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Customer Satisfaction in the Airline Industry: the Case of British Airways

机译:航空业的客户满意度:以英国航空为例

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In this paper two different non-classic methods, based on the analysis of qualitative data, are applied to evaluate customer satisfaction. The airline industry is considered with British Airways used as a case study. First, a classification algorithm based on the decision tree theory is performed. By conserving the original ordinal measuring scale for the items, it is possible to rank the dimensions in order to obtain a map of preference, select the groups of subjects more or less satisfied and delineate the peculiar characteristics of each group. Second, a probabilistic model, the Rasch model, is applied with the aim of distinguishing the two components (satisfaction and quality) that influenced the answer to each item and obtaining a numerical interval measure for both components.
机译:本文基于定性数据的分析,采用两种不同的非经典方法来评估客户满意度。以英国航空为案例研究来考虑航空业。首先,执行基于决策树理论的分类算法。通过保存项目的原始顺序测量比例,可以对维度进行排名,以获得偏好图,选择或多或少满意的对象组,并描绘每个组的特殊特征。其次,应用概率模型Rasch模型,以区分影响每个项目答案的两个因素(满意度和质量),并获得这两个因素的数值区间测度。

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