Orbital and sub-orbital space tourism : motivation, constraint and artificial intelligence
(2024) In Tourism Review 79(2). p.392-407- Abstract
Purpose: There is limited research on the behavior of different categories of space tourists as identified by different types of space tourism. To address this deficiency, the purpose of this study is to examine what factors make consumers participate in orbital and/or suborbital space tourism, along with three dimensions of motivation, constraint and artificial intelligence. To achieve this study’s goals, a comprehensive research model was developed that included three dimensions of intrinsic and extrinsic motivation, intrapersonal and interpersonal constraint and awareness of and trust in artificial intelligence, in comparing orbital and suborbital space tourism groups. Design/methodology/approach: A questionnaire was carried out with... (More)
Purpose: There is limited research on the behavior of different categories of space tourists as identified by different types of space tourism. To address this deficiency, the purpose of this study is to examine what factors make consumers participate in orbital and/or suborbital space tourism, along with three dimensions of motivation, constraint and artificial intelligence. To achieve this study’s goals, a comprehensive research model was developed that included three dimensions of intrinsic and extrinsic motivation, intrapersonal and interpersonal constraint and awareness of and trust in artificial intelligence, in comparing orbital and suborbital space tourism groups. Design/methodology/approach: A questionnaire was carried out with respondents who wanted to participate in orbital (n = 332) and suborbital (n = 332) space tourism in the future. Partial least squares-structural equation modeling, fuzzy-set qualitative comparative analysis, multi-group analysis and deep learning were used to understand potential space tourist behavior. Findings: Extrinsic motivation has the greatest positive impact on behavioral intention, followed by awareness of and trust in artificial intelligence, while intrapersonal constraint strongly negatively affects behavioral intention. Surprisingly, interpersonal constraint is insignificant by partial least squares-structural equation modeling but is still one of sufficient causal configurations by fuzzy-set qualitative comparative analysis. Interestingly, the two types of space tourism have very distinct characteristics. Originality/value: This study created a comprehensive integrated research model with three dimensions of motivation, constraint and artificial intelligence, along with potential orbital and suborbital space tourist groups, to identify future consumer behavior. Importantly, this study used multi-analysis methods using four different approaches to better shed light on potential orbital and suborbital space tourists.
(Less)
- author
- Kim, Myung Ja ; Hall, Colin Michael LU ; Kwon, Ohbyung ; Hwang, Kyunghwa and Kim, Jinok Susanna
- organization
- publishing date
- 2024-02
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Artificial intelligence, Constraint, Motivation, Orbital, Space tourism, Suborbital
- in
- Tourism Review
- volume
- 79
- issue
- 2
- pages
- 16 pages
- publisher
- Emerald Group Publishing Limited
- external identifiers
-
- scopus:85159656974
- ISSN
- 1660-5373
- DOI
- 10.1108/TR-01-2023-0017
- language
- English
- LU publication?
- yes
- id
- 4fe7b0cd-3dff-44af-a866-e3d9bce9b23c
- date added to LUP
- 2023-09-25 13:37:30
- date last changed
- 2024-07-17 15:55:49
@article{4fe7b0cd-3dff-44af-a866-e3d9bce9b23c,
abstract = {{<p>Purpose: There is limited research on the behavior of different categories of space tourists as identified by different types of space tourism. To address this deficiency, the purpose of this study is to examine what factors make consumers participate in orbital and/or suborbital space tourism, along with three dimensions of motivation, constraint and artificial intelligence. To achieve this study’s goals, a comprehensive research model was developed that included three dimensions of intrinsic and extrinsic motivation, intrapersonal and interpersonal constraint and awareness of and trust in artificial intelligence, in comparing orbital and suborbital space tourism groups. Design/methodology/approach: A questionnaire was carried out with respondents who wanted to participate in orbital (n = 332) and suborbital (n = 332) space tourism in the future. Partial least squares-structural equation modeling, fuzzy-set qualitative comparative analysis, multi-group analysis and deep learning were used to understand potential space tourist behavior. Findings: Extrinsic motivation has the greatest positive impact on behavioral intention, followed by awareness of and trust in artificial intelligence, while intrapersonal constraint strongly negatively affects behavioral intention. Surprisingly, interpersonal constraint is insignificant by partial least squares-structural equation modeling but is still one of sufficient causal configurations by fuzzy-set qualitative comparative analysis. Interestingly, the two types of space tourism have very distinct characteristics. Originality/value: This study created a comprehensive integrated research model with three dimensions of motivation, constraint and artificial intelligence, along with potential orbital and suborbital space tourist groups, to identify future consumer behavior. Importantly, this study used multi-analysis methods using four different approaches to better shed light on potential orbital and suborbital space tourists.</p>}},
author = {{Kim, Myung Ja and Hall, Colin Michael and Kwon, Ohbyung and Hwang, Kyunghwa and Kim, Jinok Susanna}},
issn = {{1660-5373}},
keywords = {{Artificial intelligence; Constraint; Motivation; Orbital; Space tourism; Suborbital}},
language = {{eng}},
number = {{2}},
pages = {{392--407}},
publisher = {{Emerald Group Publishing Limited}},
series = {{Tourism Review}},
title = {{Orbital and sub-orbital space tourism : motivation, constraint and artificial intelligence}},
url = {{http://dx.doi.org/10.1108/TR-01-2023-0017}},
doi = {{10.1108/TR-01-2023-0017}},
volume = {{79}},
year = {{2024}},
}