产品相关信息的作用以及影响匈牙利消费者购买健康食品态度的因素

IF 0.9 Q4 AGRICULTURAL ECONOMICS & POLICY Studies in Agricultural Economics Pub Date : 2018-04-01 DOI:10.7896/J.1716
Gabriella Soós, P. Biacs
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引用次数: 1

摘要

这项研究的目的是确定影响匈牙利消费者购买功能性食品(也称为对健康有积极生理影响的食品)态度的因素。我们的工作还侧重于消费者在做出此类选择时当前可获得的信息量,以及识别消费者集群。特别注意可用信息对各自购买决策的影响程度,使用哪些渠道获取此类信息,以及购物者认为哪些信息可靠或不可靠。根据焦点小组研究的结果,我们进行了一项基于问卷的调查(n=502)。为了减少数量多且难以解释的态度变量,进行了因素分析,然后根据消费者态度指标通过聚类分析形成消费者细分市场。这些细分市场被称为关注健康的消费者、信息有限的消费者、怀疑论者和关注价格的消费者,并根据社会人口、行为和态度变量进行表征。然后,我们试图确定最适合特定细分市场的信息来源,并探讨功能性食品市场中信息传递的效率。
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The role of product-related information and factors impacting consumer attitudes during health-conscious food purchase in Hungary
The aim of this study is to identify factors impacting consumer attitudes towards the purchase of functional foods, also known as foods with a positive physiological impact on health, in Hungary. Our work also focuses on the volume of information currently available to consumers when making such a choice, and on identifying consumer clusters. Particular attention is paid to the extent to which the available information can impact the respective purchase decision, which channels are used in obtaining such information, and which information is considered reliable or unreliable by shoppers. Based on the results of focus group research, we conducted a questionnaire-based survey (n=502). To reduce the high number and hard-to-interpret attitude variables, a factor analysis was performed, followed by the formation of consumer segments via cluster analysis according to the consumer attitude indicators. These segments were termed Health-conscious consumers, Consumers with limited information, The sceptics and The price conscious, and were characterised according to socio-demographic, behavioural and attitude variables. Then, we sought to identify the sources of information that would best address a given segment, and explored the efficiency of information transfer in the functional food market.
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来源期刊
Studies in Agricultural Economics
Studies in Agricultural Economics AGRICULTURAL ECONOMICS & POLICY-
CiteScore
1.70
自引率
8.30%
发文量
11
审稿时长
13 weeks
期刊最新文献
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