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• W2509916235 abstract "Purpose The purpose of this paper is to investigate risk dimensions affecting food risk perceptions and to develop effective risk communication strategies based on their risk perceptions dimensions. The reason for writing this paper is that applying single risk communication strategy for public often fails because food risks are systemic risks and public perceptions toward them consist of multiple dimensions. Launching an effective risk communication need to investigate the perception dimensions of the target audience. Design/methodology/approach A total of 2,673 parents of 3-14-year-old children from the rural area of Sichuan province in China were chosen as target audience. Based on the survey conducted about parents’ food risk perceptions, this study used factor-cluster analysis method to segment parents to sub-clusters with significantly different risk perception dimensions. Parents’ representative demographic characteristics within each cluster were further identified through cross-tabs analysis with χ 2 tests. Findings All the parents could be segmented into four sub-clusters, namely, sensitive parents, dependent parents, familiarity-oriented parents and institutional distrust parents, according to their risk perception difference on five dimensions. A series of risk communication strategies were specifically designed for each cluster based on their risk perception features as well as demographic characteristics. Originality/value The insight derived from this study described a deeper image of public risk perceptions and provided suggestions for risk communication launchers to pinpoint the risk perception as well as perception dimensions of the target audience and accordingly develop effective risk communication strategies." @default.
• W2509916235 created "2016-09-16" @default.
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• W2509916235 date "2016-10-03" @default.
• W2509916235 modified "2023-09-25" @default.
• W2509916235 title "Segmentation of Chinese parents based on food risk perception dimensions for risk communication in rural area of Sichuan province" @default.
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• W2509916235 doi "https://doi.org/10.1108/bfj-01-2016-0039" @default.
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