Influence of sociodemographic factors on the use of self‑service technologies at the smart airport: a logistic regression analysis.
Keywords:
Smart Airports, tourism, technology, passenger, sociodemographic factorsAbstract
The smart airport, as part of the smart city, is a fundamental component of tourism. The aim of this study is to analyze the influence of sociodemographic factors on passengers’ decisions to use self-service technologies in different airport processes. A quantitative design was employed, based on a binary logistic regression model applied to a sample of 400 passengers. When analyzing the variables age, gender, education, occupation, flight frequency and purpose of travel, the results show that all factors except gender influence the decision to obtain a boarding pass, while only age influences baggage check-in. Gender and age affect the decision to obtain baggage tags, and gender and flight frequency influence the desire to use biometric passports. These findings imply that the implementation of self-service technologies in airports should be planned through segmented strategies.
Downloads
Published
Issue
Section
License
Las obras que se publican en esta revista están sujetas a los siguientes términos:
La editorial (EUTM) conserva los derechos patrimoniales de las obras publicadas y favorece y permite la reutilización de las mismas siempre que su copia, uso, difusión, transmisión y exposición pública, se ajuste a los siguientes criterios:
1. Se cite la autoría y la fuente original de su publicación (revista, editorial y URL de la obra);
2. Sus contenidos no se utilicen para fines comerciales;
3. Consten los derechos de la editora y los autores de los originales.
