{"id":"https://openalex.org/W7225385751","doi":"https://doi.org/10.1108/jhtt-04-2026-0462","title":"Disentangling fairness, accountability and transparency in AI travel recommendations: the role of algorithm trust across hedonic and utilitarian contexts","display_name":"Disentangling fairness, accountability and transparency in AI travel recommendations: the role of algorithm trust across hedonic and utilitarian contexts","publication_year":2026,"publication_date":"2026-11-06","ids":{"openalex":"https://openalex.org/W7225385751","doi":"https://doi.org/10.1108/jhtt-04-2026-0462"},"language":"en","primary_location":{"id":"doi:10.1108/jhtt-04-2026-0462","doi":"https://doi.org/10.1108/jhtt-04-2026-0462","is_oa":false,"landing_page_url":"https://doi.org/10.1108/jhtt-04-2026-0462","pdf_url":null,"source":{"id":"https://openalex.org/S87112736","display_name":"Journal of Hospitality and Tourism Technology","issn_l":"1757-9880","issn":["1757-9880","1757-9899"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-scientific","cwts-core","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Hospitality and Tourism Technology","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135063882","display_name":"Jung-eun Bae","orcid":"https://orcid.org/0009-0007-3447-5214","observed_orcids":["https://orcid.org/0009-0007-3447-5214"]},"institutions":[{"id":"https://openalex.org/I51226738","display_name":"Dong-A University","ror":"https://ror.org/03qvtpc38","country_code":"KR","type":"education","lineage":["https://openalex.org/I51226738"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jung-Eun Bae","raw_affiliation_strings":["Dong-A University Department of International Trade, , Busan,"],"raw_orcid":"https://orcid.org/0009-0007-3447-5214","affiliations":[{"raw_affiliation_string":"Dong-A University Department of International Trade, , Busan,","institution_ids":["https://openalex.org/I51226738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5161034086","display_name":"Jongkuk Shin","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jongkuk Shin","raw_affiliation_strings":["Pusan National University Department of Business Administration, , Busan,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pusan National University Department of Business Administration, , Busan,","institution_ids":["https://openalex.org/I4921948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5161034086"],"corresponding_institution_ids":["https://openalex.org/I4921948"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.45559999346733093,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.45559999346733093,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.3840000033378601,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10068","display_name":"Technology Adoption and User Behaviour","score":0.06639999896287918,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fairness-accountability-and-transparency","display_name":"fairness, accountability, and transparency","score":0.8960000276565552},{"id":"https://openalex.org/keywords/recommendation-acceptance","display_name":"recommendation acceptance","score":0.5950000286102295},{"id":"https://openalex.org/keywords/explainable-ai","display_name":"explainable AI","score":0.8190000057220459},{"id":"https://openalex.org/keywords/ai-ethics","display_name":"AI ethics","score":0.7049999833106995},{"id":"https://openalex.org/keywords/algorithmic-fairness","display_name":"algorithmic fairness","score":0.6570000052452087},{"id":"https://openalex.org/keywords/algorithmic-bias","display_name":"algorithmic bias","score":0.6779999732971191},{"id":"https://openalex.org/keywords/tourist-behavior","display_name":"tourist