IDEAS home Printed from https://ideas.repec.org/a/eee/ininma/v52y2020ics0268401219311041.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0268401219311041
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijinfomgt.2020.102068?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. Behera, Rajat Kumar & Bala, Pradip Kumar & Rana, Nripendra P., 2024. "Assessing the intention to adopt computational intelligence in interactive marketing," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    5. 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.
    6. 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.
    7. 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.
    8. 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).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ininma:v:52:y:2020:i:c:s0268401219311041. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/international-journal-of-information-management .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.