Survey dataset on sustainability capabilities and humanitarian supply chain resilience across four African countries

Survey dataset on sustainability capabilities and humanitarian supply chain resilience across four African countries Description This dataset supports a study of the configurational pathways through which sustainability capabilities relate to humanitarian supply chain resilience (HSCR) in humanitarian organisations. It contains responses from 373 humanitarian organisations operating across four African countries (Nigeria, Ethiopia, Mozambique, and the Democratic Republic of the Congo), collected through a structured questionnaire. The instrument measures four constructs on a seven point Likert scale (1 = strongly disagree to 7 = strongly agree). Three antecedent conditions capture sustainability capability: social capability (SSC, six items), economic capability (ESC, six items), and environmental sustainability capability (ENSC, six items). The outcome, humanitarian supply chain resilience (HSCR), is measured as a second order construct comprising three dimensions, each with four items: preparedness (P1–P4), adaptive response (R1–R4), and recovery (RC1–RC4). The dataset therefore contains 34 item level variables plus a country identifier. The data were analysed using confirmatory factor analysis, necessary condition analysis (NCA), and fuzzy set qualitative comparative analysis (fsQCA). The file is suitable for replicating the measurement model, the necessity analysis, and the configurational (truth table, sufficiency, and holdout) analyses reported in the associated manuscript.跨四个非洲国家的可持续发展能力与人道主义供应链韧性调研数据集 数据集说明 本数据集支撑一项针对人道主义组织中，可持续发展能力与人道主义供应链韧性（humanitarian supply chain resilience, HSCR）之间关联的构型路径研究。数据集包含来自尼日利亚、埃塞俄比亚、莫桑比克及刚果民主共和国四个非洲国家的373家人道主义组织的调研反馈，数据通过结构化问卷采集获取。 调研工具采用七点李克特量表（1=完全不同意，7=完全同意）对四类构念进行测量。其中三项前置条件用于表征可持续发展能力：社会能力（social capability, SSC，共6个题项）、经济能力（economic capability, ESC，共6个题项）与环境可持续发展能力（environmental sustainability capability, ENSC，共6个题项）。因变量人道主义供应链韧性（HSCR）被设定为二阶构念，涵盖三个维度，每个维度各含4个题项：准备度（P1–P4）、适应性响应（R1–R4）与恢复能力（RC1–RC4）。本数据集共包含34个题项级变量与1个国家识别变量。 研究团队采用验证性因子分析（confirmatory factor analysis）、必要条件分析（necessary condition analysis, NCA）以及模糊集定性比较分析（fuzzy set qualitative comparative analysis, fsQCA）对数据开展分析。该数据集可用于复现关联学术论文中报告的测量模型、必要性分析以及构型分析（包括真值表、充分性分析与保留样本分析）。