Influence of logistics information flow on resilient disaster relief operations: evidence from disaster relief practitioners in humanitarian organizations in Tanzania

Purpose This study investigated the influence of logistics information flow on resilient disaster relief operations in Tanzania. It aimed to determine how different aspects of logistics information sharing contribute to enhanced coordination and responsiveness during humanitarian interventions. Design/methodology/approach The study adopted a positivist philosophy and employed an explanatory research design, guided by coordination theory. Data were collected using questionnaires and interviews from humanitarian practitioners in Dodoma, Dar es Salaam and Kigoma. A sample of 192 was drawn from a population of 369 using Slovin's formula. Data analysis utilized SPSS version 27, combining both quantitative and qualitative approaches. A multiple linear regression model was applied to examine the significance and predictive power of logistics information flow variables (LOIF1–LOIF6). Findings Logistics information flow variables demonstrated statistically significant effects (p = 0.000), with an R-squared of 0.78 and an Adjusted R-squared of 0.76. Timely and accurate information sharing (LOIF1, β = 0.351) had the highest impact, followed by automated inventory tracking (LOIF4, β = 0.298) and structured information exchange (LOIF2, β = 0.289). Real-time control (LOIF3) and integrated databases (LOIF5) contributed positively, though with slightly lower coefficients. Research limitations/implications The geographic scope was limited to three Tanzanian regions, but can be generalized in other developing economies. Future studies should expand to more diverse contexts and explore longitudinal impacts. Practical implications Humanitarian actors should institutionalize real-time information systems and automate tracking mechanisms to improve coordination, reduce delays and enhance disaster response effectiveness. Social implications Effective logistics information flow improves the timely delivery of aid, reduces human suffering and promotes social cohesion and trust between communities and humanitarian agencies. Originality/value The study advances coordination theory by modeling logistics information flow as a strategic enabler of disaster relief resilience.