{"id":5208,"date":"2026-11-09T11:58:21","date_gmt":"2026-11-09T11:58:21","guid":{"rendered":"https:\/\/microsites.bournemouth.ac.uk\/tourism\/?p=5208"},"modified":"2026-11-09T11:58:21","modified_gmt":"2026-11-09T11:58:21","slug":"cutting-edge-research-aydin-b-buhalis-d-2027-the-impact-of-ai-on-tourist-decision-making-within-the-smart-tourism-ecosystem-personalization-towards-satisfaction-tourism-managemen","status":"publish","type":"post","link":"https:\/\/microsites.bournemouth.ac.uk\/tourism\/2026\/11\/09\/cutting-edge-research-aydin-b-buhalis-d-2027-the-impact-of-ai-on-tourist-decision-making-within-the-smart-tourism-ecosystem-personalization-towards-satisfaction-tourism-managemen\/","title":{"rendered":"\u00a0Cutting edge research\u00a0 Aydin, B., Buhalis, D., 2027, The impact of AI on tourist decision-making within the smart tourism ecosystem: Personalization towards satisfaction, Tourism Management, Vol. 119, 105563, https:\/\/doi.org\/10.1016\/j.tourman.2026.105563\u00a0"},"content":{"rendered":"

Cutting edge research<\/p>\n

Aydin, B., Buhalis, D., 2027, The impact of AI on tourist decision-making within the smart tourism ecosystem: Personalization towards satisfaction, Tourism Management, Vol. 119, 105563, https:\/\/doi.org\/10.1016\/j.tourman.2026.105563<\/a><\/p>\n

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Abstract<\/h2>\n
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Tourism experiences are shaped within digitally and algorithmically structured environments. Artificial intelligence (AI) actively mediates tourist interactions and decision-making processes. This study draws upon a critical narrative review of research on tourist decision-making, satisfaction, and AI. It conceptualizes AI-driven tourism personalization as a cognitive-emotional appraisal mechanism through which tourists interpret and assess algorithmically generated experiences. The proposed framework integrates AI-enhanced travel stimuli, personal and social determinants, with AI-driven personalization (as a cognitive-affective mechanism), smart tourism technologies (STTs), algorithmically pre-structured expectations, contextual conditions, satisfaction, and behavioral outcomes across the pre-trip, on-site, and post-trip stages. This approach clarifies that satisfaction stems from how tourists interpret algorithmic stimuli in relation to their own expectations, emotions, cultural values, and perceived autonomy. The framework provides both a theoretical foundation for empirical research and practical guidance for destination managers seeking to design AI-supported personalization strategies that leverage algorithmic efficiency to enhance traveler satisfaction.<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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Keywords<\/h2>\n<\/div>\n<\/div>\n<\/div>\n
Personalization,<\/div>\n
Smart tourism technologies,<\/div>\n
Artificial intelligence,<\/div>\n
Tourist decision-making,<\/div>\n
Satisfaction<\/div>\n
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 <\/p>\n","protected":false},"excerpt":{"rendered":"

Cutting edge research Aydin, B., Buhalis, D., 2027, The impact of AI on tourist decision-making within the smart tourism ecosystem: Personalization towards satisfaction, Tourism Management, Vol. 119, 105563, https:\/\/doi.org\/10.1016\/j.tourman.2026.105563 Abstract Tourism experiences are shaped within digitally and algorithmically structured environments. Artificial intelligence (AI) actively mediates tourist interactions and decision-making processes. This study draws upon a… Read more » about \u00a0Cutting edge research\u00a0 Aydin, B., Buhalis, D., 2027, The impact of AI on tourist decision-making within the smart tourism ecosystem: Personalization towards satisfaction, Tourism Management, Vol. 119, 105563, https:\/\/doi.org\/10.1016\/j.tourman.2026.105563\u00a0<\/span><\/a><\/p>\n","protected":false},"author":327,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"ngg_post_thumbnail":0,"footnotes":""},"categories":[164],"tags":[],"class_list":["post-5208","post","type-post","status-publish","format-standard","hentry","category-news"],"acf":[],"_links":{"self":[{"href":"https:\/\/microsites.bournemouth.ac.uk\/tourism\/wp-json\/wp\/v2\/posts\/5208","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/microsites.bournemouth.ac.uk\/tourism\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/microsites.bournemouth.ac.uk\/tourism\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/microsites.bournemouth.ac.uk\/tourism\/wp-json\/wp\/v2\/users\/327"}],"replies":[{"embeddable":true,"href":"https:\/\/microsites.bournemouth.ac.uk\/tourism\/wp-json\/wp\/v2\/comments?post=5208"}],"version-history":[{"count":1,"href":"https:\/\/microsites.bournemouth.ac.uk\/tourism\/wp-json\/wp\/v2\/posts\/5208\/revisions"}],"predecessor-version":[{"id":5209,"href":"https:\/\/microsites.bournemouth.ac.uk\/tourism\/wp-json\/wp\/v2\/posts\/5208\/revisions\/5209"}],"wp:attachment":[{"href":"https:\/\/microsites.bournemouth.ac.uk\/tourism\/wp-json\/wp\/v2\/media?parent=5208"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/microsites.bournemouth.ac.uk\/tourism\/wp-json\/wp\/v2\/categories?post=5208"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/microsites.bournemouth.ac.uk\/tourism\/wp-json\/wp\/v2\/tags?post=5208"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}