{"id":"https://openalex.org/W3116171166","doi":"https://doi.org/10.1109/tencon50793.2020.9293710","title":"An Integrated Theory for Chatbot Use in Air Travel: Questionnaire Development and Validation","display_name":"An Integrated Theory for Chatbot Use in Air Travel: Questionnaire Development and Validation","publication_year":2020,"publication_date":"2020-11-16","ids":{"openalex":"https://openalex.org/W3116171166","doi":"https://doi.org/10.1109/tencon50793.2020.9293710","mag":"3116171166"},"language":"en","primary_location":{"id":"doi:10.1109/tencon50793.2020.9293710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon50793.2020.9293710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","raw_type":"proceedings-article"},"type":"article","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/A5037703328","display_name":"Hazel Trapero","orcid":null},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":true,"raw_author_name":"Hazel Trapero","raw_affiliation_strings":["De La Salle University Manila, Manila, Philippines"],"affiliations":[{"raw_affiliation_string":"De La Salle University Manila, Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009938176","display_name":"Joel Ilao","orcid":"https://orcid.org/0000-0001-7601-6605"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Joel Ilao","raw_affiliation_strings":["De La Salle University Manila, Manila, Philippines"],"affiliations":[{"raw_affiliation_string":"De La Salle University Manila, Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039253339","display_name":"Rutcher Lacaza","orcid":"https://orcid.org/0000-0003-0887-5728"},"institutions":[{"id":"https://openalex.org/I4210140868","display_name":"Far Eastern University","ror":"https://ror.org/045dhqd98","country_code":"PH","type":"education","lineage":["https://openalex.org/I4210140868"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Rutcher Lacaza","raw_affiliation_strings":["Far Eastern University, Manila, Philippines"],"affiliations":[{"raw_affiliation_string":"Far Eastern University, Manila, Philippines","institution_ids":["https://openalex.org/I4210140868"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037703328"],"corresponding_institution_ids":["https://openalex.org/I5996616"],"apc_list":null,"apc_paid":null,"fwci":3.7406,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.94640582,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"652","last_page":"657"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10068","display_name":"Technology Adoption and User Behaviour","score":0.9930999875068665,"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":0.9930999875068665,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11536","display_name":"Consumer Retail Behavior Studies","score":0.9699000120162964,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6596190929412842},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5895155668258667},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5604020953178406},{"id":"https://openalex.org/keywords/aviation","display_name":"Aviation","score":0.5297539830207825},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.5124526619911194},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4883217513561249},{"id":"https://openalex.org/keywords/chatbot","display_name":"Chatbot","score":0.47004738450050354},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.4569590091705322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44851189851760864},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.44838547706604004},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.42347806692123413},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4167081117630005},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3817139267921448},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2249981164932251}],"concepts":[{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6596190929412842},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5895155668258667},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5604020953178406},{"id":"https://openalex.org/C74448152","wikidata":"https://www.wikidata.org/wiki/Q765633","display_name":"Aviation","level":2,"score":0.5297539830207825},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.5124526619911194},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4883217513561249},{"id":"https://openalex.org/C2779041454","wikidata":"https://www.wikidata.org/wiki/Q870780","display_name":"Chatbot","level":2,"score":0.47004738450050354},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.4569590091705322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44851189851760864},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.44838547706604004},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.42347806692123413},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