Space tourism flow generated from social media data

Area of Science:

• Space Tourism
• Empirical Research
• Quantitative Analysis

Background:

• Most space tourism research is conceptual due to limited industry data.
• Existing research often lacks quantitative analysis capabilities.
• This study addresses the data gap in the nascent space tourism sector.

Purpose of the Study:

• To provide empirical data for quantitative analysis in space tourism.
• To enable replication studies in the field of space tourism.
• To support the development of future research models for space tourism emergence.

Main Methods:

• Collected data from 361 respondents interested in space tourism via snowball and convenient sampling.
• Utilized a designed questionnaire on the Wenjuanxing platform for data collection.
• Applied structural equation modeling (SEM) with Mplus for data analysis, including Confirmatory Factor Analysis (CFA).

Main Results:

• Validated questionnaire reliability and construct validity for accurate measurement.
• Confirmed data suitability for empirical and replication studies in space tourism.
• Demonstrated the importance of the dataset for advancing space tourism emergence research.

Conclusions:

• The dataset is robust and suitable for quantitative research in space tourism.
• This empirical data is crucial for overcoming the limitations of conceptual studies.
• The findings highlight the dataset's significance for future space tourism research models.