Trustworthy artificial intelligence in the sharing economy-a systematic review and meta-analysis
Presentation
Paper/Presentation Title | Trustworthy artificial intelligence in the sharing economy-a systematic review and meta-analysis |
---|---|
Presentation Type | Presentation |
Authors | Chen, Ying (Author), Prentice, Catherine (Author), Weaven, Scott (Author) and Hsiao, Aaron (Author) |
Journal or Proceedings Title | Proceedings of the 32nd Annual Council for Australasian University Tourism and Hospitality Education Conference (CAUTHE 2022) |
ERA Conference ID | 50223 |
Number of Pages | 3 |
Year | 2022 |
Place of Publication | Brisbane, Australia |
ISBN | 9780994514172 |
Digital Object Identifier (DOI) | https://doi.org/10.3316/informit.413702193282132 |
Web Address (URL) of Paper | https://search.informit.org/doi/abs/10.3316/informit.413702193282132 |
Conference/Event | 32nd Annual Council for Australasian Tourism and Hospitality Education Conference (CAUTHE 2022) |
Annual Council for Australasian Tourism and Hospitality Education (CAUTHE) Conference | |
Event Details | 32nd Annual Council for Australasian Tourism and Hospitality Education Conference (CAUTHE 2022) Parent Annual Council for Australasian Tourism and Hospitality Education (CAUTHE) Conference Delivery In person Event Date 07 to end of 09 Feb 2022 Event Location Brisbane, Australia |
Event Details | Annual Council for Australasian Tourism and Hospitality Education (CAUTHE) Conference Annual CAUTHE Conference |
Abstract | The sharing economy was greatly impacted by Covid-19. To survive and develop, it is important to identify factors that encourage customers to participate in the sharing economy. Trust is considered an antecedent factor in the sharing economy. Whereas artificial intelligence is a game changer in both car sharing and accommodation sharing. However, the empirical results are inconclusive on whether trust on the artificial intelligence can provide reasonable prediction of sharing behavior. This paper is aimed to evaluate the relationship between trust and artificial intelligence in the sharing economy, and identify whether trust on AI will drive to sharing behavior. 18 papers were selected from EBSHost, Proquest and google scholar after a systematic review. Then meta-analysis was conducted based on the selected papers. The preliminary results suggest that trust on artificial intelligence has positive effect in the sharing economy. This study both has theoretical implications and practical implications. It contributes to AI and the sharing economy literature by adding trust as an antecedent factor. It also enlightens practitioners to develop strategies related to trust and artificial intelligence. |
Keywords | sharing economy; artificial intelligence; car sharing; accommodation sharing |
ANZSRC Field of Research 2020 | 350799. Strategy, management and organisational behaviour not elsewhere classified |
350699. Marketing not elsewhere classified | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Griffith University |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q7811/trustworthy-artificial-intelligence-in-the-sharing-economy-a-systematic-review-and-meta-analysis
100
total views4
total downloads0
views this month0
downloads this month