Connecting the dots: uncovering the relationships between challenges confronting Africa's organ transplant supply chain systems

SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL(2023)

引用 1|浏览11
暂无评分
摘要
PurposeThis study aims to develop a hierarchical model that uncovers the relationships between challenges confronting Africa's organ transplant supply chain systems. Design/methodology/approachEleven challenges (variables) were identified after a comprehensive review of the existing literature. The contextual interactions among these variables were analysed from the perspectives of health-care stakeholders in two sub-Saharan Africa (SSA) countries (Nigeria and Uganda), using Delphi-interpretive structural modelling-cross-impact matrix multiplication applied to classification (MICMAC) techniques. FindingsThe findings reveal that weak regulatory frameworks, insufficient information systems and a lack of necessary skills make it challenging for critical actors to perform the tasks effectively. The interaction effects of these challenges weaken organ supply chains and make it less efficient, giving rise to negative externalities such as black markets for donated organs and organ tourism/trafficking. Research limitations/implicationsThis paper establishes a solid foundation for a critical topic that could significantly impact human health and life once the government or non-profit ecosystem matures. The MICMAC analysis in this paper provides a methodological approach for future studies wishing to further develop the organ supply chain structural models. Practical implicationsThe study provides valuable insights for experts and policymakers on where to prioritise efforts in designing interventions to strengthen organ transplantation supply chains in developing countries. Originality/valueThis study is one of the first to empirically examine the challenges of organ transplant supply chains from an SSA perspective, including theoretically grounded explanations from data collected in two developing countries.
更多
查看译文
关键词
supply chain,africa
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要