Search results

The objective of this paper is to examine the determinants of the Greek house market during the period 2006–2022 using not only economic variables but also behavioral variables, taking advantage of available information on the volume of Google searches. In order to quantify the behavioral variables, we implement a Python code using the Pytrends 4.9.2 library.

In our study, we assert that models relying solely on economic variables, such as GDP growth, mortgage interest rates and inflation, may lack precision compared to those that integrate behavioral indicators. Recognizing the importance of behavioral insights, we incorporate Google Trends data as a key behavioral indicator, aiming to enhance our understanding of market dynamics by capturing online interest in Greek real estate through searches related to house prices, sales and related topics. To quantify our behavioral indicators, we utilize a Python code leveraging Pytrends, enabling us to extract relevant queries for global and local searches. We employ the EGARCH(1,1) model on the Greek house price index, testing several macroeconomic variables alongside our Google Trends indexes to explain housing returns.

Our findings show that in some cases the relationship between economic variables, such as inflation and mortgage rates, and house prices is not always consistent with the theory because we should highlight the special conditions of the examined country. The country of our sample, Greece, presents the special case of a country with severe sovereign debt issues, which at the same time has the privilege to have a strong currency and the support and the obligations of being an EU/EMU member.

The results suggest that Google Trends can be a valuable tool for academics and practitioners in order to understand what drives house prices. However, further research should be carried out on this topic, for example, causality relationships, to gain deeper insight into the possibilities and limitations of using such tools in analyzing housing market trends.

This is the first paper, to the best of our knowledge, that examines the benefits of Google Trends in studying the Greek house market.

This study aims to examine the mediating and moderating processes that link airline brand image to passenger loyalty through perceived value.

The research participants were Taiwanese passengers with experience travelling abroad by air. Structural equation modelling and multigroup analysis were used to investigate the effect of airline brand image and perceived value on the loyalty of passengers using full-service and low-cost carriers.

For both airline types, airline brand image had a significant and positive effect on passenger perceived value. Perceived value had a significant and positive effect on passenger loyalty, perceived value was a crucial mediator and airline type was not a key moderator in the model.

In this study, focusing on the perspective of Taiwanese passengers, a conceptual model of the factors that lead to passenger loyalty, with a focus on brand image, was developed. This paper contributes to the literature and application field by examining the mediating effect of perceived value and the moderating role of airline type in the aviation industry; on the basis of the results, potential recovery strategies for airlines in the post-COVID-19 era are provided.

本研究檢驗透過知覺價值將航空公司品牌形象與乘客忠誠度連結起來的中介和調節過程。

受訪者是曾經有搭乘飛機出國旅行經驗的台灣乘客。本研究採用結構方程模式和多群組分析進行驗證, 分別從搭乘全服務型航空與低成本航空的乘客探討航空公司品牌形象和知覺價值對乘客忠誠行為的影響。

不論是就全服務型航空或低成本航空而言, 航空公司品牌形象對乘客知覺價值都具有顯著的正向影響, 知覺價值對乘客忠誠行為同樣具有顯著的正向影響; 知覺價值是一個重要的中介變數, 而航空公司類型不是關鍵的調節變數。

在這項以台灣乘客的視角為重點的研究中, 開發了一個以品牌形象為重點的導致乘客忠誠度因素的概念模型。本研究通過檢驗知覺價值的中介作用和航空公司類型在航空業中的調節作用, 為文獻和應用領域做出了貢獻; 最後根據研究結果, 提供後疫情時代航空公司的潛在恢復策略。

este estudio examinó los procesos de mediación y moderación que vinculan la imagen de marca de la aerolínea con la lealtad de los pasajeros a través del valor percibido.

los participantes de la investigación eran pasajeros taiwaneses con experiencia en viajes al extranjero por vía aérea. Se emplearon modelos de ecuaciones estructurales y análisis multigrupo para investigar el efecto de la imagen de marca de la aerolínea y el valor percibido en la lealtad de los pasajeros que utilizan líneas aéreas de servicio completo y de bajo costo.

para ambos tipos de aerolíneas, la imagen de marca de la aerolínea tuvo un efecto significativo y positivo en el valor percibido por los pasajeros. El valor percibido tuvo un efecto significativo y positivo en la lealtad de los pasajeros, el valor percibido fue un mediador crucial y el tipo de aerolínea no fue un moderador clave en el modelo.

En este estudio centrado en la perspectiva de los pasajeros taiwaneses, se desarrolló un modelo conceptual de los factores que conducen a la lealtad de los pasajeros, con un enfoque en la imagen de marca. Este documento contribuye al campo de la literatura y la aplicación al examinar el efecto mediador del valor percibido y el papel moderador del tipo de aerolínea en la industria de la aviación; Sobre la base de los resultados, se proporcionan posibles estrategias de recuperación para las aerolíneas en la era posterior a la COVID-19.