肯尼亚人道主义组织的人道主义后勤和应急工作。

Chrisantos Kimori Osumo, Jane Queen Omwenga
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引用次数: 0

摘要

灾害是不可预测和不可避免的,因此必须制定适当的救灾计划。人道主义物流在 2004 年亚洲海啸之后得到了重视,在预防危机方面发挥了重要作用。尽管救灾链管理存在薄弱环节,但问题依然存在。人道主义物流对救灾工作产生了巨大影响,研究揭示了各种挑战,包括缺乏足够的供应链管理软件和设施落后。尽管其重要性不言而喻,但很少有研究探讨灾害援助对人道主义组织的影响,尤其是在肯尼亚。本研究试图通过评估人道主义物流对肯尼亚内罗毕应急响应的影响来弥补这一不足。人道主义团体、政策制定者和非政府组织从研究中获益匪浅,为加强救灾行动的战略规划和政策制定提供了依据。资源依赖理论(RDT)提出,组织的生存和发展依赖于外部资源。该理论强调了结成战略联盟以确保资源的重要性。在人道主义环境中,物流对于采购和分配资源以成功开展应急响应至关重要。研究方法采用了横截面描述性设计,以调查肯尼亚人道主义组织中人道主义后勤管理技术与应急响应之间的关联。研究人员使用半结构式问卷从 64 家内罗毕公司获取数据。数据分析需要使用描述性和推论性统计技术,如回归分析和相关分析。研究发现,物流管理实践与应急响应之间存在明显的正相关关系(β = 0.732,p < 0.001),表明改善物流会带来更好的响应结果。研究建议优先考虑后勤发展和资源分配,以提高应急能力。
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Humanitarian Logistics and Emergency Response in Humanitarian Organizations in Kenya.
Disasters were unpredictable and unavoidable, necessitating adequate disaster response plans. Humanitarian logistics, which gained prominence after the 2004 Asian tsunami, played an important part in crisis prevention. Despite weak links in relief chain management, issues remained. Humanitarian logistics had a huge impact on disaster relief efforts, as studies revealed a variety of challenges, including a lack of sufficient SCM software and poor facilities. Despite its importance, few studies have explored the impact of disaster assistance on humanitarian organizations, particularly in Kenya. The study sought to address this gap by evaluating the impact of humanitarian logistics on emergency response in Nairobi, Kenya. Humanitarian groups, policymakers, and NGOs profited from the research, which informed strategic planning and policy creation to strengthen disaster response operations. The Resource Dependency Theory (RDT) proposed that organizations rely on external resources for survival and growth. It underlined the importance of forming strategic alliances to secure resources. In humanitarian settings, logistics were critical in procuring and allocating resources for successful emergency response. The research methodology used a cross-sectional descriptive design to investigate the association between humanitarian logistics management techniques and emergency response in Kenyan humanitarian organizations. Semi-structured questionnaires were used to obtain data from 64 Nairobi-based firms. Data analysis required the use of both descriptive and inferential statistical techniques, such as regression and correlation analysis. The study found a significant positive association (β = 0.732, p < 0.001) between logistics management practices and emergency response, indicating that improving logistics leads to better response outcomes. The study recommended prioritizing logistical development and resource allocation to improve emergency response capabilities.
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