behavior","score":0.5239999890327454}],"concepts":[{"id":"https://openalex.org/C2776007630","wikidata":"https://www.wikidata.org/wiki/Q2798912","display_name":"Accountability","level":2,"score":0.8847000002861023},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.8062999844551086},{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.7124000191688538},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5008000135421753},{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.49070000648498535},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.41780000925064087},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.39959999918937683},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3621000051498413},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.35120001435279846},{"id":"https://openalex.org/C23213687","wikidata":"https://www.wikidata.org/wiki/Q301468","display_name":"Consumer behaviour","level":2,"score":0.34860000014305115},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.34549999237060547},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.33719998598098755},{"id":"https://openalex.org/C2778449503","wikidata":"https://www.wikidata.org/wiki/Q329777","display_name":"Appeal","level":2,"score":0.326200008392334},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.32519999146461487},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3075999915599823},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.3068000078201294},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.29600000381469727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29339998960494995},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/jhtt-04-2026-0462","doi":"https://doi.org/10.1108/jhtt-04-2026-0462","is_oa":false,"landing_page_url":"https://doi.org/10.1108/jhtt-04-2026-0462","pdf_url":null,"source":{"id":"https://openalex.org/S87112736","display_name":"Journal of Hospitality and Tourism Technology","issn_l":"1757-9880","issn":["1757-9880","1757-9899"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-scientific","cwts-core","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Hospitality and Tourism Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[{"display_name":"Observational Study","id":"https://openalex.org/study-designs/observational-study"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1574235309","https://openalex.org/W1968206986","https://openalex.org/W1987364024","https://openalex.org/W1992193527","https://openalex.org/W2018201949","https://openalex.org/W2050251515","https://openalex.org/W2059179344","https://openalex.org/W2100379340","https://openalex.org/W2106096361","https://openalex.org/W2122912498","https://openalex.org/W2800068874","https://openalex.org/W2902634493","https://openalex.org/W2908054697","https://openalex.org/W2942109571","https://openalex.org/W2953522645","https://openalex.org/W2969896603","https://openalex.org/W2981731882","https://openalex.org/W3011865677","https://openalex.org/W3013952374","https://openalex.org/W3093033010","https://openalex.org/W3125633690","https://openalex.org/W4235678817","https://openalex.org/W4386100619","https://openalex.org/W4386266594","https://openalex.org/W4390405442","https://openalex.org/W4390984237","https://openalex.org/W4393487710","https://openalex.org/W4396621688","https://openalex.org/W4399442975","https://openalex.org/W4408203052","https://openalex.org/W4408979805","https://openalex.org/W4409446025","https://openalex.org/W4409624680","https://openalex.org/W4409712602","https://openalex.org/W4411043098","https://openalex.org/W4414242809","https://openalex.org/W4414339977"],"related_works":["https://openalex.org/W7224178892","https://openalex.org/W7223127290","https://openalex.org/W7225248662","https://openalex.org/W7163176644","https://openalex.org/W7116739544","https://openalex.org/W4407280499","https://openalex.org/W7217352766","https://openalex.org/W6917514661","https://openalex.org/W7203836245","https://openalex.org/W4416231774"],"abstract_inverted_index":{"Purpose":[0],"This":[1,282],"study":[2,283],"aims":[3],"to":[4,158,233,262,289,297,313,338,366],"examine":[5],"how":[6,25],"tourists\u2019":[7],"perceptions":[8],"of":[9,44,72,215,259,286,324,341],"fairness,":[10],"accountability":[11,98,117,123,177,327],"and":[12,24,30,55,68,99,107,118,144,155,182,190,326],"transparency":[13,91,119,216,318],"(FAT)":[14],"in":[15,65,127,331,348],"artificial":[16],"intelligence":[17],"