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Logistic Regression Applied to Airport Customer Satisfaction Using Hierarchical Quality Model

机译:使用分层质量模型将Logistic回归应用于机场客户满意度

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This study was conducted to evaluate the customer satisfaction as passengers at Augusto Severo International Airport in Parnamirim - RN in order to identify the dimensions which most contribute to the result of assessing the overall passenger satisfaction. It was made a literature review to serve as basis for the research from the model by Brady and Cronin so as to measure the level of satisfaction with the quality of services provided based on their temporal and spatial coverage and related to air transport system, which is the same used as the reference model. Results have shown that the determinant dimensions are significant for the explanation of the overall satisfaction, based on the application of logistic regression. The formulated statistical model was revealed to be well adjusted and able to explain the behavior of passenger satisfaction. The main problems identified were: attitude of staff, concept of facilities and waiting time, in addition to limitations and suggestions for improvements which were approached.
机译:进行这项研究是为了评估RN在Parnamirim-RN的Augusto Severo国际机场对乘客的满意度,以便确定对评估总体乘客满意度最有帮助的维度。对其进行了文献综述,以作为Brady和Cronin基于该模型进行研究的基础,以便基于其时空覆盖范围以及与航空运输系统相关的方法来衡量对所提供服务质量的满意度。与参考模型相同。结果表明,基于逻辑回归的应用,行列式维度对于整体满意度的解释具有重要意义。据透露,制定的统计模型可以很好地调整,并能够解释旅客满意度的行为。确定的主要问题是:工作人员的态度,设施的概念和等待时间,此外还有局限性和改进建议。

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