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The Coordination‐Information Bubble in Humanitarian Response: Theoretical Foundations and Empirical Investigations

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  • Tina Comes
  • Bartel Van de Walle
  • Luk Van Wassenhove

Abstract

Humanitarian disasters are highly dynamic and uncertain. The shifting situation, volatility of information, and the emergence of decision processes and coordination structures require humanitarian organizations to continuously adapt their operations. In this study, we aim to make headway in understanding adaptive decision‐making in a dynamic interplay between changing situation, volatile information, and emerging coordination structures. Starting from theories of sensemaking, coordination, and decision‐making, we present two case studies that represent the response to two different humanitarian disasters: Typhoon Haiyan in the Philippines, and the Syria Crisis, one of the most prominent ongoing conflicts. For both, we highlight how volatile information and the urge to respond via sensemaking lead to fragmentation and misalignment of emergent coordination structures and decisions, which, in turn, slow down adaptation. Based on the case studies, we derive propositions and the need to continuously align laterally between different regions and hierarchically between operational and strategic levels to avoid persistence of coordination‐information bubbles. We discuss the implications of our findings for the development of methods and theory to ensure that humanitarian operations management captures the critical role of information as a driver of emergent coordination and adaptive decisions.

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  • Tina Comes & Bartel Van de Walle & Luk Van Wassenhove, 2020. "The Coordination‐Information Bubble in Humanitarian Response: Theoretical Foundations and Empirical Investigations," Production and Operations Management, Production and Operations Management Society, vol. 29(11), pages 2484-2507, November.
  • Handle: RePEc:bla:popmgt:v:29:y:2020:i:11:p:2484-2507
    DOI: 10.1111/poms.13236
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    2. Zhang, Guowei & Jia, Ning & Zhu, Ning & He, Long & Adulyasak, Yossiri, 2023. "Humanitarian transportation network design via two-stage distributionally robust optimization," Transportation Research Part B: Methodological, Elsevier, vol. 176(C).
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    4. Timperio, Giuseppe & Kundu, Tanmoy & Klumpp, Matthias & de Souza, Robert & Loh, Xiu Hui & Goh, Kelvin, 2022. "Beneficiary-centric decision support framework for enhanced resource coordination in humanitarian logistics: A case study from ASEAN," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
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    6. Rodríguez-Espíndola, Oscar & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Albores, Pavel & Emrouznejad, Ali, 2022. "Analysis of the adoption of emergent technologies for risk management in the era of digital manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    7. Klöckner, Maximilian & Schmidt, Christoph G. & Wagner, Stephan M. & Swink, Morgan, 2023. "Firms’ responses to the COVID-19 pandemic," Journal of Business Research, Elsevier, vol. 158(C).

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