Corresponding Author

  • Dr Wilbroad Aryatwijuka

    • Mbarara University of Science and Technology (MUST)
    • Uganda

Author

  • Henry Mutebi

    • Makerere University Business School
    • Uganda

  • Ronald Twongyirwe

    • Mbarara University of Science and Technology (MUST)
    • Uganda

  • Naster Tumebembeire

    • Mbarara University of Science and Technology (MUST)
    • Uganda

  • Miriam Tugiramasiko

    • Mbarara University of Science and Technology (MUST)
    • Uganda

Abstract

This study examines the relationships among big data analytics capabilities, inter-organizational coordination capabilities and humanitarian supply chain resilience. Drawing on Dynamic Capability Theory (DCT), the study explains how humanitarian organizations leverage data analytics and inter-organizational coordination to strengthen supply chain resilience in uncertain and disruption-prone environments. A quantitative cross-sectional survey was conducted among 88 humanitarian organizations operating in Uganda. Data were analyzed using partial least squares structural equation modeling (PLS-SEM) in SmartPLS to assess the hypothesized direct relationships and the mediating effect of IOCC. The findings reveal that BDAC has a significant positive effect on both IOCC and HSCR. IOCC also significantly enhances HSCR. Furthermore, IOCC partially mediates the relationship between BDAC and HSCR, indicating that the resilience benefits of big data analytics arise both directly and indirectly through strengthened inter-organizational coordination. The cross-sectional design limits the ability to capture how analytics capabilities, coordination mechanisms, and resilience evolve. Future research could employ longitudinal and qualitative designs to examine the dynamic processes through which humanitarian organizations develop and deploy these capabilities across different stages of disruptions. Humanitarian organizations should complement investments in big data analytics and digital infrastructure with mechanisms that strengthen information sharing, joint planning, resource coordination, and collaborative decision-making among supply chain partners. Integrating analytics with strong coordination capabilities can improve preparedness, responsiveness, and recovery from humanitarian supply chain disruptions. This study extends the application of DCT to humanitarian supply chains by demonstrating that IOCC constitutes an important mechanism through which BDAC translates into HSCR

Keywords

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How to Cite

Aryatwijuka, W., Mutebi, H., Twongyirwe, R., Tumebembeire, N., & Tugiramasiko, M. (2026). Linking Big Data Analytics Capabilities to Humanitarian Supply Chain Resilience: The Mediating Mechanism of Inter-Organizational Coordination. Journal of Economics and Behavioral Studies, 18(3(J), 1-18. https://doi.org/10.22610/jebs.v18i3(J).4975

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Copyright (c) 2026 Dr Wilbroad Aryatwijuka (Corresponding Author); Henry Mutebi, Ronald Twongyirwe, Naster Tumebembeire, Miriam Tugiramasiko (Author)

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Research Paper

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Vol. 18 No. 3(J) (2026) Title unavailable View issue contents

Published

2026-10-29

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