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Social media and disaster management: Case of the north and south Kivu regions in the Democratic Republic of the Congo

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  • Kavota, Jérémie Katembo
  • Kamdjoug, Jean Robert Kala
  • Wamba, Samuel Fosso

Abstract

North and South Kivu provinces in the Eastern part of the Democratic Republic of the Congo (DRC) are still confronted by both natural and manmade disasters and are potentially exposed to carbon dioxide and methane from Lake Kivu. For people living in those areas, it is important to have constant access to real-time situational information to prevent fatal dangers. Our study aims at examining the adoption factors of social media and the impact of their use in managing disaster. We proposed and empirically validated a research model drawn on three combined theories: TAM, the diffusion-of-innovation theory and the Kahn’s framework of psychological conditions and agility. The obtained model was tested with a sample of 418 respondents using the Partial Least Squares Structural Equation Modelling method (PLS-SEM). The study revealed the following two main outputs: (i) social media platforms are perceived to be easy to use, useful with a perceived relative advantage, and are therefore essential for disaster management; and (ii) the use of social media impacts information accessibility, adaptability, proactiveness and resilience.

Suggested Citation

  • Kavota, Jérémie Katembo & Kamdjoug, Jean Robert Kala & Wamba, Samuel Fosso, 2020. "Social media and disaster management: Case of the north and south Kivu regions in the Democratic Republic of the Congo," International Journal of Information Management, Elsevier, vol. 52(C).
    • Handle: RePEc:eee:ininma:v:52:y:2020:i:c:s0268401219311041
    DOI: 10.1016/j.ijinfomgt.2020.102068
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    Citations

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    Cited by:

    1. Muhammad Ashraf Fauzi, 2023. "Social media in disaster management: review of the literature and future trends through bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(2), pages 953-975, September.
    2. Shivam Gupta & Sachin Modgil & Ajay Kumar & Uthayasankar Sivarajah & Zahir Irani, 2022. "Artificial intelligence and cloud-based Collaborative Platforms for Managing Disaster, extreme weather and emergency operations," Post-Print hal-04325638, HAL.
    3. Gupta, Shivam & Modgil, Sachin & Kumar, Ajay & Sivarajah, Uthayasankar & Irani, Zahir, 2022. "Artificial intelligence and cloud-based Collaborative Platforms for Managing Disaster, extreme weather and emergency operations," International Journal of Production Economics, Elsevier, vol. 254(C).
    4. Amel Pintol & Nereida Hadziahmetovic, 2023. "The Mediating Role of Brand Trust in Social Media Marketing Activities and Brand Equity Relationship: Case of Bottled Water Brands in the Market of Bosnia and Herzegovina," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 9(1), pages 5-20.
    5. Carine Dominguez-Péry & Rana Tassabehji & Lakshmi Narasimha Raju Vuddaraju & Vikhram Kofi Duffour, 2021. "Improving emergency response operations in maritime accidents using social media with big data analytics: a case study of the MV Wakashio disaster," Post-Print hal-04021179, HAL.
    6. Dingde Xu & Linmei Zhuang & Xin Deng & Cheng Qing & Zhuolin Yong, 2020. "Media Exposure, Disaster Experience, and Risk Perception of Rural Households in Earthquake-Stricken Areas: Evidence from Rural China," IJERPH, MDPI, vol. 17(9), pages 1-20, May.
    7. Hu, Qian & Pan, Zhao, 2023. "Can AI benefit individual resilience? The mediation roles of AI routinization and infusion," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).

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