Space tourism flow generated from social media data
The data is for empirical studies derived from a related research article about space tourism [1], which is a conceptual article with a different aim of economic measurement scale. Most space tourism research is conceptual because data from the nascent industry is limited [2]. Thus this data is cons...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-06-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340923001798 |
| _version_ | 1797798072445566976 |
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| author | Kang-Lin Peng Xianglin Chan Chih-Hung Wu |
| author_facet | Kang-Lin Peng Xianglin Chan Chih-Hung Wu |
| author_sort | Kang-Lin Peng |
| collection | DOAJ |
| description | The data is for empirical studies derived from a related research article about space tourism [1], which is a conceptual article with a different aim of economic measurement scale. Most space tourism research is conceptual because data from the nascent industry is limited [2]. Thus this data is constrictive for conducting empirical studies to contribute to quantitative analysis in space tourism [3]. Data from this study were collected by recruiting 361 respondents through snowball and convenient sampling targeted to samples interested in space tourism; 339 responses were adopted after the valid screening of missing data or data bias [4]. Targeted groups of potential space tourism customers were investigated to collect data through a designed questionnaire on the platform, Wenjuanxing, with a majority population database providing functions equivalent to Amazon Mechanical Turk [2]. The reliability and validity of all constructs showed that the questionnaire was proper for measurement [3]. Data analysis applied the structural equation model with Mplus to examine the CFA model and research hypothesis. Structural equation modeling was used to conduct the hypotheses test and model fitness through the statistical tool Mplus. Results imply that the data is suitable for conducting replication studies. To enlighten space tourism emergence studies, this data shows its importance for further research models [5]. |
| first_indexed | 2024-03-13T03:57:57Z |
| format | Article |
| id | doaj.art-648f9c7e99794fbd9bca8f2cb5c85c50 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-03-13T03:57:57Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-648f9c7e99794fbd9bca8f2cb5c85c502023-06-22T05:03:26ZengElsevierData in Brief2352-34092023-06-0148109061Space tourism flow generated from social media dataKang-Lin Peng0Xianglin Chan1Chih-Hung Wu2Faculty of International Tourism and Management, City University of Macau. Avenida Padre Tomás Pereira Taipa, Macau SAR, China; Corresponding author.Faculty of International Tourism and Management, City University of Macau. Avenida Padre Tomás Pereira Taipa, Macau SAR, ChinaDepartment of Digital Content and Technology, National Taichung University of Education, TaiwanThe data is for empirical studies derived from a related research article about space tourism [1], which is a conceptual article with a different aim of economic measurement scale. Most space tourism research is conceptual because data from the nascent industry is limited [2]. Thus this data is constrictive for conducting empirical studies to contribute to quantitative analysis in space tourism [3]. Data from this study were collected by recruiting 361 respondents through snowball and convenient sampling targeted to samples interested in space tourism; 339 responses were adopted after the valid screening of missing data or data bias [4]. Targeted groups of potential space tourism customers were investigated to collect data through a designed questionnaire on the platform, Wenjuanxing, with a majority population database providing functions equivalent to Amazon Mechanical Turk [2]. The reliability and validity of all constructs showed that the questionnaire was proper for measurement [3]. Data analysis applied the structural equation model with Mplus to examine the CFA model and research hypothesis. Structural equation modeling was used to conduct the hypotheses test and model fitness through the statistical tool Mplus. Results imply that the data is suitable for conducting replication studies. To enlighten space tourism emergence studies, this data shows its importance for further research models [5].http://www.sciencedirect.com/science/article/pii/S2352340923001798Space tourismBehavioral intentionFlowSocial mediaAttitude |
| spellingShingle | Kang-Lin Peng Xianglin Chan Chih-Hung Wu Space tourism flow generated from social media data Data in Brief Space tourism Behavioral intention Flow Social media Attitude |
| title | Space tourism flow generated from social media data |
| title_full | Space tourism flow generated from social media data |
| title_fullStr | Space tourism flow generated from social media data |
| title_full_unstemmed | Space tourism flow generated from social media data |
| title_short | Space tourism flow generated from social media data |
| title_sort | space tourism flow generated from social media data |
| topic | Space tourism Behavioral intention Flow Social media Attitude |
| url | http://www.sciencedirect.com/science/article/pii/S2352340923001798 |
| work_keys_str_mv | AT kanglinpeng spacetourismflowgeneratedfromsocialmediadata AT xianglinchan spacetourismflowgeneratedfromsocialmediadata AT chihhungwu spacetourismflowgeneratedfromsocialmediadata |