(AI)":[18],"recommendation":[19,28,105,199,223,260,350],"algorithms":[20],"shape":[21],"algorithm":[22,88,314],"trust":[23,26,102,113,125,194,315,364],"influences":[27],"acceptance":[29,106],"resistance,":[31],"with":[32,61,90,317],"tourism":[33,73,229,298,356],"product":[34,74,368],"type":[35,75],"as":[36,344],"a":[37,137,345],"moderator.":[38],"Design/methodology/approach":[39],"A":[40],"scenario-based":[41],"online":[42],"survey":[43],"355":[45],"Korean":[46],"adult":[47],"consumers":[48,232,245,264],"was":[49,76],"conducted":[50],"via":[51],"travel-related":[52],"Naver":[53],"caf\u00e9s":[54],"KakaoTalk":[56],"communities.":[57],"Hypotheses":[58],"were":[59,114],"tested":[60],"structural":[62],"equation":[63],"modeling":[64],"AMOS":[66],"23.0,":[67],"the":[69,93,128,160,196,242,252,287,292,305,320,339],"moderating":[70],"role":[71,214],"assessed":[77],"through":[78,112],"multigroup":[79],"analysis.":[80],"Findings":[81],"All":[82],"three":[83,306],"FAT":[84,295,307,343],"dimensions":[85,308],"positively":[86,103],"predicted":[87,104],"trust,":[89],"showing":[92,319],"largest":[94],"effect,":[95],"followed":[96],"by":[97],"fairness.":[100],"Algorithm":[101],"reduced":[108],"resistance.":[109],"Indirect":[110],"effects":[111],"significant":[115],"for":[116,179,186,208,227,254,361],"but":[120],"not":[121,310],"fairness;":[122],"influenced":[124],"only":[126],"utilitarian":[129,180,332],"condition.":[130],"Research":[131],"limitations/implications":[132],"Self-reported,":[133],"cross-sectional":[134],"data":[135],"from":[136,265],"Korean-only":[138],"sample":[139],"may":[140,270,309],"limit":[141],"causal":[142],"inference":[143],"generalizability.":[145],"Future":[146],"research":[147],"could":[148],"use":[149],"objective":[150],"behavioral":[151],"data,":[152],"longitudinal":[153],"designs":[154],"cross-cultural":[156],"samples":[157],"extend":[159],"FAT\u2013trust\u2013behavior":[161],"framework.":[162],"Practical":[163],"implications":[164,202],"Tourism":[165],"platforms":[166,357],"should":[167,220],"prioritize":[168],"explainable":[169],"AI":[170,198,210,293,349,363],"features,":[171],"adopt":[172],"context-sensitive":[173],"communication":[174],"\u2013":[175,189,316,335],"emphasizing":[176],"cues":[178],"services":[181],"transparency-based":[183],"emotional":[184],"appeal":[185],"hedonic":[187],"ones":[188],"focus":[191],"on":[192],"building":[193],"at":[195],"first":[197],"touchpoint.":[200],"Social":[201],"The":[203,212,301,352],"findings":[204,302],"provide":[205],"empirical":[206,359],"grounding":[207],"tourism-specific":[209],"governance.":[211],"dominant":[213],"suggests":[217],"that":[218,244,269,304],"policymakers":[219],"consider":[221],"introducing":[222],"rationale":[224],"disclosure":[225],"requirements":[226],"AI-powered":[228],"platforms,":[230],"enabling":[231],"understand":[234],"why":[235],"specific":[236,367],"products":[237],"are":[238],"suggested.":[239],"In":[240],"addition,":[241],"finding":[243],"cannot":[246],"directly":[247],"evaluate":[248],"algorithmic":[249,267],"fairness":[250,257],"highlights":[251],"need":[253],"independent,":[255],"third-party":[256],"audits":[258],"systems":[261],"protect":[263],"potential":[266],"bias":[268],"systematically":[271],"favor":[272],"certain":[273],"destinations,":[274],"accommodations":[275],"or":[276],"price":[277],"segments":[278],"over":[279],"others.":[280],"Originality/value":[281],"is":[284],"one":[285],"few":[288],"empirically":[290],"apply":[291],"ethics":[294],"framework":[296,354],"consumer":[299],"behavior.":[300],"suggest":[303],"contribute":[311],"equally":[312],"strongest":[321],"association":[322],"regardless":[323],"context":[325],"becoming":[328],"relevant":[329],"primarily":[330],"service":[333],"settings":[334],"which":[336],"points":[337],"limitations":[340],"treating":[342],"uniform":[346],"construct":[347],"design.":[351],"resulting":[353],"offers":[355],"an":[358],"basis":[360],"tailoring":[362],"strategies":[365],"categories.":[369]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-11-07T00:00:00"}
