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A new pricing strategy evaluation model

机译:一种新的定价策略评估模型

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Academics and practitioners agree that better pricing strategies are important drivers of return on investment (ROI), yet this premise has not been fully tested. We develop a new pricing adherence fraction (PAF) and then investigate whether it is related to changes in return on investment for a firm's products. We test this PAF-ROI performance relationship using ten pricing strategies defined and quantified by Noble and Gruca (1999) using logit modelling and regression analyses. Survey results of 385 durable capital goods manufacturers in business-to-business (B2B) markets provide the data for this research. A statistically significant PAF-ROI relationship is found between using the best pricing strategy for a given pricing situation and an increased return on an investment. Confidence interval analysis reveals that pricing mistakes can cost firms up to a 10% decrease in ROI. The PAF methods and procedures for a particular pricing situation allow a current pricing strategy to be compared systematically to the best pricing strategy among ten possible pricing strategies.
机译:学者和从业者认为,更好的定价战略是投资回报率的重要驱动因素(ROI),但该前提尚未得到全面测试。我们开发了一个新的定价粘附分数(PAF),然后调查它是否与公司产品投资回报的变化有关。我们使用Logit建模和回归分析使用Logit和Gruca(1999)定义和量化的10个定价策略来测试此PAF-ROI性能关系。 485名耐用资本商品制造商的调查结果在商业到企业(B2B)市场提供了本研究的数据。在使用给定定价情况的最佳定价策略与投资回报率增加的最佳定价策略之间存在统计学上显着的PAF-ROI关系。置信区间分析表明,定价错误可以花费高达10%的投资回报率下降10%。特定定价情况的PAF方法和程序允许系统地将目前的定价策略系统地与十种可能的定价策略系统的最佳定价策略进行了比较。

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