4167081117630005},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3817139267921448},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2249981164932251},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon50793.2020.9293710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon50793.2020.9293710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W243937045","https://openalex.org/W396103574","https://openalex.org/W651446213","https://openalex.org/W1057205713","https://openalex.org/W1519969400","https://openalex.org/W1550931254","https://openalex.org/W1557992034","https://openalex.org/W1573234480","https://openalex.org/W1791587663","https://openalex.org/W1984294110","https://openalex.org/W2027368157","https://openalex.org/W2100379340","https://openalex.org/W2101241470","https://openalex.org/W2137904825","https://openalex.org/W2141167937","https://openalex.org/W2183844768","https://openalex.org/W2194612747","https://openalex.org/W2606636926","https://openalex.org/W2759879861","https://openalex.org/W2765764428","https://openalex.org/W2891004579","https://openalex.org/W2897068901","https://openalex.org/W2903792865","https://openalex.org/W2930081282","https://openalex.org/W2942172177","https://openalex.org/W2945752171","https://openalex.org/W2951735588","https://openalex.org/W2979723700","https://openalex.org/W3009855271","https://openalex.org/W3121958438","https://openalex.org/W3122385685","https://openalex.org/W3122947385","https://openalex.org/W3124061660","https://openalex.org/W4297813086","https://openalex.org/W6627198706","https://openalex.org/W6646126965","https://openalex.org/W6685791887","https://openalex.org/W6736461433","https://openalex.org/W6744586565","https://openalex.org/W6761087637"],"related_works":["https://openalex.org/W4383501580","https://openalex.org/W4214931137","https://openalex.org/W4313813117","https://openalex.org/W4382052417","https://openalex.org/W3192088754","https://openalex.org/W4387007686","https://openalex.org/W3084631705","https://openalex.org/W3176146353","https://openalex.org/W4293646425","https://openalex.org/W3150216605"],"abstract_inverted_index":{"Airline":[0],"industry":[1,78,125],"is":[2,49,81,94,105,244],"a":[3,85,106,157],"major":[4],"global":[5],"leader":[6],"in":[7,76,84,122,135,156,207],"aviation":[8],"which":[9,238],"has":[10,186],"made":[11],"the":[12,56,72,77,90,97,118,123,128,136,152,161,171,187,193,200,210,222,227,235,241],"world":[13],"an":[14,19,50,147],"alluring":[15],"smaller":[16],"place":[17,83],"with":[18],"enormous":[20],"level":[21],"of":[22,52,92,96,108,120,131,154,203,209],"mobility":[23],"and":[24,58,110,145,173],"accessibility.":[25],"It":[26],"even":[27],"provides":[28],"service":[29,47,158],"to":[30,64,69,71,99,116,143,196],"almost":[31],"every":[32],"other":[33],"sector,":[34],"however,":[35],"it":[36,185],"does":[37],"not":[38,217],"receive":[39],"significant":[40],"attention,":[41],"despite":[42],"its":[43,46,167],"importance.":[44],"Moreover,":[45],"quality":[48],"aggregate":[51],"different":[53],"interactions":[54],"between":[55],"customers":[57],"airline":[59,124,162],"companies.":[60],"This":[61],"drove":[62],"them":[63],"implement":[65],"new":[66,73],"business":[67],"model":[68],"conform":[70],"competitive":[74],"atmosphere":[75],"whose":[79],"operation":[80],"taking":[82],"completely":[86],"globalized":[87],"environment.":[88],"Thus,":[89,139],"use":[91,119],"chatbots":[93,121,155],"one":[95,178],"avenues":[98],"meet":[100],"this":[101,140],"end.":[102],"However,":[103],"there":[104],"dearth":[107],"standardized":[109],"validated":[111],"instrument":[112,148],"that":[113,149,191,240],"best":[114],"fit":[115],"evaluate":[117,151],"based":[126],"on":[127,170],"combined":[129],"set":[130],"constructs":[132,211],"as":[133,164,166],"identified":[134],"conceptual":[137],"framework.":[138],"study":[141],"aims":[142],"develop":[144],"validate":[146],"will":[150],"adoption":[153],"industry,":[159,163],"like":[160],"well":[165],"non-adoption.":[168],"Based":[169],"reliability":[172,194,224],"internal":[174,242],"consistency":[175,243],"evaluation,":[176],"only":[177],"item":[179],"was":[180],"deleted":[181],"(PIIT":[182],"construct)":[183],"since":[184],"lowest":[188],"item-test":[189],"correlation":[190],"caused":[192],"coefficient":[195,225],"be":[197],"less":[198],"than":[199,234],"suggested":[201,236],"value":[202],"0.70.":[204],"All":[205],"statements":[206],"each":[208],"had":[212],"positive":[213],"signs,":[214],"thus,":[215],"were":[216],"reversely":[218],"worded.":[219],"Lastly,":[220],"all":[221],"scale":[223],"or":[226,247],"overall":[228],"alpha":[229],"values":[230],"are":[231],"way":[232],"higher":[233],"value,":[237],"means":[239],"either":[245],"acceptable":[246],"highly":[248],"acceptable.":[249]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}