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首页> 外文期刊>Journal of Cleaner Production >Consumer preferences for organic labels in Germany using the example of apples - Combining choice-based conjoint analysis and eye-tracking measurements
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Consumer preferences for organic labels in Germany using the example of apples - Combining choice-based conjoint analysis and eye-tracking measurements

机译:以苹果为例,德国消费者对有机标签的偏爱-结合基于选择的联合分析和眼动追踪测量

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摘要

Organic food products are considered as credence goods. Hence, organic labels are important visual stimuli for consumers to determine how a good was produced. Therefore, this study aims to contribute to the literature by examining the visual attention patterns and preferences of consumers in a choice experiment by measuring their eye movements using eye-tracking technology and comparing the results with the findings from choice-based conjoint analysis (CBCA) and other stated preference methods. For" this reason, 73 consumers participated in an experiment in 2017 in Germany. The combination of eye tracking and CBCA can help to overcome some major limitations of choice experiments. For example, low levels of a attributes part-worth utility can be caused by the participants low preference regarding that attribute or that he/she just haven't viewed the attribute. Our findings indicate that consumers who gain greater utilities from specific attributes of a good also attend to them visually to a greater extent. The study's results also suggest that a combination of stated preference methods with eye-tracking technology has the potential of solving some major limitations of these methods such as social desirability, memory limitations and lack of visual attention to specific product characteristics. (C) 2018 Elsevier Ltd. All rights reserved.
机译:有机食品被视为信誉商品。因此,有机标签是消费者确定商品生产方式的重要视觉刺激。因此,本研究旨在通过使用眼动追踪技术测量消费者的眼球运动并将选择的结果与基于选择的联合分析(CBCA)的结果进行比较,来研究选择实验中消费者的视觉注意模式和偏好,从而为文献做出贡献。以及其他规定的偏好方法。出于这个原因,2017年有73位消费者参加了德国的一项实验。眼动追踪和CBCA的结合可以帮助克服选择实验的一些主要局限性。例如,部分价值的实用性较低的原因可能是参与者对该属性的偏爱程度低,或者他/她没有查看过该属性;我们的研究结果表明,从商品的特定属性中获得更多效用的消费者在视觉上也更多地关注了他们。 (C)2018 Elsevier Ltd.保留所有权声明的偏爱方法与眼动追踪技术的结合可能解决这些方法的一些主要限制,例如社交需求,记忆力限制以及对特定产品特征缺乏视觉关注。 。

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