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The Mode Heuristic in Service Consumers' Interpretations of Online Rating Distributions

机译:服务消费者对在线评级分布的解释的模式启发式

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In this article, the authors demonstrate a tendency among consumers to use the arithmetic mode as a heuristic basis when drawing inferences from graphical displays of online rating distributions in such a way that service evaluations inferred from rating distributions systematically vary by the location of the mode. The rationale underlying this phenomenon is that the mode (i.e., the most frequent rating which is represented by the tallest bar in a graphical display) attracts consumers’ attention because of its visual salience and is thus disproportionately weighted when they draw conclusions. Across a series of eight studies, the authors provide strong empirical evidence for the existence of the mode heuristic, shed light on this phenomenon at the process level, and demonstrate how consumers’ inferences based on the mode heuristic depend on the visual salience of the mode. Together, the findings of these studies contribute to a better understanding of how service customers process and interpret graphical illustrations of online rating distributions and provide companies with a new key figure that—aside from rating volume, average ratings, and rating dispersion—should be incorporated in the monitoring, analyzing, and evaluating of review data.
机译:在本文中,当在从在线评级分布的图形显示推断下,消费者在从网络评估分布的图形显示推动时,消费者将算术模式用作启发式基础的趋势。这种现象的基本原理是该模式(即,图形显示中最高栏中的最常见的额定值)吸引了消费者的注意力,因为它的视觉显着性,因此在得出结论时不成比例地加权。作者跨越一系列八项研究,提出了在过程级别的这种现象存在于这种现象的强大的经验证据,并证明了消费者的推论是如何基于模式启发式的推论取决于模式的视觉显着性。这些研究的结果在一起有助于更好地了解服务客户如何处理和解释在线评级分布的图形插图,并提供具有新关键数字的公司 - 除了评级体积,平均评分和评级分散 - 应该是应合并的在监测,分析和评估审查数据中。

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