A multi-dimensional model of anticipating intention to use social media for disaster risk reduction

Zobeidi, T., Komendantova, N. ORCID: https://orcid.org/0000-0003-2568-6179, Yazdanpanah, M., & Lamm, A. (2024). A multi-dimensional model of anticipating intention to use social media for disaster risk reduction. International Journal of Disaster Risk Reduction 104 e104356. 10.1016/j.ijdrr.2024.104356.

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Project: A Gathering place to cO-design and co-cReate Adaptation (AGORA, HE 101093921)

Abstract

In this study, a multi-dimensional model was designed based on the technology adoption model (TAM), the digital infrastructural characteristics of social media, and source credibility (SC), with the aim of predicting the intention to use social media when a disaster strikes. This is the first study in which utilitarian values—perceived usefulness (PU) and perceived ease of use (PEOU)—have been considered along with hedonic values (enjoyment) as predictors of attitude and intention to use social media to reduce the impacts of a disaster. The sample design strategically divides European countries into six regions, each with a country chosen randomly through cluster sampling. The questionnaires were subsequently distributed through popular social networking platforms, utilizing convenience sampling. The results of structural equation modeling using SmartPLS software revealed three infrastructural features of social media—perceived adaptability, reflexivity, and perceived interconnectedness— impact perceived social media usefulness. Source credibility predicted both PU and PEOU. The results indicated the intention to use social media for three purposes-acquiring public information, confirming journalistic reporting, and sharing information related to disasters was not influenced by hedonistic values. The findings suggested that to increase the use of social media in relation to disaster risk reduction, robust social media infrastructural characteristics should be considered aligning with the anticipated disaster conditions.

Item Type: Article
Research Programs: Advancing Systems Analysis (ASA)
Advancing Systems Analysis (ASA) > Cooperation and Transformative Governance (CAT)
Young Scientists Summer Program (YSSP)
Depositing User: Luke Kirwan
Date Deposited: 06 Mar 2024 08:39
Last Modified: 28 Oct 2024 15:09
URI: https://pure.iiasa.ac.at/19540

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