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                <identifier>oai:data.mendeley.com/5mgxg3fpy9.3</identifier>
                <datestamp>2026-10-07T10:37:01Z</datestamp>
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    <dc:creator>Sorna, Umme Saima</dc:creator>
    <dc:title>Community Survey on Social Acceptance of a Digital Disaster Risk Reduction Intervention in Malaysia</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset contains survey responses from 400 residents of a high-risk urban community in Penang, Malaysia, collected to examine the determinants of social acceptance of a digital Disaster Risk Reduction (DRR) mobile application. The dataset includes measures of technological perceptions: performance expectancy, effort expectancy, social influence, and facilitating conditions as well as risk-related factors such as risk perception, perceived effectiveness of risk communication, institutional trust, and prior hazard experience. Demographic variables (e.g., age, gender, education level, and income) are also included to support subgroup analysis.The dataset is suitable for statistical modeling, including logistic regression, classification analysis, and comparative studies on technology adoption in disaster risk management. </dc:description>
    <dc:subject>Sociology</dc:subject>
    <dc:subject>Disaster Management</dc:subject>
    <dc:subject>Urban Anthropology</dc:subject>
    <dc:subject>Environmental Sociology</dc:subject>
    <dc:contributor>Rahmat, Siti Rahyla</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/5mgxg3fpy9.3</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/5mgxg3fpy9.3</dc:identifier>
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    <dc:date>2026-10-07T10:37:01Z</dc:date>
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