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In recent years, there have been many changes in the food market, which have greatly transformed our approach to food chain supervision. The increasing complexity of the food chain (e.g. globalization of food trade, expansion of raw materials and additives, technical advancement), the frequent changes in food consumption trends and the phenomenon of food crime belong to the most challenging issues for food chain control institutions. These factors require the re-evaluation of the role of consumers in the food chain. The overall aim of this research was to explore consumers’ risk perception and risk avoidance for a more efficient, targeted risk communication. In the survey 1003, face-to-face interviews were made using questionnaire. The statistical analysis of data was followed by the identification and characterization of 4 relevant target groups with cluster analysis method: disinterested youngsters (17.0%), conscious elders (39.4%), food adepts (27.5%), and soul of the family (16.1%). Results indicated, that the Hungarian society can be segmented regarding to food associated risk perception and avoidance. It has been also proven, that risk perception is influenced by demographic factors. Furthermore, we have also managed to conclude that efficient risk communication would require a well-aimed and focused communication strategy.
QD01 Analytical chemistry / analitikai kémia, food chain safety, risk communication, communication strategy, consumer survey, risk perception, risk analysis
QD01 Analytical chemistry / analitikai kémia, food chain safety, risk communication, communication strategy, consumer survey, risk perception, risk analysis
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 8 | |
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| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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