An Empirical Investigation into the Correlation between Tourist Motivations and Purchase Intentions: A Mixed-Methods Approach in the Russian Context

This research investigates the correlation between tourism motivation and purchase intention among Russian consumers. The study aims to contribute to the existing body of knowledge by examining the interrelationship between these variables within the context of the Russian tourism market. In study, a survey was conducted, and open-ended responses were collected from individuals living in Moscow. The collected data was analyzed using normality, validity, and reliability analyses, and the quantitative data was processed using software packages. Regression, ANOVA, and t-test methods were utilized to test the hypotheses. The qualitative data was analyzed using content analysis. The results of the quantitative analysis demonstrated a significant correlation between tourism participation motivation and purchase intention in Russia. The qualitative findings aimed to identify factors that increase or decrease tourism motivation. The factors that increased motivation were organized into nine distinct themes, which included individuals' desire to explore new destinations. The factors that decreased motivation were grouped into five themes across two dimensions. The desire to explore new destinations was the most frequently mentioned factor for increasing motivation, while the coronavirus was cited among the factors that decrease motivation.

Authors

Institutions

Publication Details

Journal
Journal of Tourism Intelligence and Smartness
Published
2024-12-12
DOI
https://doi.org/10.58636/jtis.1561457
Primary Topic
Diverse Aspects of Tourism Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Empirical Investigation into the Correlation between Tourist Motivations and Purchase Intentions: A Mixed-Methods Approach in the Russian Context

Cihan YILMAZ, Gülnur Karakaş Tandoğan
Journal of Tourism Intelligence and Smartness
Diverse Aspects of Tourism Research
article

An Empirical Investigation into the Correlation between Tourist Motivations and Purchase Intentions: A Mixed-Methods Approach in the Russian Context

Cihan YILMAZ, Gülnur Karakaş Tandoğan
article en

Abstract

This research investigates the correlation between tourism motivation and purchase intention among Russian consumers. The study aims to contribute to the existing body of knowledge by examining the interrelationship between these variables within the context of the Russian tourism market. In study, a survey was conducted, and open-ended responses were collected from individuals living in Moscow. The collected data was analyzed using normality, validity, and reliability analyses, and the quantitative data was processed using software packages. Regression, ANOVA, and t-test methods were utilized to test the hypotheses. The qualitative data was analyzed using content analysis. The results of the quantitative analysis demonstrated a significant correlation between tourism participation motivation and purchase intention in Russia. The qualitative findings aimed to identify factors that increase or decrease tourism motivation. The factors that increased motivation were organized into nine distinct themes, which included individuals' desire to explore new destinations. The factors that decreased motivation were grouped into five themes across two dimensions. The desire to explore new destinations was the most frequently mentioned factor for increasing motivation, while the coronavirus was cited among the factors that decrease motivation.

Journal of Tourism Intelligence and SmartnessVol. 7(2)
Doğuş University (TR), Adnan Menderes University (TR)
Decent work and economic growth
Openalex Percentile: Top 63%
Diverse Aspects of Tourism Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.