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Title: | The importance of personally relevant knowledge for pandemic risk prevention behavior: A multimethod analysis and two-country validation |
Authors: | Golden, L Manika, D Brockett, P |
Keywords: | asymmetric measurement;disease prevention behavior;information acquisition;information theory;prior knowledge;relevance theory |
Issue Date: | 22-Dec-2021 |
Publisher: | Routledge (Taylor & Francis Group) |
Citation: | Golden, L., Manika, D. and Brockett, P. (2021) 'The importance of personally relevant knowledge for pandemic risk prevention behavior: A multimethod analysis and two-country validation', Health Marketing Quarterly, 38 (4), pp. 223 - 237. doi: 10.1080/07359683.2021.1989746. |
Abstract: | Copyright © 2021 The Author(s). Pandemics threaten world stability; however, spread is mitigated with prevention behaviors. We introduce “personally relevant knowledge” to explain the knowledge–behavior gap (i.e., objective and subjective knowledge on information acquisition and behavioral change). Hypotheses are derived from prior knowledge literature, economic psychology, and relevance theory. Multimethod analysis (survey data, partial least squares structural equation path modeling [PLS-SEM], and an asymmetric information theoretic statistical analysis) is applied to H1N1 data from the USA and Australia. Personally relevant knowledge is an important addition to prior knowledge conceptualizations, and information theory uncovers asymmetric variable relationships concerning the knowledge–behavior gap, not captured by PLS-SEM. |
URI: | https://bura.brunel.ac.uk/handle/2438/23842 |
DOI: | https://doi.org/10.1080/07359683.2021.1989746 |
ISSN: | 0735-9683 |
Appears in Collections: | Brunel Business School Research Papers |
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FullText.pdf | Copyright © 2021 The Author(s). Published with license by Taylor & Francis Group, LLC. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | 1.75 MB | Adobe PDF | View/Open |
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