消费者满意、参与与产品绩效的关系:一个突变理论的应用

Terence A Oliva, Richard L. Oliver, William O. Bearden
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引用次数: 112

摘要

试图建立消费者满意/不满意(CS/D)反应的模型依赖于关于各种原因(例如,属性性能,期望终止)对消费者对产品或服务的反应的影响的线性假设。这一假设在CS/D文献中普遍存在,尽管在贸易中观察到消费者对产品的偏好或“不偏好”︁具有粘性。我们提出并实现了一个模型,该模型放宽了线性假设,并允许产品参与中CS/D响应的性能增量的滞后和阈值效应。我们的方法使用尖点突变模型,该模型已被证明在许多情况下是稳健的,但在营销文献中只有有限的使用。我们将灾难模型应用于消费者使用食欲抑制剂的数据,并表明,在该产品的高参与条件下,消费者不会在一系列报告的性能(例如,减肥)上改变偏好。突变模型也被证明优于相同数据的线性(即OLS)模型。
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The relationships among consumer satisfaction, involvement, and product performance: A catastrophe theory application

Attempts to model consumer satisfaction/dissatisfaction (CS/D) responses rely on linear assumptions regarding the effect of various causes (e.g., attribute performance, expectancy discontinuation) on the consumer's reaction to a product or service. This assumption has been pervasive in the CS/D literature despite observations in the trade that consumers are sticky in their preferences or „dispreferences”︁ for products. We present and operationalize a model which relaxes the linearity assumption and allows for lagged and threshold effects of performance increments on CS/D responses in product involvement. Our approach uses the cusp catastrophe model, which has been shown to be robust in a number of contexts, but has had only limited use in the marketing literature. We apply a catastrophe model to data on consumers' use of an appetite suppressant and show that, under high involvement conditions for this product, consumers do not shift preferences over a range of reported performance (e.g., weight loss). The catastrophe model is also shown to be superior to a linear (i.e., OLS) model of the same data.

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