Space tourism : Value-attitude-behavior theory, artificial intelligence, and sustainability
(2024) In Journal of Retailing and Consumer Services 77.- Abstract
Despite concerns over its sustainability, space tourism is an emerging luxury consumer service which is promoted to participants as providing a new connection to Earth and humanity. However, little research examines the potential connectivity between sustainability and space tourism, especially given the strong technological dimensions of space tourism. The purpose of this study is to explore an extended value-attitude-behavior theory with AI awareness and social and personal norms to examine space tourism's alignment with the UN's 17 Sustainable Development Goals. Through 664 potential space tourism consumers and applying PLS-SEM, multi-group analysis, fsQCA, and deep learning methods, findings revealed the significant influence of... (More)
Despite concerns over its sustainability, space tourism is an emerging luxury consumer service which is promoted to participants as providing a new connection to Earth and humanity. However, little research examines the potential connectivity between sustainability and space tourism, especially given the strong technological dimensions of space tourism. The purpose of this study is to explore an extended value-attitude-behavior theory with AI awareness and social and personal norms to examine space tourism's alignment with the UN's 17 Sustainable Development Goals. Through 664 potential space tourism consumers and applying PLS-SEM, multi-group analysis, fsQCA, and deep learning methods, findings revealed the significant influence of value and AI awareness on attitude and social and personal norms leading to sustainable behaviors. Findings provide insights into space tourism's sustainability, emphasizing environmental considerations and AI awareness in shaping luxury travel consumer services.
(Less)
- author
- Kim, Myung Ja ; Hall, C. Michael LU ; Kwon, Ohbyung and Sohn, Kwonsang
- organization
- publishing date
- 2024-03
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Artificial intelligence, Deep learning, fsQCA, Space tourism, Sustainable development goals, VAB model
- in
- Journal of Retailing and Consumer Services
- volume
- 77
- article number
- 103654
- publisher
- Elsevier
- external identifiers
-
- scopus:85179426132
- ISSN
- 0969-6989
- DOI
- 10.1016/j.jretconser.2023.103654
- language
- English
- LU publication?
- yes
- id
- f1efcc65-a842-44bf-bc67-839689c2792c
- date added to LUP
- 2024-01-31 13:53:44
- date last changed
- 2024-01-31 13:56:12
@article{f1efcc65-a842-44bf-bc67-839689c2792c, abstract = {{<p>Despite concerns over its sustainability, space tourism is an emerging luxury consumer service which is promoted to participants as providing a new connection to Earth and humanity. However, little research examines the potential connectivity between sustainability and space tourism, especially given the strong technological dimensions of space tourism. The purpose of this study is to explore an extended value-attitude-behavior theory with AI awareness and social and personal norms to examine space tourism's alignment with the UN's 17 Sustainable Development Goals. Through 664 potential space tourism consumers and applying PLS-SEM, multi-group analysis, fsQCA, and deep learning methods, findings revealed the significant influence of value and AI awareness on attitude and social and personal norms leading to sustainable behaviors. Findings provide insights into space tourism's sustainability, emphasizing environmental considerations and AI awareness in shaping luxury travel consumer services.</p>}}, author = {{Kim, Myung Ja and Hall, C. Michael and Kwon, Ohbyung and Sohn, Kwonsang}}, issn = {{0969-6989}}, keywords = {{Artificial intelligence; Deep learning; fsQCA; Space tourism; Sustainable development goals; VAB model}}, language = {{eng}}, publisher = {{Elsevier}}, series = {{Journal of Retailing and Consumer Services}}, title = {{Space tourism : Value-attitude-behavior theory, artificial intelligence, and sustainability}}, url = {{http://dx.doi.org/10.1016/j.jretconser.2023.103654}}, doi = {{10.1016/j.jretconser.2023.103654}}, volume = {{77}}, year = {{2024}}, }