Optimal product positioning with consideration of negative utility effect on consumer choice rule

Optimal product positioning with consideration of negative utility effect on consumer choice rule
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考虑消费者选择规则负效用效应的最优产品定位

DOI:
10.1016/j.dss.2012.06.002
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发表时间:
2012-12
影响因子:
7.5
通讯作者:
YL TU
YL TU
中科院分区:
计算机科学1区
文献类型:
--
作者:
X.G. Luo;C.K. Kwong;J.F. Tang;YL TU

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在大多数与产品定位相关的研究中,概率消费者选择规则假设,无论产品的效用值有多小,甚至效用值为负,产品总能获得一定的市场份额。一些研究者在基于多维尺度的模型或剩余份额选择规则中考虑了这一问题。本文通过引入分段函数,建立了基于联合分析的产品定位一步优化模型,考虑了多项逻辑规则中的这一问题。利用区间分析方法从模型中得到新产品的最优价格,并分析了利润最大化模型的数学性质。提出了一种嵌入区间分析的禁忌搜索算法来求解该模型。给出了采用该模型和基于区间分析的枚举方法的工业应用,并进行了灵敏度分析。针对随机生成的大规模产品定位问题进行了实验,以评估所提出的TS算法的可行性。
In most studies related to product positioning, probabilistic consumer choice rules assume that a product always gains some market share no matter how small a product's utility value is or even if the utility value is negative. Some researchers have considered this problem in multidimensional-scaling-based model or share-of-surplus choice rule. In this study, we consider this problem for multinomial logit rule by introducing a piecewise function and establishing a conjoint-analysis-based one-step optimization model for product positioning. Interval analysis is applied to obtain the optimal price of the new product from the model, and the mathematical properties of the profit-maximizing model are analyzed. An interval-analysis-embedded Tabu Search (TS) algorithm is developed for solving the model. An industrial application employing the proposed model and the interval-analysis-based enumeration method is presented and sensitivity analysis is performed. An experiment for randomly created large-scale product positioning problems is carried out to evaluate the feasibility of the proposed TS algorithm.
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