{"id":"https://openalex.org/W7225791187","doi":"https://doi.org/10.21203/rs.3.rs-11298826/v1","title":"Must-Have or Nice-to-Have? Factors Influencing Chinese Travelers\u2019 Intention to Use E-Boarding Passes: Using Mixed Methods Approaches","display_name":"Must-Have or Nice-to-Have? Factors Influencing Chinese Travelers\u2019 Intention to Use E-Boarding Passes: Using Mixed Methods Approaches","publication_year":2026,"publication_date":"2026-11-11","ids":{"openalex":"https://openalex.org/W7225791187","doi":"https://doi.org/10.21203/rs.3.rs-11298826/v1"},"language":"en","primary_location":{"id":"doi:10.21203/rs.3.rs-11298826/v1","doi":"https://doi.org/10.21203/rs.3.rs-11298826/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-11298826/v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21203/rs.3.rs-11298826/v1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103005459","display_name":"Dimin Wang","orcid":"https://orcid.org/0000-0003-0339-807X","observed_orcids":["https://orcid.org/0000-0003-0339-807X"]},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Dimin Wang","raw_affiliation_strings":["Macau University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Macau University of Science and Technology","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101300031","display_name":"Xianmei Wu","orcid":"https://orcid.org/0009-0009-6356-5563","observed_orcids":["https://orcid.org/0009-0009-6356-5563","https://orcid.org/0000-0003-0328-9017"]},"institutions":[{"id":"https://openalex.org/I78757542","display_name":"University of Newcastle Australia","ror":"https://ror.org/00eae9z71","country_code":"AU","type":"education","lineage":["https://openalex.org/I78757542"]},{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["AU","GB"],"is_corresponding":true,"raw_author_name":"Xianmei Wu","raw_affiliation_strings":["Newcastle Business School University of NewcastleCallaghan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle Business School University of NewcastleCallaghan","institution_ids":["https://openalex.org/I78757542","https://openalex.org/I84884186"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101300031"],"corresponding_institution_ids":["https://openalex.org/I78757542","https://openalex.org/I84884186"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10068","display_name":"Technology Adoption and User Behaviour","score":0.9667999744415283,"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"}},"topics":[{"id":"https://openalex.org/T10068","display_name":"Technology Adoption and User Behaviour","score":0.9667999744415283,"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"}},{"id":"https://openalex.org/T11599","display_name":"Aviation Industry Analysis and Trends","score":0.00839999970048666,"subfield":{"id":"https://openalex.org/subfields/2000","display_name":"General Economics, Econometrics and Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10055","display_name":"Diverse Aspects of Tourism Research","score":0.00839999970048666,"subfield":{"id":"https://openalex.org/subfields/1409","display_name":"Tourism, Leisure and Hospitality Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C123269153","wikidata":"https://www.wikidata.org/wiki/Q1897038","display_name":"Theory of reasoned action","level":2,"score":0.598800003528595},{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.5877000093460083},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5056999921798706},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.47769999504089355},{"id":"https://openalex.org/C135981907","wikidata":"https://www.wikidata.org/wiki/Q188056","display_name":"Triangulation","level":2,"score":0.4560000002384186},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4174000024795532},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4043000042438507},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.3971000015735626},{"id":"https://openalex.org/C2776185967","wikidata":"https://www.wikidata.org/wiki/Q112945","display_name":"Technology acceptance model","level":3,"score":0.38179999589920044},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3395000100135803},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.33169999718666077},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.33149999380111694},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.31220000982284546},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.3075999915599823},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3005000054836273},{"id":"https://openalex.org/C13606891","wikidata":"https://www.wikidata.org/wiki/Q2623243","display_name":"Conceptual model","level":2,"score":0.2881999909877777},{"id":"https://openalex.org/C65067816","wikidata":"https://www.wikidata.org/wiki/Q2295139","display_name":"Computer-assisted web interviewing","level":2,"score":0.26989999413490295}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21203/rs.3.rs-11298826/v1","doi":"https://doi.org/10.21203/rs.3.rs-11298826/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-11298826/v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.21203/rs.3.rs-11298826/v1","doi":"https://doi.org/10.21203/rs.3.rs-11298826/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-11298826/v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Ranked":[1],"as":[2,134],"the":[3,51,57,148,157,171],"world\u2019s":[4],"second":[5],"largest":[6],"airport":[7],"system,":[8],"China":[9],"attaches":[10],"great":[11],"importance":[12],"to":[13,42,88,104,146,177],"sustainable":[14,184],"travel.":[15],"Travelers\u2019":[16],"adoption":[17,182],"of":[18,59,94,123,159],"electronic":[19,44],"boarding":[20,45],"passes":[21,46],"could":[22],"promote":[23],"green":[24],"behavior":[25],"and":[26,40,56,80,91,114,120,175,183],"sustainability.":[27],"Using":[28],"mixed":[29],"methods":[30],"approaches,":[31],"this":[32],"study":[33,155],"examines":[34],"factors":[35],"influencing":[36],"Chinese":[37,179],"travelers\u2019":[38,124,180],"attitudes":[39,125],"intentions":[41],"adopt":[43],"(E-boarding":[47],"passes),":[48],"based":[49],"on":[50],"technology":[52,181],"acceptance":[53],"model":[54],"(TAM)":[55],"theory":[58,165],"reasoned":[60],"action":[61],"(TRA).":[62],"In":[63,97],"Study":[64,98],"1,":[65],"317":[66],"online":[67],"data":[68],"responses":[69],"are":[70,102,117],"analyzed":[71],"using":[72],"partial":[73],"least":[74],"squares":[75],"structural":[76],"equation":[77],"modeling":[78],"(PLS-SEM)":[79],"necessary":[81,92,121,136],"condition":[82,137],"analysis":[83],"(NCA)":[84],"via":[85],"SmartPLS":[86],"4.0":[87],"identify":[89],"sufficient":[90,119],"conditions":[93,122],"proposed":[95],"factors.":[96],"2,":[99],"semi-structured":[100],"interviews":[101],"conducted":[103],"illuminate":[105],"quantitative":[106],"results.":[107],"The":[108,154],"findings":[109],"indicate":[110],"that":[111],"emotional":[112],"value":[113],"environmental":[115,131],"concern":[116,132],"both":[118],"towards":[126],"E-boarding":[127],"pass":[128],"adoption.":[129],"Although":[130],"emerges":[133],"a":[135,141],"(must-have":[138],"factor),":[139],"while":[140],"certain":[142],"level":[143],"is":[144],"required":[145],"achieve":[147],"desired":[149],"outcome":[150],"(i.e.,":[151],"behavioral":[152],"intention).":[153],"illustrates":[156],"triangulation":[158],"advanced":[160],"mixed-method":[161],"approaches":[162],"can":[163],"advance":[164],"testing,":[166],"offering":[167],"useful":[168],"insights":[169],"for":[170],"air":[172],"travel":[173],"industry":[174],"policymakers":[176],"understand":[178],"behaviors.":[185]},"counts_by_year":[],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2026-11-12T00:00:00"}
