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Loss Aversion and Regulatory Focus Effects in the Absence of Numbers: Qualitatively Framing Equivalent Messages on Food Labels

机译:在缺乏数字的情况下的损失规避和监管焦点效应:食品标签上的定性定性等价信息

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Examining effects of qualitatively framing information as nonloss and gain is important because not all messages can be communicated quantitatively to consumers. This is especially the case with many food labels addressing farming methods. Research on loss aversion cognitive bias has shown people react more strongly to messages framed negatively (lossonloss) than equivalent information framed positively (nongain/gain). A few studies, however, have shown an opposite reaction when comparing equivalent nonloss- to gain-framed information and offered regulatory focus theory as an explanation. Most studies have relied on quantitative descriptors to frame information as gains or nonlosses, but are the cognitive biases explained by loss aversion or regulatory focus still powerful using qualitatively framed information? The purpose of this study was to compare effects of qualitatively framed gain and nonloss messages within food labels on people’s attitudes. Six-hundred-sixty subjects were assigned randomly to one of two treatment groups: nonloss- or gain-framed information about environmental impact and animal welfare on a package of chicken or a control group. Results showed no difference between the frames in the effect on subjects’ attitudes toward the product. Marketers and others crafting persuasive messages who attempt to use nonloss or gain framing of information to appeal to consumers’ cognitive biases may be compromising their efforts without using numbers or quantifiable information.
机译:从质量上将信息定性为无损和收益的影响很重要,因为并非所有消息都可以定量地传达给消费者。对于许多涉及耕作方法的食品标签而言,情况尤其如此。对损失规避认知偏见的研究表明,人们对消极构架的消息(丢失/不丢失)的反应比积极构想的对等信息(不获得/增益)的反应要强。然而,一些研究表明,在将等效的无损信息与增益框架信息进行比较时,出现了相反的反应,并提供了监管重点理论作为解释。大多数研究都依靠定量描述符将信息描述为收益或非损失,但是使用定性信息构成的通过损失规避或监管重点所解释的认知偏差是否仍然有效?这项研究的目的是比较食品标签中定性构造的增益和无损信息对人们态度的影响。六百六十名受试者被随机分配到两个治疗组之一:关于包装鸡肉或对照组的环境影响和动物福利的无损框架信息。结果显示,框架对受检者对产品态度的影响没有差异。营销人员和其他人试图利用无损信息或获取信息框架以吸引消费者的认知偏见而制造出具有说服力的消息,这可能会损害他们的努力,而无需使用数字或可量化的信息。

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