{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T21:44:54Z","timestamp":1781732694219,"version":"3.54.5"},"reference-count":147,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2023,2,2]],"date-time":"2023-02-02T00:00:00Z","timestamp":1675296000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["INTR"],"published-print":{"date-parts":[[2024,3,19]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>The deployment of artificial intelligence (AI) technologies in travel and tourism has received much attention in the wake of the pandemic. While societal adoption of AI has accelerated, it also raises some trust challenges. Literature on trust in AI is scant, especially regarding the vulnerabilities faced by different stakeholders to inform policy and practice. This work proposes a framework to understand the use of AI technologies from the perspectives of institutional and the self to understand the formation of trust in the mandated use of AI-based technologies in travelers.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>An empirical investigation using partial least squares-structural equation modeling was employed on responses from 209 users. This paper considered factors related to the self (perceptions of self-threat, privacy empowerment, trust propensity) and institution (regulatory protection, corporate privacy responsibility) to understand the formation of trust in AI use for travelers.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>Results showed that self-threat, trust propensity and regulatory protection influence trust in users on AI use. Privacy empowerment and corporate responsibility do not.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>Insights from the past studies on AI in travel and tourism are limited. This study advances current literature on affordance and reactance theories to provide a better understanding of what makes travelers trust the mandated use of AI technologies. This work also demonstrates the paradoxical effects of self and institution on technologies and their relationship to trust. For practice, this study offers insights for enhancing adoption via developing trust.<\/jats:p><\/jats:sec>","DOI":"10.1108\/intr-07-2021-0446","type":"journal-article","created":{"date-parts":[[2023,2,2]],"date-time":"2023-02-02T09:49:53Z","timestamp":1675331393000},"page":"343-370","source":"Crossref","is-referenced-by-count":85,"title":["The role of institutional and self in the formation of trust in artificial intelligence technologies"],"prefix":"10.1108","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1961-8452","authenticated-orcid":false,"given":"Lai-Wan","family":"Wong","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2974-2270","authenticated-orcid":false,"given":"Garry Wei-Han","family":"Tan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3384-1207","authenticated-orcid":false,"given":"Keng-Boon","family":"Ooi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5547-9990","authenticated-orcid":false,"given":"Yogesh","family":"Dwivedi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"140","published-online":{"date-parts":[[2023,2,2]]},"reference":[{"issue":"1","key":"key2024031721512985700_ref001","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/0960085X.2020.1721947","article-title":"Artificial intelligence as digital agency","volume":"29","year":"2020","journal-title":"European Journal of Information Systems"},{"issue":"13-14","key":"key2024031721512985700_ref002","doi-asserted-by":"crossref","first-page":"891","DOI":"10.1080\/02642069.2020.1790535","article-title":"COVID-19 restrictions and consumers' psychological reactance toward offline shopping freedom restoration","volume":"40","year":"2020","journal-title":"The Service Industries Journal"},{"key":"key2024031721512985700_ref003","article-title":"Customer experiences in the age of artificial intelligence","volume":"114","year":"2021","journal-title":"Computers in Human Behavior"},{"key":"key2024031721512985700_ref004","article-title":"Digital contact tracing apps help slow COVID-19. 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