Influence of Logistics Information Flow on Resilient Disaster Relief Operations: Evidence from Disaster Relief Practitioners in Humanitarian Organizations in Tanzania

Abstract

This research investigated the influence of logistics information flow on resilient disaster relief operations. The study employed positivism philosophy and utilized explanatory research design and guided by coordination theory. The study conducted in the regions of Dodoma, Dar es salaam and Kigoma in Tanzania, collecting data from humanitarian practitioners using questionnaire and interviews. The sample size is 192 from a population of 369, calculated using Slovin’s formula. Data analysis was done using SPSS 27, involving both quantitative and qualitative methods, multiple linear regression model was used. The study found that logistics information flow has positive influence of resilient disaster relief operations. The results indicate that the logistics information flow variables (LOIF1–LOIF6) all exhibit statistically significant coefficients (p = 0.000), with the R-squared (0.78) and Adjusted R-squared (0.76). Timely and accurate information sharing- LOIF1 (β = 0.351, p = 0.000) has the strongest impact, followed by automated inventory tracking systems - LOIF4 (β = 0.298, p = 0.000) and transparent and structured information exchange between stakeholders - LOIF2 (β = 0.289, p = 0.000). The relatively lower coefficients of real-time inventory control - LOIF3 (β = 0.231, p = 0.000) and maintaining an integrated database of suppliers and HOs - LOIF5 (β = 0.244, T = 4.36, p = 0.000) indicate that while all factors contribute to resilience, their impact varies in magnitude. This study makes critical theoretical contributions by advancing the application of coordination theory within humanitarian logistics, particularly emphasizing the role of logistics information flow. This study significantly expands the empirical knowledge base on humanitarian logistics by demonstrating that logistics information flow is a determinant of resilient disaster relief operations. The findings of this study offer actionable policy implications that can significantly enhance Tanzania’s disaster response systems. This study offers practical insights for humanitarian organizations aiming to strengthen disaster relief operations through improved logistics information flow. Building on Coordination Theory, future research should delve deeper into modeling information as a strategic resource—not merely a supportive function—in achieving resilience.