggests that public trust plays an imperative role in enhancing the performance, efficiency and effectiveness of HL. In addition, first, the study findings are expected to be beneficial for all stakeholders of disaster risk management, especially for governments, donors and humanitarian organizations (HOs), because they are persistently seeking strategies to assist victims.

Second, most importantly, this study raises awareness of the need to carefully evaluate decisions related to the fair distribution of relief items. Third, the structure of this article reveals research gaps and promising areas for further research. This article provides a deeper understanding of transparency in HL using empirical data, which has not been explored before.