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From the periphery and toward a centralized model for trust in government risk and disaster communication

Bibliographic Data

ID12596994
AuthorsBrooke Fisher Liu (0000-0003-1985-8050, Queensland University of Technology), Amisha M Mehta (QUT Business School, Queensland University of Technology), Amisha Mehta (0000-0001-8947-4138, Queensland University of Technology, corresponding author)
Year2020
Volume24
Issue7
Pages853-869
Publication date2020-06-05
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Risk Research (JOURNAL)
Journal identifiersISSN: 1366-9877 • E-ISSN: 1466-4461
PublisherRoutledge (PUBLISHER • GB)
DOI10.1080/13669877.2020.1773516
OpenAlexW3033890847
LanguageEN
Citations received36
References cited68

In the context of disaster research, trust is ubiquitous. Despite its reach across multiple research domains, the devil is in the lack of a comprehensive understanding of how trust is defined, measured, and applied in the context of government risk and disaster communication. This article presents a systematic literature review of trust research undertaken in the context of government as opposed to corporate, risk, and disaster communication. Findings show that trust is rarely defined, but those articles that do define it draw on multiple definitions, which has implications for the operationalization of trust in communication research and practice. Another source of variance is around the theoretical or conceptual frameworks for trust. Research mostly treats trust at the periphery, assuming its existence rather than exploring how it operates in government risk and disaster communication settings. In terms of its application, the majority of empirical work around trust is focused on the response phase of disasters. Following from this review, this study offers a research road map for trust and argues for a centralized view of trust in government risk and disaster communication

Business · Conceptual framework · Context (archaeology · Empirical research · Epistemology · Geography · Government (linguistics · Knowledge management · Operationalization · Political science · Public relations · Risk analysis (engineering · Risk communication · Social science · Sociology · Variance (accounting · Computer Science · Disaster Management and Resilience · Public Relations and Crisis Communication · Risk Perception and Management

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Unique citing works36
Citations per year6
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 36
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