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Methodological framework for the investigation on the rapidly growing air travel market - An application of multivariate statistical analysis

机译：快速增长的航空旅行市场调查的方法框架-多元统计分析的应用

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摘要

The paper develops an integrated multivariate statistical model which can be used as a methodological framework for investigation the factors affecting the airline choice in rapidly growing air travel markets such as those in the Central (CE) and South-East Europe (SEE) countries. The methodological framework consisting of three multivariate statistical techniques (Principal Component Analysis, Canonical Correlation Analysis and Discriminant Analysis) are applied to data (766 passengers) collected at Belgrade Airport on the routes where there is competition between a full-service and a low-cost carrier to investigate the determinants affecting airline choice. The results reveal that passenger perceptions are significantly different across airline type and usage frequencies. Although a number of managerial implications stem from the applications of the methods, the results reveal the major finding that western concept of value added and purchasing decision making concept tend to be a "complete mystery" for CE and SEE passengers due to its historical legacy.
机译：本文开发了一个综合的多元统计模型，该模型可作为一种方法框架，用于调查影响快速增长的航空旅行市场（例如中部（CE）和东南欧（SEE）国家）的航空公司选择的因素。由三种多元统计技术（主成分分析，典范相关分析和判别分析）组成的方法框架应用于在贝尔格莱德机场收集的航线上，提供全方位服务和廉价航班之间存在竞争的数据（766名乘客）承运人调查影响航空公司选择的决定因素。结果表明，在航空公司类型和使用频率上，乘客的感受差异很大。尽管这些方法的应用产生了许多管理上的意义，但结果揭示了一个主要发现，即西方的增值和购买决策概念由于其历史悠久，往往对CE和SEE旅客来说是一个“完全的谜”。遗产。

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